@Preamble{"\input bibnames.sty " #
"\input path.sty " #
"\ifx \undefined \booktitle \def \booktitle #1{{{\em #1}}} \fi" #
"\ifx \undefined \circled \def \circled #1{(#1)} \fi" #
"\ifx \undefined \fun \def \fun #1{{{\tt #1}}} \fi" #
"\ifx \undefined \pkg \def \pkg #1{{{\tt #1}}} \fi" #
"\ifx \undefined \reg \def \reg {\circled{R}} \fi" #
"\ifx \undefined \url \def \url #1{{\tt #1}} \fi" #
"\hyphenation{Pren-tice Rich-ard Spring-er} "
}
@String{ack-nhfb = "Nelson H. F. Beebe,
University of Utah,
Department of Mathematics, 110 LCB,
155 S 1400 E RM 233,
Salt Lake City, UT 84112-0090, USA,
Tel: +1 801 581 5254,
FAX: +1 801 581 4148,
e-mail: \path|beebe@math.utah.edu|,
\path|beebe@acm.org|,
\path|beebe@computer.org| (Internet),
URL: \path|https://www.math.utah.edu/~beebe/|"}
@String{j-ALGORITHMS-BASEL = "Algorithms ({Basel})"}
@String{j-AMER-STAT = "The American Statistician"}
@String{j-ANZJS = "Australian \& New Zealand Journal of
Statistics"}
@String{j-APPL-MATH-COMP = "Applied Mathematics and Computation"}
@String{j-APPL-STAT = "Applied Statistics"}
@String{j-ASPECTS-APPL-BIOL = "Aspects of Applied Biology"}
@String{j-ASTA-ADV-STAT-ANAL = "AStA. Advances in Statistical Analysis"}
@String{j-ATT-TECH-J = "AT\&T Technical Journal"}
@String{j-BIOMETRICS = "Biometrics"}
@String{j-BULL-MATH-BIOL = "Bulletin of Mathematical Biology"}
@String{j-CACM = "Communications of the ACM"}
@String{j-CCPE = "Concurrency and Computation: Prac\-tice and
Experience"}
@String{j-CHANCE = "Chance"}
@String{j-COMMUN-STAT-SIMUL-COMPUT = "Communications in Statistics: Simulation
and Computation"}
@String{j-COMP-GEOSCI = "Computers and Geosciences"}
@String{j-COMP-PHYS-COMM = "Computer Physics Communications"}
@String{j-COMP-STAT = "Computational Statistics"}
@String{j-COMPUT-MATH-APPL = "Computers and Mathematics with Applications"}
@String{j-COMPUT-SCI-ENG = "Computing in Science and Engineering"}
@String{j-COMPUT-STAT-DATA-ANAL = "Computational Statistics \& Data Analysis"}
@String{j-DDJ = "Dr. Dobb's Journal of Software Tools"}
@String{j-ECOL-MODELL = "Ecological Modelling"}
@String{j-EMPIR-SOFTWARE-ENG = "Empirical Software Engineering"}
@String{j-FISH-RES = "Fisheries Research"}
@String{j-FISHERIES = "Fisheries"}
@String{j-FRONTIERS-MAR-SCI = "Frontiers in Marine Science"}
@String{j-ICES-J-MAR-SCI = "ICES Journal of Marine Science"}
@String{j-IEEE-SOFTWARE = "IEEE Software"}
@String{j-IEEE-TRANS-SOFTW-ENG = "IEEE Transactions on Software Engineering"}
@String{j-INT-J-PARALLEL-PROG = "International Journal of Parallel
Programming"}
@String{j-INT-J-STAT-PROBAB = "International Journal of Statistics
and Probability"}
@String{j-INT-STAT-REV = "International Statistical Review =
Revue Internationale de Statistique"}
@String{j-J-AM-STAT-ASSOC = "Journal of the American Statistical
Association"}
@String{j-J-APPL-ECONOMETRICS = "Journal of Applied Econometrics"}
@String{j-J-APPL-STAT = "Journal of Applied Statistics"}
@String{j-J-ASSOC-INF-SCI-TECHNOL = "Journal of the Association for Information
Science and Technology"}
@String{j-J-COMPUT-BIOL = "Journal of Computational Biology"}
@String{j-J-COMPUT-CHEM = "Journal of Computational Chemistry"}
@String{j-J-COMPUT-GRAPH-STAT = "Journal of Computational and Graphical
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@String{j-J-COMPUT-SCI = "Journal of Computational Science"}
@String{j-J-FISH-BIOL = "Journal of Fish Biology"}
@String{j-J-OPEN-SOURCE-SOFT = "Journal of Open Source Software"}
@String{j-J-OPEN-RES-SOFT = "Journal of Open Research Software"}
@String{j-J-PAR-DIST-COMP = "Journal of Parallel and Distributed
Computing"}
@String{j-J-R-STAT-SOC-SER-A-STAT-SOC = "Journal of the Royal
Statistical Society. Series A
(Statistics in Society)"}
@String{j-J-R-STAT-SOC-SER-D-STATISTICIAN = "Journal of the Royal Statistical
Society. Series D (The Statistician)"}
@String{j-J-SOFTW-EVOL-PROC = "Journal of Software: Evolution and Process"}
@String{j-J-STAT-COMPUT-SIMUL = "Journal of Statistical Computation and
Simulation"}
@String{j-J-STAT-SOFT = "Journal of Statistical Software"}
@String{j-J-SYST-SOFTW = "The Journal of Systems and Software"}
@String{j-J-STAT-THEORY-PRACT = "Journal of Statistical Theory and Practice"}
@String{j-J-SUPERCOMPUTING = "The Journal of Supercomputing"}
@String{j-J-TIME-SER-ANAL = "Journal of Time Series Analysis"}
@String{j-LECT-NOTES-COMP-SCI = "Lecture Notes in Computer Science"}
@String{j-LINUX-J = "Linux Journal"}
@String{j-MATH-COMPUT-APPL = "Mathematical and Computational Applications"}
@String{j-MATH-GAZ = "The Mathematical Gazette"}
@String{j-METRON = "Metron"}
@String{j-N-AM-J-FISH-MANAG = "North American Journal of Fisheries Management"}
@String{j-NETWORK-SECURITY = "Network Security"}
@String{j-OPT-METH-SOFT = "Optimization Methods and Software"}
@String{j-PACMPL = "Proceedings of the ACM on Programming
Languages (PACMPL)"}
@String{j-PROC-VLDB-ENDOWMENT = "Proceedings of the VLDB Endowment"}
@String{j-RELIABLE-COMPUTING = "Reliable Computing = Nadezhnye vychisleniia"}
@String{j-SCIENTOMETRICS = "Scientometrics"}
@String{j-SIGACT = "ACM SIGACT News"}
@String{j-SIGPLAN = "ACM SIG{\-}PLAN Notices"}
@String{j-SIGNIF = "Significance ({Oxford, England})"}
@String{j-SILICON-GRAPHICS-WORLD = "Silicon Graphics World"}
@String{j-SOC-METH-RES = "Sociological methods and research"}
@String{j-SOFTWAREX = "SoftwareX"}
@String{j-STAT-COMPUT = "Statistics and Computing"}
@String{j-STAT-MED = "Statistics in Medicine"}
@String{j-STAT-PAPERS = "Statistical Papers"}
@String{j-STAT-SCI = "Statistical Science"}
@String{j-TCBB = "IEEE\slash ACM Transactions on Computational
Biology and Bioinformatics"}
@String{j-TECHNOMETRICS = "Technometrics"}
@String{j-TOMACS = "ACM Transactions on Modeling and
Computer Simulation"}
@String{j-TOMS = "ACM Transactions on Mathematical Software"}
@String{j-TUGboat = "TUGboat"}
@String{j-WIRES = "WIREs Computational Statistics"}
@String{pub-ACADEMIC = "Academic Press"}
@String{pub-ACADEMIC:adr = "New York, NY, USA"}
@String{pub-APRESS = "Apress"}
@String{pub-APRESS:adr = "Berkeley, CA, USA"}
@String{pub-AW = "Ad{\-d}i{\-s}on-Wes{\-l}ey"}
@String{pub-AW:adr = "Reading, MA, USA"}
@String{pub-BROOKS-COLE = "Brooks\slash Cole Publishing Co."}
@String{pub-BROOKS-COLE:adr = "Pacific Grove, CA, USA"}
@String{pub-CAMBRIDGE = "Cambridge University Press"}
@String{pub-CAMBRIDGE:adr = "Cambridge, UK"}
@String{pub-CHAPMAN-HALL = "Chapman and Hall, Ltd."}
@String{pub-CHAPMAN-HALL:adr = "London, UK"}
@String{pub-CHAPMAN-HALL-CRC = "Chapman and Hall/CRC"}
@String{pub-CHAPMAN-HALL-CRC:adr = "Boca Raton, FL, USA"}
@String{pub-CRC = "CRC Press"}
@String{pub-CRC:adr = "2000 N.W. Corporate Blvd., Boca Raton,
FL 33431-9868, USA"}
@String{pub-DUXBURY = "Duxbury Press"}
@String{pub-DUXBURY:adr = "Belmont, CA, USA"}
@String{pub-DUXBURY-PRESS = "Duxbury Press"}
@String{pub-DUXBURY-PRESS:adr = "North Scituate, MA, USA"}
@String{pub-GORDON-BREACH = "Gordon and Breach"}
@String{pub-GORDON-BREACH:adr = "Langhorne, PA, USA"}
@String{pub-IEEE = "IEEE Computer Society Press"}
@String{pub-IEEE:adr = "1109 Spring Street, Suite 300, Silver
Spring, MD 20910, USA"}
@String{pub-MANNING = "Manning Publications"}
@String{pub-MANNING:adr = "Greenwich, CT, USA"}
@String{pub-NETWORK-THEORY = "Network Theory Ltd."}
@String{pub-NETWORK-THEORY:adr = "Bristol, UK"}
@String{pub-NO-STARCH = "No Starch Press"}
@String{pub-NO-STARCH:adr = "San Francisco, CA, USA"}
@String{pub-NORTH-HOLLAND = "North-Hol{\-}land"}
@String{pub-NORTH-HOLLAND:adr = "Amsterdam, The Netherlands"}
@String{pub-ORA = "O'Reilly \& {Associates, Inc.}"}
@String{pub-ORA:adr = "981 Chestnut Street, Newton, MA 02164, USA"}
@String{pub-ORA-MEDIA = "O'Reilly Media, Inc."}
@String{pub-ORA-MEDIA:adr = "1005 Gravenstein Highway North, Sebastopol,
CA 95472, USA"}
@String{pub-OXFORD = "Oxford University Press"}
@String{pub-OXFORD:adr = "Walton Street, Oxford OX2 6DP, UK"}
@String{pub-PACKT = "Packt Publishing"}
@String{pub-PACKT:adr = "Birmingham"}
@String{pub-PRINCETON = "Princeton University Press"}
@String{pub-PRINCETON:adr = "Princeton, NJ, USA"}
@String{pub-SAS = "SAS Institute"}
@String{pub-SAS:adr = "SAS Circle, Box 8000, Cary, NC
27512-8000, USA"}
@String{pub-STATSCI = "StatSci, a Division of MathSoft, Inc."}
@String{pub-STATSCI:adr = "Seattle, WA, USA"}
@String{pub-SV = "Spring{\-}er-Ver{\-}lag"}
@String{pub-SV:adr = "Berlin, Germany~/ Heidelberg, Germany~/
London, UK~/ etc."}
@String{pub-TAYLOR-FRANCIS = "Taylor and Francis"}
@String{pub-TAYLOR-FRANCIS:adr = "Boca Raton, FL, USA"}
@String{pub-USGPO = "United States Government Printing Office"}
@String{pub-USGPO:adr = "Washington, DC, USA"}
@String{pub-WADSWORTH = "Wadsworth"}
@String{pub-WADSWORTH:adr = "Pacific Grove, CA, USA"}
@String{pub-WILEY = "Wiley"}
@String{pub-WILEY:adr = "New York, NY, USA"}
@String{pub-WILEY-INTERSCIENCE = "Wiley-In{\-}ter{\-}sci{\-}ence"}
@String{pub-WILEY-INTERSCIENCE:adr = "New York, NY, USA"}
@String{pub-WORLD-SCI = "World Scientific Publishing
Co. Pte. Ltd."}
@String{pub-WORLD-SCI:adr = "P. O. Box 128, Farrer Road,
Singapore 9128"}
@InProceedings{Chambers:1969:SDL,
author = "J. M. Chambers",
title = "A Statistical Data Language",
crossref = "Milton:1969:SCP",
pages = "179--199",
year = "1969",
bibdate = "Mon Sep 04 14:28:14 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/unix.bib",
acknowledgement = ack-nhfb,
remark = "This paper describes early work that led to the S
programming language, which was first described in
three books recorded in s-plus.bib (Becker:1984:IED,
Becker:1985:ESS, Becker:1988:NPL).",
}
@InProceedings{Becker:1976:GZS,
author = "Richard A. Becker and John M. Chambers",
editor = "David C. (David Caster) Hoaglin and Roy E. Welsch",
booktitle = "{Proceedings of the 9th Interface Symposium on
Computer Science and Statistics: Harvard University,
Massachusetts Institute of Technology, April 1--2,
1976}",
title = "{GR-Z}: a System of Graphical Subroutines for Data
Analysis",
publisher = "Prindle, Weber, Schmidt",
address = "Boston, MA, USA",
bookpages = "x + 323",
pages = "??--??",
year = "1976",
ISBN = "0-87150-237-2",
ISBN-13 = "978-0-87150-237-7",
LCCN = "QA276.A1 I53 1976",
bibdate = "Thu Aug 13 08:46:07 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
remark = "The GR-Z system was a precursor to visualization parts
of the S language [see \cite{Chambers:2020:RDS}].
Chambers' Web site at
\url{https://statweb.stanford.edu/~jmc4/pub.html} lists
this as pages 409--415 in the 10th symposium in 1977.
Is that a reference list error, or was the paper
presented twice, or were two similar papers published?
Further Web searching suggests that the 10th, not the
9th, may be correct, but I cannot yet find table of
contents data for the two meetings.",
}
@InProceedings{Becker:1977:GZS,
author = "Richard A. Becker and John M. Chambers",
editor = "David C. (David Caster) Hoaglin and Dennis W. Fife",
booktitle = "{Computer Science and Statistics: Tenth Annual
Symposium on the Interface: Proceedings of the 10th
Annual Symposium held at the National Bureau of
Standards, Gaithersburg, Maryland, April 14--15,
1977}",
title = "{GR-Z}: a System of Graphical Subroutines for Data
Analysis",
publisher = pub-USGPO,
address = pub-USGPO:adr,
bookpages = "xi + 456",
pages = "409--415",
year = "1977",
ISBN = "1-390-52421-3",
ISBN-13 = "978-1-390-52421-5",
LCCN = "QA276.A1 I53 1976",
bibdate = "Thu Aug 13 08:46:07 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "NBS Special publication 503",
acknowledgement = ack-nhfb,
remark = "The GR-Z system was a precursor to visualization parts
of the S language [see \cite{Chambers:2020:RDS}]. The
reference on page 84:16 in that paper seems to be off
by one year. The complete book text is found in
\url{google.com/books}, and no ISBN is visible, but
library catalogs show the one listed here.",
}
@Book{Tukey:1977:EDA,
author = "John W. Tukey",
title = "Exploratory data analysis",
publisher = pub-AW,
address = pub-AW:adr,
pages = "xvi + 688",
year = "1977",
ISBN = "0-201-07616-0",
ISBN-13 = "978-0-201-07616-5",
LCCN = "HA29 .T916 1977",
bibdate = "Tue Jun 01 15:28:00 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{Becker:1981:LSD,
author = "Richard A. Becker and John M. Chambers",
title = "{S}: a Language and System for Data Analysis",
organization = "AT\&T Bell Laboratories",
address = "Murray Hill, NJ, USA",
year = "1981",
LCCN = "QA76.7 .B43 1981",
bibdate = "Wed Aug 10 10:41:43 1994",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Chambers:1983:GMD,
editor = "John M. Chambers and W. S. Cleveland and B. Kleiner
and P. A. Tukey",
title = "Graphical methods for data analysis",
publisher = pub-WADSWORTH,
address = pub-WADSWORTH:adr,
pages = "xiv + 395",
year = "1983",
ISBN = "0-534-98052-X",
ISBN-13 = "978-0-534-98052-8",
LCCN = "QA276.3 .G73 1983",
bibdate = "Thu Oct 20 05:31:00 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "The Wadsworth statistics/probability series",
acknowledgement = ack-nhfb,
keywords = "S",
subject = "Statistics; Graphic methods; Congresses; Computer
graphics; Congresses",
}
@Article{Becker:1984:DSD,
author = "R. A. Becker and J. M. Chambers",
title = "Design of the {S} System for Data Analysis",
journal = j-CACM,
volume = "27",
number = "5",
pages = "486--495",
month = may,
year = "1984",
CODEN = "CACMA2",
ISSN = "0001-0782 (print), 1557-7317 (electronic)",
ISSN-L = "0001-0782",
bibdate = "Tue Aug 16 23:35:52 1994",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/imager/imager.84.bib;
https://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications of the ACM",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "statistics, and I3m Data Analysis",
}
@Book{Becker:1984:IED,
author = "Richard A. Becker and John M. Chambers",
title = "{S}: An Interactive Environment for Data Analysis and
Graphics",
publisher = pub-WADSWORTH,
address = pub-WADSWORTH:adr,
pages = "xii + 550",
year = "1984",
ISBN = "0-534-03313-X",
ISBN-13 = "978-0-534-03313-2",
LCCN = "QA76.73.S15 B44 1984",
bibdate = "Wed Aug 10 10:43:21 1994",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Becker:1985:DSD,
author = "R. A. Becker and J. M. Chambers",
title = "Design of the {S} system for data analysis",
journal = j-ATT-TECH-J,
volume = "64",
number = "9",
pages = "2131--2151",
year = "1985",
CODEN = "ATJOEM",
ISSN = "2376-676X (print), 8756-2324 (electronic)",
ISSN-L = "8756-2324",
bibdate = "Fri Nov 12 13:09:16 2010",
bibsource = "Compendex database;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "S is a language and system for interactive data
analysis and graphics. It emphasizes interactive
analysis and graphics, ease of use, flexibility, and
extensibility. While sharing many characteristics with
other statistical systems, S differs significantly in
its design goals, its implementation, and the way it is
used. The author presents some of the design concepts
and implementation techniques in S and relates these
general ideas in computing to the specific design goals
for S and to other statistical systems.",
acknowledgement = ack-nhfb,
fjournal = "AT\&T Technical Journal",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1538-7305/issues/",
keywords = "computer graphics; data analysis; high level
languages; interactive systems",
subject = "data analysis; S; language; interactive data analysis;
graphics; ease of use; flexibility; extensibility;
statistical systems",
}
@Book{Becker:1985:ESS,
author = "Richard A. Becker and John M. Chambers",
title = "Extending the {S} System",
publisher = pub-WADSWORTH,
address = pub-WADSWORTH:adr,
pages = "viii + 166",
year = "1985",
ISBN = "0-534-05016-6",
ISBN-13 = "978-0-534-05016-0",
LCCN = "QA276.4 .B4241 1985",
bibdate = "Wed Aug 10 10:38:24 1994",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Cleveland:1985:EGD,
author = "William S. Cleveland",
title = "The elements of graphing data",
publisher = pub-WADSWORTH,
address = pub-WADSWORTH:adr,
pages = "xii + 323",
year = "1985",
ISBN = "0-534-03730-5 (paperback)",
ISBN-13 = "978-0-534-03730-7 (paperback)",
LCCN = "QA90 .C54 1985",
bibdate = "Thu Oct 20 05:36:46 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
price = "US\$18.95",
acknowledgement = ack-nhfb,
keywords = "S",
subject = "Graphic methods",
}
@Book{MathSoft:1985:PUG,
author = "{MathSoft, Inc.}",
title = "{S-PLUS} User's Guide: Version 3.3 for {Windows}",
publisher = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = sep,
year = "1985",
ISBN = "",
ISBN-13 = "",
LCCN = "",
bibdate = "Tue Jan 28 14:18:45 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@InProceedings{Chambers:1986:PED,
author = "John M. Chambers",
title = "{S} as a Programming Environment for Data Analysis and
Graphics",
crossref = "Allen:1986:CSS",
pages = "206--209 (physical)",
year = "1986",
bibdate = "Wed Nov 12 16:05:19 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.dtic.mil/dtic/tr/fulltext/u2/a166019.pdf",
acknowledgement = ack-nhfb,
}
@Book{Devroye:1986:NUR,
author = "Luc Devroye",
title = "Non-uniform random variate generation",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 843",
year = "1986",
ISBN = "0-387-96305-7",
ISBN-13 = "978-0-387-96305-1",
LCCN = "QA274 .D48 1986",
bibdate = "Tue Jun 01 15:12:57 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$54.00",
acknowledgement = ack-nhfb,
}
@Book{Ripley:1987:SS,
author = "B. D. Ripley",
title = "Stochastic Simulation",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xi + 237",
year = "1987",
ISBN = "0-471-81884-4",
ISBN-13 = "978-0-471-81884-7",
ISSN = "0271-6356",
LCCN = "QA76.9.C65 R571 1987",
bibdate = "Tue Jun 01 15:21:00 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$29.95",
series = "Wiley series in probability and mathematical
statistics. Applied probability and statistics",
acknowledgement = ack-nhfb,
}
@Book{Becker:1988:NPLa,
author = "Richard A. Becker and John M. Chambers and Allan R.
Wilks",
title = "The New {S} Programming Language: a Programming
Environment for Data Analysis and Graphics",
publisher = pub-WADSWORTH # " and " # pub-BROOKS-COLE,
address = pub-WADSWORTH:adr # " and " # pub-BROOKS-COLE:adr,
pages = "xvii + 702",
year = "1988",
ISBN = "0-534-09192-X, 0-534-09193-8",
ISBN-13 = "978-0-534-09192-7, 978-0-534-09193-4",
LCCN = "QA76.73.S15 B43 1988",
MRclass = "68-01, 62-04, 62-07, 68P05, 68U99",
bibdate = "Wed Aug 10 17:37:02 1994",
bibsource = "https://www.math.utah.edu/pub/tex/bib/master.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
ZMnumber = "0642.68003",
acknowledgement = ack-nhfb,
}
@Book{Becker:1988:NLPb,
author = "Richard A. Becker and Allan Reeve Wilks",
title = "The New {S} Language: a Programming Environment for
Data Analysis and Graphics",
publisher = pub-CHAPMAN-HALL,
address = pub-CHAPMAN-HALL:adr,
pages = "xvii + 702",
year = "1988",
ISBN = "0-412-74150-4",
ISBN-13 = "978-0-412-74150-0",
LCCN = "????",
bibdate = "Tue Jun 11 15:41:40 MDT 2024",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Azzalini:1990:LSD,
author = "A. Azzalini and A. W. Bowman",
title = "A look at some data on the {Old Faithful Geyser}",
journal = j-APPL-STAT,
volume = "39",
number = "3",
pages = "357--365",
year = "1990",
CODEN = "APSTAG",
ISSN = "0035-9254 (print), 1467-9876 (electronic)",
ISSN-L = "0035-9254",
bibdate = "Tue Jun 01 14:58:18 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Applied Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-9876/issues",
}
@Book{Hardle:1991:STI,
author = "Wolfgang H{\"a}rdle",
title = "Smoothing Techniques: with Implementation in {S}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xi + 261",
year = "1991",
ISBN = "0-387-97367-2 (New York), 3-540-97367-2 (Berlin)",
ISBN-13 = "978-0-387-97367-8 (New York), 978-3-540-97367-6
(Berlin)",
LCCN = "QA278 .H348 1990",
bibdate = "Tue Jun 01 14:54:36 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Lubinsky:1991:CTF,
author = "David J. Lubinsky",
title = "Comment: Two Functional Programming Environments for
Statistics --- {Lisp-Stat} and {S}",
journal = j-STAT-SCI,
volume = "6",
number = "4",
pages = "352--360",
month = nov,
year = "1991",
CODEN = "STSCEP",
ISSN = "0883-4237 (print), 2168-8745 (electronic)",
ISSN-L = "0883-4237",
bibdate = "Fri May 30 12:48:33 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statsci.bib",
URL = "http://projecteuclid.org/euclid.ss/1177011575",
acknowledgement = ack-nhfb,
fjournal = "Statistical Science",
journal-URL = "http://projecteuclid.org/all/euclid.ss",
}
@Article{Heiberger:1992:DFR,
author = "Richard M. Heiberger and Richard A. Becker",
title = "Design of an {S} Function for Robust Regression Using
Iteratively Reweighted Least Squares",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "1",
number = "3",
pages = "181--196",
year = "1992",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.1992.10474580",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Thu Aug 13 10:27:39 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/abs/10.1080/10618600.1992.10474580",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.amstat.org/publications/jcgs/;
http://www.tandfonline.com/loi/ucgs20",
onlinedate = "21 Feb 2012",
}
@Manual{MathSoft:1992:PPM,
title = "{S-PLUS} Programmer's Manual",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.1",
pages = "various",
month = oct,
year = "1992",
bibdate = "Tue May 07 14:38:42 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{MathSoft:1992:PUM,
title = "{S-PLUS} User's Manual Supplement",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.1",
pages = "various",
month = oct,
year = "1992",
bibdate = "Tue May 07 14:38:42 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@TechReport{Miller:1992:SNS,
author = "A. J. Miller",
title = "Some notes on statistical packages for {PCs}",
institution = "CSIRO Division of Mathematics \& Statistics",
address = "Melbourne, Australia",
pages = "55",
month = oct,
year = "1992",
bibdate = "Thu Apr 19 05:52:50 2001",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Misc/allison.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
keywords = "language; maths; package; S; S+; S-plus; SAS; Splus;
stats; survey",
}
@InProceedings{Rowlingson:1992:SSP,
author = "B. S. Rowlingson and P. J. Diggle",
editor = "P. Bresnahan and E. Corwin and D. Cowen",
booktitle = "Proceedings: 5th International Symposium on Spatial
Data Handling: August 3--7, 1992, Charleston, {SC},
{USA}",
title = "{Splancs}: Spatial Point Pattern Analysis Code in
{S-Plus}",
volume = "2",
publisher = "Humanities and Social Sciences Computing Lab,
University of South Carolina",
address = "Charleston, SC, USA",
bookpages = "xiv + 725",
pages = "713--722",
year = "1992",
ISBN = "0-9633532-0-9 (vol. 1), 0-9633532-1-7 (vol. 2),
0-9633532-2-5 (set)",
ISBN-13 = "978-0-9633532-0-7 (vol. 1), 978-0-9633532-1-4 (vol.
2), 978-0-9633532-2-1 (set)",
bibdate = "Thu Apr 19 06:05:40 2001",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Database/GIS/sdh92.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Two volumes.",
abstract = "In this paper we present a package of routines written
in the S language and Fortran for the analysis of
spatial point patterns. A large body of techniques
exists for analyzing point patterns, but there is no
integrated framework in which these techniques can be
applied. We have used the commercial package, S-Plus,
to create such an environment. S-Plus's flexible,
extensible nature makes it easy to integrate spatial
point pattern analysis routines. We do not lose any of
the powerful functionality of S-Plus. Analysis of
spatial point patterns is described by many authors,
for example (Diggle, 1983) and (Ripley, 1981). We have
implemented some of the methods described there as well
as newer techniques in the field. Specific functions
have been written for: point data definition and
display; geometrical point/polygon overlay functions;
point pattern summary statistics; point pattern
simulations and Monte-Carlo tests. We have constructed
a practical tool for the development of new spatial
statistical methods and the analysis of data. This
paper is a condensed version of Rowlingson and Diggle
(1991a), which contains further examples and complete
listing of the help pages and code for Splancs.",
}
@Book{Sibuya:1992:DAU,
author = "M. Sibuya and R. Shibata",
title = "Data Analysis by Using {S}",
publisher = "Kyouritsu Syppan",
address = "????, Japan",
pages = "????",
year = "1992",
ISBN = "????",
ISBN-13 = "????",
LCCN = "????",
bibdate = "Tue Jun 01 15:24:29 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Chambers:1993:SMS,
editor = "John M. Chambers and Trevor J. Hastie",
title = "Statistical Models in {S}",
publisher = pub-CHAPMAN-HALL # " and " # pub-WADSWORTH,
address = pub-CHAPMAN-HALL:adr # " and " # pub-WADSWORTH:adr,
pages = "xv + 608",
year = "1993",
ISBN = "0-412-05301-2 (Chapman and Hall), 0-534-16765-9
(Wadsworth paperback), 0-534-16764-0 (Wadsworth
hardcover)",
ISBN-13 = "978-0-412-05301-6 (Chapman and Hall),
978-0-534-16765-3 (Wadsworth paperback),
978-0-534-16764-6 (Wadsworth hardcover)",
LCCN = "QA276.4 .S65 1992",
bibdate = "Wed Aug 10 10:31:05 1994",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$40.95",
acknowledgement = ack-nhfb,
bootitle = "Statistical Models in {S}",
}
@Book{Cleveland:1993:VD,
author = "William S. Cleveland",
title = "Visualizing Data",
publisher = "Hobart Press",
address = "Summit, NJ, USA",
pages = "360",
year = "1993",
ISBN = "0-9634884-0-6",
ISBN-13 = "978-0-9634884-0-4",
LCCN = "QA276.3.C57 1993",
bibdate = "Tue Jun 01 15:10:42 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$50.00",
acknowledgement = ack-nhfb,
}
@Article{Hallman:1993:RP,
author = "J. Hallman",
title = "Review of {S-PLUS}",
journal = j-J-APPL-ECONOMETRICS,
volume = "8",
number = "2",
pages = "213--219",
month = apr,
year = "1993",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.3950080208",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Mon Feb 5 11:41:22 MST 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
onlinedate = "7 Nov 2006",
xxpages = "213--220",
}
@InProceedings{LoPresti:1993:IOP,
author = "C. A. {Lo Presti}",
title = "Implementation of the Object-Oriented Paradigm in
{S-Plus}",
crossref = "IEEE:1993:NCR",
pages = "186--191",
year = "1993",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Marazzi:1993:ARF,
author = "Alfio Marazzi and Johann Joss and Alex
Randriamiharisoa",
title = "Algorithms, Routines, and {S} Functions for Robust
Statistics: The {FORTRAN} Library {ROBETH} with an
Interface to {S-PLUS}",
publisher = pub-WADSWORTH # " and " # pub-BROOKS-COLE,
address = pub-WADSWORTH:adr # " and " # pub-BROOKS-COLE:adr,
pages = "xii + 436",
year = "1993",
ISBN = "0-534-19698-5",
ISBN-13 = "978-0-534-19698-1",
LCCN = "QA276.4 .M267 1993",
bibdate = "Sun Sep 28 10:42:07 MDT 1997",
bibsource = "http://www.amazon.com/exec/obidos/ISBN=0534196985/wholesaleproductA/;
http://www.cbooks.com/;
https://www.math.utah.edu/pub/tex/bib/fortran3.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$69.50",
URL = "http://www.cbooks.com/sqlnut/SP/search/gtsumt?source=&isbn=0534196985",
acknowledgement = ack-nhfb,
keywords = "robeth; robust statistics -- data processing",
}
@Manual{MathSoft:1993:CCP,
title = "A Crash Course in {S-PLUS}",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.2",
pages = "various",
month = dec,
year = "1993",
bibdate = "Tue May 07 14:34:29 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{MathSoft:1993:GIP,
title = "A Gentle Introduction to {S-PLUS}",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.2",
pages = "various",
month = dec,
year = "1993",
bibdate = "Tue May 07 14:34:29 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{MathSoft:1993:IMM,
title = "{S-PLUS} Installation and Maintenance Manual",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.2",
pages = "various",
month = dec,
year = "1993",
bibdate = "Tue May 07 14:34:29 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{MathSoft:1993:PGS,
title = "{S-PLUS} Guide to Statistical and Mathematical
Analysis",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.2",
pages = "various",
month = dec,
year = "1993",
bibdate = "Tue May 07 12:10:01 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{MathSoft:1993:PPM,
title = "{S-PLUS} Programmer's Manual",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.2",
pages = "various",
month = dec,
year = "1993",
bibdate = "Tue May 07 12:10:01 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{MathSoft:1993:PUM,
title = "{S-PLUS} User's Manual",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.2",
pages = "various",
month = dec,
year = "1993",
bibdate = "Tue May 07 12:10:01 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Rowlingson:1993:SSP,
author = "B. S. Rowlingson and P. J. Diggle",
title = "{Splancs}: spatial point pattern analysis code in
{S-Plus}",
journal = j-COMP-GEOSCI,
volume = "19",
number = "5",
pages = "627--655",
month = may,
year = "1993",
CODEN = "CGOSDN",
ISSN = "0098-3004 (print), 1873-7803 (electronic)",
ISSN-L = "0098-3004",
MRnumber = "93J-12038",
bibdate = "Mon Feb 5 11:41:22 MST 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
affiliation = "Mathematics Dept, Lancaster Univ, Lancaster LA1 4YF,
UK",
fjournal = "Computers and Geosciences",
keywords = "GIS; point pattern analysis; spatial statistics",
}
@Manual{StatSci:1993:CCP,
title = "A Crash Course in {S-PLUS}",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = dec,
year = "1993",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1993:GIP,
title = "A Gentle Introduction to {S-PLUS}, Version 3.2",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = dec,
year = "1993",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1993:PGS,
title = "{S-PLUS} Guide to Statistical and Mathematical
Analysis, Version 3.2",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = dec,
year = "1993",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1993:PPM,
title = "{S-PLUS} Programmer's Manual, Version 3.2",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = dec,
year = "1993",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1993:PUM,
title = "{S-PLUS} User's Manual, Version 3.2",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = dec,
year = "1993",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Suselbeck:1993:PEP,
author = "Benno S{\"u}selbeck",
title = "{S und S-PLUS: Eine Einf{\"u}hrung in Programmierung
und Anwendung}",
publisher = "Fischer",
address = "Stuttgart, Germany",
pages = "xii + 602",
year = "1993",
ISBN = "3-437-40232-3",
ISBN-13 = "978-3-437-40232-6",
LCCN = "????",
bibdate = "Tue Jun 01 15:26:27 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@InProceedings{Becker:1994:BH,
author = "R. A. Becker",
title = "A Brief History of {S}",
crossref = "Dirschedl:1994:CSP",
pages = "81--110",
year = "1994",
bibdate = "Tue Jun 01 15:03:07 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Bouvier:1994:NNL,
author = "Annie Bouvier and Sylvie Huet",
title = "{\tt nls2}: Non-linear regression by {S-PLUS} ---
functions",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "18",
number = "1",
pages = "187--190",
month = aug,
year = "1994",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:39:47 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/0167947394901384",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Book{Cleveland:1994:EGD,
author = "William S. Cleveland",
title = "The elements of graphing data",
publisher = "AT\&T Bell Laboratories",
address = "Murray Hill, NJ, USA",
edition = "Revised",
pages = "297",
year = "1994",
ISBN = "0-9634884-1-4 (cloth)",
ISBN-13 = "978-0-9634884-1-1 (cloth)",
LCCN = "QA90 .C54 1994",
bibdate = "Thu Oct 20 05:36:46 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
keywords = "S-Plus",
subject = "Graphic methods",
}
@Book{Everitt:1994:HSA,
author = "Brian S. Everitt",
title = "A Handbook of Statistical Analyses using {S-PLUS}",
publisher = pub-CHAPMAN-HALL,
address = pub-CHAPMAN-HALL:adr,
pages = "viii + 143",
year = "1994",
ISBN = "0-412-56310-X",
ISBN-13 = "978-0-412-56310-2",
LCCN = "QA276.4.E93 1994",
bibdate = "Tue Jun 01 15:14:23 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@TechReport{Farrell:1994:HDB,
author = "W. E. Farrell and J. Gaffney and J. Given and R. D.
Jenkins and N. Hall",
title = "A Hydrographic Database built on {Montage} and
{S-PLUS}",
type = "Technical Report",
number = "S2K-94-47",
institution = "University of California, Berkeley",
address = "Berkeley, CA, USA",
pages = "31",
month = mar,
year = "1994",
bibdate = "Thu Apr 19 05:56:30 2001",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Techreports/NCSTRL/UCB.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "A powerful software environment for research can be
created by combining database management systems and
commercial software for analysis and display of data.
This provides a richer programming environment and more
sophisticated graphical possibilities than are offered
by present database systems. It provides a data storage
and retrieval system that adheres to a standard syntax,
SQL, and which is more robust than file-based
approaches. Only recently has it become possible to
combine these two kinds of software but increasingly
database and scientific application software has the
open architecture that is conducive to the data sharing
that makes such combinations possible. New database
systems also accommodate the complex types of data of
interest to scientists. We have a way to link
appropriate database software and scientific
application software which is called the Generic
Database Interface (GDI). In essence, it consists of a
core set of functions, complemented by product-specific
interface code which is unique to each database product
and each application product. The GDI provides the
mechanism for both submitting a SQL query to any
supported database and also handling the data that are
exchanged in satisfaction of the query. We illustrate
the strength of this approach by applying it to tasks
involving selection and display of ocean temperature
data using the Montage database management system and
the S-PLUS statistics application. The examples
illustrate a few of the novel capabilities of this
approach; they do not comprise a complete data
processing application.",
}
@Misc{Gersten:1994:PAI,
author = "R. Carey Gersten",
title = "{S-PLUS} for {ARC\slash INFO}: your link to a powerful
statistical view",
publisher = pub-STATSCI,
address = pub-STATSCI:adr,
year = "1994",
LCCN = "G70.2 .S65 1994 VIDEO/C Reserve",
bibdate = "Tue Feb 20 11:55:12 MST 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Credits: Producer, R. Carey Gersten. Demonstrates the
advantages of combining the ARC/INFO computer program
with S-PLUS, as a means of GIS analysis to provide more
productive and insightful spatial analysis and
statistical modeling. Applications are broad including
natural resource planning, business geodemographic
analysis and urban and rural planning.",
acknowledgement = ack-nhfb,
keywords = "ARC/INFO (computer program); geographic information
systems; geography -- data processing; information
storage and retrieval systems -- geography; S-PLUS
(computer program)",
}
@InProceedings{LoPresti:1994:IOO,
author = "C. A. {Lo Presti}",
title = "Implementation of the Object Oriented Paradigm in
{S-Plus}",
crossref = "IEEE:1994:NCR",
pages = "170--177",
year = "1994",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Misc{MathSoft:1994:PAI,
author = "{MathSoft, Inc.}",
title = "{S-PLUS} for {ARC\slash INFO}: your link to a powerful
statistical view",
howpublished = "Video recording (12 min.) plus text (48 p.).",
publisher = pub-STATSCI,
address = pub-STATSCI:adr,
year = "1994",
bibdate = "Tue Jan 28 14:17:05 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
}
@Article{Nason:1994:DWT,
author = "G. P. Nason and B. W. Silverman",
title = "The Discrete Wavelet Transform in {S}",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "3",
number = "2",
pages = "163--191",
year = "1994",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.1994.10474637",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Thu Aug 13 10:27:41 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/abs/10.1080/10618600.1994.10474637",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.amstat.org/publications/jcgs/;
http://www.tandfonline.com/loi/ucgs20",
onlinedate = "21 Feb 2012",
}
@Book{Spector:1994:IP,
author = "Phil Spector",
title = "An Introduction to {S} and {S-Plus}",
publisher = pub-DUXBURY,
address = pub-DUXBURY:adr,
pages = "xiii + 286",
year = "1994",
ISBN = "0-534-19866-X",
ISBN-13 = "978-0-534-19866-4",
LCCN = "QA76.73.S15 S63 1994",
bibdate = "Wed Aug 10 13:40:49 1994",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$28.95",
acknowledgement = ack-nhfb,
keywords = "S (computer programming language)",
tableofcontents = "Preface \\
1. Introduction / 1 \\
2. Data in S / 15 \\
3. Operators and Functions / 43 \\
4. Introduction to Graphics in S / 75 \\
5. Subsetting and Reshaping Data / 89 \\
6. Functions in S / 113 \\
7. Programming in S / 147 \\
8. Printing and Formatting / 171 \\
9. Advanced Graphics / 183 \\
10. Statistical Models / 215 \\
11. Applied Statistical Models / 259 \\
Index / 278",
}
@Book{Venables:1994:MAS,
author = "William N. Venables and Brian D. Ripley",
title = "Modern Applied Statistics with {S-PLUS}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xii + 462",
year = "1994",
ISBN = "0-387-94350-1 (New York), 3-540-94350-1 (Berlin)",
ISBN-13 = "978-0-387-94350-3 (New York), 978-3-540-94350-1
(Berlin)",
LCCN = "QA276.4 .V46 1994",
bibdate = "Tue May 07 12:49:41 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@InProceedings{Wolfe:1994:GOR,
author = "M. A. Wolfe",
title = "On Global Optimization in {R} Using Interval
Arithmetic",
crossref = "Bianco:1994:MAM",
pages = "61--76",
year = "1994",
bibdate = "Mon Oct 20 07:16:07 MDT 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@InProceedings{Anonymous:1995:S,
author = "Anonymous",
title = "{S-PLUS}",
crossref = "Bartley:1995:FET",
pages = "299--299",
year = "1995",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Calaway:1995:OOP,
author = "Richard Calaway",
title = "Object-Oriented Programming in {S}",
journal = j-DDJ,
volume = "20",
number = "10",
pages = "44, 46, 48--49, 51, 113--115",
month = oct,
year = "1995",
CODEN = "DDJOEB",
ISSN = "1044-789X",
bibdate = "Thu Jan 9 09:35:43 MST 1997",
bibsource = "Compendex database;
http://www.ddj.com/index/author/index.htm;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
classification = "723.1; 723.1.1; 723.2; 723.3; 922.2; C6110J
(Object-oriented programming); C6120 (File
organisation); C6140D (High level languages)",
fjournal = "Dr. Dobb's Journal of Software Tools",
journalabr = "Dr Dobb's J Software Tools Prof Program",
keywords = "Browser function; Character sets; Classes; Computer
software; Data analysis; Data reduction; Data
structures; Database systems; Default; Functions;
Generic function; Generic functions; Graphics; Group
methods; High level languages; High level object
oriented language; Object oriented programming;
Object-oriented programming; Regression analysis;
Replacement methods; S (programming language); S
language; S-Plus classes; Statistical tests; Systems
analysis; Time series analysis",
pagecount = "5",
thesaurus = "Abstract data types; Complete computer programs;
Object-oriented languages; Object-oriented
programming",
}
@TechReport{Chambers:1995:OV,
author = "J. M. Chambers",
title = "Overview of Version 4 of {S}",
institution = "AT\&T Bell Laboratories",
address = "Murray Hill, NJ, USA",
day = "23",
month = jan,
year = "1995",
bibdate = "Tue Jun 01 15:09:33 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@TechReport{Clement:1995:DPP,
author = "Mark J. Clement and Michael J. Quinn",
title = "Dynamic Performance Prediction For Scalable Parallel
Computing",
type = "Technical Report",
number = "95-80-04",
institution = "Oregon State University",
address = "Corvallis, OR, USA",
year = "1995",
bibdate = "Thu Apr 19 05:54:59 2001",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Techreports/NCSTRL/ORST.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "Performance prediction is necessary in order to deal
with multi-dimensional performance effects on parallel
systems. The compiler-generated analytical model
developed in this paper accounts for the effects of
cache behavior, CPU execution time and message passing
overhead for real programs written in high level
data-parallel languages. The performance prediction
technique is shown to be effective in analyzing several
non-trivial applications as the problem size and number
of processors vary. We leverage technology from the
maple symbolic manipulation system and the S-PLUS
statistical package in order to present users with
critical performance information necessary for
performance debugging, architectural enhancement and
procurement of parallel systems. The usability of these
results is improved through specifying confidence
intervals as well as predicted execution times for
parallel applications. Cost optimal analysis techniques
are also developed using the symbolic equations for
execution time.",
}
@Article{Davies:1995:BRBd,
author = "Neville Davies",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analysis Using S-Plus}}, by B. S. Everitt}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "158",
number = "3",
pages = "633--634",
month = "????",
year = "1995",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.2307/2983455",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jan 24 15:13:39 MST 2015",
bibsource = "http://www.jstor.org/stable/i349661;
https://www.math.utah.edu/pub/tex/bib/jrss-a-1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2983455",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
}
@Article{Grunsky:1995:PTD,
author = "Eric Grunsky",
title = "{S-PLUS} Trellis Displays",
journal = j-COMP-GEOSCI,
volume = "21",
number = "7",
pages = "917--??",
year = "1995",
CODEN = "CGOSDN",
ISSN = "0098-3004 (print), 1873-7803 (electronic)",
ISSN-L = "0098-3004",
bibdate = "Mon Feb 5 11:41:22 MST 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Computers and Geosciences",
}
@Article{Kimber:1995:BRB,
author = "Alan Kimber",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using S-Plus}}, by B. S. Everitt}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "44",
number = "3",
pages = "408--409",
month = "????",
year = "1995",
CODEN = "????",
DOI = "https://doi.org/10.2307/2348714",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:22 MST 2015",
bibsource = "http://www.jstor.org/stable/i316150;
https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2348714",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Ko:1995:BRBa,
author = "Daijin Ko",
title = "Book Review: {{\booktitle{An Introduction to S and
S-Plus}} by Phil Spector}",
journal = j-TECHNOMETRICS,
volume = "37",
number = "2",
pages = "232--232",
month = may,
year = "1995",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1269629",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:08 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254361;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
URL = "http://www.jstor.org/stable/1269629",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ko:1995:BRBb,
author = "Daijin Ko",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using S-Plus}} by Brian S. Everitt}",
journal = j-TECHNOMETRICS,
volume = "37",
number = "2",
pages = "232--233",
month = may,
year = "1995",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1269630",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:08 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254361;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
URL = "http://www.jstor.org/stable/1269630",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Krause:1995:ESS,
author = "Andreas Krause",
title = "Electronic Services in Statistics",
journal = "Statistical Software Newsletter in Computational
Statistics and Data Analysis",
volume = "19",
number = "5",
pages = "595--604",
year = "1995",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
bibdate = "Tue Jun 01 15:18:14 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.genedata.com/~andreas/internet/internet.html",
acknowledgement = ack-nhfb,
}
@InProceedings{Langston:1995:CMR,
author = "R. Langston",
title = "A Comparison of the {MODULE} routines with {S-PLUS}
Extensibility",
crossref = "Anonymous:1995:ACA",
pages = "1402--1405",
year = "1995",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@TechReport{Olsen:1995:SCH,
author = "N. H. Olsen and Pacific Biological Station",
title = "Software to complement {HTI}'s model 240 split-beam
echosounder: a user's guide to {HAFU} (Hydro-Acoustic
File Utilities) and {QTS} ({Qualark Tools for
S-Plus})",
type = "Technical report",
number = "2037",
institution = "Fisheries and Oceans, Canada",
address = "Nanaimo, BC, Canada",
pages = "vii + 45",
year = "1995",
ISSN = "0706-6457",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Canadian technical report of fisheries and aquatic
sciences",
acknowledgement = ack-nhfb,
annote = "Microfiche. [Ottawa]: [Minister of Supply and Services
Canada], 1995. 1 microfiche: negative.",
govtdocnumber = "DSS Cat. no. Fs 97-6/2037E",
}
@Article{Schulman:1995:DAU,
author = "Daniel A. Schulman and Alec D. Campbell and Eric C.
Kostello",
title = "Data Analysis Using {S-Plus}",
journal = j-SOC-METH-RES,
volume = "23",
number = "3",
pages = "392--??",
month = feb,
year = "1995",
ISSN = "0049-1241 (print), 1552-8294 (electronic)",
ISSN-L = "0049-1241",
bibdate = "Mon Feb 5 11:41:22 MST 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Sociological Methods and Research",
}
@Manual{StatSci:1995:PGI,
title = "{S-PLUS} Global Index",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = apr,
year = "1995",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1995:PIM,
title = "{S-PLUS} Installation and Maintenance Manual, Version
3.3",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = apr,
year = "1995",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1995:PTD,
title = "{S-PLUS} {Trellis} Displays User's Manual, Version
3.3",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = apr,
year = "1995",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1995:PVS,
title = "{S-PLUS} Version 3.3 Supplement",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "various",
month = apr,
year = "1995",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1995:RMF,
title = "Read Me First, Version 3.3",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "ii + 24",
month = apr,
year = "1995",
bibdate = "Wed Mar 12 15:14:41 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Misc{StatSci:1995:S,
author = "{Statistical Sciences, Inc}",
title = "{S-Plus}",
publisher = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.3 for X-windows.",
year = "1995",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
annote = "Software available to licenced users via FTP. Manuals
include: Gentle introduction to S-Plus. Version 3.2; S-
PLUS version 3.3 supplement; Read me first; S-Plus
programmer's manual. Version 3.2; S-Plus trellis
displays User's manual; S- Plus global index; A crash
course in S-Plus. Version 3.2; S-Plus guide to
statistical and mathematical analysis. Version 3.2; S-
Plus user's manual. Version 3.2. Graphical data
analysis system and object-oriented programming
language. System requirements: SUN Sparc, IBM RS/6000,
Hewlett--Packard 9000- 700, Silicon Graphics IRIS,
DECstation, DEC Alpha/OSF; 16 MB of RAM; Hard disk with
55 MB of free disk space; UNIX graphics devices
support: X-Window system (Motif or OPEN LOOK), various
graphics terminals; line printer/character graphics;
hardcopy: PostScript, HP Laserjet, HPGL, color
PostScript pixel image graphics.",
keywords = "Mathematical statistics -- Computer programs.",
}
@Manual{StatSci:1995:SUM,
title = "{S-PLUS} user's manual",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "Version 3.3.",
pages = "various",
month = sep,
year = "1995",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
alttitle = "S PLUS user's manual",
keywords = "Mathematical statistics -- Computer programs; S-Plus",
}
@MastersThesis{Yang:1995:RMV,
author = "Ying Yang",
title = "Random-effects model validation: a program package
using a {FORTRAN} program ({REML}) and {S-plus}",
type = "Thesis ({M.S.})",
school = "Graduate School of Public Health, University of
Pittsburgh",
address = "Pittsburgh, PA, USA",
pages = "v + 126",
year = "1995",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Anonymous:1996:MAS,
author = "Anonymous",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-Plus}}, by W. N. Venables, B. D. Ripley}",
journal = j-BIOMETRICS,
volume = "52",
number = "4",
pages = "1528",
month = dec,
year = "1996",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.2307/2532871",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Sep 19 17:29:40 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstor.org/stable/2532871",
acknowledgement = ack-nhfb,
fjournal = "Biometrics",
journal-URL = "https://www.jstor.org/journal/biometrics",
}
@Article{Anonymous:1996:SBP,
author = "Anonymous",
title = "{S+SpatialStats} builds on {S-Plus} technology",
journal = j-SILICON-GRAPHICS-WORLD,
volume = "6",
number = "6",
pages = "15--15",
month = jun,
year = "1996",
ISSN = "1057-7041",
bibdate = "Mon Jun 03 11:44:12 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Silicon Graphics World",
}
@Book{Bartoszynski:1996:PSI,
author = "Robert Bartoszy{\'n}ski and Magdalena
Niewiadomska-Bugaj",
title = "Probability and statistical inference",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xvi + 826",
year = "1996",
ISBN = "0-471-31073-5 (cloth)",
ISBN-13 = "978-0-471-31073-0 (cloth)",
LCCN = "QA273 .B2584 1996",
bibdate = "Wed Sep 15 11:27:49 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
URL = "http://www.loc.gov/catdir/description/wiley031/96004105.html;
http://www.loc.gov/catdir/enhancements/fy0806/96004105-b.html;
http://www.loc.gov/catdir/toc/onix01/96004105.html",
acknowledgement = ack-nhfb,
remark = "See also second edition
\cite{Bartoszynski:2007:PSI}.",
subject = "probabilities; mathematical statistics",
}
@Article{Becker:1996:VDC,
author = "R. A. Becker and W. S. Cleveland and M.-J. Shyu",
title = "The Visual Design and Control of Trellis Display",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "5",
number = "2",
pages = "123--155",
year = "1996",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Tue Jun 01 15:00:30 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
}
@Book{Bruce:1996:AWA,
author = "Andrew Bruce and Hong-Ye Gao",
title = "Applied wavelet analysis with {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxi + 338",
year = "1996",
ISBN = "0-387-94714-0 (softcover)",
ISBN-13 = "978-0-387-94714-3 (softcover)",
LCCN = "TK5102.9.B78 1996",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Theory/Wavelets/brandon.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.springer-ny.com/catalog/np/jul96np/DATA/0-387-94714-0.html",
abstract = "This book introduces applied wavelet analysis through
the S-PLUS software system. Using a visual data
analysis approach, wavelet concepts are explained in a
way that is intuitive and easy to understand. In
addition to wavelets, a whole range of related signal
processing techniques such as wavelet packets, local
cosine analysis, and matching pursuits are covered.
Applications of wavelet analysis are illustrated,
including nonparametric function estimation, digital
image compression, and time-frequency signal analysis.
The book and software is intended for a broad range of
data analysts, scientists, and engineers. While most
textbooks on wavelet analysis require advanced training
in mathematics, this book minimizes reliance on formal
mathematical methods. Readers should be familiar with
calculus and linear algebra at the undergraduate
level.",
acknowledgement = ack-nhfb,
keywords = "Computer-aided engineering.; S (Computer program
language); Signal processing -- Mathematics; Wavelets
(Mathematics) -- Data processing",
}
@Article{Hilbe:1996:WFC,
author = "Joseph Hilbe",
title = "{Windows} File Conversion Software",
journal = j-AMER-STAT,
volume = "50",
number = "3",
pages = "268--??",
month = "????",
year = "1996",
CODEN = "ASTAAJ",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Mon May 5 07:48:12 MDT 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Book{Huet:1996:STN,
author = "S. (Sylvie) Huet and others",
title = "Statistical tools for nonlinear regression: a
practical guide with {S-PLUS} examples",
publisher = pub-SV,
address = pub-SV:adr,
pages = "ix + 154",
year = "1996",
ISBN = "0-387-94727-2",
ISBN-13 = "978-0-387-94727-3",
LCCN = "QA278.2.S73 1996",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer series in statistics",
acknowledgement = ack-nhfb,
keywords = "Nonlinear theories; Parameter estimation.; Regression
analysis",
}
@Article{Ihaka:1996:RLD,
author = "Ross Ihaka and Robert Gentleman",
title = "{R}: a Language for Data Analysis and Graphics",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "5",
number = "3",
pages = "299--314",
year = "1996",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.1996.10474713",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Thu Aug 13 10:27:44 MDT 2020",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "This is the paper that introduced the open-source R
system that grew out of S and S-Plus, independently
developed without reference to the source code of those
predecessors, but intended to be largely upward
compatible with version of the S language. R version
1.0.0 was released on 29 February 2000.",
URL = "http://www.tandfonline.com/doi/abs/10.1080/10618600.1996.10474713",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.amstat.org/publications/jcgs/",
onlinedate = "21 Feb 2012",
}
@Article{James:1996:BRB,
author = "David A. James",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-PLUS}} by W. N. Venables; B. D. Ripley}",
journal = j-TECHNOMETRICS,
volume = "38",
number = "1",
pages = "77--78",
month = feb,
year = "1996",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1268908",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:11 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254364;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
URL = "http://www.jstor.org/stable/1268908",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@InProceedings{Read:1996:BMU,
author = "Edith Read and Jennifer Gough",
booktitle = "Geography connects our world. Title: 1996 {ESRI} User
Conference: proceedings, May 20--24, 1996, Palm
Springs, {CA}",
title = "Beyond Mapping Using {GIS} for National Resource
Assessment and Analysis",
publisher = "Environmental Systems Research Institute",
address = "Redlands, CA, USA",
year = "1996",
LCCN = "G70.212 .E87 1996",
bibdate = "Thu Apr 19 06:07:43 2001",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Database/GIS/esri96.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "Many agencies and private companies now use GIS as a
tool for producing maps of wildlife habitats and other
natural resources. The next step in application of GIS
is data analysis to address issues of specific concern
to resource managers. We present three diverse examples
which show how GIS can be applied to relationships
between hydrological and biological resources. In the
first example, we show cation-anion characteristics of
spring water in the San Bernardino Mountains of
California. Plots of the data in the form of Stiff
diagrams clearly illustrate differences between
calcareous, hydrothermal waters along a fault line and
artesian waters that typify most of the sample sites.
Further study is needed to determine if such
differences help explain the patchy distribution of
certain wetland plant species within the San Bernardino
Mountains. In the second example, we show application
of GIS to vegetation transect and hydrological data
obtained as part of a long-term riparian monitoring
program in the Sierra Nevada of California.
Box-and-whisker plots of the data using S-Plus (StatSci
Division, Mathsoft, Inc., Seattle, Washington, USA)
prove especially useful in showing the distribution of
wetland indicators in relation to distance from stream.
The third example shows habitat analysis for the Santa
Ana River woolly star, an endangered plant species
whose life cycle is linked to flooding frequency and
diversity in successional stage of alluvial terraces
within the floodplain.",
xxISBN = "none",
}
@Article{Tilke:1996:BRBa,
author = "Clemens Tilke",
title = "Book Review: {{\booktitle{A handbook of statistical
analyses using S-Plus}}: Brian S. Everitt (1994):
Chapman \& Hall, 143 p., \pounds 14.99, ISBN
0-412-56310-X}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "21",
number = "5",
pages = "606",
month = may,
year = "1996",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:40:04 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947396901395",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Abrams:1997:BRM,
author = "Keith R. Abrams",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-PLUS}}. W. N. Venables and B. D. Ripley,
Springer-Verlag, New York, 1994. No. of pages: xiii +
462 + 3.5 inch diskette. Price: \pounds 24.50. ISBN:
0-387-94350-1}",
journal = j-STAT-MED,
volume = "16",
number = "13",
pages = "1548--1550",
day = "15",
month = jul,
year = "1997",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/%28SICI%291097-0258%2819970715%2916%3A13%3C1548%3A%3AAID-SIM561%3E3.0.CO%3B2-U",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:45:32 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed1990.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "04 December 1998",
}
@Book{Anonymous:1997:PLD,
author = "Anonymous",
title = "{S-PLUS: learning by doing; eine Anleitung zum
Arbeiten mit S-PLUS}",
publisher = "Lucius und Lucius",
address = "Stuttgart, Germany",
pages = "xii + 126",
year = "1997",
ISBN = "3-8282-0049-4",
ISBN-13 = "978-3-8282-0049-4",
LCCN = "????",
bibdate = "Fri May 21 10:32:51 MDT 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
annote = "Mixed media.",
}
@Book{Bowman:1997:AST,
author = "Adrian W. Bowman and Adelchi Azzalini",
title = "Applied smoothing techniques for data analysis: the
kernel approach with {S-Plus} illustrations",
volume = "18",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xi + 193",
year = "1997",
ISBN = "0-19-852396-3",
ISBN-13 = "978-0-19-852396-3",
LCCN = "QA278.B68 1997",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Oxford statistical science series",
acknowledgement = ack-nhfb,
keywords = "Smoothing (Statistics)",
}
@Article{Cribari-Neto:1997:EPE,
author = "Francisco Cribari-Neto",
title = "Econometric programming environments: {GAUSS}, {Ox}
and {S-Plus}",
journal = j-J-APPL-ECONOMETRICS,
volume = "12",
number = "1",
pages = "77--89",
month = jan,
year = "1997",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/%28SICI%291099-1255%28199701%2912%3A1%3C77%3A%3AAID-JAE425%3E3.0.CO%3B2-0",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:19:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "January 1997",
}
@Book{Davison:1997:BMT,
author = "A. C. (Anthony Christopher) Davison and D. V.
Hinkley",
title = "Bootstrap methods and their application",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "x + 582",
year = "1997",
ISBN = "0-521-57391-2 (hardcover), 0-521-57471-4 (paperback)",
ISBN-13 = "978-0-521-57391-7 (hardcover), 978-0-521-57471-6
(paperback)",
LCCN = "QA276.8 .D38 1997",
bibdate = "Tue Feb 20 11:55:12 MST 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Cambridge series on statistical and probabilistic
mathematics",
acknowledgement = ack-nhfb,
keywords = "bootstrap (statistics); Splus for Windows",
}
@Book{Krause:1997:BP,
author = "Andreas Krause and Melvin Olson",
title = "The basics of {S} and {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xi + 242",
year = "1997",
ISBN = "0-387-94985-2",
ISBN-13 = "978-0-387-94985-7",
LCCN = "QA276.4 .K73 1997",
bibdate = "Tue Sep 22 08:16:22 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
keywords = "Mathematical statistics -- Data processing.; S-Plus",
}
@Book{Krause:1997:EPA,
author = "Andreas Krause",
title = "{Einf{\"u}hrung in S und S-Plus: mit Aufgaben und
vollstandigen L{\"o}sungen}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xviii + 319",
year = "1997",
ISBN = "3-540-60932-6 (paperback)",
ISBN-13 = "978-3-540-60932-2 (paperback)",
LCCN = "????",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "Mathematical statistics -- Data processing.; S-Plus",
}
@MastersThesis{Lasecki:1997:PFF,
author = "Jennifer L. Lasecki",
title = "{S-Plus} functions and {Fortran} subroutines for
multiple comparison critical points",
type = "Thesis ({M.S.})",
school = "University of South Carolina",
address = "Columbia, SC, USA",
pages = "v + 68",
year = "1997",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@InProceedings{Martin:1997:PDI,
author = "R. Douglas Martin and Vikram Chalana",
title = "The {S-PLUS DataBlade} for {INFORMIX-Universal}
Server: The Natural Wedding of an Object Relational
Database with an Object-Oriented Data Analysis Engine",
crossref = "Hansen:1997:ICS",
pages = "126--130",
year = "1997",
bibdate = "Thu Apr 19 06:31:49 2001",
bibsource = "http://dblp.uni-trier.de/db/conf/ssdbm/ssdbm97.html#MartinC97;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://dblp.uni-trier.de/db/conf/ssdbm/MartinC97.html",
cdrom = "SSDBM97/P126.pdf",
oldlabel = "conf/ssdbm/MartinC97",
XMLdata = "ftp://ftp.informatik.uni-trier.de/pub/users/Ley/bib/records.tar.gz#conf/ssdbm/MartinC97",
}
@Article{Pillai:1997:MSD,
author = "Krishnakumar Pillai and V. S. Sukumaran Nair",
title = "A Model for Software Development Effort and Cost
Estimation",
journal = j-IEEE-TRANS-SOFTW-ENG,
volume = "23",
number = "8",
pages = "485--497",
month = aug,
year = "1997",
CODEN = "IESEDJ",
DOI = "https://doi.org/10.1109/32.624305",
ISSN = "0098-5589 (print), 1939-3520 (electronic)",
ISSN-L = "0098-5589",
bibdate = "Thu Apr 19 05:59:09 2001",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/SE/SEPL.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "Several algorithmic models have been proposed to
estimate software costs and other management
parameters. Early prediction of completion time is
absolutely essential for proper advance planning and
aversion of the possible ruin of a project. Putnam's
SLIM model offers a fairly reliable method that is used
extensively to predict project completion times and
manpower requirements as the project evolves. However,
the nature of the Norden/Rayleigh curve used by Putnam,
renders it unreliable during the initial phases of the
project, especially in projects involving a fast
manpower buildup, as is the case with most software
projects. In this paper, we propose the use of a model
that improves early prediction considerably over the
Putnam model. An analytic proof of the model's improved
performance is also demonstrated on simulated data.",
annote = "incomplete",
fjournal = "IEEE Transactions on Software Engineering",
journal-URL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=32",
keywords = "Completion time, development time, early prediction,
Gamma model, manpower, Norden/Rayleigh model",
}
@Manual{StatSci:1997:SGS,
title = "{SPlus-4} Guide to Statistics",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "xviii + 875",
month = jul,
year = "1997",
bibdate = "Tue Jan 12 11:12:20 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Order number R620203.",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1997:SPG,
title = "{SPlus-4} Programmer's Guide",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "xvi + 17--581",
month = aug,
year = "1997",
bibdate = "Tue Jan 12 11:12:20 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Order number R620201.",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1997:SUG,
title = "{SPlus-4} User's Guide",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "xiv + 15--620",
month = aug,
year = "1997",
bibdate = "Tue Jan 12 11:12:20 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Order number R620199.",
acknowledgement = ack-nhfb,
}
@Article{Struyf:1997:IRC,
author = "Anja Struyf and Mia Hubert and Peter J. Rousseeuw",
title = "Integrating robust clustering techniques in {S-PLUS}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "26",
number = "1",
pages = "17--37",
day = "6",
month = nov,
year = "1997",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:40:22 MST 2015",
bibsource = "ftp://ftp.math.utah.edu/pub/mirrors/ftp.ira.uka.de/bibliography/Math/UIA.bib;
https://www.math.utah.edu/pub/tex/bib/computstatdataanal1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947397000200",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
keywords = "SFT SRV",
}
@PhdThesis{TempleLang:1997:MTE,
author = "Duncan Walter {Temple Lang}",
title = "A Multi Threaded Extension to a High Level Interactive
Statistical Computing Environment",
type = "{Ph.D.} dissertation",
school = "University of California, Berkeley",
address = "Berkeley, CA, USA",
pages = "vii + 161",
year = "1997",
bibdate = "Thu Aug 13 11:15:09 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.proquest.com/docview/304343859/",
acknowledgement = ack-nhfb,
keywords = "S language",
}
@Book{Venables:1997:MAS,
author = "W. N. (William N.) Venables and Brian D. Ripley",
title = "Modern applied statistics with {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xv + 548",
year = "1997",
ISBN = "0-387-98214-0",
ISBN-13 = "978-0-387-98214-4",
LCCN = "QA276.4 .V46 1997",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.stats.ox.ac.uk/pub/MASS2/",
acknowledgement = ack-nhfb,
annote = "The book's home page at the URL in this entry also
discusses how to use the book with the R language.",
keywords = "Mathematical statistics -- Data processing.; S-Plus;
Statistics -- Data processing",
}
@Book{Anonymous:1998:S,
author = "Anonymous",
title = "{S-PLUS 4.5}",
publisher = pub-DUXBURY-PRESS,
address = pub-DUXBURY-PRESS:adr,
edition = "Student",
pages = "440",
year = "1998",
ISBN = "0-534-35873-X",
ISBN-13 = "978-0-534-35873-0",
LCCN = "????",
bibdate = "Fri May 21 10:32:51 MDT 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Includes CD-ROM.",
acknowledgement = ack-nhfb,
annote = "``MathSoft'' System requirements: 486 IBM compatible
PC; 40MB or 108MB (full installation); Windows 95,
Windows NT, or Windows 3.1x; graphics cards.",
keywords = "Mathematical statistics -- Computer programs.",
}
@Article{Argyle:1998:BRBb,
author = "Jennifer Argyle",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-PLUS}}, by W. N. Venables; B. D. Ripley}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "47",
number = "4",
pages = "730--730",
month = "????",
year = "1998",
CODEN = "????",
DOI = "https://doi.org/10.2307/2988400",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i350003;
https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2988400",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Book{Chambers:1998:PDG,
author = "John M. Chambers",
title = "Programming with Data: a Guide to the {S} Language",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 469",
year = "1998",
ISBN = "0-387-91577-X",
ISBN-13 = "978-0-387-91577-7",
LCCN = "QA76.73.S15C483 1998",
bibdate = "Tue Jan 12 11:17:07 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
tableofcontents = "Highlights \\
Concepts \\
Quick Reference \\
Computations in S \\
Objects, Databases, and Chapters \\
Creating Functions \\
Creating Classes \\
Creating Methods \\
Documentation \\
Connections \\
Interfaces to C and Fortran \\
Programming in C with S objects \\
Compatibility with Older Versions",
}
@Article{Dalgaard:1998:BRSb,
author = "Peter Dalgaard",
title = "Book Review: {{\booktitle{Statistical Tools for
Nonlinear Regression. A Practical Guide with S-Plus
examples}}. Sylvie Huet, Annie Bouvier, Marie-Anne
Gruet and Emmanuel Jolivet, Springer-Verlag, New York,
1996. No. of pages: ix + 154. Price: \pounds 28. ISBN
0-387-94727-2}",
journal = j-STAT-MED,
volume = "17",
number = "23",
pages = "2807--2807",
day = "15",
month = dec,
year = "1998",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/%28SICI%291097-0258%2819981215%2917%3A23%3C2807%3A%3AAID-SIM4%3E3.0.CO%3B2-Y",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:45:44 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed1990.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "08 January 1999",
}
@Article{Denison:1998:BRB,
author = "David G. T. Denison",
title = "Book Review: {{\booktitle{Applied Smoothing Techniques
for Data Analysis --- The Kernel Approach with S-Plus
Illustrations}}, by A. W. Bowman; A. Azzalini}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "47",
number = "3",
pages = "539--540",
month = "????",
year = "1998",
CODEN = "????",
DOI = "https://doi.org/10.2307/2988634",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i350002;
https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2988634",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Gentleman:1998:PCRb,
author = "Robert Gentleman",
title = "Personal Crunching: Review of {S-PLUS 4.5}",
journal = j-CHANCE,
volume = "11",
number = "4",
pages = "42--45",
year = "1998",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.1998.10542124",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Tue Feb 3 09:42:05 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance: a magazine for people interested in the
analysis of data",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
}
@Article{Hansen:1998:BRB,
author = "Mark Hansen",
title = "Book Review: {{\booktitle{Applied Wavelet Analysis
with S-PLUS}} by Andrew Bruce; Hong-Ye Gao}",
journal = j-TECHNOMETRICS,
volume = "40",
number = "2",
pages = "159--159",
month = may,
year = "1998",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1270657",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:24 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254373;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
URL = "http://www.jstor.org/stable/1270657",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@TechReport{Ihaka:1998:RPF,
author = "Ross Ihaka",
title = "{R}: Past and Future History",
institution = "????",
year = "1998",
bibdate = "Thu Aug 13 09:25:04 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Draft for 1998 Interface Symposium on Computer Science
and Statistics",
URL = "https://cran.r-project.org/doc/html/interface98-paper/paper.html",
abstract = "R began as an experiment in trying to use the methods
of Lisp implementors to build a small testbed which
could be used to trial some ideas on how a statistical
environment might be built. Early on, the decision was
made to use an S-like syntax. Once that decision was
made, the move toward being more and more like S has
been irresistible.\par
R has now outgrown its origins and its development is
now a collaborative effort undertaken using the
Internet to exchange ideas and distribute the results.
The focus is now on how the initial experiment can be
turned into a viable piece of free software.\par
This paper reviews the past and present status of R and
takes a brief look at where future development might
lead.",
acknowledgement = ack-nhfb,
}
@Book{Kaluzny:1998:SUM,
author = "Stephen P. Kaluzny and Silvia C. Vega and Tamre P.
Cardoso and Alice A. Shelly",
title = "{S+SpatialStats}: User's manual for {Windows} and
{UNIX}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 327",
year = "1998",
ISBN = "0-387-98226-4",
ISBN-13 = "978-0-387-98226-7",
LCCN = "QA278.2 .S18 1998",
bibdate = "Tue Aug 05 15:35:10 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Machado:1998:BRBb,
author = "Orlando Machado",
title = "Book Review: {{\booktitle{The Basics of S and
S-PLUS}}, by A. Krause; M. Olson}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "47",
number = "3",
pages = "550--551",
month = "????",
year = "1998",
CODEN = "????",
DOI = "https://doi.org/10.2307/2988648",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i350002;
https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2988648",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Book{Mathsoft:1998:GSS,
author = "{Mathsoft, Inc}",
title = "Getting started with {S-Plus 4.5}",
publisher = "Data Analysis Products Division, MathSoft, Inc.",
address = "Seattle, WA, USA",
pages = "48",
month = apr,
year = "1998",
bibdate = "Fri May 21 10:32:51 MDT 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
alttitle = "S-Plus 4: Discover the power of S.",
keywords = "Mathematical statistics -- Computer programs",
}
@Book{Millard:1998:EPU,
author = "Steven P. Millard",
title = "{EnvironmentalStats} for {S-PLUS}: user's manual for
{Windows} and {UNIX}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xii + 381",
year = "1998",
ISBN = "0-387-98486-0",
ISBN-13 = "978-0-387-98486-5",
LCCN = "GE45.S73 M55 1998",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "Environmental sciences -- Statistical methods -- Data
processing; S-Plus",
}
@Book{Selvin:1998:MAB,
author = "Steve Selvin",
title = "Modern applied biostatistical methods using {S-Plus}",
volume = "28",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xiv + 461",
year = "1998",
ISBN = "0-19-512025-6",
ISBN-13 = "978-0-19-512025-7",
LCCN = "QH323.5 .S448 1998",
bibdate = "Tue Sep 22 08:25:09 MDT 1998",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Monographs in epidemiology and biostatistics",
acknowledgement = ack-nhfb,
keywords = "Biology -- Data processing; Biometry; Biometry --
methods; Programming Languages; S (Computer program
language); S-Plus (Computer file); S-Plus.",
}
@Manual{StatSci:1998:SGS,
title = "{SPlus-5} Guide to Statistics",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "xxii + 1014",
year = "1998",
bibdate = "Tue Jan 12 11:12:20 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Order number R620291.",
acknowledgement = ack-nhfb,
}
@Manual{StatSci:1998:SUG,
title = "{SPlus-5} User's Guide",
organization = pub-STATSCI,
address = pub-STATSCI:adr,
pages = "xvi + 336",
year = "1998",
bibdate = "Tue Jan 12 11:12:20 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Order number R620293.",
acknowledgement = ack-nhfb,
}
@Article{Wooff:1998:BRB,
author = "David Wooff",
title = "Book Review: {{\booktitle{Statistical Tools for
Nonlinear Regression: A Practical Guide with S-PLUS
Examples}}, by S. Huet; A. Bouvier; M.-A. Gruet; E.
Jolivet}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "47",
number = "3",
pages = "545--545",
month = "????",
year = "1998",
CODEN = "????",
DOI = "https://doi.org/10.2307/2988640",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i350002;
https://www.math.utah.edu/pub/tex/bib/jrss-d-1990.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2988640",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Ziegel:1998:BRBd,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{The Basics of S and S-PLUS}}
by Andreas Krause; Melvin Olson}",
journal = j-TECHNOMETRICS,
volume = "40",
number = "1",
pages = "82--83",
month = feb,
year = "1998",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1271413",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:22 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254372;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
URL = "http://www.jstor.org/stable/1271413",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:1999:NPE,
author = "Anonymous",
title = "New Products: {ENVI Version 3.1, Research Systems,
Inc.; FTLinuxCourse, Future Technologies; Alexandria
4.50, Spectra Logic Corporation; Applixware for Linux,
Applix, Inc.; c-tree Plus V6.8A, FairCom Corporation;
AFS Server and AS Client, Transarc; Hamilton,
Microstate Corporation; Cat5 Reach, Raritan Computer;
TclPro 1.1, Scriptics Corporation; Wingz Professional
3.0 for Linux, IISC; WordPerfect 8 for Linux, Corel
Computer; NUOPT for S-PLUS, MathSoft}",
journal = j-LINUX-J,
volume = "59",
pages = "??--??",
month = mar,
year = "1999",
CODEN = "LIJOFX",
ISSN = "1075-3583 (print), 1938-3827 (electronic)",
ISSN-L = "1075-3583",
bibdate = "Thu Jun 3 06:33:57 MDT 1999",
bibsource = "http://www.linuxjournal.com/issue59/index.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Linux Journal",
journal-URL = "http://portal.acm.org/citation.cfm?id=J508",
}
@Article{Chao:1999:IDA,
author = "Edward C. Chao",
title = "Interactive data analysis based on dialog systems in
{S-PLUS}",
journal = j-COMP-STAT,
volume = "14",
number = "1",
pages = "23--38",
month = mar,
year = "1999",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/PL00022703",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/PL00022703",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Cribari-Neto:1999:RYA,
author = "Francisco Cribari-Neto and Spyros G. Zarkos",
title = "{R}: yet another econometric programming environment",
journal = j-J-APPL-ECONOMETRICS,
volume = "14",
number = "3",
pages = "319--329",
month = may # "--" # jun,
year = "1999",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/%28SICI%291099-1255%28199905/06%2914%3A3%3C319%3A%3AAID-JAE533%3E3.0.CO%3B2-Q",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:19:57 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "08 June 1999",
}
@Article{DDJStaff:1999:NVJ,
author = "{The DDJ Staff}",
title = "News and Views: Just Say No to Carpal Tunnel; {ACM}
Award for {S} Creator; Cruising with {Perl}; You Can't
Judge an Open {E}-Book \ldots{}; {H1-B} Visas in Short
Supply; We Interrupt You with this Message\ldots{};
Great Timing; \path=www.waitandsee.org=",
journal = j-DDJ,
volume = "24",
number = "8",
pages = "18--18",
month = aug,
year = "1999",
CODEN = "DDJOEB",
ISSN = "1044-789X",
bibdate = "Fri Jul 16 19:10:34 MDT 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "John Chambers was awarded the ACM Software System
Award for creating the S System for statistical
computing.",
URL = "http://www.ddj.com/",
acknowledgement = ack-nhfb,
fjournal = "Dr. Dobb's Journal of Software Tools",
}
@PhdThesis{Deegan:1999:ISM,
author = "Leo Joseph Deegan",
title = "Improper survival models",
type = "Thesis ({Ph.D. in Biostatistics})",
school = "University of California, Berkeley",
address = "Berkeley, CA, USA",
pages = "vii + 114",
year = "1999",
LCCN = "RA3.6 .D28",
bibdate = "Tue Feb 20 11:55:12 MST 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Includes S-PLUS code: isurvreg, Improper Survival
Regression.",
keywords = "dissertations, academic --- UCB --- public health ---
1991--2000; University of California, Berkeley. Group
in Biostatistics --- dissertations",
}
@Article{Kafadar:1999:BRB,
author = "Karen Kafadar and James R. Koehler",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-Plus}}}, 2nd edition",
journal = j-AMER-STAT,
volume = "53",
number = "1",
pages = "86--??",
month = feb,
year = "1999",
CODEN = "ASTAAJ",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Mon Jun 07 09:45:40 1999",
bibsource = "http://www.amstat.org/publications/tas/toc_99.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Review of \cite{Venables:1997:MAS}.",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Book{StatSci:1999:MSP,
author = "{StatSci}",
title = "{Math Soft S-PLUS 4.5}",
publisher = pub-STATSCI,
address = pub-STATSCI:adr,
edition = "4.5 (student edition)",
year = "1999",
ISBN = "0-534-35873-X",
ISBN-13 = "978-0-534-35873-0",
bibdate = "Tue Feb 20 12:09:17 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Includes CD-ROM.",
acknowledgement = ack-nhfb,
}
@Book{Venables:1999:MAS,
author = "W. N. (William N.) Venables and Brian D. Ripley",
title = "Modern applied statistics with {S-PLUS}: Volume 1:
Data Analysis",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Third",
pages = "xi + 501",
year = "1999",
ISBN = "0-387-98825-4 (hardback)",
ISBN-13 = "978-0-387-98825-2 (hardback)",
LCCN = "QA276.4.V46 1999",
bibdate = "Tue Feb 20 11:53:02 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "From the Web site: ``The book is also useful with R, a
freely-available open-source statistical system `not
unlike S'. We have tried where possible to use code
that works in all versions of S-PLUS and in R.''.",
series = "Statistics and computing",
URL = "http://www.stats.ox.ac.uk/pub/MASS3/",
acknowledgement = ack-nhfb,
keywords = "Mathematical statistics --- Data processing; S-Plus;
Statistics --- Data processing",
}
@Article{Wolfe:1999:DMP,
author = "Michael A. Wolfe",
title = "On Discrete Minimax Problems in {R} Using Interval
Arithmetic",
journal = j-RELIABLE-COMPUTING,
volume = "5",
number = "4",
pages = "371--383",
month = nov,
year = "1999",
CODEN = "RCOMF8",
DOI = "https://doi.org/10.1023/A:1009930013647",
ISSN = "1385-3139 (print), 1573-1340 (electronic)",
ISSN-L = "1385-3139",
bibdate = "Sat Jan 5 16:01:06 MST 2013",
bibsource = "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=1385-3139&volume=5&issue=4;
https://www.math.utah.edu/pub/tex/bib/reliablecomputing.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1023/A%3A1009930013647/;
http://www.springerlink.com/openurl.asp?genre=article&issn=1385-3139&volume=5&issue=4&spage=371;
http://www.springerlink.com/openurl.asp?genre=article&issn=1385-3139&volume=5&issue=4&spage=371-383",
acknowledgement = ack-nhfb # "\slash " # ack-rbk # "\slash " # ack-vk,
fjournal = "Reliable Computing = Nadezhnye vychisleniia",
journal-URL = "http://link.springer.com/journal/11155",
}
@Article{Ziegel:1999:BRBr,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{Environmental Stats for
S-Plus}} by Steven P. Millard}",
journal = j-TECHNOMETRICS,
volume = "41",
number = "2",
pages = "179--179",
month = may,
year = "1999",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1270752",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:30 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254377;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics1990.bib",
URL = "http://www.jstor.org/stable/1270752",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Bureau:2000:PIH,
author = "Alexandre Bureau and James P. Hughes and Stephen C.
Shiboski",
title = "An {S-Plus} Implementation of Hidden {Markov} Models
in Continuous Time",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "9",
number = "4",
pages = "621--??",
month = dec,
year = "2000",
CODEN = "",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Wed Apr 18 10:23:03 MDT 2001",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.amstat.org/publications/jcgs/abstracts00/Bureau.htm",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
}
@Article{Gentleman:2000:LSS,
author = "Robert Gentleman and Ross Ihaka",
title = "Lexical Scope and Statistical Computing",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "9",
number = "3",
pages = "491--508",
month = sep,
year = "2000",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2000.10474895",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Thu Aug 13 10:27:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/prng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.amstat.org/publications/jcgs/abstracts00/Ihaka.htm;
http://www.tandfonline.com/doi/abs/10.1080/10618600.2000.10474895",
abstract = "Programming environments such as S and Lisp-Stat have
languages for performing computations, data storage
mechanisms, and a graphical interface. These languages
provide an interactive interface to data analysis that
is invaluable. To take full advantage of these
programming environments, statisticians must understand
the differences between them. Ihaka and Gentleman
introduced R, a version of S which uses a different
scoping regimen. In some ways this makes R behave more
like Lisp-Stat. This article discusses the concept of
scoping rules and shows how lexical scope can enhance
the functionality of a language.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.amstat.org/publications/jcgs/;
http://www.tandfonline.com/loi/ucgs20",
keywords = "function closure; random number generators",
onlinedate = "21 Feb 2012",
}
@Article{Kautz:2000:LLI,
author = "Frederick Kautz and Dimitrios Souflis and Robert
Carbonari and DDJ and Al Gettier and Tina Femia and
Andrew D. Todd and Anonymous and Alan Horn and
Anonymous and Brad Clawsie and Samuel Pearlman",
title = "Letters: The {S} Language; {IP} Security; {Pnuts}
Pointer; Flyby; Worker Shortage?; Design by Interface",
journal = j-DDJ,
volume = "25",
number = "4",
pages = "10, 12",
month = apr,
year = "2000",
CODEN = "DDJOEB",
ISSN = "1044-789X",
bibdate = "Thu Nov 9 08:25:14 MST 2000",
bibsource = "http://www.ddj.com/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Stevens:2000:CPP}.",
acknowledgement = ack-nhfb,
fjournal = "Dr. Dobb's Journal of Software Tools",
}
@Book{Krause:2000:BP,
author = "Andreas Krause and Melvin Olson",
title = "The basics of {S} and {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xxii + 382",
year = "2000",
ISBN = "0-387-98961-7",
ISBN-13 = "978-0-387-98961-7",
LCCN = "QA276.4 .K73 2000",
bibdate = "Tue Feb 20 11:55:12 MST 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
keywords = "mathematical statistics --- data processing; S-PLUS",
}
@Book{Millard:2000:EPU,
author = "Steven P. Millard",
title = "{EnvironmentalStats} for {S-Plus}: User's Manual for
{Windows} and {UNIX}, Versions 1.0 \& 1.1",
publisher = "Probability, Statistics \& Information",
address = "Seattle, WA, USA",
pages = "x + 381",
month = mar,
year = "2000",
LCCN = "????",
bibdate = "Fri Sep 13 13:00:34 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
xxISBN = "none",
}
@Book{Pinheiro:2000:MEM,
author = "Jose C. Pinheiro and Douglas M. Bates",
title = "Mixed-effects models in {S} and {S-PLUS}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 528",
year = "2000",
ISBN = "0-387-98957-9",
ISBN-13 = "978-0-387-98957-0",
LCCN = "QA76.73.S15 P56 2000",
bibdate = "Thu Apr 12 10:53:17 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
price = "US\$69.95",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
}
@MastersThesis{Rohrl:2000:PPS,
author = "Armin R{\"o}hrl",
title = "Parallel processing in statistical computation: {BSP},
{FPGas} and {MPI} for the {S}-language",
type = "Th{\`e}se sciences",
school = "EPF Lausanne",
address = "Lausanne, Switzerland",
pages = "137",
year = "2000",
bibdate = "Wed Aug 27 07:24:45 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Rossini:2000:BRA,
author = "A. J. Rossini",
title = "Book Review: {{\booktitle{Applied Smoothing Techniques
for Data Analysis: The Kernel Approach with S-Plus
Illustrations}} by Adrian W. Bowman and Adelchi
Azzalini}",
journal = j-COMP-STAT,
volume = "15",
number = "2",
pages = "301--302",
month = jul,
year = "2000",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s001800000033",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s001800000033",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Stevens:2000:CPP,
author = "Al Stevens",
title = "{C} Programming: The {S} Programming Language",
journal = j-DDJ,
volume = "25",
number = "2",
pages = "110--113",
month = feb,
year = "2000",
CODEN = "DDJOEB",
ISSN = "1044-789X",
bibdate = "Thu Nov 9 08:25:13 MST 2000",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See comment on another {S} language
\cite{Kautz:2000:LLI}.",
URL = "http://www.ddj.com/ftp/2000/2000_02/cprog220.txt",
abstract = "Al resurrects S, a homebrew C variant he implemented a
decade ago -- back before the days of JavaScript and
VB. His updated version is written in C++, and includes
a shell program that tests the interpreter by loading
and executing text source-code files written in the S
language. Additional resources include cprog220.txt
(listings).",
acknowledgement = ack-nhfb,
fjournal = "Dr. Dobb's Journal of Software Tools",
xxnote = "This is NOT the statistics programming language that
predated S-Plus; I wrote to the author and pointed out
the name conflict.",
}
@Book{Venables:2000:MAS,
author = "W. N. (William N.) Venables and Brian D. Ripley",
title = "Modern applied statistics with {S-PLUS}: Volume 2: {S}
Programming",
publisher = pub-SV,
address = pub-SV:adr,
pages = "x + 264",
year = "2000",
ISBN = "0-387-98966-8",
ISBN-13 = "978-0-387-98966-2",
LCCN = "QA76.73.S15 V46 2000",
bibdate = "Thu Apr 19 06:26:28 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Statistics and computing",
URL = "http://www.stats.ox.ac.uk/pub/MASS3/",
acknowledgement = ack-nhfb,
annote = "This is the first entry in the TUG bibliography
archive for the year 2000.",
keywords = "Mathematical statistics --- Data processing; S-Plus;
Statistics --- Data processing",
}
@Book{Venables:2000:P,
author = "W. N. (William N.) Venables and Brian D. Ripley",
title = "{S} programming",
publisher = pub-SV,
address = pub-SV:adr,
pages = "x + 264",
year = "2000",
ISBN = "0-387-98966-8",
ISBN-13 = "978-0-387-98966-2",
LCCN = "QA76.73.S15 V46 2000",
bibdate = "Tue Jan 27 06:50:41 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics and computing",
URL = "http://www.loc.gov/catdir/enhancements/fy0816/99057466-d.html;
http://www.loc.gov/catdir/enhancements/fy0816/99057466-t.html",
acknowledgement = ack-nhfb,
subject = "S (Computer program language)",
tableofcontents = "Introduction \\
The S Language: Syntax and Semantics \\
The S Language: Advanced Aspects \\
Classes \\
New-style Classes \\
Using Compiled Code \\
General Strategies and Extended Examples \\
S Software Development \\
Interfaces Under Windows",
}
@Article{Ziegel:2000:BRBi,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{Modern Applied
Biostatistical Methods Using S-Plus}} by Steve
Selvin}",
journal = j-TECHNOMETRICS,
volume = "42",
number = "2",
pages = "221--221",
month = may,
year = "2000",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1271484",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:35 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254381;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1271484",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Everitt:2001:AMD,
author = "Brian Everitt and Sophia Rabe-Hesketh",
title = "Analyzing medical data using {S-PLUS}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "????",
year = "2001",
ISBN = "0-387-98862-9",
ISBN-13 = "978-0-387-98862-7",
LCCN = "RA409.5 E94 2001",
bibdate = "Tue Feb 20 12:12:53 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Statistics for biology and health",
acknowledgement = ack-nhfb,
}
@Book{Harrell:2001:RMS,
author = "Frank E. {Harrell, Jr.}",
title = "Regression Modeling Strategies: With Applications to
Linear Models, Logistic Regression, and Survival
Analysis",
volume = "??",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiii + 571",
year = "2001",
CODEN = "????",
DOI = "https://doi.org/10.1007/978-1-4757-3462-1",
ISBN = "1-4419-2918-5, 1-4757-3462-X (e-book)",
ISBN-13 = "978-1-4419-2918-1, 978-1-4757-3462-1 (e-book)",
ISSN = "0172-7397",
ISSN-L = "0172-7397",
LCCN = "QA276-280",
bibdate = "Thu Jun 19 06:41:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer Series in Statistics",
URL = "http://link.springer.com/book/10.1007/978-1-4757-3462-1",
abstract = "Many texts are excellent sources of knowledge about
individual statistical tools, but the art of data
analysis is about choosing and using multiple tools.
Instead of presenting isolated techniques, this text
emphasizes problem solving strategies that address the
many issues arising when developing multivariable
models using real data and not standard textbook
examples. It includes imputation methods for dealing
with missing data effectively, methods for dealing with
nonlinear relationships and for making the estimation
of transformations a formal part of the modeling
process, methods for dealing with ``too many variables
to analyze and not enough observations,'' and powerful
model validation techniques based on the bootstrap.
This text realistically deals with model uncertainty
and its effects on inference to achieve ``safe data
mining.''.",
acknowledgement = ack-nhfb,
remark = "Most volumes in this series are unnumbered.",
series-URL = "http://link.springer.com/bookseries/692",
subject = "Statistics; Mathematical statistics",
tableofcontents = "General Aspects of Fitting Regression Models \\
Missing Data \\
Multivariable Modeling Strategies \\
Resampling, Validating, Describing, and Simplifying the
Model \\
S-PLUS Software \\
Case Study in Least Squares Fitting and Interpretation
of a Linear Model \\
Case Study in Imputation and Data Reduction \\
Overview of Maximum Likelihood Estimation \\
Binary Logistic Regression \\
Logistic Model Case Study 1: Predicting Cause of Death
\\
Logistic Model Case Study 2: Survival of Titanic
Passengers \\
Ordinal Logistic Regression \\
Case Study in Ordinal Regression, Data Reduction, and
Penalization \\
Models Using Nonparametic Transformations of X and Y
\\
Introduction to Survival Analysis \\
Parametric Survival Models \\
Case Study in Parametric Survival Modeling and Model
Approximation \\
Cox Proportional Hazards Regression Model \\
Case Study in Cox Regression",
}
@Book{Krause:2001:ASP,
editor = "Andreas Krause and Steven P. Millard",
title = "Applied statistics in the pharmaceutical industry:
with case studies using {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xviii + 513",
year = "2001",
ISBN = "0-387-98814-9",
ISBN-13 = "978-0-387-98814-6",
LCCN = "S122 .A665 2001",
bibdate = "Thu Apr 19 06:08:25 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "Drugs --- Research --- Statistical methods",
}
@Article{Lumley:2001:BRB,
author = "Thomas Lumley",
title = "Book Review: {{\booktitle{Environmental Statistics
with S-PLUS}} by Steven P. Millard; Nagaraj K.
Neerchal}",
journal = j-TECHNOMETRICS,
volume = "43",
number = "4",
pages = "495--495",
month = nov,
year = "2001",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1270836",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:44 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254387;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1270836",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Millard:2001:ESP,
author = "Steven P. Millard and Nagaraj K. Neerchal",
title = "Environmental statistics with {S-Plus}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "830",
year = "2001",
ISBN = "0-8493-7168-6",
ISBN-13 = "978-0-8493-7168-4",
LCCN = "GE45.S73 M55 2001",
bibdate = "Tue Feb 20 11:55:12 MST 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Applied environmental statistics",
acknowledgement = ack-nhfb,
keywords = "environmental sciences -- statistical methods -- data
processing; S-PLUS",
tableofcontents = "1 Introduction / 1 \\
2 Designing a Sampling Program, Part I / 13 \\
3 Looking at Data / 53 \\
4 Probability Distributions / 139 \\
5 Estimating Distribution Parameters and Quantiles /
201 \\
6 Prediction Intervals, Tolerance Intervals, and
Control Charts / 295 \\
7 Hypothesis Tests / 365 \\
8 Designing a Sampling Program, Part II / 471 \\
9 Linear Models / 527 \\
10 Censored Data / 593 \\
11 Time Series Analysis / 647 \\
12 Spatial Statistics / 693 \\
13 Monte Carlo Simulation and Risk Assessment / 735 \\
References / 779 \\
Index / 817",
}
@Article{Plummer:2001:BRP,
author = "Martyn Plummer",
title = "Book Review: {{\booktitle{Programming with Data: a
Guide to the S Language}}. John M. Chambers, Springer,
Godalming, U.K., 1998. No. of pages:xv + 469. Price:
\pounds 32.50. ISBN 0-387-98503-4.}",
journal = j-STAT-MED,
volume = "20",
number = "6",
pages = "985--986",
day = "30",
month = mar,
year = "2001",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.765",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:03 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "05 March 2001",
}
@Book{Schumacker:2001:USC,
author = "Randall E. Schumacker and Allen Akers",
title = "Understanding statistical concepts using {S-plus}",
publisher = "Lawrence Erlbaum Associates",
address = "Mahwah, NJ, USA",
pages = "xiii + 357",
year = "2001",
ISBN = "0-8058-3623-3",
ISBN-13 = "978-0-8058-3623-3",
LCCN = "QA276.4 .S366 2001",
bibdate = "Fri Sep 13 15:26:38 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "Mathematical statistics --- Data processing; S-Plus",
}
@Article{Wood:2001:BRB,
author = "Simon Wood",
title = "Book Review: {{\booktitle{Mixed-Effects Models in S
and S-Plus}}, by J. C. Pinheiro; D. M. Bates}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "50",
number = "3",
pages = "351--352",
month = "????",
year = "2001",
CODEN = "????",
DOI = "https://doi.org/10.2307/2680951",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i326263;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/2680951",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Ziegel:2001:BRBac,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{The Basics of S and S-PLUS}}
by Andreas Krause; Melvin Olson}",
journal = j-TECHNOMETRICS,
volume = "43",
number = "2",
pages = "249--249",
month = may,
year = "2001",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1271073",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:41 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254385;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1271073",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ziegel:2001:BRBad,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-PLUS}} by W. N. Venables; B. D. Ripley}",
journal = j-TECHNOMETRICS,
volume = "43",
number = "2",
pages = "249--249",
month = may,
year = "2001",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1271074",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:41 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254385;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1271074",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ziegel:2001:BRBe,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{Mixed-Effects Models in S
and S-PLUS}} by Jos{\'e} C. Pinheiro; Douglas M.
Bates}",
journal = j-TECHNOMETRICS,
volume = "43",
number = "1",
pages = "113--113",
month = feb,
year = "2001",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1270889",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:40 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254384;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1270889",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Barber:2002:BRBb,
author = "Stuart Barber",
title = "Book Review: {{\booktitle{The Basics of S and
S-PLUS}}, by A. Krause; M. Olson}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "51",
number = "2",
pages = "296--297",
month = "????",
year = "2002",
CODEN = "????",
DOI = "https://doi.org/10.2307/3650339",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:24 MST 2015",
bibsource = "http://www.jstor.org/stable/i370070;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/3650339",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Book{Crawley:2002:SCI,
author = "Michael J. Crawley",
title = "Statistical computing: an introduction to data
analysis using {S-Plus}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "ix + 761",
year = "2002",
ISBN = "0-471-56040-5",
ISBN-13 = "978-0-471-56040-1",
LCCN = "QA276.4 .C73 2002",
bibdate = "Fri Sep 13 13:03:56 MDT 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "statistics -- data processing",
}
@Book{Dalgaard:2002:ISR,
author = "Peter Dalgaard",
title = "Introductory Statistics with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 267",
year = "2002",
ISBN = "0-387-95475-9",
ISBN-13 = "978-0-387-95475-2",
LCCN = "QA276.4 .D33 2002",
bibdate = "Mon Dec 08 11:29:26 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
remark = "Second edition \cite{Dalgaard:2008:ISR}.",
}
@Book{Everitt:2002:HSA,
author = "Brian S. Everitt",
title = "A Handbook of Statistical Analyses using {S-PLUS}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
edition = "Second",
pages = "xiii + 240",
year = "2002",
ISBN = "1-58488-280-8",
ISBN-13 = "978-1-58488-280-0",
LCCN = "QA276.4.E93 1994",
bibdate = "Thu Jan 08 08:13:27 2004",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Fernandez:2002:BRB,
author = "Carmen Fern{\'a}ndez",
title = "Book Review: {{\booktitle{Modern Applied Statistics
with S-PLUS}}, by W. N. Venables; B. D. Ripley}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "51",
number = "2",
pages = "302--303",
month = "????",
year = "2002",
CODEN = "????",
DOI = "https://doi.org/10.2307/3650346",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:24 MST 2015",
bibsource = "http://www.jstor.org/stable/i370070;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/3650346",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Book{Fox:2002:RPC,
author = "John Fox",
title = "An {R} and {S-Plus} companion to applied regression",
publisher = "Sage Publications",
address = "Thousand Oaks, CA, USA",
pages = "xvi + 312",
year = "2002",
ISBN = "0-7619-2279-2, 0-7619-2280-6 (paperback)",
ISBN-13 = "978-0-7619-2279-7, 978-0-7619-2280-3 (paperback)",
LCCN = "QA278.2 .F628 2002",
bibdate = "Fri Sep 13 13:03:56 MDT 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "R (computer programming language); regression analysis
-- data processing; S-Plus",
}
@Article{Lawson:2002:BRB,
author = "Andrew Lawson",
title = "Book Review: {{\booktitle{Environmental Statistics
with S-Plus}}, by S. P. Millard; N. K. Neerchal}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "51",
number = "3",
pages = "425--426",
month = "????",
year = "2002",
CODEN = "????",
DOI = "https://doi.org/10.2307/3650306",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i370071;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/3650306",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Leisch:2002:SPM,
author = "Friedrich Leisch",
title = "{Sweave}, {Part I}: Mixing {R} and {\LaTeX}",
journal = "R News",
volume = "2",
number = "3",
pages = "28--31",
month = dec,
year = "2002",
bibdate = "Sat Jul 05 19:24:59 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.statistik.lmu.de/~leisch/Sweave/Sweave-Rnews-2002-3.pdf",
acknowledgement = ack-nhfb,
}
@Article{Lund:2002:BRBa,
author = "Ulric J. Lund",
title = "Book Review: {{\booktitle{Understanding Statistical
Concepts Using S-Plus}}}",
journal = j-AMER-STAT,
volume = "56",
number = "3",
pages = "249--??",
month = aug,
year = "2002",
CODEN = "ASTAAJ",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Jan 8 07:06:51 MST 2004",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Review of \cite{Schumacker:2001:USC}.",
URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v56n3/s18/p249",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Book{Millard:2002:EPU,
author = "Steven P. Millard",
title = "{EnvironmentalStats} for {S-PLUS}: user's manual for
version 2.0",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xiii + 264",
year = "2002",
ISBN = "0-387-95398-1",
ISBN-13 = "978-0-387-95398-4",
LCCN = "GE45.S73 M52 2002",
bibdate = "Fri Sep 13 13:03:56 MDT 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "environmental sciences -- statistical methods -- data
processing; S-Plus",
}
@Article{Petersen:2002:BRE,
author = "J{\o}rgen Holm Petersen",
title = "Book Review: {{\booktitle{Environmental Statistics
with S-Plus}}. Steven P. Millard and Nagaraj K.
Neerchal. CRC Press LLC, London, 2001. No. of pages:
830. Price: \$79.95. ISBN 0-8493-7168-6}",
journal = j-STAT-MED,
volume = "21",
number = "17",
pages = "2607--2608",
day = "15",
month = sep,
year = "2002",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.1232",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:16 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
note = "See letter \cite{Millard:2003:LEB}.",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "09 August 2002",
remark = "The reviewed book inside cover lists the ISBN as
0-0893-7168-6, but that has an invalid checksum. The
back cover list the correct ISBN as 0-8493-7168-6 above
the barcode. I corrected the review title value
accordingly.",
xxtitle = "Book Review: {{\booktitle{Environmental Statistics
with S-Plus}}. Steven P. Millard and Nagaraj K.
Neerchal. CRC Press LLC, London, 2001. No. of pages:
830. Price: \$79.95. ISBN 0-08-937168-6}",
}
@Article{Racine:2002:URT,
author = "Jeff Racine and Rob Hyndman",
title = "Using {R} to teach econometrics",
journal = j-J-APPL-ECONOMETRICS,
volume = "17",
number = "2",
pages = "175--189",
month = mar # "--" # apr,
year = "2002",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.657",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:04 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "18 April 2002",
}
@Book{Venables:2002:IRN,
author = "W. N. (William N.) Venables and D. M. (David M.)
Smith",
title = "An introduction to {R}: notes on {R}: a programming
environment for data analysis and graphics, version
1.4.1",
publisher = pub-NETWORK-THEORY,
address = pub-NETWORK-THEORY:adr,
pages = "vi + 139",
year = "2002",
ISBN = "0-9541617-4-2",
ISBN-13 = "978-0-9541617-4-3",
LCCN = "QA276.4 .V45 2001",
bibdate = "Mon Jul 4 15:50:14 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; R (Computer program
language)",
}
@Book{Venables:2002:MAS,
author = "W. N. (William N.) Venables and Brian D. Ripley",
title = "Modern Applied Statistics with {S}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Fourth",
pages = "xi + 495",
year = "2002",
ISBN = "0-387-95457-0",
ISBN-13 = "978-0-387-95457-8",
LCCN = "QA276.4 .V46 2002",
bibdate = "Mon Jul 04 16:15:09 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
remark = "Previously published as \cite{Venables:1999:MAS}.",
}
@Article{Weisberg:2002:DRR,
author = "Sanford Weisberg",
title = "Dimension Reduction Regression in {R}",
journal = j-J-STAT-SOFT,
volume = "7",
number = "1",
pages = "1--22",
year = "2002",
CODEN = "JSSOBK",
ISSN = "????",
bibdate = "Sun Nov 17 22:35:43 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v07/i01;
http://www.jstatsoft.org/v07/i01/dr_1.0.tar.gz;
http://www.jstatsoft.org/v07/i01/drdoc.pdf;
http://www.jstatsoft.org/v07/i01/updates",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "R; S-Plus",
}
@Article{Yi:2002:IHO,
author = "Grace Y. Yi and Jianrong Wu and Ying Liu",
title = "Implementation of higher-order asymptotics to
{S-plus}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "40",
number = "4",
pages = "775--800",
day = "28",
month = oct,
year = "2002",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:41:09 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947302000968",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Zeileis:2002:SRP,
author = "Achim Zeileis and Friedrich Leisch and Kurt Hornik and
Christian Kleiber",
title = "{strucchange}: an {R} package for Testing for
Structural Change in Linear Regression Models",
journal = j-J-STAT-SOFT,
volume = "7",
number = "2",
pages = "1--38",
year = "2002",
CODEN = "JSSOBK",
ISSN = "????",
bibdate = "Sun Nov 17 22:35:43 2002",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v07/i02;
http://www.jstatsoft.org/v07/i02/strucchange.pdf;
http://www.jstatsoft.org/v07/i02/strucchange_0.9-5.tar.gz;
http://www.jstatsoft.org/v07/i02/updates",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "R; S-Plus",
}
@Article{Ziegel:2002:BRBag,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using S-PLUS}} by Brian S. Everitt}",
journal = j-TECHNOMETRICS,
volume = "44",
number = "3",
pages = "300--300",
month = aug,
year = "2002",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1270517",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:50 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254390;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1270517",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ziegel:2002:BRBx,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{Analyzing Medical Data Using
S-PLUS}} by B. S. Everitt; Sophia Rabe-Hesketh}",
journal = j-TECHNOMETRICS,
volume = "44",
number = "2",
pages = "201--202",
month = may,
year = "2002",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/1271291",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:48 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i254389;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/1271291",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2003:BRBam,
author = "Anonymous",
title = "Book Review: {{\booktitle{Modeling Financial Time
Series with S-PLUS{\reg}}} by Eric Zivot; Jiahui
Wang}",
journal = j-TECHNOMETRICS,
volume = "45",
number = "4",
pages = "373--374",
month = nov,
year = "2003",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25047114",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:57 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25047080;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25047114",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2003:BRBu,
author = "Anonymous",
title = "Book Review: {{\booktitle{The Basics of S-PLUS}} by
Andreas Krause; Melvin Olson}",
journal = j-TECHNOMETRICS,
volume = "45",
number = "2",
pages = "183--183",
month = may,
year = "2003",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25047039",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:54 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25047007;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25047039",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2003:BRSa,
author = "Anonymous",
title = "Book Review: {{\booktitle{Statistical computing: an
introduction to data analysis using S-Plus}}: by
Michael J. Crawley. John Wiley \& Sons, New York.
(2002). 761 pages. \$85}",
journal = j-COMPUT-MATH-APPL,
volume = "45",
number = "10--11",
pages = "1775--1775",
month = may # "\slash " # jun,
year = "2003",
CODEN = "CMAPDK",
ISSN = "0898-1221 (print), 1873-7668 (electronic)",
ISSN-L = "0898-1221",
bibdate = "Wed Mar 1 21:49:27 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computmathappl2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0898122103801311",
acknowledgement = ack-nhfb,
fjournal = "Computers and Mathematics with Applications",
journal-URL = "http://www.sciencedirect.com/science/journal/08981221",
}
@Article{Brayshaw:2003:BRB,
author = "Nigel Brayshaw",
title = "Book Review: {{\booktitle{Applied Statistics in the
Pharmaceutical Industry, with Case Studies in S-Plus}},
by S. P. Millard; A. Krause}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "52",
number = "2",
pages = "243--244",
month = "????",
year = "2003",
CODEN = "????",
DOI = "https://doi.org/10.2307/4128260",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:22 MST 2015",
bibsource = "http://www.jstor.org/stable/i384328;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/4128260",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Contoni:2003:RNS,
author = "Eva Contoni",
title = "Resistant Nonparametric Smoothing with {S-PLUS}",
journal = j-J-STAT-SOFT,
volume = "8",
number = "3",
pages = "??--??",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "????",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i03;
http://www.jstatsoft.org/v08/i03/;
http://www.jstatsoft.org/v08/i03/updates;
http://www.jstatsoft.org/v08/i03/v8.txt",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
xxnote = "Check publication data: no longer at journal Web
site??",
}
@Article{Cowles:2003:BRB,
author = "Mary Kathryn Cowles",
title = "Book Review: {{\booktitle{An R and S-PLUS Companion to
Applied Regression}}}",
journal = j-AMER-STAT,
volume = "57",
number = "4",
pages = "316--??",
month = nov,
year = "2003",
CODEN = "ASTAAJ",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Jan 8 07:07:00 MST 2004",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Review of \cite{Fox:2002:RPC}.",
URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v57n4/s16/p316",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Dawson:2003:BRB,
author = "Jeffrey D. Dawson",
title = "Book Review: {{\booktitle{Analyzing Medical Data Using
S-PLUS}}, by Brian Everitt; Sophia Rabe-Hesketh}",
journal = j-J-AM-STAT-ASSOC,
volume = "98",
number = "463",
pages = "773--774",
month = sep,
year = "2003",
CODEN = "JSTNAL",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Wed Jan 25 08:06:27 MST 2012",
bibsource = "http://www.jstor.org/journals/01621459.html;
http://www.jstor.org/stable/i30045274;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/30045317",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Eastwood:2003:BRB,
author = "Brian J. Eastwood",
title = "Book Review: {{\booktitle{Applied Statistics in the
Pharmaceutical Industry with Case Studies Using
S-PLUS}}, by Steven P. Millard; Andreas Krause}",
journal = j-J-AM-STAT-ASSOC,
volume = "98",
number = "461",
pages = "250--250",
month = mar,
year = "2003",
CODEN = "JSTNAL",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Tue Dec 16 18:18:46 MST 2003",
bibsource = "http://www.amstat.org/publications/jasa/;
http://www.jstor.org/journals/01621459.html;
http://www.jstor.org/stable/i30045186;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/30045215",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Firth:2003:CFP,
author = "David Firth",
title = "{CGIwithR}: Facilities for processing {Web} forms
using {R}",
journal = j-J-STAT-SOFT,
volume = "8",
number = "10",
pages = "1--8",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i10;
http://www.jstatsoft.org/v08/i10/CGIwithR-overview.pdf",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Fox:2003:EDR,
author = "John Fox",
title = "Effect Displays in {R} for Generalised Linear Models",
journal = j-J-STAT-SOFT,
volume = "8",
number = "15",
pages = "1--27",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i15;
http://www.jstatsoft.org/v08/i15/effect-displays-revised.pdf",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Harbo:2003:BRA,
author = "Ingrid Sofie Harbo",
title = "Book Review: {{\booktitle{Applied statistics in the
pharmaceutical industry: With case studies using
S-Plus}}. Steven P. Millard and Andreas Krause (eds),
Springer Verlag, Heidelberg, Germany, 2001. No. of
pages: xviii + 513. Price: \pounds 62.50. ISBN
0-387-98814-9}",
journal = j-STAT-MED,
volume = "22",
number = "17",
pages = "2819--2820",
day = "15",
month = sep,
year = "2003",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.1495",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "19 August 2003",
}
@Article{Koenker:2003:SSM,
author = "Roger Koenker and Pin Ng",
title = "{{\tt SparseM}}: a Sparse Matrix Package for {R}",
journal = j-J-STAT-SOFT,
volume = "8",
number = "6",
pages = "1--9",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i06/SparseM.pdf;
http://www.jstatsoft.org/v08/i6",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kuonen:2003:NIP,
author = "Diego Kuonen",
title = "Numerical Integration in {S-PLUS} or {R}: a Survey",
journal = j-J-STAT-SOFT,
volume = "8",
number = "13",
pages = "1--14",
year = "2003",
CODEN = "JSSOBK",
ISSN = "????",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i13;
http://www.jstatsoft.org/v08/i13/article.pdf",
abstract = "This paper reviews current quadrature methods for
approximate calculation of integrals within S-Plus or
R. Starting with the general framework, Gaussian
quadrature will be discussed first, followed by
adaptive rules and Monte Carlo methods. Finally, a
comparison of the methods presented is given. The aim
of this survey paper is to help readers, not expert in
computing, to apply numerical integration methods and
to realize that numerical analysis is an art, not a
science.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "Adaptive method; Comparison; Gaussian quadrature;
Monte Carlo method; Quadrature",
}
@Article{Kushler:2003:BRB,
author = "Robert Kushler",
title = "Book Review: {{\booktitle{Statistical Computing: An
Introduction to Data Analysis Using S-PLUS}} by Michael
J. Crawley}",
journal = j-TECHNOMETRICS,
volume = "45",
number = "4",
pages = "369--369",
month = nov,
year = "2003",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25047104",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:57 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25047080;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25047104",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Leisch:2003:SPI,
author = "Friedrich Leisch",
title = "{Sweave}, {Part II}: Package Vignettes",
journal = "R News",
volume = "3",
number = "2",
pages = "21--24",
month = oct,
year = "2003",
bibdate = "Sat Jul 05 19:24:59 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.statistik.lmu.de/~leisch/Sweave/Sweave-Rnews-2003-2.pdf",
acknowledgement = ack-nhfb,
}
@Article{Ligges:2003:SRP,
author = "Uwe Ligges and Martin M{\"a}chler",
title = "{{\tt Scatterplot3d}} --- an {R} package for
Visualizing Multivariate Data",
journal = j-J-STAT-SOFT,
volume = "8",
number = "11",
pages = "1--20",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i11;
http://www.jstatsoft.org/v08/i11/JSSs3d.pdf",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Maindonald:2003:DAG,
author = "J. H. (John Hilary) Maindonald and John Braun",
title = "Data analysis and graphics using {R}: an example-based
approach",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "xxiii + 362",
year = "2003",
ISBN = "0-521-81336-0",
ISBN-13 = "978-0-521-81336-5",
LCCN = "QA276.4 .M245 2003",
bibdate = "Mon Jul 4 16:19:30 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Cambridge series in statistical and probabilistic
mathematics",
URL = "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
http://www.loc.gov/catdir/description/cam031/2002031560.html;
http://www.loc.gov/catdir/toc/cam031/2002031560.html",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; Statistics; Graphic
methods; Data processing; R (Computer program
language)",
}
@Article{Manola:2003:BRB,
author = "Judith Manola",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses using S-Plus} (2nd ed.)}}",
journal = j-AMER-STAT,
volume = "57",
number = "2",
pages = "146--??",
month = may,
year = "2003",
CODEN = "ASTAAJ",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Jan 8 07:06:56 MST 2004",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "Review of \cite{Everitt:2002:HSA}.",
URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v57n2/s19/p146",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Millard:2003:LEB,
author = "Steven P. Millard and Nagaraj K. Neerchal",
title = "Letter to the {Editor}: {Book Review of
{{\booktitle{Environmental Statistics with S-Plus}}. J.
H. Petersen, \booktitle{Statistics in Medicine} 2002;
{\bf 21}:2607--2608}}",
journal = j-STAT-MED,
volume = "22",
number = "16",
pages = "2668--2670",
day = "30",
month = aug,
year = "2003",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.1552",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
note = "See \cite{Petersen:2002:BRE}.",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "23 July 2003",
}
@Article{Moreno:2003:BRB,
author = "Victor Moreno",
title = "Book Review: {{\booktitle{Understanding Statistical
Concepts Using S-Plus}}, by R. E. Schumacker; A.
Akers}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "52",
number = "3",
pages = "417--417",
month = "????",
year = "2003",
CODEN = "????",
DOI = "https://doi.org/10.2307/4128232",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i384333;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/4128232",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Murdoch:2003:ORP,
author = "Duncan Murdoch",
title = "{{\tt Orientlib}}: An {R} Package for Orientation
Data",
journal = j-J-STAT-SOFT,
volume = "8",
number = "19",
pages = "1--11",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i19;
http://www.jstatsoft.org/v08/i19/orientlib_paper.pdf",
abstract = "{\tt Orientlib} is an R package to facilitate working
with orientation data, i.e. elements of SO(3). It
provides automatic translation between different
representations of orientations, including rotation
matrices, quaternions, Euler angles and skew-symmetric
matrices; it also has functions for fitting regression
models and displaying orientations. This paper reviews
simple properties of orientation data and describes
{\tt Orientlib}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "Euler angles; orientation data; quaternions; rotation
matrices; SO(3)",
}
@Article{Peng:2003:MDP,
author = "Roger D. Peng",
title = "Multi-dimensional Point Process Models in {R}",
journal = j-J-STAT-SOFT,
volume = "8",
number = "16",
pages = "1--27",
month = "????",
year = "2003",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Dec 16 17:06:19 2003",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v08/i16;
http://www.jstatsoft.org/v08/i16/ptprocR102.pdf",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Sandry:2003:BRBb,
author = "Thomas D. Sandry",
title = "Book Review: {{\booktitle{Introductory Statistics with
R}} by Peter Dalgaard}",
journal = j-TECHNOMETRICS,
volume = "45",
number = "3",
pages = "274--275",
month = aug,
year = "2003",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25047066",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:20:56 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25047044;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25047066",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Sisson:2003:BRBc,
author = "Scott Sisson",
title = "Book Review: {{\booktitle{The Basics of S-PLUS}}, by
A. Krause; M. Olsen}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "52",
number = "3",
pages = "413--414",
month = "????",
year = "2003",
CODEN = "????",
DOI = "https://doi.org/10.2307/4128227",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:23 MST 2015",
bibsource = "http://www.jstor.org/stable/i384333;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/4128227",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Article{Tolvi:2003:BRBc,
author = "Jussi Tolvi",
title = "Book Review: {{\booktitle{Modeling Financial Time
Series with S-Plus}}, by E. Zivot; J. Wang}",
journal = j-J-R-STAT-SOC-SER-D-STATISTICIAN,
volume = "52",
number = "4",
pages = "705--705",
month = "????",
year = "2003",
CODEN = "????",
DOI = "https://doi.org/10.2307/4128162",
ISSN = "0039-0526 (print), 1467-9884 (electronic)",
ISSN-L = "0039-0526",
bibdate = "Thu Jan 22 18:10:24 MST 2015",
bibsource = "http://www.jstor.org/stable/i384335;
https://www.math.utah.edu/pub/tex/bib/jrss-d-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/4128162",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series D
(The Statistician)",
journal-URL = "http://www.jstor.org/journals/00390526.html",
}
@Book{Zivot:2003:MFT,
author = "Eric Zivot and Jiahui Wang",
title = "Modeling financial time series with {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xix + 632",
year = "2003",
ISBN = "0-387-95549-6 (paperback), 0-387-91624-5 (paperback)",
ISBN-13 = "978-0-387-95549-0 (paperback), 978-0-387-91624-8
(paperback)",
LCCN = "HG106 .Z584 2003",
bibdate = "Thu Oct 20 05:53:01 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
melvyl.cdlib.org:210/CDL90",
acknowledgement = ack-nhfb,
subject = "S-Plus; Finance; Mathematical models; Time-series
analysis; Finance; Econometric models",
}
@Article{Anderson-Cook:2004:BRBc,
author = "Christine M. Anderson-Cook",
title = "Book Review: {{\booktitle{Statistical Tools for
Nonlinear Regression: A Practical Guide with S-PLUS and
R Examples}, second edition}, by S. Huet; A. Bouvier;
M.-A. Poursat; E. Jolivet}",
journal = j-J-AM-STAT-ASSOC,
volume = "99",
number = "467",
pages = "902--903",
month = sep,
year = "2004",
CODEN = "JSTNAL",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Wed Jan 25 08:06:28 MST 2012",
bibsource = "http://www.amstat.org/publications/jasa/;
http://www.jstor.org/journals/01621459.html;
http://www.jstor.org/stable/i27590430;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://miranda.asa.catchword.org/vl=1515603/cl=66/nw=1/rpsv/cw/asa/01621459/v99n467/s52/p904;
http://www.jstor.org/stable/27590464",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Book{Atkinson:2004:EMD,
author = "Anthony C. Atkinson and Marco Riani and Andrea
Cerioli",
title = "Exploring Multivariate Data with the Forward Search",
volume = "??",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxi + 621",
year = "2004",
CODEN = "????",
DOI = "https://doi.org/10.1007/978-0-387-21840-3",
ISBN = "0-387-21840-8",
ISBN-13 = "978-0-387-21840-3",
ISSN = "0172-7397",
ISSN-L = "0172-7397",
LCCN = "QA278 .A85 2004",
bibdate = "Thu Jun 19 06:41:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer Series in Statistics",
URL = "http://link.springer.com/book/10.1007/978-0-387-21840-3",
abstract = "The forward search provides a method of revealing the
structure of data through a mixture of model fitting
and informative plots. The continuous multivariate data
that are the subject of this book are often analyzed as
if they come from one or more normal distributions.
Such analyses, including the need for transformation,
may be distorted by the presence of unidentified
subsets and outliers, both individual and clustered.
These important features are disguised by the standard
procedures of multivariate analysis. The book
introduces methods that reveal the effect of each
observation on fitted models and inferences. The
powerful methods of data analysis will be of importance
to scientists and statisticians. Although the emphasis
is on the analysis of data, theoretical developments
make the book suitable for a graduate statistical
course on multivariate analysis. Topics covered include
principal components analysis, discriminant analysis,
cluster analysis and the analysis of spatial data.
S-Plus programs for the forward search are available on
a web site. This book is a companion to Atkinson and
Riani's Robust Diagnostic Regression Analysis of which
the reviewer for The Journal of the Royal Statistical
Society wrote ``I read this book, compulsive reading
such as it was, in three sittings.'' Anthony Atkinson
is Emeritus Professor of Statistics at the London
School of Economics. He is also the author of Plots,
Transformations, and Regression and coauthor of Optimum
Experimental Designs. Professor Atkinson has served as
Editor of The Journal of the Royal Statistical Society,
Series B.",
acknowledgement = ack-nhfb,
remark = "Most volumes in this series are unnumbered.",
series-URL = "http://link.springer.com/bookseries/692",
subject = "Multivariate analysis; Multivariate analysis;
Multivariate analyse; An{\'a}lise multivariada;
Multivariate Analyse.",
tableofcontents = "Examples of Multivariate Data \\
Multivariate Data and the Forward Search \\
Data from One Multivariate Distribution \\
Multivariate Transformations to Normality \\
Principal Components Analysis \\
Discriminant Analysis \\
Cluster Analysis \\
Spatial Linear Models",
}
@Article{Bates:2004:BRB,
author = "Samantha C. Bates",
title = "Book Review: {{\booktitle{Introductory Statistics with
R}}}",
journal = j-AMER-STAT,
volume = "58",
number = "1",
pages = "88--??",
month = feb,
year = "2004",
CODEN = "ASTAAJ",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Fri Feb 20 06:14:28 MST 2004",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://oberon.ingentaselect.com/cgi-bin/linker?ini=asa&reqidx=/cw/asa/00031305/v58n1/s20/p88",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Beh:2004:PCO,
author = "Eric J. Beh",
title = "{S-PLUS} code for ordinal correspondence analysis",
journal = j-COMP-STAT,
volume = "19",
number = "4",
pages = "593--612",
month = dec,
year = "2004",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/BF02753914",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:31 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/BF02753914",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Cantoni:2004:RNS,
author = "Eva Cantoni",
title = "Resistant Nonparametric Smoothing with {S-PLUS}",
journal = j-J-STAT-SOFT,
volume = "10",
number = "2",
pages = "1--6",
month = "????",
year = "2004",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Dec 04 09:18:40 2004",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=93&url=v10/i02/Mspline4.pdf&ct=1",
accepted = "2004-04-26",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2002-07-17",
}
@Book{Carmona:2004:SAF,
author = "R. (Ren{\'e}) Carmona",
title = "Statistical analysis of financial data in {S-PLUS}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 451",
year = "2004",
ISBN = "0-387-20286-2",
ISBN-13 = "978-0-387-20286-0",
LCCN = "HG106 .C37 2004",
bibdate = "Thu Jul 10 08:12:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy0818/2003066218-d.html;
http://www.loc.gov/catdir/toc/fy044/2003066218.html",
acknowledgement = ack-nhfb,
remark = "Based on the author's lecture notes for a course at
Princeton University.",
subject = "Finance; Mathematical models; Econometric models;
S-Plus",
}
@Book{Heiberger:2004:SAD,
author = "Richard M. Heiberger and Burt Holland",
title = "Statistical analysis and data display: an intermediate
course with examples in {S-plus}, {R}, and {SAS}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiv + 729",
year = "2004",
ISBN = "0-387-40270-5",
ISBN-13 = "978-0-387-40270-3",
LCCN = "QA276.4 .H445 2004",
bibdate = "Mon Jul 4 16:49:12 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Data processing; Statistics;
Data processing; S-Plus; R (Computer programming
language); SAS (Computer file)",
}
@Article{Hojsgaard:2004:MPG,
author = "S{\o}ren H{\o}jsgaard",
title = "The {{\tt mimR}} Package for Graphical Modelling in
{R}",
journal = j-J-STAT-SOFT,
volume = "11",
number = "6",
pages = "1--13",
month = "????",
year = "2004",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Dec 04 09:18:40 2004",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=102&url=v11/i06/v11i06.pdf&ct=1",
accepted = "2004-10-02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2004-07-06",
}
@Article{Hornik:2004:RV,
author = "Kurt Hornik and Friedrich Leisch",
title = "{R Version 2.0.0}",
journal = j-COMP-STAT,
volume = "19",
number = "4",
pages = "661--664",
month = dec,
year = "2004",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/BF02753918",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:31 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/BF02753918",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Horton:2004:URT,
author = "Nicholas J. Horton and Elizabeth R. Brown and Linjuan
Qian",
title = "Use of {R} as a Toolbox for Mathematical Statistics
Exploration",
journal = j-AMER-STAT,
volume = "58",
number = "4",
pages = "343--357",
month = nov,
year = "2004",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/000313004X5572",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Fri Jan 27 18:16:35 MST 2012",
bibsource = "http://www.amstat.org/publications/tas/;
http://www.jstor.org/journals/00031305.html;
http://www.jstor.org/stable/i27643578;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27643595",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Book{Huet:2004:STN,
author = "S. (Sylvie) Huet and Annie Bouvier and Marie-Anne
Poursat and Emmanuel Jolivet",
title = "Statistical tools for nonlinear regression: a
practical guide with {S-PLUS} and {R} examples",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xiv + 232",
year = "2004",
ISBN = "0-387-40081-8",
ISBN-13 = "978-0-387-40081-5",
LCCN = "QA278.2 .H84 2004",
bibdate = "Mon Jul 4 16:33:45 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer series in statistics",
acknowledgement = ack-nhfb,
subject = "Regression analysis; Nonlinear theories; Parameter
estimation",
}
@Article{Karatzoglou:2004:KSP,
author = "Alexandros Karatzoglou and Alex Smola and Kurt Hornik
and Achim Zeileis",
title = "{\tt kernlab} --- An {S4} Package for Kernel Methods
in {R}",
journal = j-J-STAT-SOFT,
volume = "11",
number = "9",
pages = "1--20",
month = "????",
year = "2004",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Dec 04 09:18:40 2004",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=105&url=v11/i09/v11i09.pdf&ct=1",
accepted = "2004-11-02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2004-08-15",
}
@Article{Koning:2004:FAF,
author = "Ruud H. Koning",
title = "{FinMetrics}: analysis of financial data in {S-PLUS}",
journal = j-J-APPL-ECONOMETRICS,
volume = "19",
number = "2",
pages = "283--290",
month = mar # "--" # apr,
year = "2004",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.775",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "05 April 2004",
}
@Article{Leisch:2004:FGF,
author = "Friedrich Leisch",
title = "{FlexMix}: a General Framework for Finite Mixture
Models and Latent Class Regression in {R}",
journal = j-J-STAT-SOFT,
volume = "11",
number = "8",
pages = "1--18",
month = "????",
year = "2004",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Dec 04 09:18:40 2004",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=104&url=v11/i08/v11i08.pdf&ct=1",
accepted = "2004-10-18",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2004-04-19",
}
@Article{McNeil:2004:BRB,
author = "Alexander J. McNeil",
title = "Book Review: {{\booktitle{Modeling Financial Time
Series with S-Plus}}, by Eric Zivot; Jiahui Wang}",
journal = j-J-AM-STAT-ASSOC,
volume = "99",
number = "466",
pages = "564--565",
month = apr,
year = "2004",
CODEN = "JSTNAL",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Wed Jan 25 08:06:28 MST 2012",
bibsource = "http://www.amstat.org/publications/jasa/;
http://www.jstor.org/journals/01621459.html;
http://www.jstor.org/stable/i27590385;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://miranda.asa.catchword.org/vl=1515603/cl=66/nw=1/rpsv/cw/asa/01621459/v99n466/s34/p564;
http://www.jstor.org/stable/27590420",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Book{RDCT:2004:RRM,
author = "{R Development Core Team}",
title = "The {R} reference manual: base package",
publisher = pub-NETWORK-THEORY,
address = pub-NETWORK-THEORY:adr,
pages = "x + 723 (vol. 1), viii + 695 (vol. 2)",
year = "2004",
ISBN = "0-9546120-0-0 (vol. 1), 0-9546120-1-9 (vol. 2)",
ISBN-13 = "978-0-9546120-0-9 (vol. 1), 978-0-9546120-1-6 (vol.
2)",
LCCN = "QA76.7 RRE",
bibdate = "Mon Jul 4 16:38:55 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
library.ox.ac.uk:210/ADVANCE",
acknowledgement = ack-nhfb,
remark = "Version 1.8.1.",
subject = "R (Computer programming language); Statistics; Data
processing",
}
@Book{Ruppert:2004:SFI,
author = "David Ruppert",
title = "Statistics and finance: an introduction",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xx + 473",
year = "2004",
ISBN = "0-387-20270-6",
ISBN-13 = "978-0-387-20270-9",
LCCN = "HG176.5 .R87 2004",
bibdate = "Fri Jul 25 07:18:07 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy0818/2003063814-d.html;
http://www.loc.gov/catdir/enhancements/fy0818/2003063814-t.html",
abstract = "Emphasizing the applications of statistics and
probability to finance, this book reviews the basics of
probability and statistics, and introduces advanced
topics in statistics, such as regression, ARMA and
GARCH models, and others. It covers the classical
methods of finance such as portfolio theory, CAPM, and
the Black-Scholes formula.",
acknowledgement = ack-nhfb,
author-dates = "1948--",
subject = "Finance; Statistical methods; Statistics",
tableofcontents = "1: Introduction \\
2: Probability and statistical models \\
3: Returns \\
4: Time series models \\
5: Portfolio theory \\
6: Regression \\
7: The capital asset pricing model \\
8: Options pricing \\
9: Fixed income securities \\
10: Resampling \\
11: Value-at-risk \\
12: GARCH models \\
13: Nonparametric regression and splines \\
14: Behavioral finance",
}
@Book{Venables:2004:IRN,
editor = "W. N. (William N.) Venables",
title = "An introduction to {R}: notes on {R}: a programming
environment for data analysis and graphics, version
1.9.1",
publisher = pub-NETWORK-THEORY,
address = pub-NETWORK-THEORY:adr,
edition = "Second printing, revised and updated",
pages = "vi + 146",
year = "2004",
ISBN = "0-9541617-4-2 (paperback)",
ISBN-13 = "978-0-9541617-4-3 (paperback)",
bibdate = "Mon Jul 4 15:57:52 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.libris.kb.se:210/libr",
acknowledgement = ack-nhfb,
subject = "R (Computer programming language); Mathematical
statistics; Computer programs",
}
@Article{Wiens:2004:MSP,
author = "Douglas P. Wiens",
title = "{MATCH} --- a Software Package for Robust Profile
Matching Using {S-Plus}",
journal = j-J-STAT-SOFT,
volume = "10",
number = "1",
pages = "1--35",
month = "????",
year = "2004",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Dec 04 09:18:40 2004",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=91&url=v10/i01/manual2.pdf&ct=1",
accepted = "2004-04-26",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2002-10-06",
}
@Article{Ziegel:2004:BRBg,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{An R and S-PLUS Companion to
Applied Regression}} by John Fox}",
journal = j-TECHNOMETRICS,
volume = "46",
number = "3",
pages = "371--371",
month = aug,
year = "2004",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25470872",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:00 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25470840;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25470872",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Baddeley:2005:SRP,
author = "Adrian Baddeley and Rolf Turner",
title = "{\tt spatstat}: An {R} Package for Analyzing Spatial
Point Patterns",
journal = j-J-STAT-SOFT,
volume = "12",
number = "6",
pages = "1--42",
month = "????",
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=113&url=v12/i06&ct=2;
http://www.jstatsoft.org/counter.php?id=113&url=v12/i06/v12i06.pdf&ct=1",
accepted = "2005-01-26",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-01-26",
}
@Article{Beh:2005:PCS,
author = "Eric J. Beh",
title = "{S-PLUS} code for simple and multiple correspondence
analysis",
journal = j-COMP-STAT,
volume = "20",
number = "3",
pages = "415--438",
month = sep,
year = "2005",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/BF02741306",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:32 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/BF02741306",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Box:2005:SED,
author = "George E. P. Box and J. Stuart Hunter and William
Gordon Hunter",
title = "Statistics for experimenters: design, innovation, and
discovery",
publisher = pub-WILEY-INTERSCIENCE,
address = pub-WILEY-INTERSCIENCE:adr,
edition = "Second",
pages = "xvii + 633",
year = "2005",
ISBN = "0-471-71813-0",
ISBN-13 = "978-0-471-71813-0",
LCCN = "QA279 .B69 2005",
bibdate = "Wed Sep 15 09:42:59 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy0619/2004063780-b.html;
http://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html;
http://www.loc.gov/catdir/toc/wiley051/2004063780.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471718130.html",
acknowledgement = ack-nhfb,
subject = "experimental design; analysis of variance;
mathematical statistics",
}
@Article{Brezger:2005:BAB,
author = "Andreas Brezger and Thomas Kneib and Stefan Lang",
title = "{BayesX}: Analyzing {Bayesian} Structural Additive
Regression Models",
journal = j-J-STAT-SOFT,
volume = "14",
number = "11",
pages = "1--22",
day = "9",
month = sep,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Dec 12 11:09:58 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=136&url=v14/i11&ct=2;
http://www.jstatsoft.org/counter.php?id=136&url=v14/i11/v14i11.pdf&ct=1",
abstract = "There has been much recent interest in Bayesian
inference for generalized additive and related models.
The increasing popularity of Bayesian methods for these
and other model classes is mainly caused by the
introduction of Markov chain Monte Carlo (MCMC)
simulation techniques which allow realistic modeling of
complex problems. This paper describes the capabilities
of the free software package {\tt BayesX} for
estimating regression models with structured additive
predictor based on MCMC inference. The program extends
the capabilities of existing software for
semiparametric regression included in S-PLUS, SAS, R or
Stata. Many model classes well known from the
literature are special cases of the models supported by
BayesX. Examples are generalized additive (mixed)
models, dynamic models, varying coefficient models,
geoadditive models, geographically weighted regression
and models for space-time regression. BayesX supports
the most common distributions for the response
variable. For univariate responses these are Gaussian,
Binomial, Poisson, Gamma, negative Binomial, zero
inflated Poisson and zero inflated negative binomial.
For multicategorical responses, both multinomial logit
and probit models for unordered categories of the
response as well as cumulative threshold models for
ordered categories can be estimated. Moreover, BayesX
allows the estimation of complex continuous time
survival and hazard rate models.",
accepted = "2005-09-09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "geoadditive models; MCMC; mixed models; space-time
regression; structured additive regression",
submitted = "2004-06-18",
}
@Article{Buttrey:2005:CLL,
author = "Samuel E. Buttrey",
title = "Calling the {\tt lp\_solve} Linear Program Software
from {R}, {S-PLUS} and {Excel}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "4",
pages = "1--13",
day = "1",
month = may,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=129&url=v14/i04&ct=2;
http://www.jstatsoft.org/counter.php?id=129&url=v14/i04/v14i04.pdf&ct=1",
accepted = "2005-05-01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-05-01",
}
@Article{Cox:2005:BRS,
author = "Christopher Cox",
title = "Book Review: 1. {{\booktitle{Statistical tools for
non-linear regression. A practical guide with S-Plus
and R examples}} (2nd edn). Sylvie Huet, Annie Bouvier,
Marie-Anne Poursat and Emmanuel Jolivet, Springer, New
York, 2004. No. of pages: xiv + 232. Price: \$74.94,
\pounds 57.50, EUR74.95 (+ VAT). ISBN 0-387-40081-8}",
journal = j-STAT-MED,
volume = "24",
number = "13",
pages = "2105--2106",
day = "15",
month = jul,
year = "2005",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.2084",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:42 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "06 June 2005",
}
@Book{Crawley:2005:SIU,
author = "Michael J. Crawley",
title = "Statistics: an introduction using {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xiii + 327",
year = "2005",
ISBN = "0-470-02297-3 (hardback), 0-470-02298-1 (paperback)",
ISBN-13 = "978-0-470-02297-9 (hardback), 978-0-470-02298-6
(paperback)",
LCCN = "QA276.12 .C73 2005",
bibdate = "Mon Jul 4 16:35:33 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
http://www.imperial.ac.uk/bio/research/crawley/statistics;
http://www.loc.gov/catdir/toc/ecip053/2004026793.html",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Textbooks; R (Computer
programming language)",
}
@Article{Dejean:2005:FRP,
author = "S{\'e}bastien D{\'e}jean and Serge Cohen",
title = "{FracSim}: An {R} Package to Simulate Multifractional
{L{\'e}vy} Motions",
journal = j-J-STAT-SOFT,
volume = "14",
number = "18",
pages = "1--19",
month = dec,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v14/i18",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-10-06; Accepted 2005-12-08",
}
@Article{deLeeuw:2005:BRBa,
author = "Jan de Leeuw",
title = "Book Review: {{\booktitle{Correspondence Analysis and
Data Coding with Java and R}}}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "BR-5",
pages = "1--2",
month = sep,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v14/b05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-09-08; Accepted 2005-09-08",
}
@Article{deLeeuw:2005:BRBb,
author = "Jan de Leeuw",
title = "Book Review: {{\booktitle{An R and S-PLUS Companion to
Multivariate Analysis}}}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "BR-6",
pages = "1--3",
month = sep,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v14/b06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-09-16; Accepted 2005-09-16",
}
@Article{Dias:2005:SAF,
author = "Alexandra Dias",
title = "Statistical Analysis of Financial Data in {S-Plus}",
journal = j-AMER-STAT,
volume = "59",
number = "4",
pages = "351--351",
month = nov,
year = "2005",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2005.s34",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:26 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Book{Everitt:2005:RPC,
author = "Brian S. Everitt",
title = "An {R} and {S-PLUS} companion to multivariate
analysis",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 221",
year = "2005",
ISBN = "1-85233-882-2",
ISBN-13 = "978-1-85233-882-4",
LCCN = "QA278 .E926 2005",
bibdate = "Mon Jul 4 16:31:29 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
acknowledgement = ack-nhfb,
subject = "Multivariate analysis; S-Plus; R (Computer program
language)",
}
@Book{Faraway:2005:LMR,
author = "Julian James Faraway",
title = "Linear models with {R}",
volume = "63",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "x + 229",
year = "2005",
ISBN = "1-58488-425-8",
ISBN-13 = "978-1-58488-425-5",
LCCN = "QA279 .F37 2005",
bibdate = "Mon Jul 4 16:28:36 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Texts in statistical science",
acknowledgement = ack-nhfb,
subject = "Analysis of variance; Regression analysis",
}
@Article{Firth:2005:BTM,
author = "David Firth",
title = "{Bradley--Terry} Models in {R}",
journal = j-J-STAT-SOFT,
volume = "12",
number = "1",
pages = "1--12",
month = "????",
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=107&url=v12/i01&ct=2;
http://www.jstatsoft.org/counter.php?id=107&url=v12/i01/v12i01.pdf&ct=1",
accepted = "2005-01-07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-01-07",
}
@Article{Fox:2005:BRB,
author = "John Fox",
title = "Book Review: {{\booktitle{The Basics of S-Plus, Fourth
Edition}}}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "BR-8",
pages = "1--3",
month = dec,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v14/b08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-12-15; Accepted 2005-12-15",
}
@Article{Fox:2005:RCB,
author = "John Fox",
title = "The {R Commander}: a Basic-Statistics Graphical User
Interface to {R}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "9",
pages = "1--42",
day = "19",
month = aug,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Dec 12 11:09:58 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=134&url=v14/i09&ct=2;
http://www.jstatsoft.org/counter.php?id=134&url=v14/i09/v14i09.pdf&ct=1",
abstract = "Unlike S-PLUS, R does not incorporate a statistical
graphical user interface (GUI), but it does include
tools for building GUIs. Based on the {\tt tcltk}
package (which furnishes an interface to the Tcl/Tk GUI
toolkit), the {\tt Rcmdr} package provides a
basic-statistics graphical user interface to R called
the R Commander. The design objectives of the R
Commander were as follows: to support, through an
easy-to-use, extensible, crossplatform GUI, the
statistical functionality required for a
basic-statistics course (though its current
functionality has grown to include support for linear
and generalized-linear models, and other more advanced
features); to make it relatively di cult to do
unreasonable things; and to render visible the
relationship between choices made in the GUI and the R
commands that they generate. The R Commander uses a
simple and familiar menu/dialog-box interface.
Top-level menus include File, Edit, Data, Statistics,
Graphs, Models, Distributions, Tools, and Help, with
the complete menu tree given in the paper. Each dialog
box includes a Help button, which leads to a relevant
help page. Menu and dialog-box selections generate R
commands, which are recorded in a script window and are
echoed, along with output, to an output window. The
script window also provides the ability to edit, enter,
and re-execute commands. Error messages, warnings, and
some other information appear in a separate messages
window. Data sets in the R Commander are simply R data
frames, and can be read from attached packages or
imported from files. Although several data frames may
reside in memory, only one is active at any given time.
There may also be an active statistical model (e.g., an
R lm or glm object). The purpose of this paper is to
introduce and describe the use of the R Commander GUI;
to describe the design and development of the R
Commander; and to explain how the R Commander GUI can
be extended. The second part of the paper (following a
brief introduction) can serve as an introductory guide
for students who will use the R Commander",
accepted = "2005-08-19",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "R language; statistical education; statistical GUI;
statistical software",
submitted = "2004-07-22",
}
@Book{Gentleman:2005:BCB,
editor = "Robert Gentleman and Rafael A. Irizarry and Wolfgang
Huber and Sandrine Dudoit and Vincent J. Carey",
title = "Bioinformatics and computational biology solutions
using {R} and {Bioconductor}",
publisher = "Springer Science+Business Media",
address = "New York, NY, USA",
pages = "xix + 473",
year = "2005",
ISBN = "0-387-25146-4",
ISBN-13 = "978-0-387-25146-2",
LCCN = "QH324.2 .B5473 2005",
bibdate = "Thu Jul 10 08:33:13 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics for biology and health",
URL = "http://www.loc.gov/catdir/enhancements/fy0662/2005923843-d.html;
http://www.loc.gov/catdir/enhancements/fy0818/2005923843-t.html",
acknowledgement = ack-nhfb,
subject = "Bioinformatics; Bioconductor (Computer file); R
(Computer program language)",
tableofcontents = "Sequence databases / Rolf Apweiler \\
Mapping databases / Tara Matise and Peter S. White \\
Information retrieval from biological databases /
Andreas D. Baxevanis \\
Genomic databases / Tyra Wolfsberg \\
Predictive methods using DNA sequences / Roderic
Guig{\'o} and Enrique Blanco \\
Predictive methods using RNA sequences / Michael Zucker
and David Mathews \\
Sequence polymorphisms / James C. Mullikin and Stephen
T. Sherry \\
Predictive methods using protein sequences / Burkhard
Rost and Yanay Ofran \\
Protein structure prediction and analysis / David
Wishart \\
Intermolecular interactions and biological pathways /
Gary D. Bader and Anton J. Enright \\
Assessing pairwise sequence similarity: blast and fasta
/ Andreas D. Baxevanis \\
Creation and analysis of protein multiple sequence
alignments / Geoffrey J. Barton \\
Sequence assembly and finishing methods / Gerard
Bouffard, Nancy F. Hansen, and Pamela Jacques Thomas
\\
Phylogenetic analysis / Fiona S. L. Brinkman \\
Computational approaches in comparative genomics /
Andreas D. Baxevanis \\
Microarray analysis / John Quackenbush \\
Proteomics and protein identification / Michael
Giddings, Mark R. Holmes, and Kevin Ramkissoon \\
Using perl to facilitate biological analysis / Lincoln
D. Stein",
}
@Book{Good:2005:IST,
author = "Phillip I. Good",
title = "Introduction to statistics through resampling methods
and {R/S-PLUS}",
publisher = pub-WILEY-INTERSCIENCE,
address = pub-WILEY-INTERSCIENCE:adr,
pages = "xii + 229",
year = "2005",
ISBN = "0-471-71575-1 (paperback)",
ISBN-13 = "978-0-471-71575-7 (paperback)",
LCCN = "QA278.8 .G63 2005",
bibdate = "Thu Oct 20 05:47:15 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "ftp://uiarchive.cso.uiuc.edu/pub/etext/gutenberg/;
http://www.loc.gov/catdir/toc/wiley051/2004061922.html",
acknowledgement = ack-nhfb,
subject = "Resampling (Statistics); S-Plus",
tableofcontents = "Preface \\
1. Variation \\
1.1 Variation \\
1.2. Collecting Data \\
1.3. Summarizing Your Data \\
1.4. Types of Data \\
1.5. Reporting Your Results \\
1.6. Measures of Location \\
1.7. Samples and Populations \\
1.8. Variation---Within and Between \\
1.9. Summary and Review \\
2. Probability \\
2.1. Probability \\
2.2. Binomial \\
2.3. Condition Probability \\
2.4. Independence \\
2.5. Applications to Genetics \\
2.6. Summary and Review \\
3. Distributions \\
3.1. Distribution of Values \\
3.2. Discrete Distributions \\
3.3. Continuous Distributions \\
3.4. Properties of Independence Observations \\
3.5. Testing A Hypothesis \\
3.6. Estimating Effect Size \\
3.7 Summary and Review \\
4. Testing Hypotheses \\
4.1. One-Sample Problems \\
4.2. Comparing Two Samples \\
4.3. Which Test Should e Use? \\
4.4. Summary and Review \\
5. Designing an Experiment or Survey \\
5.1. The Hawthorne Effect \\
5.2. Designing an Experiment or Survey \\
5.3. How Large a Sample \\
5.4. Meta-Analysis \\
5.5. Summary and Review \\
6. Analyzing Complex Experiments \\
6.1. Changes Measured in Percentages \\
6.2. Comparing More Than Two Samples \\
6.3. Equalizing Variances \\
6.4. Categorical Data \\
6.5. Multivariate Analysis \\
6.6. Summary and Review \\
7. Developing Models \\
7.1. Models \\
7.2. Regression \\
7.3. Fitting a Regression Equation \\
7.4. Problems with Regression \\
7.5 Quantile Regression \\
7.6. Validation \\
7.7 Classification- and Regression-Trees \\
7.8 Summary and Review \\
8. Reporting Your Findings \\
8.1. What to Report \\
8.2. Text, Tables, of Graph? \\
8.3. Summarizing Your Results \\
8.4 Reporting Analysis Results \\
8.5 Exceptions are the Real Story \\
9. Problem Solving \\
9.1. Real Life Problems \\
9.2. Problem Sets \\
9.3. Solutions \\
Appendix: S-PLUS \\
Answers to Selected Exercises \\
Subject Index \\
Index to R Functions",
}
@Article{Gould:2005:BRB,
author = "Robert Gould",
title = "Book Review: {{\booktitle{Using R for Introductory
Statistics}}}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "BR-7",
pages = "1--3",
month = nov,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v14/b07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-11-09; Accepted 2005-11-09",
}
@Article{Hankin:2005:IBR,
author = "Robin K. S. Hankin",
title = "Introducing {BACCO}, an {R} Bundle for {Bayesian}
Analysis of Computer Code Output",
journal = j-J-STAT-SOFT,
volume = "14",
number = "16",
pages = "1--21",
day = "19",
month = oct,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Dec 12 11:09:58 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=141&url=v14/i16&ct=2;
http://www.jstatsoft.org/counter.php?id=141&url=v14/i16/v14i16.pdf&ct=1",
abstract = "This paper introduces the BACCO bundle of R routines
for carrying out Bayesian analysis of computer code
output. The bundle comprises packages {\tt emulator}
and {\tt calibrator}, computerized implementations of
the ideas of Oakley and O Hagan (2002) and Kennedy and
O Hagan (2001a) respectively. The bundle is
self-contained and fully documented R code, and
includes a toy dataset that furnishes a working example
of the functions.\par
Package {\tt emulator} carries out Bayesian emulation
of computer code output; package {\tt calibrator}
allows the incorporation of observational data into
model calibration using Bayesian techniques.\par
The package is then applied to a dataset taken from
climate science.",
accepted = "2005-10-19",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "Bayesian analysis; climate modelling; uncertainty in
climate prediction",
submitted = "2005-06-09",
}
@Article{Hewson:2005:BRBa,
author = "Paul Hewson",
title = "Book Review: {{\booktitle{Statistical Tools for
Nonlinear Regression: a Practical Guide with S-PLUS and
R Examples}}, 2nd edn}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "168",
number = "1",
pages = "254--254",
month = jan,
year = "2005",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2004.00347_7.x;
https://doi.org/10.2307/3559726",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:14 MST 2015",
bibsource = "http://www.jstor.org/stable/i369612;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/3559726",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "15 Dec 2004",
}
@Article{Hin:2005:ACD,
author = "Lin Yee Hin and Vincent Carey",
title = "An Algorithm for Clustered Data Generalized Additive
Modelling with {S-PLUS}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "8",
pages = "1--24",
day = "31",
month = aug,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Dec 12 11:09:58 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=133&url=v14/i08&ct=2;
http://www.jstatsoft.org/counter.php?id=133&url=v14/i08/v14i08.pdf&ct=1",
abstract = "We present a set of functions in S-PLUS to implement
the clustered data generalized additive marginal
modelling (CDGAM) strategy proposed by Berhane and
Tibshirani (1998). A variety of working correlation
structures are supported, and the regression basis may
include components from the family of smoothing
splines.",
accepted = "2005-08-31",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "clustered data analysis; generalized estimating
equations",
submitted = "2005-01-27",
}
@Article{Hojsgaard:2005:RPG,
author = "S{\o}ren H{\o}jsgaard and Ulrich Halekoh and Jun Yan",
title = "The {R} Package {\tt geepack} for Generalized
Estimating Equations",
journal = j-J-STAT-SOFT,
volume = "15",
number = "2",
pages = "1--11",
month = dec,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i02",
abstract = "This paper describes the core features of the R
package {\tt geepack}, which implements the generalized
estimating equations (GEE) approach for fitting
marginal generalized linear models to clustered data.
Clustered data arise in many applications such as
longitudinal data and repeated measures. The GEE
approach focuses on models for the mean of the
correlated observations within clusters without fully
specifying the joint distribution of the observations.
It has been widely used in statistical practice. This
paper illustrates the application of the GEE approach
with {\tt geepack} through an example of clustered
binary data.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-06-17; Accepted 2005-12-22",
}
@Article{Hornik:2005:RV,
author = "Kurt Hornik and Friedrich Leisch",
title = "{R Version 2.1.0}",
journal = j-COMP-STAT,
volume = "20",
number = "2",
pages = "197--202",
month = jun,
year = "2005",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/BF02789699",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:31 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/BF02789699",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Imai:2005:MRP,
author = "Kosuke Imai and David A. {Van Dyk}",
title = "{{\tt MNP}}: {R} Package for Fitting the {Multinomial
Probit Model}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "3",
pages = "1--32",
day = "8",
month = may,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=128&url=v14/i03&ct=2;
http://www.jstatsoft.org/counter.php?id=128&url=v14/i03/v14i03.pdf&ct=1",
accepted = "2005-05-08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-05-08",
}
@Article{Johnstone:2005:ERP,
author = "Iain M. Johnstone and Bernard W. Silverman",
title = "{EbayesThresh}: {R} Programs for Empirical {Bayes}
Thresholding",
journal = j-J-STAT-SOFT,
volume = "12",
number = "8",
pages = "1--38",
month = "????",
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=125&url=v12/i08&ct=2;
http://www.jstatsoft.org/counter.php?id=125&url=v12/i08/v12i08.pdf&ct=1",
accepted = "2005-04-06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-04-06",
}
@Article{Karlis:2005:BPD,
author = "Dimitris Karlis and Ioannis Ntzoufras",
title = "Bivariate {Poisson} and Diagonal Inflated Bivariate
{Poisson} Regression Models in {R}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "10",
pages = "1--36",
day = "5",
month = sep,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Dec 12 11:09:58 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=135&url=v14/i10&ct=2;
http://www.jstatsoft.org/counter.php?id=135&url=v14/i10/v14i10.pdf&ct=1",
abstract = "In this paper we present an R package called {\tt
bivpois} for maximum likelihood estimation of the
parameters of bivariate and diagonal inflated bivariate
Poisson regression models. An Expectation-Maximization
(EM) algorithm is implemented. Inflated models allow
for modelling both over-dispersion (or
under-dispersion) and negative correlation and thus
they are appropriate for a wide range of applications.
Extensions of the algorithms for several other models
are also discussed. Detailed guidance and
implementation on simulated and real data sets using
{\tt bivpois} package is provided.",
accepted = "2005-09-05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "bivariate Poisson distribution; EM algorithm;
multivariate count data; R functions; zero and diagonal
inflated models",
submitted = "2003-11-14",
}
@Book{Krause:2005:BP,
author = "Andreas Krause",
title = "The basics of {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Fourth",
pages = "xxii + 442",
year = "2005",
ISBN = "0-387-26109-5",
ISBN-13 = "978-0-387-26109-6",
LCCN = "QA276.4 .K73 2005",
bibdate = "Thu Oct 20 05:47:11 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
sirsi.library.utoronto.ca:2200/UNICORN;
z3950.loc.gov:7090/Voyager",
series = "Statistics, computing",
acknowledgement = ack-nhfb,
}
@Book{Lemmon:2005:DSS,
author = "David R. Lemmon and J. L. (Joseph L.) Schafer",
title = "Developing statistical software in {Fortran 95}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 323",
year = "2005",
ISBN = "0-387-28123-1, 0-387-23817-4 (paperback)",
ISBN-13 = "978-0-387-28123-0, 978-0-387-23817-3 (paperback)",
LCCN = "QA76.5 .L453 2005",
MRclass = "65C60 (62-02 62-04 65-02 65Y15 68N15)",
bibdate = "Sat Aug 16 17:32:32 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fortran3.bib;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/spss.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics and computing",
URL = "http://www.loc.gov/catdir/enhancements/fy0662/2004061447-d.html;
http://www.loc.gov/catdir/enhancements/fy0818/2004061447-t.html",
abstract = "This book gives statisticians, biostatisticians and
methodologically-oriented researchers the tools they
need to develop high-quality statistical software.
Through detailed examples, readers are shown how to
call Fortran procedures from packages including Excel,
SAS, SPSS, S-PLUS, R, and MATLAB. They are even given a
tutorial on creating GUIs for Fortran computational
code using Visual Basic.NET.\par
This book is for those who want to learn how to create
statistical applications quickly and effectively. Prior
experience with a programming language such as Basic,
Fortran or C is helpful but not required. More
experienced programmers will learn new strategies to
harness the power of modern Fortran and the
object-oriented paradigm. This may serve as a
supplementary text for a graduate course on statistical
computing.",
acknowledgement = ack-nhfb,
subject = "FORTRAN (Computer program language); Statistics; Data
processing",
tableofcontents = "1: Motivation \\
2: Introduction to modern Fortran \\
3: A pseudo object-oriented style \\
4: Implementing computational routines \\
5: Developing a console application \\
6: Creating and using dynamic-link libraries \\
7: Creating COM servers \\
8: Creating COM clients",
}
@Book{Murtagh:2005:CAD,
author = "Fionn Murtagh",
title = "Correspondence analysis and data coding with {Java}
and {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "230",
year = "2005",
ISBN = "1-58488-528-9",
ISBN-13 = "978-1-58488-528-3",
LCCN = "QA76.73.J38 M877 2005",
bibdate = "Wed Jul 9 11:11:42 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/java2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Computer science and data analysis series",
URL = "http://www.loc.gov/catdir/enhancements/fy0648/2005041353-d.html",
acknowledgement = ack-nhfb,
remark = "Foreword by J.-P. Benz{\'e}cri.",
subject = "Java (Computer program language); R (Computer program
language); Correspondence analysis (Statistics)",
}
@Article{Narasimhan:2005:LSJ,
author = "Balasubramanian Narasimhan",
title = "{Lisp--Stat} to {Java} to {R}",
journal = j-J-STAT-SOFT,
volume = "13",
number = "4",
pages = "1--10",
month = "????",
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=118&url=v13/i04&ct=2;
http://www.jstatsoft.org/counter.php?id=118&url=v13/i04/v13i04.pdf&ct=1",
accepted = "0000-00-00",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
remark = "Special Volume: Lisp--Stat, Past, Present and Future.
Pedro Valero-Mora and Frederic Udina, Guest Editors.",
submitted = "0000-00-00",
}
@Article{Prins:2005:LMR,
author = "Samantha C. Bates Prins",
title = "Linear Models with {R}",
journal = j-AMER-STAT,
volume = "59",
number = "3",
pages = "276--276",
month = aug,
year = "2005",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2005.s247",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:26 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Prins:2005:SAD,
author = "Samantha C. Bates Prins",
title = "Statistical Analysis and Data Display: An Intermediate
Course with Examples in {S-Plus}, {R}, and {SAS}",
journal = j-AMER-STAT,
volume = "59",
number = "3",
pages = "275--276",
month = aug,
year = "2005",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2005.s246",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:26 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Ritz:2005:BAU,
author = "Christian Ritz and Jens C. Streibig",
title = "Bioassay Analysis Using {R}",
journal = j-J-STAT-SOFT,
volume = "12",
number = "5",
pages = "1--22",
month = "????",
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=112&url=v12/i05&ct=2;
http://www.jstatsoft.org/counter.php?id=112&url=v12/i05/v12i05.pdf&ct=1",
accepted = "2005-01-19",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-01-19",
}
@Article{Robinson:2005:BRB,
author = "Timothy J. Robinson",
title = "Book Review: {{\booktitle{Linear Models with R}} by
Julian J. Faraway}",
journal = j-TECHNOMETRICS,
volume = "47",
number = "3",
pages = "372--373",
month = aug,
year = "2005",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471031",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:06 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471016;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471031",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Rossi:2005:BSM,
author = "Peter E. (Peter Eric) Rossi and Greg M. (Greg Martin)
Allenby and Robert E. (Robert Edward) McCulloch",
title = "{Bayesian} statistics and marketing",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "x + 348",
year = "2005",
ISBN = "0-470-86367-6",
ISBN-13 = "978-0-470-86367-1",
LCCN = "HF5415.2 .R675 2005",
bibdate = "Wed Sep 15 09:41:11 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0622/2005016418-d.html;
http://www.loc.gov/catdir/toc/ecip0514/2005016418.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470863676.html",
acknowledgement = ack-nhfb,
subject = "marketing research; mathematical models; marketing;
Bayesian statistical decision theory; R (computer
programming language); bayesm (R package)",
}
@Book{Scherer:2005:IMP,
author = "Bernd Michael Scherer and R. Douglas Martin",
title = "Introduction to modern portfolio optimization with
{NuOPT} and {S-PLUS}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxi + 405",
year = "2005",
ISBN = "0-387-21016-4",
ISBN-13 = "978-0-387-21016-2",
LCCN = "HG4529.5 .S325 2005",
bibdate = "Thu Oct 20 05:47:12 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Portfolio management; Data processing",
}
@Book{Seefeld:2005:RB,
author = "Kim Seefeld and Ernst Linder",
title = "{R} for Bioinformatics",
publisher = pub-ORA-MEDIA,
address = pub-ORA-MEDIA:adr,
pages = "320 (est.)",
year = "2005",
ISBN = "0-596-00544-X",
ISBN-13 = "978-0-596-00544-3",
LCCN = "????",
bibdate = "Mon Jul 04 16:50:00 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Smith:2005:JES,
author = "Christina D. Smith and Jeffrey S. Pontius",
title = "Jackknife Estimator of Species Richness with
{S-PLUS}",
journal = j-J-STAT-SOFT,
volume = "15",
number = "3",
pages = "1--12",
month = dec,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i03",
abstract = "An estimate of the number of species, $S$, usually
called species richness by ecologists, in an area is
one of the basic statistics used to ascertain
biological diversity. Traditionally ecologists have
used the number of species observed in a sample, $
S_0$, to estimate $S$, realizing that $ S_0$ is a lower
bound for $S$. One alternative to $ S_0$ is to use a
nonparametric procedure such as jackknife resampling.
For species richness, a closed form of the jackknife
estimator is available. Typically statistical software
contains only the traditional iterative form of the
jackknife estimator. The purpose of this article is to
propose an S-PLUS function for calculating the
noniterative first order jackknife estimator of species
richness and some associated plots and statistics.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2004-09-30; Accepted 2005-12-05",
}
@Article{Stare:2005:BRS,
author = "Janez Stare",
title = "Book Review: 3. {{\booktitle{Survival analysis using
S: Analysis of time to event data}}. Mara Tableman and
Jong Sung Kim with a contribution from Stephen Portnoy,
Chapman and Hall\slash CRC, Boca Raton, 2004. No. of
pages: xv + 280. Price: \$69.95. ISBN 1-58488-408-8}",
journal = j-STAT-MED,
volume = "24",
number = "2",
pages = "327--328",
day = "30",
month = jan,
year = "2005",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.1983",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:38 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "05 January 2005",
}
@Article{Stoll:2005:WRS,
author = "Heather Stoll and Gary King and Langche Zeng",
title = "{WhatIf}: {R} Software for Evaluating
Counterfactuals",
journal = j-J-STAT-SOFT,
volume = "15",
number = "4",
pages = "1--18",
month = dec,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i04",
abstract = "WhatIf is an R package that implements the methods for
evaluating counterfactuals introduced in King and Zeng
(2006a) and King and Zeng (2006b). It offers
easy-to-use techniques for assessing a counterfactual's
model dependence without having to conduct sensitivity
testing over specified classes of models. These same
methods can be used to approximate the common support
of the treatment and control groups in causal
inference.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-11-09; Accepted 2005-12-10",
}
@Article{Sturtz:2005:RPR,
author = "Sibylle Sturtz and Uwe Ligges and Andrew Gelman",
title = "{{\tt R2WinBUGS}}: a Package for Running {WinBUGS}
from {R}",
journal = j-J-STAT-SOFT,
volume = "12",
number = "3",
pages = "1--16",
month = "????",
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=110&url=v12/i03&ct=2;
http://www.jstatsoft.org/counter.php?id=110&url=v12/i03/v12i03.pdf&ct=1",
accepted = "2005-01-07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
submitted = "2005-01-07",
}
@Article{Terpstra:2005:RBA,
author = "Jeff T. Terpstra and Joseph W. McKean",
title = "Rank-Based Analysis of Linear Models Using {R}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "7",
pages = "1--26",
day = "1",
month = jul,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Dec 12 11:09:58 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=132&url=v14/i07&ct=2;
http://www.jstatsoft.org/counter.php?id=132&url=v14/i07/v14i07.pdf&ct=1",
abstract = "It is well-known that Wilcoxon procedures out perform
least squares procedures when the data deviate from
normality and/or contain outliers. These procedures can
be generalized by introducing weights; yielding
so-called weighted Wilcoxon (WW) techniques. In this
paper we demonstrate how WW-estimates can be calculated
using an L1 regression routine. More importantly, we
present a collection of functions that can be used to
implement a robust analysis of a linear model based on
WW-estimates. For instance, estimation, tests of linear
hypotheses, residual analyses, and diagnostics to
detect differences in fits for various weighting
schemes are discussed. We analyze a regression model,
designed experiment, and autoregressive time series
model for the sake of illustration. We have chosen to
implement the suite of functions using the R
statistical software package. Because R is freely
available and runs on multiple platforms, WW-estimation
and associated inference is now universally
accessible.",
accepted = "2005-07-01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "estimation; inference; linear models; R functions;
rank-based procedures; robust; weighted Wilcoxon
estimates",
submitted = "2004-04-06",
}
@Article{Tusell:2005:BRB,
author = "Fernando Tusell",
title = "Book Review: {{\booktitle{Linear Models with R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "168",
number = "3",
pages = "632--632",
month = jul,
year = "2005",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2005.00368_5.x;
https://doi.org/10.2307/3559846",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:14 MST 2015",
bibsource = "http://www.jstor.org/stable/i369614;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/3559846",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "9 Jun 2005",
}
@Article{Utlaut:2005:BRB,
author = "Theresa L. Utlaut",
title = "Book Review: {{\booktitle{Statistical Analysis and
Data Display: An Intermediate Course with Examples in
S-PLUS. R, and SAS}} by Richard M. Heiberger; Burt
Holland}",
journal = j-TECHNOMETRICS,
volume = "47",
number = "3",
pages = "371--371",
month = aug,
year = "2005",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471029",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:06 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471016;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471029",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Verzani:2005:URI,
author = "John Verzani",
title = "Using {R} for introductory statistics",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xvi + 414",
year = "2005",
ISBN = "1-58488-450-9",
ISBN-13 = "978-1-58488-450-7",
LCCN = "QA276.4 .V47 2005",
bibdate = "Mon Jul 4 16:32:30 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; R (Computer program
language)",
}
@Article{Woodward:2005:BBC,
author = "Phil Woodward",
title = "{BugsXLA}: {Bayes} for the {Common Man}",
journal = j-J-STAT-SOFT,
volume = "14",
number = "5",
pages = "1--18",
day = "31",
month = jan,
year = "2005",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed May 18 11:18:51 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/counter.php?id=130&url=v14/i05&ct=2;
http://www.jstatsoft.org/counter.php?id=130&url=v14/i05/v14i05.pdf&ct=1",
abstract = "The absence of user-friendly software has long been a
major obstacle to the routine application of Bayesian
methods in business and industry. It will only be
through widespread application of the Bayesian approach
to real problems that issues, such as the use of prior
distributions, can be practically resolved in the same
way that the choice of significance levels has been in
the classical approach; although most Bayesians would
hope for a much more satisfactory resolution. It is
only relatively recently that any general purpose
Bayesian software has been available; by far the most
widely used such package is {\tt WinBUGS}. Although
this software has been designed to enable an extremely
wide variety of models to be coded relatively easily,
it is unlikely that many will bother to learn the
language and its nuances unless they are already highly
motivated to try Bayesian methods. This paper describes
a graphical user interface, programmed by the author,
which facilitates the specification of a wide class of
generalised linear mixed models for analysis using
WinBUGS. The program, BugsXLA (v2.1), is an Excel
Add-In that not only allows the user to specify a model
as one would in a package such as SAS or S-PLUS, but
also aids the specification of priors and control of
the MCMC run itself. Inevitably, developing a program
such as this forces one to think again about such
issues as choice of default priors, parameterisation
and assessing convergence. I have tried to adopt
currently perceived good practices, but mainly share my
approach so that others can apply it and, through
constructive criticism, play a small part in the
ultimate development of the first Bayesian software
package truly usable by the average data analyst.",
accepted = "2005-01-31",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
keywords = "Bayesian analysis; GLMM; graphical user interface;
Microsoft Excel; WinBUGS",
submitted = "2005-01-31",
}
@Article{Ziegel:2005:BRBb,
author = "Eric R. Ziegel",
title = "Book Review: {{\booktitle{Statistical Analysis of
Financial Data in S-PLUS}} by Ren{\'e} A. Carmona}",
journal = j-TECHNOMETRICS,
volume = "47",
number = "2",
pages = "242--243",
month = may,
year = "2005",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471002",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:05 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25470971;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471002",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Zivot:2005:MFT,
author = "Eric Zivot",
title = "Modeling financial time series with {S-Plus}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "????",
year = "2005",
ISBN = "0-387-27965-2",
ISBN-13 = "978-0-387-27965-7",
bibdate = "Thu Oct 20 05:47:17 MDT 2005",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
}
@Article{Anonymous:2006:BBP,
author = "Anonymous",
title = "{{\booktitle{The Basics of S-PLUS}} by Andreas Krause;
Melvin Olson}",
journal = j-TECHNOMETRICS,
volume = "48",
number = "2",
pages = "314--314",
month = may,
year = "2006",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471184",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:10 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471152;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471184",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2006:BRBam,
author = "Anonymous",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analysis Using R}} by Brian Everitt; Torster
Northorn}",
journal = j-TECHNOMETRICS,
volume = "48",
number = "4",
pages = "577--577",
month = nov,
year = "2006",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471266",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:14 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471234;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471266",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2006:BRHa,
author = "Anonymous",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using R}}, Edited by Everitt, B. S. and
Hothorn, T.}",
journal = j-BIOMETRICS,
volume = "62",
number = "4",
pages = "1279--1279",
month = dec,
year = "2006",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2006.00596_14.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:10 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "06 December 2006",
}
@Article{Anonymous:2006:BRU,
author = "Anonymous",
title = "Book Reviews: {{\booktitle{Using R for Introductory
Statistics}}, by J. Verzani and \booktitle{An R and
S-Plus Companion to Multivariate Analysis} by B. S.
Everitt}",
journal = j-BIOMETRICS,
volume = "62",
number = "1",
pages = "311--311",
month = mar,
year = "2006",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2006.00540_13.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:08 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "12 August 2009",
}
@Article{Bullard:2006:BRB,
author = "James Bullard",
title = "Book Review: {{\booktitle{R Graphics}}}",
journal = j-J-STAT-SOFT,
volume = "16",
number = "BR-7",
pages = "1--3",
month = oct,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/b07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-11; Accepted 2006-10-11",
}
@Article{Calenge:2006:PPA,
author = "Cl{\'e}ment Calenge",
title = "The package ``\pkg{adehabitat}'' for the {R} software:
a tool for the analysis of space and habitat use by
animals",
journal = j-ECOL-MODELL,
volume = "197",
number = "3--4",
pages = "516--519",
day = "25",
month = aug,
year = "2006",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2006.03.017",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Fri Nov 12 08:34:44 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380006001414",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.sciencedirect.com/journal/ecological-modelling",
}
@Article{Culp:2006:ARP,
author = "Mark Culp and Kjell Johnson and George Michailides",
title = "{\tt ada}: An {R} Package for Stochastic Boosting",
journal = j-J-STAT-SOFT,
volume = "17",
number = "2",
pages = "1--27",
month = sep,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v17/i02",
abstract = "Boosting is an iterative algorithm that combines
simple classification rules with ``mediocre''
performance in terms of misclassification error rate to
produce a highly accurate classification rule.
Stochastic gradient boosting provides an enhancement
which incorporates a random mechanism at each boosting
step showing an improvement in performance and speed in
generating the ensemble. {\tt ada} is an R package that
implements three popular variants of boosting, together
with a version of stochastic gradient boosting. In
addition, useful plots for data analytic purposes are
provided along with an extension to the multi-class
case. The algorithms are illustrated with synthetic and
real data sets.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-07-13; Accepted 2007-07-13",
}
@Article{deLeeuw:2006:BRB,
author = "Jan de Leeuw",
title = "Book Review: {{\booktitle{Robust Statistical Methods
with R}}}",
journal = j-J-STAT-SOFT,
volume = "16",
number = "BR-2",
pages = "1--2",
month = jul,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-07-07; Accepted 2006-07-07",
}
@Article{Dethlefsen:2006:FSS,
author = "Claus Dethlefsen and S{\o}ren Lundbye-Christensen",
title = "Formulating State Space Models in {R} with Focus on
Longitudinal Regression Models",
journal = j-J-STAT-SOFT,
volume = "16",
number = "1",
pages = "1--15",
month = apr,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/i01",
abstract = "We provide a language for formulating a range of state
space models with response densities within the
exponential family. The described methodology is
implemented in the R-package sspir. A state space model
is specified similarly to a generalized linear model in
R, and then the time-varying terms are marked in the
formula. Special functions for specifying polynomial
time trends, harmonic seasonal patterns, unstructured
seasonal patterns and time-varying covariates can be
used in the formula. The model is fitted to data using
iterated extended Kalman filtering, but the formulation
of models does not depend on the implemented method of
inference. The package is demonstrated on three
datasets.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-05-25; Accepted 2006-04-26",
}
@Article{Dialsingh:2006:BRBc,
author = "Isaac Dialsingh",
title = "Book Review: {{\booktitle{Statistical Analysis of
Financial Data in S-Plus}}, by R. A. Carmona}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "169",
number = "4",
pages = "1004--1005",
month = oct,
year = "2006",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2006.00446_3.x;
https://doi.org/10.2307/3877409",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:14 MST 2015",
bibsource = "http://www.jstor.org/stable/i371778;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/3877409",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "18 Sep 2006",
}
@Article{Dinov:2006:SSO,
author = "Ivo D. Dinov",
title = "{SOCR}: Statistics Online Computational Resource",
journal = j-J-STAT-SOFT,
volume = "16",
number = "11",
pages = "1--16",
month = oct,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/i11",
abstract = "The need for hands-on computer laboratory experience
in undergraduate and graduate statistics education has
been firmly established in the past decade. As a result
a number of attempts have been undertaken to develop
novel approaches for problem-driven statistical
thinking, data analysis and result interpretation. In
this paper we describe an integrated educational
web-based framework for: interactive distribution
modeling, virtual online probability experimentation,
statistical data analysis, visualization and
integration. Following years of experience in
statistical teaching at all college levels using
established licensed statistical software packages,
like STATA, S-PLUS, R, SPSS, SAS, Systat, etc., we have
attempted to engineer a new statistics education
environment, the Statistics Online Computational
Resource (SOCR). This resource performs many of the
standard types of statistical analysis, much like other
classical tools. In addition, it is designed in a
plug-in object-oriented architecture and is completely
platform independent, web-based, interactive,
extensible and secure. Over the past 4 years we have
tested, fine-tuned and reanalyzed the SOCR framework in
many of our undergraduate and graduate probability and
statistics courses and have evidence that SOCR
resources build student's intuition and enhance their
learning.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-07-01; Accepted 2006-10-01",
}
@Article{Doerge:2006:BRB,
author = "R. W. Doerge",
title = "Book Review: {{\booktitle{Bioinformatics and
Computational Biology Solutions Using R and
Bioconductor}}, edited by Gentleman, R., Carey, V.,
Huber, W., Irizarry, R., and Dudoit, S.}",
journal = j-BIOMETRICS,
volume = "62",
number = "4",
pages = "1270--1271",
month = dec,
year = "2006",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2006.00596_2.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:10 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "06 December 2006",
}
@Book{Everitt:2006:HSA,
author = "Brian Everitt and Torsten Hothorn",
title = "A Handbook of Statistical Analyses Using {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xvi + 275",
year = "2006",
ISBN = "1-58488-539-4",
ISBN-13 = "978-1-58488-539-9",
LCCN = "QA276.45.R3 E94 2006",
bibdate = "Sat Jun 13 09:37:41 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0648/2005056944-d.html;
http://www.loc.gov/catdir/toc/fy0608/2005056944.html",
acknowledgement = ack-nhfb,
subject = "mathematical statistics; data processing; handbooks,
manuals, etc; R (computer programming language)",
}
@Book{Faraway:2006:ELM,
author = "Julian James Faraway",
title = "Extending the Linear Model with {R}: Generalized
Linear, Mixed Effects and Nonparametric Regression
Models",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "ix + 301",
year = "2006",
ISBN = "1-58488-424-X",
ISBN-13 = "978-1-58488-424-8",
LCCN = "QA279 .F368 2006",
bibdate = "Sat Jun 27 08:33:07 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
URL = "http://www.loc.gov/catdir/enhancements/fy0646/2005054822-d.html",
acknowledgement = ack-nhfb,
subject = "Analysis of variance; Regression analysis; R (Computer
program language); Mathematical models",
}
@Article{Fischer:2006:BRZ,
author = "Matthias Fischer",
title = "Book Review: {Zivot Eric and Jiahui Wang,
\booktitle{Modeling Financial Time Series with
S-PLUS}}",
journal = j-ASTA-ADV-STAT-ANAL,
volume = "90",
number = "4",
pages = "631--632",
month = dec,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1007/s10182-006-0013-y",
ISSN = "1863-8171 (print), 1863-818X (electronic)",
ISSN-L = "1863-8171",
bibdate = "Thu Feb 5 09:35:35 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/asta.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s10182-006-0013-y",
acknowledgement = ack-nhfb,
fjournal = "AStA. Advances in Statistical Analysis",
journal-URL = "http://link.springer.com/journal/10182",
}
@Article{Gunter:2006:BRB,
author = "Berton H. Gunter",
title = "Book Review: {{\booktitle{R Graphics}} by Paul
Murrell}",
journal = j-TECHNOMETRICS,
volume = "48",
number = "2",
pages = "308--309",
month = may,
year = "2006",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471176",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:10 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471152;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471176",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Hankin:2006:CSA,
author = "Robin K. S. Hankin",
title = "Code Snippet: Additive Integer Partitions in {R}",
journal = j-J-STAT-SOFT,
volume = "16",
number = "CS-1",
pages = "1--3",
month = may,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-04-27; Accepted 2006-05-17",
}
@Article{Hankin:2006:IER,
author = "Robin K. S. Hankin",
title = "Introducing {\tt elliptic}, an {R} Package for
Elliptic and Modular Functions",
journal = j-J-STAT-SOFT,
volume = "15",
number = "7",
pages = "1--22",
month = jan,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i07",
abstract = "This paper introduces the {\tt elliptic} package of R
routines, for numerical calculation of elliptic and
related functions. Elliptic functions furnish
interesting and instructive examples of many ideas of
complex analysis, and the package illustrates these
numerically and visually. A statistical application in
fluid mechanics is presented.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-07-13; Accepted 2006-01-18",
}
@Article{Hardin:2006:IST,
author = "Jo Hardin",
title = "Introduction to Statistics Through Resampling Methods
and {R\slash S-PLUS}",
journal = j-AMER-STAT,
volume = "60",
number = "4",
pages = "343--344",
month = nov,
year = "2006",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2006.s61",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:27 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Hilbe:2006:BRB,
author = "Joseph Hilbe",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using R}}}",
journal = j-J-STAT-SOFT,
volume = "16",
number = "BR-6",
pages = "1--6",
month = aug,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/b06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-08-12; Accepted 2006-08-12",
}
@Book{Jureckova:2006:RSM,
author = "Jana Jure{\v{c}}kov{\'a} and Jan Picek",
title = "Robust statistical methods with {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xi + 193",
year = "2006",
ISBN = "1-58488-454-1",
ISBN-13 = "978-1-58488-454-5",
LCCN = "QA276 .J868 2006",
bibdate = "Thu Jul 10 08:17:35 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0646/2005053192-d.html",
acknowledgement = ack-nhfb,
author-dates = "1940--",
subject = "Robust statistics; R (Computer program language);
Statistical methods",
}
@Article{Karatzoglou:2006:SVM,
author = "Alexandros Karatzoglou and David Meyer and Kurt
Hornik",
title = "Support Vector Machines in {R}",
journal = j-J-STAT-SOFT,
volume = "15",
number = "9",
pages = "1--28",
month = apr,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i09",
abstract = "Being among the most popular and efficient
classification and regression methods currently
available, implementations of support vector machines
exist in almost every popular programming language.
Currently four R packages contain SVM related software.
The purpose of this paper is to present and compare
these implementations.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-10-24; Accepted 2006-04-06",
}
@Article{Kim:2006:CRP,
author = "Donghoh Kim and Hee-Seok Oh",
title = "{CVTresh}: {R} Package for Level-Dependent
Cross-Validation Thresholding",
journal = j-J-STAT-SOFT,
volume = "15",
number = "10",
pages = "1--13",
month = apr,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i10",
abstract = "The core of the wavelet approach to nonparametric
regression is thresholding of wavelet coefficients.
This paper reviews a cross-validation method for the
selection of the thresholding value in wavelet
shrinkage of Oh, Kim, and Lee (2006), and introduces
the R package CVThresh implementing details of the
calculations for the procedures.\par
This procedure is implemented by coupling a
conventional cross-validation with a fast imputation
method, so that it overcomes a limitation of data
length, a power of 2. It can be easily applied to the
classical leave-one-out cross-validation and K-fold
cross-validation. Since the procedure is
computationally fast, a level-dependent
cross-validation can be developed for wavelet shrinkage
of data with various sparseness according to levels.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-08-22; Accepted 2006-04-08",
}
@Article{Lund:2006:BRB,
author = "Ulric J. Lund",
title = "Book Review: {{\booktitle{An R and S-Plus{\reg}
Companion to Multivariate Analysis}}, by Brian S.
Everitt}",
journal = j-J-AM-STAT-ASSOC,
volume = "101",
number = "474",
pages = "857--858",
month = jun,
year = "2006",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1198/jasa.2006.s114",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Wed Jan 25 08:06:33 MST 2012",
bibsource = "http://www.amstat.org/publications/jasa/;
http://www.jstor.org/journals/01621459.html;
http://www.jstor.org/stable/i27590703;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27590760",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Maindonald:2006:BRB,
author = "John Maindonald",
title = "Book Review: {{\booktitle{Generalized Additive Models:
An Introduction with R}}}",
journal = j-J-STAT-SOFT,
volume = "16",
number = "BR-3",
pages = "1--2",
month = jul,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-07-12; Accepted 2006-07-12",
}
@Article{Marchetti:2006:IIG,
author = "Giovanni M. Marchetti",
title = "Independencies Induced from a Graphical {Markov} Model
After Marginalization and Conditioning: The {R} Package
{\tt ggm}",
journal = j-J-STAT-SOFT,
volume = "15",
number = "6",
pages = "1--15",
month = feb,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i06",
abstract = "We describe some functions in the R package {\tt ggm}
to derive from a given Markov model, represented by a
directed acyclic graph, different types of graphs
induced after marginalizing over and conditioning on
some of the variables. The package has a few basic
functions that find the essential graph, the induced
concentration and covariance graphs, and several types
of chain graphs implied by the directed acyclic graph
(DAG) after grouping and reordering the variables.
These functions can be useful to explore the impact of
latent variables or of selection effects on a chosen
data generating model.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-06-21; Accepted 2006-02-08",
}
@Article{Mineo:2006:URP,
author = "Angelo Mineo and Alfredo Pontillo",
title = "Using {R} via {PHP} for Teaching Purposes: {R-php}",
journal = j-J-STAT-SOFT,
volume = "17",
number = "4",
pages = "1--20",
month = oct,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v17/i04",
abstract = "This paper deals with the R-php statistical software,
that is an environment for statistical analysis, freely
accessible and attainable through the World Wide Web,
based on R. Indeed, this software uses, as ``engine''
for statistical analyses, R via PHP and its design has
been inspired by a paper of de Leeuw (1997). R-php is
based on two modules: a base module and a
point-and-click module. R-php base allows the simple
editing of R code in a form. R-php point-and-click
allows some statistical analyses by means of a
graphical user interface (GUI): then, to use this
module it is not necessary for the user to know the R
environment, but all the allowed analyses can be
performed by using the computer mouse. We think that
this tool could be particularly useful for teaching
purposes: one possible use could be in a University
computer laboratory to permit a smooth approach of
students to R.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2004-09-04; Accepted 2006-10-20",
}
@Book{Murrell:2006:RG,
author = "Paul Murrell",
title = "{R} Graphics",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xix + 301",
year = "2006",
ISBN = "1-4200-3502-9 (electronic), 0-8493-1622-7,
1-58488-486-X",
ISBN-13 = "978-1-4200-3502-5 (electronic), 978-0-8493-1622-7,
978-1-58488-486-6",
LCCN = "T385 .M9 2006",
bibdate = "Sat Jun 13 09:30:24 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
library.mit.edu:9909/mit01",
series = "Computer science and data analysis series",
URL = "http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=155642",
acknowledgement = ack-nhfb,
subject = "Computer graphics; R (Computer programming language)",
}
@Article{Nadarajah:2006:CSR,
author = "Saralees Nadarajah and Samuel Kotz",
title = "Code Snippet: {R} Programs for Truncated
Distributions",
journal = j-J-STAT-SOFT,
volume = "16",
number = "CS-2",
pages = "1--8",
month = aug,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-06-06; Accepted 2006-08-17",
}
@Article{Ng:2006:BRB,
author = "H. K. Tony Ng",
title = "Book Review: {{\booktitle{Statistics: An Introduction
Using R}} by Michael J. Crawley}",
journal = j-TECHNOMETRICS,
volume = "48",
number = "2",
pages = "308--308",
month = may,
year = "2006",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471175",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:10 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471152;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471175",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Paradis:2006:APE,
author = "Emmanuel Paradis",
title = "Analysis of phylogenetics and evolution with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xii + 211",
year = "2006",
ISBN = "0-387-32914-5 (paperback), 1-4614-1743-0 (e-book)",
ISBN-13 = "978-0-387-32914-7 (paperback), 978-1-4614-1743-9
(e-book)",
LCCN = "QH83 .P37 2006",
bibdate = "Thu Jul 10 12:14:05 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy0824/2006923823-d.html;
http://www.loc.gov/catdir/toc/fy0703/2006923823.html",
abstract = "The increasing availability of molecular and genetic
databases coupled with the growing power of computers
gives biologists opportunities to address new issues,
such as the patterns of molecular evolution, and
re-assess old ones, such as the role of adaptation in
species diversification. In the second edition, the
book continues to integrate a wide variety of data
analysis methods into a single and flexible interface:
the R language. This open source language is available
for a wide range of computer systems and has been
adopted as a computational environment by many authors
of statistical software. Adopting R as a main tool for
phylogenetic analyses will ease the workflow in
biologists' data analyses, ensure greater scientific
repeatability, and enhance the exchange of ideas and
methodological developments. The second edition is
completed updated, covering the full gamut of R
packages for this area that have been introduced to the
market since its previous publication five years ago.
There is also a new chapter on the simulation of
evolutionary data. Graduate students and researchers in
evolutionary biology can use this book as a reference
for data analyses, whereas researchers in
bioinformatics interested in evolutionary analyses will
learn how to implement these methods in R. The book
starts with a presentation of different R packages and
gives a short introduction to R for phylogeneticists
unfamiliar with this language. The basic phylogenetic
topics are covered: manipulation of phylogenetic data,
phylogeny estimation, tree drawing, phylogenetic
comparative methods, and estimation of ancestral
characters. The chapter on tree drawing uses R's
powerful graphical environment. A section deals with
the analysis of diversification with phylogenies, one
of the author's favorite research topics. The last
chapter is devoted to the development of phylogenetic
methods with R and interfaces with other languages (C
and C++). Some exercises conclude these chapters.",
acknowledgement = ack-nhfb,
subject = "Cladistic analysis; Phylogeny; Methodology; R
(Computer program language)",
tableofcontents = "Introduction \\
First Steps in R for Phylogeneticists \\
Phylogenetic Data in R \\
Plotting Phylogenies \\
Phylogeny Estimation \\
Analysis of Macroevolution with Phylogenies \\
Simulating Phylogenies and Evolutionary Data \\
Developing and Implementing Phylogenetic Methods in R
\\
Short Course on Regular Expressions",
}
@Book{Pardoe:2006:ARM,
author = "Iain Pardoe",
title = "Applied regression modeling: a business approach",
publisher = pub-WILEY-INTERSCIENCE,
address = pub-WILEY-INTERSCIENCE:adr,
pages = "xx + 303",
year = "2006",
ISBN = "0-471-97033-6",
ISBN-13 = "978-0-471-97033-0",
LCCN = "QA278.2 .P363 2006",
bibdate = "Wed Sep 15 09:43:21 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0741/2006044262-b.html;
http://www.loc.gov/catdir/enhancements/fy0741/2006044262-d.html;
http://www.loc.gov/catdir/toc/fy0702/2006044262.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471970336.html",
acknowledgement = ack-nhfb,
keywords = "Minitab; R/S-Plus; SAS; SPSS",
subject = "regression analysis; statistics",
}
@Book{Pfaff:2006:AIC,
author = "Bernhard Pfaff",
title = "Analysis of integrated and cointegrated time series
with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xi + 139",
year = "2006",
ISBN = "0-387-27959-8, 0-387-27960-1 (e-book)",
ISBN-13 = "978-0-387-27959-6, 978-0-387-27960-2 (e-book)",
LCCN = "QA280 .P45 2006",
bibdate = "Thu Jul 10 08:36:02 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy0663/2005935027-d.html;
http://www.loc.gov/catdir/toc/fy0610/2005935027.html",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Computer programs; R (Computer
program language)",
}
@Article{Putt:2006:BRL,
author = "Mary E. Putt",
title = "Book Review: 2. {{\booktitle{Linear models with R}}.
Julian J. Faraway, Chapman and Hall\slash CRC, Boca
Raton, 2005. No of pages: x + 229. Price: \$69.95.
ISBN: 1-58488-425-8}",
journal = j-STAT-MED,
volume = "25",
number = "8",
pages = "1440--1441",
day = "30",
month = apr,
year = "2006",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.2286",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:46:49 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "29 March 2006",
}
@Article{Rizopoulos:2006:LRP,
author = "Dimitris Rizopoulos",
title = "{\tt ltm}: An {R} Package for Latent Variable Modeling
and Item Response Analysis",
journal = j-J-STAT-SOFT,
volume = "17",
number = "5",
pages = "1--25",
month = nov,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v17/i05",
abstract = "The R package {\tt ltm} has been developed for the
analysis of multivariate dichotomous and polytomous
data using latent variable models, under the Item
Response Theory approach. For dichotomous data the
Rasch, the Two-Parameter Logistic, and Birnbaum's
Three-Parameter models have been implemented, whereas
for polytomous data Semejima's Graded Response model is
available. Parameter estimates are obtained under
marginal maximum likelihood using the Gauss-Hermite
quadrature rule. The capabilities and features of the
package are illustrated using two real data examples.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-05-08; Accepted 2006-11-20",
}
@TechReport{Sartori:2006:SRL,
author = "Nicola Sartori",
title = "{Sweave $=$ R $ \cdot $ {\LaTeX}$^2$}",
type = "Technical report",
institution = "Universit{\`a} ``Ca' Foscari'' Venezia",
address = "Venice, Italy",
pages = "17",
day = "23",
month = nov,
year = "2006",
bibdate = "Sat Jul 5 19:11:39 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://stat.epfl.ch/webdav/site/stat/shared/Regression/EPFL-Sweave-powerdot.pdf",
acknowledgement = ack-nhfb,
}
@Article{Sauerbrei:2006:MRM,
author = "W. Sauerbrei and C. Meier-Hirmer and A. Benner and P.
Royston",
title = "Multivariable regression model building by using
fractional polynomials: Description of {SAS}, {STATA}
and {R} programs",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "50",
number = "12",
pages = "3464--3485",
month = aug,
year = "2006",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:41:44 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947305001623",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Shin:2006:CSL,
author = "Ji-Hyung Shin and Sigal Blay and Brad McNeney and
Jinko Graham",
title = "Code Snippet: {LDheatmap}: An {R} Function for
Graphical Display of Pairwise Linkage Disequilibria
Between Single Nucleotide Polymorphisms",
journal = j-J-STAT-SOFT,
volume = "16",
number = "CS-3",
pages = "1--9",
month = sep,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v16/c03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-05-15; Accepted 2006-09-20",
}
@Book{Shumway:2006:TSA,
author = "Robert H. Shumway and David S. Stoffer",
title = "Time series analysis and its applications: with {R}
examples",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xiii + 575",
year = "2006",
ISBN = "0-387-29317-5 (hardcover)",
ISBN-13 = "978-0-387-29317-2 (hardcover)",
LCCN = "QA280 .S585 2006",
bibdate = "Sat Jun 13 09:46:46 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy0663/2005935284-d.html;
http://www.loc.gov/catdir/toc/fy0704/2005935284.html",
acknowledgement = ack-nhfb,
subject = "Time-series analysis",
tableofcontents = "1. Characteristics of time series \\
2. Time series regression and exploratory data analysis
\\
3. ARIMA models \\
4. Spectral analysis and filtering \\
5. Additional time domain topics \\
6. State-space models \\
7. Statistical methods in the frequency domain \\
App. A. Large sample theory \\
App. B. Time domain theory \\
App. C. Spectral domain theory",
}
@Article{Smith:2006:BRB,
author = "Eric P. Smith",
title = "Book Review: {{\booktitle{Using R for Introductory
Statistics}} by John Verzani}",
journal = j-TECHNOMETRICS,
volume = "48",
number = "2",
pages = "307--308",
month = may,
year = "2006",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471174",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:10 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471152;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471174",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Tanimura:2006:PSM,
author = "Susumu Tanimura and Chusi Kuroiwa and Tsutomu Mizota",
title = "Proportional Symbol Mapping in {R}",
journal = j-J-STAT-SOFT,
volume = "15",
number = "5",
pages = "1--7",
month = jan,
year = "2006",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v15/i05",
abstract = "Visualization of spatial data on a map aids not only
in data exploration but also in communication to impart
spatial conception or ideas to others. Although recent
cartographic functions in R are rapidly becoming
richer, proportional symbol mapping, which is one of
the common mapping approaches, has not been packaged
thus far. Based on the theories of proportional symbol
mapping developed in cartography, the authors developed
some functions for proportional symbol mapping using R,
including mathematical and perceptual scaling. An
example of these functions demonstrated the new
expressive power and options available in R,
particularly for the visualization of conceptual point
data.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-10-02; Accepted 2006-01-24",
}
@Article{Wang:2006:BRE,
author = "Haiyan Wang",
title = "Book Review: {{\booktitle{Extending the Linear Model
with R: Generalized Linear, Mixed Effects and
Nonparametric Regression Models}}, Edited by Faraway J.
J.}",
journal = j-BIOMETRICS,
volume = "62",
number = "4",
pages = "1278--1278",
month = dec,
year = "2006",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2006.00596_12.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:10 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "06 December 2006",
}
@Book{Wood:2006:GAM,
author = "Simon N. Wood",
title = "Generalized Additive Models: an Introduction with
{R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xvii + 391",
year = "2006",
ISBN = "1-58488-474-6",
ISBN-13 = "978-1-58488-474-3",
LCCN = "QA274.73 .W66 2006",
bibdate = "Thu Jul 10 08:21:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Texts in statistical science",
URL = "http://www.loc.gov/catdir/enhancements/fy0702/2006040209-d.html",
acknowledgement = ack-nhfb,
subject = "Random walks (Mathematics); Linear models
(Statistics); R (Computer program language);
Mathematical models",
tableofcontents = "Linear models \\
Generalized linear models \\
Introducing GAM's \\
Some GAM theory \\
GAMs in practice: mgcv \\
Mixed models and GAMMs",
}
@Book{Albert:2007:BCR,
author = "Jim Albert",
title = "{Bayesian} computation with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "x + 267",
year = "2007",
ISBN = "0-387-71384-0 (paperback)",
ISBN-13 = "978-0-387-71384-7 (paperback)",
LCCN = "QA279.5 .A53 2007",
bibdate = "Fri Aug 25 06:22:16 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R",
URL = "http://www.loc.gov/catdir/enhancements/fy0824/2007929182-d.html;
http://www.loc.gov/catdir/enhancements/fy0824/2007929182-t.html",
acknowledgement = ack-nhfb,
author-dates = "1953--",
subject = "Bayesian statistical decision theory; Data processing;
R (Computer program language)",
}
@Article{Anderson-Cook:2007:BRBb,
author = "Christine M. Anderson-Cook",
title = "Book review: {{\booktitle{Generalized Additive Models:
An Introduction With R}}}",
journal = j-J-AM-STAT-ASSOC,
volume = "102",
number = "478",
pages = "760--761",
month = jun,
year = "2007",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1198/jasa.2007.s188",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Thu Aug 26 11:26:31 MDT 2010",
bibsource = "http://www.amstat.org/publications/jasa/;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Atman:2007:ATA,
author = "Micah Atman and Jeff Gill and Michael P. McDonald",
title = "{\tt accuracy}: Tools for Accurate and Reliable
Statistical Computing",
journal = j-J-STAT-SOFT,
volume = "21",
number = "1",
pages = "1--30",
month = jul,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v21/i01",
abstract = "Most empirical social scientists are surprised that
low-level numerical issues in software can have
deleterious effects on the estimation process.
Statistical analyses that appear to be perfectly
successful can be invalidated by concealed numerical
problems. We have developed a set of tools, contained
in {\tt accuracy}, a package for R and S-PLUS, to
diagnose problems stemming from numerical and
measurement error and to improve the accuracy of
inferences. The tools included in {\tt accuracy}
include a framework for gauging the computational
stability of model results, tools for comparing model
results, optimization diagnostics, and tools for
collecting entropy for true random numbers
generation.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-02-28; Accepted 2007-06-25",
}
@Article{Baier:2007:ECR,
author = "Thomas Baier and Erich Neuwirth",
title = "{Excel :: COM :: {\sf R}}",
journal = j-COMP-STAT,
volume = "22",
number = "1",
pages = "91--108",
month = apr,
year = "2007",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-007-0023-6",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-007-0023-6",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Baillargeon:2007:RLM,
author = "Sophie Baillargeon and Louis-Paul Rivest",
title = "{{\tt Rcapture}}: Loglinear Models for
Capture-Recapture in {R}",
journal = j-J-STAT-SOFT,
volume = "19",
number = "5",
pages = "1--31",
month = apr,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v19/i05",
abstract = "This article introduces {\tt Rcapture}, an R package
for capture-recapture experiments. The data for
analysis consists of the frequencies of the observable
capture histories over the t capture occasions of the
experiment. A capture history is a vector of zeros and
ones where one stands for a capture and zero for a
miss. {\tt Rcapture} can fit three types of models.
With a closed population model, the goal of the
analysis is to estimate the size N of the population
which is assumed to be constant throughout the
experiment. The estimator depends on the way in which
the capture probabilities of the animals vary. {\tt
Rcapture} features several models for these capture
probabilities that lead to different estimators for N.
In an open population model, immigration and death
occur between sampling periods. The estimation of
survival rates is of primary interest. {\tt Rcapture}
can fit the basic Cormack-Jolly-Seber and Jolly-Seber
model to such data. The third type of models fitted by
{\tt Rcapture} are robust design models. It features
two levels of sampling; closed population models apply
within primary periods and an open population model
applies between periods. Most models in {\tt Rcapture}
have a loglinear form; they are fitted by carrying out
a Poisson regression with the R function {\tt glm}.
Estimates of the demographic parameters of interest are
derived from the loglinear parameter estimates; their
variances are obtained by linearization. The novel
feature of this package is the provision of several new
options for modeling capture probabilities
heterogeneity between animals in both closed population
models and the primary periods of a robust design. It
also implements many of the techniques developed by R.
M. Cormack for open population models.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-07-12; Accepted 2007-04-03",
}
@Book{Bartoszynski:2007:PSI,
author = "Robert Bartoszy{\'n}ski and Magdalena
Niewiadomska-Bugaj",
title = "Probability and statistical inference",
publisher = pub-WILEY-INTERSCIENCE,
address = pub-WILEY-INTERSCIENCE:adr,
edition = "Second",
pages = "xii + 647",
year = "2007",
ISBN = "0-470-19158-9 (e-book)",
ISBN-13 = "978-0-470-19158-3 (e-book)",
LCCN = "QA273 .B2584 2007",
bibdate = "Wed Sep 15 09:42:15 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470191589.html",
acknowledgement = ack-nhfb,
remark = "Previous edition \cite{Bartoszynski:1996:PSI}.",
subject = "probabilities; mathematical statistics",
tableofcontents = "Preface \\
1. Experiments, Sample Spaces, and Events \\
2. Probability \\
3. Counting \\
4. Conditional Probability; Independence \\
5. Markov Chains \\
6. Random Variables: Univariate Case \\
7. Random Variables: Multivariate Case \\
8. Expectation \\
9. Selected Families of Distributions \\
10. Random Samples \\
11. Introduction to Statistical Inference \\
12. Estimation \\
13. Testing Statistical Hypotheses \\
14. Linear Models \\
15. Rank Methods \\
16. Analysis of Categorical Data \\
Statistical Tables \\
Bibliography \\
Answers to Odd-Numbered Problems \\
Index",
}
@Article{Bowman:2007:RSI,
author = "Adrian Bowman and Ewan Crawford and Gavin Alexander
and Richard W. Bowman",
title = "{\tt rpanel}: Simple Interactive Controls for {R}
Functions Using the {\tt tcltk} Package",
journal = j-J-STAT-SOFT,
volume = "17",
number = "9",
pages = "1--18",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v17/i09",
abstract = "In a variety of settings it is extremely helpful to be
able to apply R functions through buttons, sliders and
other types of graphical control. This is particularly
true in plotting activities where immediate
communication between such controls and a graphical
display allows the user to interact with a plot in a
very effective manner. The {\tt tcltk} package provides
extensive tools for this and the aim of the {\tt
rpanel} package is to provide simple and well
documented functions which make these facilities as
accessible as possible. In addition, the operations
which form the basis of communication within {\tt
tcltk} are managed in a way which allows users to write
functions with a more standard form of parameter
passing. This paper describes the basic design of the
software and illustrates it on a variety of examples of
interactive control of graphics. The {\tt tkrplot}
system is used to allow plots to be integrated with
controls into a single panel. An example of the use of
a graphical image, and the ability to interact with
this, is also discussed.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-08-29; Accepted 2007-01-01",
}
@Book{Braun:2007:FCS,
author = "John Braun and Duncan James Murdoch",
title = "A first course in statistical programming with {R}",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "x + 163",
year = "2007",
ISBN = "0-521-87265-0 (hardcover), 0-521-69424-8 (paperback)",
ISBN-13 = "978-0-521-87265-2 (hardcover), 978-0-521-69424-7
(paperback)",
LCCN = "QA276.45.R3 B73 2007",
bibdate = "Thu Jul 10 08:40:36 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0827/2008295814-b.html;
http://www.loc.gov/catdir/enhancements/fy0827/2008295814-d.html;
http://www.loc.gov/catdir/enhancements/fy0827/2008295814-t.html",
acknowledgement = ack-nhfb,
author-dates = "1963--",
subject = "R (Computer program language); Statistics; Data
processing",
tableofcontents = "1. Getting started \\
2. Introduction to the R language \\
3. Programming statistical graphics \\
4. Programming with R \\
5. Simulation \\
6. Computational linear algebra \\
7. Numerical optimization \\
Appendix. Review of random variables and distributions
\\
Index",
}
@Article{Brooms:2007:BRB,
author = "A. C. Brooms",
title = "Book Review: {{\booktitle{The Basics of S-PLUS}}, by
A. Krause; M. Olson}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "170",
number = "1",
pages = "256--257",
month = jan,
year = "2007",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2006.00455_8.x;
https://doi.org/10.2307/4623151",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:14 MST 2015",
bibsource = "http://www.jstor.org/stable/i411951;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/4623151",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "21 Dec 2006",
}
@Article{Burr:2007:BRB,
author = "Thomas L. Burr",
title = "Book Review: {{\booktitle{Modeling Financial Time
Series with S-Plus}} by Eric Zivot; Jiahui Wang}",
journal = j-TECHNOMETRICS,
volume = "49",
number = "1",
pages = "105--106",
month = feb,
year = "2007",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471290",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:15 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471268;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471290",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Chiang:2007:BRB,
author = "Alan Y. Chiang",
title = "Book Review: {{\booktitle{Generalized Additive Models:
An Introduction with R}} by Simon N. Wood}",
journal = j-TECHNOMETRICS,
volume = "49",
number = "3",
pages = "360--361",
month = aug,
year = "2007",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471358",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:17 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471341;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471358",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Cook:2007:IDG,
author = "Dianne Cook and Deborah F. Swayne",
title = "Interactive and Dynamic Graphics for Data Analysis:
with {R} and {GGobi}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "vii + 188",
year = "2007",
ISBN = "0-387-71761-7",
ISBN-13 = "978-0-387-71761-6",
LCCN = "QA276.3 .C66 2007",
bibdate = "Sat Jun 13 09:46:41 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy0825/2007925720-d.html;
http://www.loc.gov/catdir/enhancements/fy0825/2007925720-t.html",
acknowledgement = ack-nhfb,
remark = "Possible additional authors (absent from cover):
Andreas Buja and D. Temple Lang and H. Hofmann and H.
Wickham and M. Lawrence",
subject = "graphic methods; computer graphics; statistics;
visualization; congresses; R (Computer program
language)",
tableofcontents = "1. Introduction \\
2. The Toolbox \\
3. Missing Values \\
4. Supervised Classification \\
5. Cluster Analysis \\
6. Miscellaneous Topics \\
7. Datasets",
}
@Book{Crawley:2007:RB,
author = "Michael J. Crawley",
title = "The {R} book",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "viii + 942",
year = "2007",
ISBN = "0-470-51024-2, 0-470-51506-6 (e-book)",
ISBN-13 = "978-0-470-51024-7, 978-0-470-51506-8 (e-book)",
LCCN = "QA276.45.R3 C73 2007",
bibdate = "Sat Jun 13 08:44:02 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0741/2007296951-b.html;
http://www.loc.gov/catdir/enhancements/fy0741/2007296951-d.html;
http://www.loc.gov/catdir/toc/fy0713/2007296951.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470515066.html",
acknowledgement = ack-nhfb,
subject = "R (computer programming language); mathematical
statistics; data processing",
}
@Article{Davis:2007:BRBa,
author = "J. Wade Davis",
title = "Book review: {{\booktitle{Bioinformatics and
Computational Biology Solutions Using R and
Bioconductor}}}",
journal = j-J-AM-STAT-ASSOC,
volume = "102",
number = "477",
pages = "388--389",
month = mar,
year = "2007",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1198/jasa.2007.s179",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Thu Aug 26 11:26:31 MDT 2010",
bibsource = "http://www.amstat.org/publications/jasa/;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Duong:2007:KKD,
author = "Tarn Duong",
title = "{\tt ks}: Kernel Density Estimation and Kernel
Discriminant Analysis for Multivariate Data in {R}",
journal = j-J-STAT-SOFT,
volume = "21",
number = "7",
pages = "1--16",
month = oct,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v21/i07",
abstract = "Kernel smoothing is one of the most widely used
non-parametric data smoothing techniques. We introduce
a new R package {\tt ks} for multivariate kernel
smoothing. Currently it contains functionality for
kernel density estimation and kernel discriminant
analysis. It is a comprehensive package for bandwidth
matrix selection, implementing a wide range of
data-driven diagonal and unconstrained bandwidth
selectors.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-03-04; Accepted 2007-09-12",
}
@Article{Erdman:2007:BRP,
author = "Chandra Erdman and John W. Emerson",
title = "{\tt bcp}: An {R} Package for Performing a {Bayesian}
Analysis of Change Point Problems",
journal = j-J-STAT-SOFT,
volume = "23",
number = "3",
pages = "1--13",
month = dec,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i03",
abstract = "Barry and Hartigan (1993) propose a Bayesian analysis
for change point problems. We provide a brief summary
of selected work on change point problems, both
preceding and following Barry and Hartigan. We outline
Barry and Hartigan's approach and offer a new R
package, {\tt pkgbcp} (Erdman and Emerson 2007),
implementing their analysis. We discuss two frequentist
alternatives to the Bayesian analysis, the recursive
circular binary segmentation algorithm (Olshen and
Venkatraman 2004) and the dynamic programming algorithm
of (Bai and Perron 2003). We illustrate the application
of {\tt bcp} with economic and microarray data from the
literature.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-01-02; Accepted 2007-11-27",
}
@Article{Finley:2007:SRP,
author = "Andrew O. Finley and Sudipto Banerjee and Bradley P.
Carlin",
title = "{{\tt spBayes}}: An {R} Package for Univariate and
Multivariate Hierarchical Point-referenced Spatial
Models",
journal = j-J-STAT-SOFT,
volume = "19",
number = "4",
pages = "1--24",
month = apr,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v19/i04",
abstract = "Scientists and investigators in such diverse fields as
geological and environmental sciences, ecology,
forestry, disease mapping, and economics often
encounter spatially referenced data collected over a
fixed set of locations with coordinates
(latitude-longitude, Easting-Northing etc.) in a region
of study. Such point-referenced or geostatistical data
are often best analyzed with Bayesian hierarchical
models. Unfortunately, fitting such models involves
computationally intensive Markov chain Monte Carlo
(MCMC) methods whose efficiency depends upon the
specific problem at hand. This requires extensive
coding on the part of the user and the situation is not
helped by the lack of available software for such
algorithms. Here, we introduce a statistical software
package, {\tt spBayes}, built upon the R statistical
computing platform that implements a generalized
template encompassing a wide variety of Gaussian
spatial process models for univariate as well as
multivariate point-referenced data. We discuss the
algorithms behind our package and illustrate its use
with a synthetic and real data example.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-29; Accepted 2007-04-24",
}
@Article{Fotopoulos:2007:BRBb,
author = "Stergios B. Fotopoulos",
title = "Book Review: {{\booktitle{Modeling Financial Time
Series with S-PLUS}} by Eric Zivot; Jiahui Wang}",
journal = j-TECHNOMETRICS,
volume = "49",
number = "3",
pages = "360--360",
month = aug,
year = "2007",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471357",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:17 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471341;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471357",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Gramacy:2007:TRP,
author = "Robert B. Gramacy",
title = "{\tt tgp}: An {R} Package for {Bayesian}
Nonstationary, Semiparametric Nonlinear Regression and
Design by Treed {Gaussian} Process Models",
journal = j-J-STAT-SOFT,
volume = "19",
number = "9",
pages = "1--46",
month = jun,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v19/i09",
abstract = "The {\tt tgp} package for R is a tool for fully
Bayesian nonstationary, semiparametric nonlinear
regression and design by treed Gaussian processes with
jumps to the limiting linear model. Special cases also
implemented include Bayesian linear models, linear
CART, stationary separable and isotropic Gaussian
processes. In addition to inference and posterior
prediction, the package supports the (sequential)
design of experiments under these models paired with
several objective criteria. 1-d and 2-d plotting, with
higher dimension projection and slice capabilities, and
tree drawing functions (requiring maptree and combinat
packages), are also provided for visualization of {\tt
tgp} objects.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-07-12; Accepted 2007-06-13",
}
@Article{Grun:2007:FFM,
author = "Bettina Gr{\"u}n and Friedrich Leisch",
title = "Fitting finite mixtures of generalized linear
regressions in {R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "51",
number = "11",
pages = "5247--5252",
day = "15",
month = jul,
year = "2007",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:41:55 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947306002787",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Guha:2007:CIF,
author = "Rajarshi Guha",
title = "Chemical Informatics Functionality in {R}",
journal = j-J-STAT-SOFT,
volume = "18",
number = "5",
pages = "1--16",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i05",
abstract = "The flexibility and scope of the R programming
environment has made it a popular choice for
statistical modeling and scientific prototyping in a
number of fields. In the field of chemistry, R provides
several tools for a variety of problems related to
statistical modeling of chemical information. However,
one aspect common to these tools is that they do not
have direct access to the information that is available
from chemical structures, such as contained in
molecular descriptors.\par
We describe the rcdk package that provides the R user
with access to the CDK, a Java framework for
cheminformatics. As a result, it is possible to read in
a variety of molecular formats, calculate molecular
descriptors and evaluate fingerprints. In addition, we
describe the rpubchem that will allow access to the
data in PubChem, a public repository of molecular
structures and associated assay data for approximately
8 million compounds. Currently, the package allows
access to structural information as well as some simple
molecular properties from PubChem. In addition the
package allows access to bio-assay data from the
PubChem FTP servers.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-09-25; Accepted 2007-01-01",
}
@Article{Hankin:2007:CSS,
author = "Robin K. S. Hankin and Luke J. West",
title = "Code Snippet: Set Partitions in {R}",
journal = j-J-STAT-SOFT,
volume = "23",
number = "CS-2",
pages = "1--12",
month = dec,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-08-29; Accepted 2007-12-11",
}
@Article{Hankin:2007:CSU,
author = "Robin K. S. Hankin",
title = "Code Snippet: Urn Sampling Without Replacement:
Enumerative Combinatorics in {R}",
journal = j-J-STAT-SOFT,
volume = "17",
number = "CS-1",
pages = "1--6",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v17/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-08-22; Accepted 2007-01-03",
}
@Article{Hankin:2007:IUR,
author = "Robin K. S. Hankin",
title = "Introducing {\tt untb}, an {R} Package For Simulating
Ecological Drift Under the Unified Neutral Theory of
Biodiversity",
journal = j-J-STAT-SOFT,
volume = "22",
number = "12",
pages = "1--15",
month = sep,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v22/i12",
abstract = "The distribution of abundance amongst species with
similar ways of life is a classical problem in ecology.
The unified neutral theory of biodiversity, due to
Hubbell, states that observed population dynamics may
be explained on the assumption of per capita
equivalence amongst individuals. One can thus dispense
with differences between species, and differences
between abundant and rare species: all individuals
behave alike in respect of their probabilities of
reproducing and death. It is a striking fact that such
a parsimonious theory results in a non-trivial
dominance-diversity curve (that is, the simultaneous
existence of both abundant and rare species) and even
more striking that the theory predicts abundance curves
that match observations across a wide range of
ecologies. This paper introduces the {\tt untb} package
of R routines, for numerical simulation of ecological
drift under the unified neutral theory. A range of
visualization, analytical, and simulation tools are
provided in the package and these are presented with
examples in the paper.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-08-31; Accepted 2007-06-15",
}
@Article{Harvill:2007:BRB,
author = "Jane L. Harvill",
title = "Book review: {{\booktitle{Analysis of Integrated and
Co-Integrated Time Series With R}}}",
journal = j-J-AM-STAT-ASSOC,
volume = "102",
number = "477",
pages = "389--390",
month = mar,
year = "2007",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1198/jasa.2007.s181",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Thu Aug 26 11:26:31 MDT 2010",
bibsource = "http://www.amstat.org/publications/jasa/;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Heckler:2007:BRB,
author = "Charles E. Heckler",
title = "Book Review: {{\booktitle{Correspondence Analysis and
Data Coding with Java and R}} by Fionn Murtagh}",
journal = j-TECHNOMETRICS,
volume = "49",
number = "1",
pages = "100--100",
month = feb,
year = "2007",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471279",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:15 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471268;
https://www.math.utah.edu/pub/tex/bib/java2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471279",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Henningsen:2007:SPE,
author = "Arne Henningsen and Jeff D. Hamann",
title = "{\tt systemfit}: a Package for Estimating Systems of
Simultaneous Equations in {R}",
journal = j-J-STAT-SOFT,
volume = "23",
number = "4",
pages = "1--40",
month = dec,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i04",
abstract = "Many statistical analyses (e.g., in econometrics,
biostatistics and experimental design) are based on
models containing systems of structurally related
equations. The {\tt systemfit} package provides the
capability to estimate systems of linear equations
within the R programming environment. For instance,
this package can be used for ``ordinary least squares''
(OLS), ``seemingly unrelated regression'' (SUR), and
the instrumental variable (IV) methods ``two-stage
least squares'' (2SLS) and ``three-stage least
squares'' (3SLS), where SUR and 3SLS estimations can
optionally be iterated. Furthermore, the {\tt
systemfit} package provides tools for several
statistical tests. It has been tested on a variety of
datasets and its reliability is demonstrated.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-03-15; Accepted 2007-10-24",
}
@Article{Hohle:2007:RPM,
author = "Michael H{\"o}hle",
title = "\pkg{surveillance}: an {R} package for the monitoring
of infectious diseases",
journal = j-COMP-STAT,
volume = "22",
number = "4",
pages = "571--582",
month = dec,
year = "2007",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-007-0074-8",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:35 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-007-0074-8",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Hohle:2007:RRP,
author = "Michael H{\"o}hle and Ulrike Feldmann",
title = "{RLadyBug} --- an {R} package for stochastic epidemic
models",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "52",
number = "2",
pages = "680--686",
day = "15",
month = oct,
year = "2007",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:19 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947306004221",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Hojsgaard:2007:IGG,
author = "S{\o}ren H{\o}jsgaard and Steffen L. Lauritzen",
title = "Inference in Graphical {Gaussian} Models with Edge and
Vertex Symmetries with the {{\tt gRc}} Package for
{R}",
journal = j-J-STAT-SOFT,
volume = "23",
number = "6",
pages = "1--26",
month = dec,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i06",
abstract = "In this paper we present the R package {\tt gRc} for
statistical inference in graphical Gaussian models in
which symmetry restrictions have been imposed on the
concentration or partial correlation matrix. The models
are represented by coloured graphs where parameters
associated with edges or vertices of same colour are
restricted to being identical. We describe algorithms
for maximum likelihood estimation and discuss model
selection issues. The paper illustrates the practical
use of the {\tt gRc} package.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-09-20; Accepted 2007-09-06",
}
@Article{Houseman:2007:BRU,
author = "E. Andres Houseman",
title = "Book Review: {{\booktitle{Using R for introductory
statistics}}. John Verzani, Chapman and Hall\slash CRC,
Boca Raton, FL, 2005. No. of pages: xvi + 414. Price:
\$44.95. ISBN 1-58488-450-9}",
journal = j-STAT-MED,
volume = "26",
number = "11",
pages = "2431--2432",
day = "20",
month = may,
year = "2007",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.2735",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:47:00 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "05 April 2007",
}
@Article{Johnson:2007:MML,
author = "Matthew S. Johnson",
title = "Marginal Maximum Likelihood Estimation of Item
Response Models in {R}",
journal = j-J-STAT-SOFT,
volume = "20",
number = "10",
pages = "1--24",
month = feb,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v20/i10",
abstract = "Item response theory (IRT) models are a class of
statistical models used by researchers to describe the
response behaviors of individuals to a set of
categorically scored items. The most common IRT models
can be classified as generalized linear fixed- and/or
mixed-effect models. Although IRT models appear most
often in the psychological testing literature,
researchers in other fields have successfully utilized
IRT-like models in a wide variety of applications. This
paper discusses the three major methods of estimation
in IRT and develops R functions utilizing the built-in
capabilities of the R environment to find the marginal
maximum likelihood estimates of the generalized partial
credit model. The currently available R packages {\tt
ltm} is also discussed.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-01; Accepted 2007-02-22",
}
@Article{Jones:2007:DPC,
author = "James Holland Jones",
title = "{{\tt demogR}}: a Package for the Construction and
Analysis of Age-structured Demographic Models in {R}",
journal = j-J-STAT-SOFT,
volume = "22",
number = "10",
pages = "1--28",
month = sep,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v22/i10",
abstract = "The analysis of matrix population models has become a
fundamental tool in ecology, conservation biology, and
life history theory. In this paper, I present {\tt
demogR}, a package for analyzing age-structured
population models in R. The package includes tools for
the construction and analysis of matrix population
models. In addition to the standard analyses commonly
used in evolutionary demography and conservation
biology, {\tt demogR} contains a variety of tools from
classical demography. This includes the construction of
period life tables, and the generation of model
mortality and fertility schedules for human
populations. The tools in {\tt demogR} are generally
applicable to age-structured populations but are
particularly useful for analyzing problems in human
ecology. I illustrate some of the capabilities of the
package by doing an evolutionary demographic analysis
of several human populations.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-17; Accepted 2007-08-28",
}
@Article{Kirchner:2007:ARP,
author = "Marc Kirchner and Benjamin Saussen and Hanno Steen and
Judith A. J. Steen and Fred A. Hamprecht",
title = "{\tt amsrpm}: Robust Point Matching for Retention Time
Alignment of {LC\slash MS} Data with {R}",
journal = j-J-STAT-SOFT,
volume = "18",
number = "4",
pages = "1--12",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i04",
abstract = "Proteomics is the study of the abundance, function and
dynamics of all proteins present in a living organism,
and mass spectrometry (MS) has become its most
important tool due to its unmatched sensitivity,
resolution and potential for high-throughput
experimentation. A frequently used variant of mass
spectrometry is coupled with liquid chromatography (LC)
and is denoted as ``LC/MS''. It produces
two-dimensional raw data, where significant distortions
along one of the dimensions can occur between different
runs on the same instrument, and between instruments. A
compensation of these distortions is required to allow
for comparisons between and inference based on
different experiments. This article introduces the {\tt
amsrpm} software package. It implements a variant of
the Robust Point Matching (RPM) algorithm that is
tailored for the alignment of LC and LC/MS experiments.
Problem-specific enhancements include a specialized
dissimilarity measure, and means to enforce smoothness
and monotonicity of the estimated transformation
function. The algorithm does not rely on pre-specified
landmarks, it is insensitive towards outliers and
capable of modeling nonlinear distortions. Its
usefulness is demonstrated using both simulated and
experimental data. The software is available as an open
source package for the statistical programming language
R.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-09-30; Accepted 2007-07-19",
}
@Article{Krastev:2007:SSS,
author = "Theodor Krastev",
title = "{\tt spectrino} Software: Spectra Visualization and
Preparation for {R}",
journal = j-J-STAT-SOFT,
volume = "18",
number = "10",
pages = "1--16",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i10",
abstract = "{\tt spectrino} is a spectra preparation software
utility for the R language and environment for
statistical computing. It is an operating-system
specific tool, for use under Microsoft Windows, with
specialized visualization, organization and
preprocessing features for spectra. The software
accepts spectral data from analytical instruments and
then prepares a data structure to be introduced in R.
{\tt spectrino} has a rich set of features to create
data structures and visually manipulate/compare
spectra. The application is accessible by a library of
functions from within R. These commands allow for the
creation and manipulation of data structures in {\tt
spectrino} and the selective extraction of spectral
data. Before exporting, the spectra are preprocessed
according the requirements of consecutive discriminant
analysis. This preprocessing is adjustable by a series
of options.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-01; Accepted 2007-01-10",
}
@Article{Kumar:2007:BRB,
author = "Kuldeep Kumar",
title = "Book Review: {{\booktitle{Modelling Financial Time
Series with S-PLUS}}, by E. Zivot; J. Wang}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "170",
number = "4",
pages = "1189--1190",
month = oct,
year = "2007",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2007.00506_20.x;
https://doi.org/10.2307/4623247",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:14 MST 2015",
bibsource = "http://www.jstor.org/stable/i411947;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/4623247",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "26 Sep 2007",
}
@Article{Lund:2007:BRBa,
author = "Ulric J. Lund",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using R}}}",
journal = j-AMER-STAT,
volume = "61",
number = "3",
pages = "277--278",
month = aug,
year = "2007",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2007.s93",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:27 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Lund:2007:BRBb,
author = "Robert Lund",
title = "Book review: {{\booktitle{Time Series Analysis and Its
Applications: With R Examples}}}",
journal = j-J-AM-STAT-ASSOC,
volume = "102",
number = "479",
pages = "1079--1079",
month = sep,
year = "2007",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1198/jasa.2007.s209",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Thu Aug 26 11:26:31 MDT 2010",
bibsource = "http://www.amstat.org/publications/jasa/;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{Machler:2007:SIU,
author = "Martin M{\"a}chler",
title = "Statistics: An Introduction using {R}",
journal = j-AMER-STAT,
volume = "61",
number = "1",
pages = "100--101",
month = feb,
year = "2007",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2007.s73",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:27 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Mair:2007:ERM,
author = "Patrick Mair and Reinhold Hatzinger",
title = "Extended {Rasch} Modeling: The {{\tt eRm}} Package for
the Application of {IRT} Models in {R}",
journal = j-J-STAT-SOFT,
volume = "20",
number = "9",
pages = "1--20",
month = feb,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v20/i09",
abstract = "Item response theory models (IRT) are increasingly
becoming established in social science research,
particularly in the analysis of performance or
attitudinal data in psychology, education, medicine,
marketing and other fields where testing is relevant.
We propose the R package {\tt eRm} (extended Rasch
modeling) for computing Rasch models and several
extensions. A main characteristic of some IRT models,
the Rasch model being the most prominent, concerns the
separation of two kinds of parameters, one that
describes qualities of the subject under investigation,
and the other relates to qualities of the situation
under which the response of a subject is observed.
Using conditional maximum likelihood (CML) estimation
both types of parameters may be estimated independently
from each other. IRT models are well suited to cope
with dichotomous and polytomous responses, where the
response categories may be unordered as well as
ordered. The incorporation of linear structures allows
for modeling the effects of covariates and enables the
analysis of repeated categorical measurements. The {\tt
eRm} package fits the following models: the Rasch
model, the rating scale model (RSM), and the partial
credit model (PCM) as well as linear
reparameterizations through covariate structures like
the linear logistic test model (LLTM), the linear
rating scale model (LRSM), and the linear partial
credit model (LPCM). We use an unitary, efficient CML
approach to estimate the item parameters and their
standard errors. Graphical and numeric tools for
assessing goodness-of-fit are provided.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-01; Accepted 2007-02-22",
}
@Book{MarquesdeSa:2007:ASU,
author = "Joaquim P. {Marques de S{\'a}}",
title = "Applied Statistics Using {SPSS}, {STATISTICA},
{MATLAB} and {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiv + 506 + 196",
year = "2007",
DOI = "https://doi.org/10.1007/978-3-540-71972-4",
ISBN = "3-540-71972-5",
ISBN-13 = "978-3-540-71972-4",
LCCN = "QA276.4 S2232 2007",
bibdate = "Wed Jul 9 10:26:08 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/spss.bib",
abstract = "This successful textbook is intended for students,
professionals and research workers who need to apply
statistical analysis to a large variety of practical
problems using SPSS, MATLAB, STATISTICA and R. The book
provides a comprehensive coverage of the main
statistical analysis topics important for practical
applications such as data description, statistical
inference, classification and regression, factor
analysis, survival data and directional statistics. The
relevant notions and methods are explained concisely,
illustrated with practical examples using real data,
presented with the distinct intention of clarifying
sensible practical issues. The solutions presented in
the examples are obtained with one of the software
packages in a pedagogical way. It provides guidance on
how to use SPSS, MATLAB, STATISTICA and R in
statistical analysis applications without having to
delve in the manuals. Major improvements of the second
edition are the inclusion of the R language as one of
the application tools, a new section on bootstrap
estimation methods, a revised explanation and treatment
of tree classifiers as well as extra examples and
exercises.",
acknowledgement = ack-nhfb,
subject = "Statistics; Engineering mathematics; Statistics for
Engineering, Physics, Computer Science, Chemistry and
Geosciences; Numerical and Computational Methods in
Engineering; Systems and Information Theory in
Engineering; Appl.Mathematics/Computational Methods of
Engineering",
tableofcontents = "Introduction \\
Presenting and Summarising the Data \\
Estimating Data Parameters \\
Parametric Tests of Hypotheses \\
Non-Parametric Tests of Hypotheses \\
Statistical Classification \\
Data Regression \\
Data Structure Analysis \\
Survival Analysis \\
Directional Data \\
Appendix A \\
Short Survey on Probability Theory \\
Appendix B \\
Distributions \\
Appendix C \\
Point Estimation \\
Appendix D \\
Tables \\
Appendix E \\
Datasets \\
Appendix F \\
Tools",
}
@Article{McLeod:2007:ALT,
author = "A. Ian McLeod and Hao Yu and Zinovi L. Krougly",
title = "Algorithms for Linear Time Series Analysis: With {R}
Package",
journal = j-J-STAT-SOFT,
volume = "23",
number = "5",
pages = "1--26",
month = dec,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i05",
abstract = "Our {\tt ltsa} package implements the Durbin-Levinson
and Trench algorithms and provides a general approach
to the problems of fitting, forecasting and simulating
linear time series models as well as fitting regression
models with linear time series errors. For
computational efficiency both algorithms are
implemented in C and interfaced to R. Examples are
given which illustrate the efficiency and accuracy of
the algorithms. We provide a second package FGN which
illustrates the use of the {\tt ltsa} package with
fractional Gaussian noise (FGN). It is hoped that the
{\tt ltsa} will provide a base for further time series
software.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2005-10-14; Accepted 2007-11-11",
remark = "Describes package {\tt ltsa}.",
}
@Article{Mevik:2007:PPP,
author = "Bj{\"o}rn-Helge Mevik and Ron Wehrens",
title = "The {\tt pls} Package: Principal Component and Partial
Least Squares Regression in {R}",
journal = j-J-STAT-SOFT,
volume = "18",
number = "2",
pages = "1--24",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i02",
abstract = "The {\tt pls} package implements principal component
regression (PCR) and partial least squares regression
(PLSR) in R (R Development Core Team 2006b), and is
freely available from the Comprehensive R Archive
Network (CRAN), licensed under the GNU General Public
License (GPL). The user interface is modeled after the
traditional formula interface, as exemplified by lm.
This was done so that people used to R would not have
to learn yet another interface, and also because we
believe the formula interface is a good way of working
interactively with models. It thus has methods for
generic functions like predict, update and coef. It
also has more specialised functions like scores,
loadings and RMSEP, and a flexible cross-validation
system. Visual inspection and assessment is important
in chemometrics, and the {\tt pls} package has a number
of plot functions for plotting scores, loadings,
predictions, coefficients and RMSEP estimates. The
package implements PCR and several algorithms for PLSR.
The design is modular, so that it should be easy to use
the underlying algorithms in other functions. It is our
hope that the package will serve well both for
interactive data analysis and as a building block for
other functions or packages using PLSR or PCR. We will
here describe the package and how it is used for data
analysis, as well as how it can be used as a part of
other packages. Also included is a section about
formulas and data frames, for people not used to the R
modelling idioms.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-04; Accepted 2007-01-10",
}
@Article{Mullen:2007:FRP,
author = "Katharine M. Mullen and Ivo H. M. van Stokkum and
Thomas W. Binsl and Jaap Heringa and Johannes H. G. M.
van Beek",
title = "{FluxSimulator}: An {R} Package to Simulate Isotopomer
Distributions in Metabolic Networks",
journal = j-J-STAT-SOFT,
volume = "18",
number = "7",
pages = "1--17",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i07",
abstract = "The representation of biochemical knowledge in terms
of fluxes (transformation rates) in a metabolic network
is often a crucial step in the development of new drugs
and efficient bioreactors. Mass spectroscopy (MS) and
nuclear magnetic resonance spectroscopy (NMRS) in
combination with ${}^{13}$C labeled substrates are
experimental techniques resulting in data that may be
used to quantify fluxes in the metabolic network
underlying a process. The massive amount of data
generated by spectroscopic experiments increasingly
requires software which models the dynamics of the
underlying biological system. In this work we present
an approach to handle isotopomer distributions in
metabolic networks using an object-oriented programming
approach, implemented using S4 classes in R. The
developed package is called FluxSimulator and provides
a user friendly interface to specify the topological
information of the metabolic network as well as carbon
atom transitions in plain text files. The package
automatically derives the mathematical representation
of the formulated network, and assembles a set of
ordinary differential equations (ODEs) describing the
change of each isotopomer pool over time. These ODEs
are subsequently solved numerically. In a case study
FluxSimulator was applied to an example network. Our
results indicate that the package is able to reproduce
exact changes in isotopomer compositions of the
metabolite pools over time at given flux rates.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-09-28; Accepted 2007-01-10",
}
@Article{Mullen:2007:TRP,
author = "Katharine M. Mullen and Ivo H. M. van Stokkum",
title = "{TIMP}: An {R} Package for Modeling Multi-way
Spectroscopic Measurements",
journal = j-J-STAT-SOFT,
volume = "18",
number = "3",
pages = "1--46",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i03",
abstract = "TIMP is an R package for modeling multiway
spectroscopic measurements. The package allows for the
simultaneous analysis of datasets collected under
different experimental conditions in terms of a wide
variety of parametric models. Models arising in
spectroscopy data analysis often have some parameters
that are intrinstically nonlinear, and some parameters
that are conditionally linear on estimates of the
nonlinear parameters. TIMP fits such separable
nonlinear models using partitioned variable projection,
a variant of the variable projection algorithm that is
described here for the first time. The of the
partitioned variable projection algorithm allows
fitting many models for spectroscopy datasets using
much less memory as compared to under the standard
variable projection algorithm that is implemented in
nonlinear optimization routines (e.g., the plinear
option of the R function nls), as is shown here. An
overview of modeling with TIMP is also given that
includes several case studies in the application of the
package.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-01; Accepted 2007-01-10",
}
@Article{Olive:2007:BRB,
author = "David J. Olive",
title = "Book Review: {{\booktitle{Robust Statistical Methods
with R}} by J. {Jure{\"a} ov{\'a};} J. Picek}",
journal = j-TECHNOMETRICS,
volume = "49",
number = "4",
pages = "496--496",
month = nov,
year = "2007",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/25471404",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:19 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i25471379;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/25471404",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Petzoldt:2007:SOO,
author = "Thomas Petzoldt and Karsten Rinke",
title = "{\tt simecol}: An Object-Oriented Framework for
Ecological Modeling in {R}",
journal = j-J-STAT-SOFT,
volume = "22",
number = "9",
pages = "1--31",
month = sep,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v22/i09",
abstract = "The {\tt simecol} package provides an open structure
to implement, simulate and share ecological models. A
generalized object-oriented architecture improves
readability and potential code re-use of models and
makes {\tt simecol}-models freely extendible and simple
to use. The {\tt simecol} package was implemented in
the S4 class system of the programming language R.
Reference applications, e.g. predator-prey models or
grid models are provided which can be used as a
starting point for own developments. Compact example
applications and the complete code of an
individual-based model of the water flea Daphnia
document the efficient usage of {\tt simecol} for
various purposes in ecological modeling, e.g. scenario
analysis, stochastic simulations and individual based
population dynamics. Ecologists are encouraged to
exploit the abilities of {\tt simecol} to structure
their work and to use R and object-oriented programming
as a suitable medium for the distribution and share of
ecological modeling code.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-21; Accepted 2007-06-08",
}
@Article{Polzehl:2007:ASD,
author = "Joerg Polzehl and Karsten Tabelow",
title = "Adaptive Smoothing of Digital Images: The {R} Package
{\tt adimpro}",
journal = j-J-STAT-SOFT,
volume = "19",
number = "1",
pages = "1--17",
month = mar,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v19/i01",
abstract = "Digital imaging has become omnipresent in the past
years with a bulk of applications ranging from medical
imaging to photography. When pushing the limits of
resolution and sensitivity noise has ever been a major
issue. However, commonly used non-adaptive filters can
do noise reduction at the cost of a reduced effective
spatial resolution only. Here we present a new package
{\tt adimpro} for R, which implements the
propagation-separation approach by (Polzehl and
Spokoiny 2006) for smoothing digital images. This
method naturally adapts to different structures of
different size in the image and thus avoids
oversmoothing edges and fine structures. We extend the
method for imaging data with spatial correlation.
Furthermore we show how the estimation of the
dependence between variance and mean value can be
included. We illustrate the use of the package through
some examples.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-27; Accepted 2007-03-27",
}
@Article{Ritter:2007:ICD,
author = "Christian Ritter and Jean Gilliard",
title = "{ImpuR}: a Collection of Diagnostic Tools Developed in
{R} in the Context of Peak Impurity Detection in
{HPLC-DAD} but Potentially Useful with Other Types of
Time-Intensity Matrices",
journal = j-J-STAT-SOFT,
volume = "18",
number = "9",
pages = "1--18",
month = jan,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v18/i09",
abstract = "HPLC-DAD systems generate time intensity (absorbance)
matrices called spectrochromatograms. Under good
experimental conditions, spectro-chromatograms of
elution peaks of pure analytes are bilinear products of
a time peak and an absorbance spectrum. Co-eluting
impurities create deviations from this pure bilinear
structure. Unfortunately, other imperfections, such as
scan averaging, large optical windows, imperfect lamp
alignment, mobile phase fluctuations, etc. also create
departures from the pure bilinear structure. This makes
it hard to distinguish low concentration impurities
from artifacts and hampers safe detection of
contaminants. There are two main ways to deal with such
artifacts: removal and simulation, and ImpuR provides R
functions to do both and to integrate both approaches.
More specifically, ImpuR provides a set of tools to
explore time-intensity matrices with respect to their
bilinear structure and departures from it. It includes
exploratory graphs for bilinear matrices (bilinear
residual graphs and singular value decompositions),
spectral dissimilarity curves via window-evolving
factor analysis with heteroscedasticity correction and
the sine method, methods for removal of artifacts, and
a comprehensive simulation tool to assess the impact of
potential artifacts and to allow for the construction
of guide curves for use with the sine method.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-24; Accepted 2007-01-11",
}
@Article{Robinson:2007:BRG,
author = "Andrew Robinson",
title = "Book Review: {{\booktitle{Generalized Additive Models:
an Introduction in R}}, by Simon N. Wood}",
journal = j-ANZJS,
volume = "49",
number = "4",
pages = "455--456",
month = dec,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1467-842X.2007.00490.x",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 14:29:51 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Romero:2007:IST,
author = "Mart{\'\i}n Romero",
title = "Introduction to statistics through resampling methods
and {R\slash S-Plus}",
journal = j-BULL-MATH-BIOL,
volume = "69",
number = "2",
pages = "795--796",
month = feb,
year = "2007",
CODEN = "BMTBAP",
DOI = "https://doi.org/10.1007/s11538-006-9120-x",
ISSN = "0092-8240 (print), 1522-9602 (electronic)",
ISSN-L = "0092-8240",
bibdate = "Thu Jun 29 15:21:39 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bullmathbiol.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s11538-006-9120-x;
http://link.springer.com/content/pdf/10.1007/s11538-006-9120-x.pdf",
acknowledgement = ack-nhfb,
fjournal = "Bulletin of Mathematical Biology",
journal-URL = "http://link.springer.com/journal/11538",
}
@Article{Rosenthal:2007:ARI,
author = "Jeffrey S. Rosenthal",
title = "{AMCMC}: an {R} interface for adaptive {MCMC}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "51",
number = "12",
pages = "5467--5470",
day = "15",
month = aug,
year = "2007",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:41:56 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947307000916",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Rossini:2007:SPS,
author = "A. J. Rossini and Luke Tierney and Na Li",
title = "Simple Parallel Statistical Computing in {R}",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "16",
number = "2",
pages = "399--420",
month = jun,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1198/106186007X178979",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Mon Aug 30 08:15:16 MDT 2010",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
}
@Article{Sardy:2007:BRB,
author = "Sylvain Sardy and Valerie Chavez-Demoulin",
title = "Book Review: {{\booktitle{Modeling Financial Time
Series with S-PLUS (2nd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "17",
number = "BR-6",
pages = "1--2",
month = feb,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:15 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v17/b06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-09; Accepted 2007-02-09",
}
@Book{Shoukri:2007:ACD,
author = "M. M. (Mohamed M.) Shoukri and Mohammad A. Chaudhary",
title = "Analysis of correlated data with {SAS} and {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
edition = "Third",
pages = "295",
year = "2007",
ISBN = "1-58488-619-6",
ISBN-13 = "978-1-58488-619-8",
LCCN = "RA652.2.M3 S53 2007",
bibdate = "Tue Sep 6 09:15:00 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
library.ox.ac.uk:210/ADVANCE",
URL = "http://www.loc.gov/catdir/enhancements/fy0733/2007000593-d.htm;
http://www.loc.gov/catdir/toc/ecip078/2007000593.htm",
acknowledgement = ack-nhfb,
remark = "CD-ROM inside back cover. Originally published:
Statistical methods for health sciences. 2nd ed. Boca
Raton, Fla.: CRC Press, c1999.",
subject = "Epidemiology; Statistical methods",
}
@Article{Smith:2007:BRP,
author = "Brian J. Smith",
title = "{\tt boa}: An {R} Package for {MCMC} Output
Convergence Assessment and Posterior Inference",
journal = j-J-STAT-SOFT,
volume = "21",
number = "11",
pages = "1--37",
month = nov,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v21/i11",
abstract = "Markov chain Monte Carlo (MCMC) is the most widely
used method of estimating joint posterior distributions
in Bayesian analysis. The idea of MCMC is to
iteratively produce parameter values that are
representative samples from the joint posterior. Unlike
frequentist analysis where iterative model fitting
routines are monitored for convergence to a single
point, MCMC output is monitored for convergence to a
distribution. Thus, specialized diagnostic tools are
needed in the Bayesian setting. To this end, the R
package {\tt boa} was created. This manuscript presents
the user's manual for {\tt boa}, which outlines the use
of and methodology upon which the software is based.
Included is a description of the menu system, data
management capabilities, and statistical/graphical
methods for convergence assessment and posterior
inference. Throughout the manual, a linear regression
example is used to illustrate the software.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-04-27; Accepted 2007-10-14",
}
@Article{Starkings:2007:SBRb,
author = "Susan Starkings",
title = "Short Book Review: {{\booktitle{The R Book}} by
Michael J. Crawley}",
journal = j-INT-STAT-REV,
volume = "75",
number = "3",
pages = "425--426",
month = dec,
year = "2007",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2007.00030_16.x;
https://doi.org/10.2307/41509895",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:21 MDT 2014",
bibsource = "http://www.jstor.org/stable/i40074048;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/41509895",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "10 Dec 2007",
}
@Article{Stasinopoulos:2007:BRG,
author = "Mikis Stasinopoulos",
title = "Book Review: {{\booktitle{Generalized Additive Models:
an Introduction with R}}, by S. N. Wood}",
journal = j-BIOMETRICS,
volume = "63",
number = "4",
pages = "1298--1299",
month = dec,
year = "2007",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2007.00905_3.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:14 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "07 December 2007",
}
@Article{Stasinopoulos:2007:GAM,
author = "D. Mikis Stasinopoulos and Robert A. Rigby",
title = "Generalized Additive Models for Location Scale and
Shape ({GAMLSS}) in {R}",
journal = j-J-STAT-SOFT,
volume = "23",
number = "7",
pages = "1--46",
month = dec,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i07",
abstract = "GAMLSS is a general framework for fitting regression
type models where the distribution of the response
variable does not have to belong to the exponential
family and includes highly skew and kurtotic continuous
and discrete distribution. GAMLSS allows all the
parameters of the distribution of the response variable
to be modeled as linear/non-linear or smooth functions
of the explanatory variables. This paper starts by
defining the statistical framework of GAMLSS, then
describes the current implementation of GAMLSS in R and
finally gives four different data examples to
demonstrate how GAMLSS can be used for statistical
modelling.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-07-19; Accepted 2007-11-28",
}
@Article{Stubben:2007:EAD,
author = "Chris Stubben and Brook Milligan",
title = "Estimating and Analyzing Demographic Models Using the
{\tt popbio} Package in {R}",
journal = j-J-STAT-SOFT,
volume = "22",
number = "11",
pages = "1--23",
month = sep,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v22/i11",
abstract = "A complete assessment of population growth and
viability from field census data often requires complex
data manipulations, statistical routines, mathematical
tools, programming environments, and graphical
capabilities. We therefore designed an R package called
{\tt popbio} to facilitate both the construction and
analysis of projection matrix models. The package
consists primarily of the R translation of MATLAB code
found in Caswell (2001) and Morris and Doak (2002) for
the analysis of projection matrix models. The package
also includes methods to estimate vital rates and
construct projection matrix models from census data
typically collected in plant demography studies. In
these studies, vital rates can often be estimated
directly from annual censuses of tagged individuals
using transition frequency tables. Because the
construction of projection matrix models requires
careful management of census data, we describe the
steps to construct a projection matrix in detail.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-16; Accepted 2007-08-28",
}
@Article{Su:2007:FSM,
author = "Steve Su",
title = "Fitting Single and Mixture of Generalized Lambda
Distributions to Data via Discretized and Maximum
Likelihood Methods: {GLDEX} in {R}",
journal = j-J-STAT-SOFT,
volume = "21",
number = "9",
pages = "1--17",
month = oct,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v21/i09",
abstract = "This paper describes the use of GLDEX in R to fit
distributions to empirical data using the discretized
and maximum likelihood methods. The GLDEX package also
provides diagnostic tests to examine the quality of fit
through the resample Kolmogorov-Smirnoff test, quantile
plots and comparison of the mean, variance, skewness
and kurtosis between the empirical data and the fitted
distribution.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-11-07; Accepted 2007-09-15",
}
@Article{Suchard:2007:BRA,
author = "Marc A. Suchard",
title = "Book Review: {{\booktitle{Analysis of Phylogenetics
and Evolution with R}}, by E. Paradis}",
journal = j-BIOMETRICS,
volume = "63",
number = "4",
pages = "1304--1305",
month = dec,
year = "2007",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2007.00905_11.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:14 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "07 December 2007",
}
@Article{Thioulouse:2007:IMD,
author = "Jean Thioulouse and St{\'e}phane Dray",
title = "Interactive Multivariate Data Analysis in {R} with the
{\tt ade4} and {{\tt ade4TkGUI}} Packages",
journal = j-J-STAT-SOFT,
volume = "22",
number = "5",
pages = "1--14",
month = sep,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v22/i05",
abstract = "{\tt ade4} is a multivariate data analysis package for
the R statistical environment, and {\tt ade4TkGUI} is a
Tcl/Tk graphical user interface for the most essential
methods of {\tt ade4}. Both packages are available on
CRAN. An overview of {\tt ade4TkGUI} is presented, and
the pros and cons of this approach are discussed. We
conclude that command line interfaces (CLI) and
graphical user interfaces (GUI) are complementary. {\tt
ade4TkGUI} can be valuable for biologists and
particularly for ecologists who are often occasional
users of R. It can spare them having to acquire an
in-depth knowledge of R, and it can help first time
users in a first approach.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-01-08; Accepted 2007-10-02",
}
@Article{Tilahun:2007:FSM,
author = "Abel Tilahun and Assam Pryseley and Ariel Alonso and
Geert Molenberghs",
title = "Flexible surrogate marker evaluation from several
randomized clinical trials with continuous endpoints,
using {R} and {SAS}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "51",
number = "9",
pages = "4152--4163",
day = "15",
month = may,
year = "2007",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:11 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947307000679",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Tyler:2007:BRB,
author = "David E. Tyler",
title = "Book review: {{\booktitle{Robust Statistical Methods
with R}}}",
journal = j-J-AM-STAT-ASSOC,
volume = "102",
number = "478",
pages = "759--760",
month = jun,
year = "2007",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1198/jasa.2007.s187",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Thu Aug 26 11:26:31 MDT 2010",
bibsource = "http://www.amstat.org/publications/jasa/;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
}
@Article{vanderArk:2007:MSA,
author = "L. Andries van der Ark",
title = "{Mokken} Scale Analysis in {R}",
journal = j-J-STAT-SOFT,
volume = "20",
number = "11",
pages = "1--19",
month = feb,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v20/i11",
abstract = "Mokken scale analysis (MSA) is a scaling procedure for
both dichotomous and polytomous items. It consists of
an item selection algorithm to partition a set of items
into Mokken scales and several methods to check the
assumptions of two nonparametric item response theory
models: the monotone homogeneity model and the double
monotonicity model. First, we present an R package
mokken for MSA and explain the procedures. Second, we
show how to perform MSA in R using test data obtained
with the Adjective Checklist.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2006-10-01; Accepted 2007-02-22",
}
@Article{Wickham:2007:RG,
author = "Hadley Wickham and Dianne Cook",
title = "{R} Graphics",
journal = j-AMER-STAT,
volume = "61",
number = "1",
pages = "99--100",
month = feb,
year = "2007",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2007.s72",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:27 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Yuan:2007:MLM,
author = "Lester L. Yuan",
title = "Maximum Likelihood Method for Predicting Environmental
Conditions from Assemblage Composition: The {R} Package
{\tt bio.infer}",
journal = j-J-STAT-SOFT,
volume = "22",
number = "3",
pages = "1--20",
month = sep,
year = "2007",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v22/i03",
abstract = "This paper provides a brief introduction to the R
package {\tt bio.infer}, a set of scripts that
facilitates the use of maximum likelihood (ML) methods
for predicting environmental conditions from assemblage
composition. Environmental conditions can often be
inferred from only biological data, and these
inferences are useful when other sources of data are
unavailable. ML prediction methods are statistically
rigorous and applicable to a broader set of problems
than more commonly used weighted averaging techniques.
However, ML methods require a substantially greater
investment of time to program algorithms and to perform
computations. This package is designed to reduce the
effort required to apply ML prediction methods.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-01-10; Accepted 2007-06-22",
}
@Article{Anonymous:2008:BRAb,
author = "Anonymous",
title = "Book Review: {{\booktitle{Analysis of Correlated Data
with SAS and R}}, 3rd edition. by Shoukri, M. M. and
Chaudhary, M. A.}",
journal = j-BIOMETRICS,
volume = "64",
number = "2",
pages = "660--661",
month = jun,
year = "2008",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2008.01026_13.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:15 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 June 2008",
}
@Book{Baclawski:2008:IPR,
author = "Kenneth Baclawski",
title = "Introduction to probability with {R}",
volume = "75",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xvi + 363",
year = "2008",
ISBN = "1-4200-6521-1 (hardcover)",
ISBN-13 = "978-1-4200-6521-3 (hardcover)",
LCCN = "QA273 .B2535 2008",
bibdate = "Tue Apr 29 20:39:05 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
prodorbis.library.yale.edu:7090/voyager;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
URL = "http://www.loc.gov/catdir/enhancements/fy0803/2007041288-d.html;
http://www.loc.gov/catdir/toc/ecip082/2007041288.html",
acknowledgement = ack-nhfb,
subject = "Probabilities; R (Computer program language);
Mathematical models",
tableofcontents = "Sets, events, and probability \\
Finite processes \\
Discrete random variables \\
General random variables \\
Statistics and the normal distribution \\
Conditional probability \\
The Poisson process \\
Randomization and compound processes \\
Entropy and information \\
Markov chains \\
Random walks \\
Memorylessness and scale-invariance",
}
@Book{Bartoszynski:2008:PSI,
author = "Robert Bartoszy{\'n}ski and Magdalena
Niewiadomska-Bugaj",
title = "Probability and statistical inference",
publisher = pub-WILEY-INTERSCIENCE,
address = pub-WILEY-INTERSCIENCE:adr,
edition = "Second",
pages = "xii + 647",
year = "2008",
ISBN = "0-471-69693-5 (hardcover)",
ISBN-13 = "978-0-471-69693-3 (hardcover)",
LCCN = "QA273 .B2584 2008",
bibdate = "Wed Sep 15 09:42:15 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0826/2008271954-b.html;
http://www.loc.gov/catdir/enhancements/fy0826/2008271954-d.html;
http://www.loc.gov/catdir/enhancements/fy0826/2008271954-t.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471696935.html",
acknowledgement = ack-nhfb,
remark = "Previous edition: Chichester: Wiley, 1996.",
subject = "probabilities; mathematical statistics",
}
@Article{Bates:2008:SBRa,
author = "Douglas M. Bates",
title = "Short Book Review: {{\booktitle{Data Manipulation with
R}} by Phil Spector}",
journal = j-INT-STAT-REV,
volume = "76",
number = "2",
pages = "324--325",
month = aug,
year = "2008",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2008.00054_25.x;
https://doi.org/10.2307/27919643",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:22 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919607;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919643",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Jul 2008",
}
@Article{Bates:2008:SBRb,
author = "Douglas M. Bates",
title = "Short Book Review: {{\booktitle{Probability and
Statistics with R}} by Maria Dolores Ugarte, Ana F.
Militino, Alan T. Arnholt}",
journal = j-INT-STAT-REV,
volume = "76",
number = "3",
pages = "447--448",
month = dec,
year = "2008",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2008.00062_12.x;
https://doi.org/10.2307/27919667",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:22 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919648;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919667",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "3 Dec 2008",
}
@Book{Bivand:2008:ASD,
author = "Roger S. Bivand and Edzer J. Pebesma and Virgilio
G{\'o}mez-Rubio",
title = "Applied Spatial Data Analysis with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiv + 374",
year = "2008",
ISBN = "0-387-78170-6",
ISBN-13 = "978-0-387-78170-9",
LCCN = "????",
bibdate = "Sat Jun 13 10:06:25 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.gbv.de:20011/gvk",
price = "EUR 48.10; SFR 75.00",
series = "Use R!",
URL = "http://deposit.d-nb.de/cgi-bin/dokserv?id=3087668&prov=M&dok_var=1&dok_ext=htm",
acknowledgement = ack-nhfb,
tableofcontents = "Handling Spatial Data in R \\
Hello World : Introducing Spatial Data \\
Classes for Spatial Data in R \\
Visualising Spatial Data \\
Spatial Data Import and Export \\
Further Methods for Handling Spatial Data \\
Customising Spatial Data Classes and Methods \\
Analysing Spatial Data \\
Spatial Point Pattern Analysis \\
Interpolation and Geostatistics \\
Areal Data and Spatial Autocorrelation \\
Modelling Areal Data \\
Disease Mapping",
}
@Book{Bolker:2008:EMD,
author = "Benjamin M. Bolker",
title = "Ecological Models and Data in {R}",
publisher = pub-PRINCETON,
address = pub-PRINCETON:adr,
pages = "vii + 396",
year = "2008",
ISBN = "0-691-12522-8",
ISBN-13 = "978-0-691-12522-0",
LCCN = "QH541.15.S72 B65 2008",
bibdate = "Sat Jun 27 08:44:09 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
author-dates = "1967--",
subject = "Ecology; Statistical methods; Mathematical models;
Simulation methods; R (Computer program language)",
tableofcontents = "Introduction and background \\
Exploratory data analysis and graphics \\
Deterministic functions for ecological modeling \\
Probability and stochastic distributions for ecological
modeling \\
Stochastic simulation and power analysis \\
Likelihood and all that \\
Optimization and all that \\
Likelihood examples \\
Standard statistics revisited \\
Modeling variance \\
Dynamic models \\
Afterword \\
Appendix: Algebra and calculus basics",
}
@Article{Brock:2008:CRP,
author = "Guy Brock and Vasyl Pihur and Susmita Datta and
Somnath Datta",
title = "{{\tt clValid}}: An {R} Package for Cluster
Validation",
journal = j-J-STAT-SOFT,
volume = "25",
number = "4",
pages = "1--22",
month = mar,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i04",
abstract = "The R package {\tt clValid} contains functions for
validating the results of a clustering analysis. There
are three main types of cluster validation measures
available, ``internal'', ``stability'', and
``biological''. The user can choose from nine
clustering algorithms in existing R packages, including
hierarchical, K-means, self-organizing maps (SOM), and
model-based clustering. In addition, we provide a
function to perform the self-organizing tree algorithm
(SOTA) method of clustering. Any combination of
validation measures and clustering methods can be
requested in a single function call. This allows the
user to simultaneously evaluate several clustering
algorithms while varying the number of clusters, to
help determine the most appropriate method and number
of clusters for the dataset of interest. Additionally,
the package can automatically make use of the
biological information contained in the Gene Ontology
(GO) database to calculate the biological validation
measures, via the annotation packages available in
Bioconductor. The function returns an object of S4
class ``{\tt clValid}'', which has summary, plot,
print, and additional methods which allow the user to
display the optimal validation scores and extract
clustering results.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-04-03; Accepted 2008-01-22",
}
@Article{Butts:2008:NPM,
author = "Carter T. Butts",
title = "{\tt network}: a Package for Managing Relational Data
in {R}",
journal = j-J-STAT-SOFT,
volume = "24",
number = "2",
pages = "1--36",
month = may,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v24/i02",
abstract = "Effective memory structures for relational data within
R must be capable of representing a wide range of data
while keeping overhead to a minimum. The {\tt network}
package provides a class which may be used for encoding
complex relational structures composed a vertex set
together with any combination of undirected/directed,
valued/unvalued, dyadic/hyper, and single/multiple
edges; storage requirements are on the order of the
number of edges involved. Some simple constructor,
interface, and visualization functions are provided, as
well as a set of operators to facilitate employment by
end users. The package also supports a C-language API,
which allows developers to work directly with {\tt
network} objects within backend code.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-06-01; Accepted 2007-12-25",
}
@Article{Cao:2008:ORP,
author = "Kim-Anh L{\^e} Cao and Patrick Chabrier",
title = "{\tt ofw}: An {R} Package to Select Continuous
Variables for Multiclass Classification with a
Stochastic Wrapper Method",
journal = j-J-STAT-SOFT,
volume = "28",
number = "9",
pages = "??--??",
month = nov,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v28/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-02-13; Accepted 2008-07-25",
}
@Book{Chambers:2008:SDA,
author = "John M. Chambers",
title = "Software for Data Analysis: Programming with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiv + 498",
year = "2008",
ISBN = "0-387-75935-2, 0-387-75936-0",
ISBN-13 = "978-0-387-75935-7, 978-0-387-75936-4",
LCCN = "QA276.45.R3 C43 2008",
bibdate = "Sat Jun 13 09:37:19 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
subject = "numerical analysis; data processing; R (Computer
programming language)",
}
@Book{Chang:2008:ADT,
author = "Mark Chang",
title = "Adaptive Design Theory and Implementation Using {SAS}
and {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xxii + 418",
year = "2008",
ISBN = "1-58488-962-4",
ISBN-13 = "978-1-58488-962-5",
LCCN = "R853.C55 C42 2008",
bibdate = "Thu Jul 10 08:38:53 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC biostatistics series",
URL = "http://www.loc.gov/catdir/enhancements/fy0801/2007011412-d.html;
http://www.loc.gov/catdir/toc/ecip0713/2007011412.html",
acknowledgement = ack-nhfb,
subject = "Clinical trials; Design; Computer simulation;
Statistical methods; Adaptive sampling (Statistics);
SAS (Computer file); R (Computer program language);
methods; Research Design; Biometry; Data
Interpretation, Statistical; Software",
tableofcontents = "Introduction \\
Classic Design \\
Multiplicity in Classic Design \\
Theory of Adaptive Design \\
Method with Direct Combination of P-values \\
Method with Combination of Inverse-Normal P-values \\
Conditional Error Approach \\
Implementation of K-stage Design \\
Recursive Two-Stage Adaptive Design \\
Sample Size Re-estimation \\
Drop-loser and Seamless Designs \\
Biomarker Adaptive Design Multiple-Endpoint Adaptive
Trials \\
Response-Adaptive Randomization \\
Response-Adaptive Treatment Switching \\
Bayesian Approach and Decision Theory \\
Clinical Trial Simulation \\
Opportunity, Challenges, and Recommendations",
}
@Book{Claude:2008:MR,
author = "Julien Claude",
title = "Morphometrics with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xviii + 316",
year = "2008",
ISBN = "0-387-77789-X (paperback)",
ISBN-13 = "978-0-387-77789-4 (paperback)",
LCCN = "QH351 .C53 2008",
bibdate = "Thu Jul 10 08:42:47 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Quantifying shape and size variation is essential in
evolutionary biology and in many other disciplines.
Since the ``morphometric revolution of the 90s,'' an
increasing number of publications in applied and
theoretical morphometrics emerged in the new discipline
of statistical shape analysis. The R language and
environment offers a single platform to perform a
multitude of analyses from the acquisition of data to
the production of static and interactive graphs. This
offers an ideal environment to analyze shape variation
and shape change.",
acknowledgement = ack-nhfb,
subject = "Morphology; Statistical methods; Data processing; R
(Computer program language)",
tableofcontents = "Contributors. \\
Abbreviations and notations \\
Introduction \\
Acquiring and manipulating morphometric data \\
Traditional statistics for morphometrics \\
Modern morphometrics based on configurations of
landmarks \\
Statistical analysis of shape using modern
morphometrics \\
Going further with R \\
Appendix A: functions developed in this text \\
Appendix B: packages used in this text \\
References \\
Index",
}
@Book{Cohen:2008:SDR,
author = "Yosef Cohen and Jeremiah Y. Cohen",
title = "Statistics and data with {R}: an applied approach
through examples",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xviii + 599",
year = "2008",
ISBN = "0-470-75805-8 (cloth), 0-470-72188-X (e-book)",
ISBN-13 = "978-0-470-75805-2 (cloth), 978-0-470-72188-9
(e-book)",
LCCN = "QA276.45.R3 C64 2008",
bibdate = "Wed Sep 15 09:40:50 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/toc/ecip0824/2008032153.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-047072188X.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470758058.html",
acknowledgement = ack-nhfb,
subject = "mathematical statistics; data processing; R (computer
programming language)",
}
@Book{Cornillon:2008:SAR,
author = "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and
Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie
Josse and Maela Kloareg and Eric Matzner-L{\o}ber and
Laurent Rouvi{\`e}re",
title = "Statistiques avec {R}",
publisher = "Presses universitaires de Rennes",
address = "Rennes, France",
pages = "v + 257",
year = "2008",
ISBN = "2-7535-0722-8",
ISBN-13 = "978-2-7535-0722-7",
LCCN = "QA276.45 R3 S797 2008",
bibdate = "Thu Jul 10 13:10:39 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Didact statistique",
acknowledgement = ack-nhfb,
}
@Article{Crookston:2008:YRP,
author = "Nicholas L. Crookston and Andrew O. Finley",
title = "{{\tt yaImpute}}: An {R} Package for {kNN}
Imputation",
journal = j-J-STAT-SOFT,
volume = "23",
number = "10",
pages = "1--16",
month = jan,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i10",
abstract = "This article introduces {\tt yaImpute}, an R package
for nearest neighbor search and imputation. Although
nearest neighbor imputation is used in a host of
disciplines, the methods implemented in the {\tt
yaImpute} package are tailored to imputation-based
forest attribute estimation and mapping. The impetus to
writing the {\tt yaImpute} is a growing interest in
nearest neighbor imputation methods for spatially
explicit forest inventory, and a need within this
research community for software that facilitates
comparison among different nearest neighbor search
algorithms and subsequent imputation techniques. {\tt
yaImpute} provides directives for defining the search
space, subsequent distance calculation, and imputation
rules for a given number of nearest neighbors. Further,
the package offers a suite of diagnostics for
comparison among results generated from different
imputation analyses and a set of functions for mapping
imputation results.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-06-20; Accepted 2007-10-10",
}
@Book{Cryer:2008:TSA,
author = "Jonathan D. Cryer and Kung-sik Chan",
title = "Time Series Analysis: with Applications in {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xiii + 491",
year = "2008",
DOI = "https://doi.org/10.1007/978-0-387-75959-3",
ISBN = "1-4419-2613-5 (paperback), 0-387-75958-1,
0-387-75959-X (e-book)",
ISBN-13 = "978-1-4419-2613-5 (paperback), 978-0-387-75958-6,
978-0-387-75959-3 (e-book)",
LCCN = "QA280 .C78 2008",
bibdate = "Thu Jul 10 09:44:41 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
URL = "http://www.loc.gov/catdir/toc/fy0804/2008923058.html",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Data processing; R (Computer
program language)",
tableofcontents = "Introduction \\
Fundamental concepts \\
Trends \\
Models for stationary time series \\
Models for nonstationary time series \\
Model specification \\
Parameter estimation \\
Model diagnostics \\
Forecasting \\
Seasonal models \\
Time series regression models \\
Time series models of heteroscedasticity \\
Introduction to spectral analysis \\
Estimating the spectrum \\
Threshold models \\
Appendix: an introduction to R",
}
@Book{Dalgaard:2008:ISR,
author = "Peter Dalgaard",
title = "Introductory Statistics with {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xvi + 363",
year = "2008",
ISBN = "0-387-79053-5 (paperback)",
ISBN-13 = "978-0-387-79053-4 (paperback)",
ISSN = "1431-8784",
LCCN = "QA276.45.R3 D35 2008",
bibdate = "Sat Jun 13 08:44:00 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
remark = "First edition \cite{Dalgaard:2002:ISR}.",
subject = "statistics; data processing; R (Computer program
language)",
}
@Article{Dutang:2008:ARP,
author = "Christophe Dutang and Vincent Goulet and Mathieu
Pigeon",
title = "{\tt actuar}: An {R} Package for Actuarial Science",
journal = j-J-STAT-SOFT,
volume = "25",
number = "7",
pages = "1--37",
month = mar,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i07",
abstract = "{\tt actuar} is a package providing additional
Actuarial Science functionality to the R statistical
system. The project was launched in 2005 and the
package is available on the Comprehensive R Archive
Network since February 2006. The current version of the
package contains functions for use in the fields of
loss distributions modeling, risk theory (including
ruin theory), simulation of compound hierarchical
models and credibility theory. This paper presents in
detail but with few technical terms the most recent
version of the package.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-11-16; Accepted 2008-02-14",
}
@Article{Emerson:2008:BRI,
author = "John W. Emerson",
title = "Book Review: {{\booktitle{Interactive and Dynamic
Graphics for Data Analysis: With R and GGobi}}, by
Cook, D. and Swayne, D.}",
journal = j-BIOMETRICS,
volume = "64",
number = "4",
pages = "1301--1303",
month = dec,
year = "2008",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2008.01138_4.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:17 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "24 November 2008",
}
@Article{Feinerer:2008:TMI,
author = "Ingo Feinerer and Kurt Hornik and David Meyer",
title = "Text Mining Infrastructure in {R}",
journal = j-J-STAT-SOFT,
volume = "25",
number = "5",
pages = "1--54",
month = mar,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i05",
abstract = "During the last decade text mining has become a widely
used discipline utilizing statistical and machine
learning methods. We present the {\tt tm} package which
provides a framework for text mining applications
within R. We give a survey on text mining facilities in
R and explain how typical application tasks can be
carried out using our framework. We present techniques
for count-based analysis methods, text clustering, text
classification and string kernels.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-09-05; Accepted 2008-02-10",
}
@Article{Feng:2008:CDI,
author = "Dai Feng and Luke Tierney",
title = "Computing and Displaying Isosurfaces in {R}",
journal = j-J-STAT-SOFT,
volume = "28",
number = "1",
pages = "??--??",
month = sep,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v28/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-05-28; Accepted 2008-09-04",
}
@TechReport{Filzmoser:2008:LRS,
author = "Peter Filzmoser",
title = "{\LaTeX} and {R} via {Sweave}: An example document how
to use {Sweave}",
type = "Technical report",
institution = "Vienna University of Technology",
address = "Wiedner Haupstra{\ss}e 8-10, A-1040 Wien, Austria",
pages = "6",
day = "12",
month = mar,
year = "2008",
bibdate = "Sat Jul 5 19:14:35 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/litprog.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.statistik.tuwien.ac.at/public/filz/students/SweaveExa.pdf",
acknowledgement = ack-nhfb,
}
@Article{Freeman:2008:PRP,
author = "Elizabeth A. Freeman and Gretchen Moisen",
title = "{{\tt PresenceAbsence}}: An {R} Package for Presence
Absence Analysis",
journal = j-J-STAT-SOFT,
volume = "23",
number = "11",
pages = "1--31",
month = jan,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i11",
abstract = "The {\tt PresenceAbsence} package for R provides a set
of functions useful when evaluating the results of
presence-absence analysis, for example, models of
species distribution or the analysis of diagnostic
tests. The package provides a toolkit for selecting the
optimal threshold for translating a probability surface
into presence-absence maps specifically tailored to
their intended use. The package includes functions for
calculating threshold dependent measures such as
confusion matrices, percent correctly classified (PCC),
sensitivity, specificity, and Kappa, and produces plots
of each measure as the threshold is varied. It also
includes functions to plot the Receiver Operator
Characteristic (ROC) curve and calculates the
associated area under the curve (AUC), a threshold
independent measure of model quality. Finally, the
package computes optimal thresholds by multiple
criteria, and plots these optimized thresholds on the
graphs.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-04-19; Accepted 2008-01-08",
}
@Article{Gonzalez:2008:CRP,
author = "Ignacio Gonz{\'a}lez and S{\'e}bastien D{\'e}jean and
Pascal G. P. Martin and Alain Baccini",
title = "{{\tt CCA}}: An {R} Package to Extend Canonical
Correlation Analysis",
journal = j-J-STAT-SOFT,
volume = "23",
number = "12",
pages = "1--14",
month = jan,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:16 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v23/i12",
abstract = "Canonical correlations analysis (CCA) is an
exploratory statistical method to highlight
correlations between two data sets acquired on the same
experimental units. The {\tt cancor()} function in R (R
Development Core Team 2007) performs the core of
computations but further work was required to provide
the user with additional tools to facilitate the
interpretation of the results. We implemented an R
package, {\tt CCA}, freely available from the
Comprehensive R Archive Network (CRAN,
\path=http://CRAN.R-project.org/=), to develop
numerical and graphical outputs and to enable the user
to handle missing values. The {\tt CCA} package also
includes a regularized version of {\tt CCA} to deal
with data sets with more variables than units.
Illustrations are given through the analysis of a data
set coming from a nutrigenomic study in the mouse.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-03-20; Accepted 2007-12-04",
}
@Article{Grothendieck:2008:BRB,
author = "Gabor Grothendieck",
title = "Book Review: {{\booktitle{lattice: Multivariate Data
Visualization with R}}}",
journal = j-J-STAT-SOFT,
volume = "25",
number = "BR-2",
pages = "1--3",
month = may,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-05-08; Accepted 2008-05-08",
}
@Article{Hahsler:2008:GTO,
author = "Michael Hahsler and Kurt Hornik and Christian Buchta",
title = "Getting Things in Order: An Introduction to the {R}
Package {\tt seriation}",
journal = j-J-STAT-SOFT,
volume = "25",
number = "3",
pages = "1--34",
month = mar,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i03",
abstract = "Seriation, i.e., finding a suitable linear order for a
set of objects given data and a loss or merit function,
is a basic problem in data analysis. Caused by the
problem's combinatorial nature, it is hard to solve for
all but very small sets. Nevertheless, both exact
solution methods and heuristics are available. In this
paper we present the package {\tt seriation} which
provides an infrastructure for seriation with R. The
infrastructure comprises data structures to represent
linear orders as permutation vectors, a wide array of
seriation methods using a consistent interface, a
method to calculate the value of various loss and merit
functions, and several visualization techniques which
build on {\tt seriation}. To illustrate how easily the
package can be applied for a variety of applications, a
comprehensive collection of examples is presented.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-09-11; Accepted 2008-02-05",
}
@Article{Hanley:2008:SWI,
author = "James A. Hanley and Marilyse Julien and Erica E. M.
Moodie",
title = "{Student}'s $z$, $t$, and $s$: What if {Gosset} had
{R}?",
journal = j-AMER-STAT,
volume = "62",
number = "1",
pages = "64--69",
month = feb,
year = "2008",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/000313008X269602",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Apr 24 06:00:47 2014",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Harrison:2008:SRR,
author = "Teresa D. Harrison",
title = "Software review: Review of {\tt np} software for {R}",
journal = j-J-APPL-ECONOMETRICS,
volume = "23",
number = "6",
pages = "861--865",
month = sep # "--" # oct,
year = "2008",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.1004",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:22 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "19 September 2008",
}
@Book{Hartung:2008:SMA,
author = "Joachim Hartung and Guido Knapp and Bimal K. Sinha",
title = "Statistical meta-analysis with applications",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xv + 247",
year = "2008",
ISBN = "0-470-29089-7 (cloth), 0-470-38633-9 (e-book)",
ISBN-13 = "978-0-470-29089-7 (cloth), 978-0-470-38633-0
(e-book)",
LCCN = "QA277 .H373 2008",
bibdate = "Wed Sep 15 09:38:18 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy0811/2008009435-d.html;
http://www.loc.gov/catdir/enhancements/fy0814/2008009435-t.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470386339.html",
abstract = "Statistical Meta-Analysis with Applications presents
the necessary statistical methodologies that allow
readers to tackle the four main stages of
meta-analysis: problem formulation, data collection,
data evaluation, and data analysis and interpretation.
Combining the authors' expertise on the topic with a
wealth of up-to-date information, this book
successfully introduces the essential statistical
practices for making thorough and accurate discoveries
across a wide array of diverse fields, such as
business, public health, biostatistics, and
environmental studies.",
acknowledgement = ack-nhfb,
subject = "statistical hypothesis testing; meta-analysis;
meta-analysis as topic; data interpretation,
statistical; statistics as topic; methods",
tableofcontents = "Introduction \\
Various measures of effect size \\
Combining independent tests \\
Methods of combining effect sizes \\
Inference about a common mean of several univariate
normal populations \\
Tests of homogeneity in meta-analysis \\
One-way random effects model \\
Combining controlled trials with normal outcomes \\
Combining controlled trials with discrete outcomes \\
Meta-regression \\
Multivariate meta-analysis \\
Bayesian meta-analysis \\
Publication bias \\
14. Recovery of inter-block information \\
Combination of polls \\
Vote counting procedures \\
Computational aspects data sets",
}
@Article{Hui:2008:LRP,
author = "Wallace Hui and Yulia R. Gel and Joseph L. Gastwirth",
title = "{\tt lawstat}: An {R} Package for Law, Public Policy
and Biostatistics",
journal = j-J-STAT-SOFT,
volume = "28",
number = "3",
pages = "??--??",
month = oct,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v28/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-11-12; Accepted 2008-01-11",
}
@Article{Hyndman:2008:ATS,
author = "Rob J. Hyndman and Yeasmin Khandakar",
title = "Automatic Time Series Forecasting: The {\tt forecast}
Package for {R}",
journal = j-J-STAT-SOFT,
volume = "27",
number = "3",
pages = "??--??",
month = jul,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:40 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v27/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-05-29; Accepted 2008-03-22",
}
@Article{Iacus:2008:IMF,
author = "Stefano Iacus and Giuseppe Porro",
title = "Invariant and Metric Free Proximities for Data
Matching: An {R} Package",
journal = j-J-STAT-SOFT,
volume = "25",
number = "11",
pages = "1--22",
month = apr,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i11",
abstract = "Data matching is a typical statistical problem in non
experimental and/or observational studies or, more
generally, in cross-sectional studies in which one or
more data sets are to be compared. Several methods are
available in the literature, most of which based on a
particular metric or on statistical models, either
parametric or nonparametric. In this paper we present
two methods to calculate a proximity which have the
property of being invariant under monotonic
transformations. These methods require at most the
notion of ordering. An open-source software in the form
of a R package is also presented.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-03-19; Accepted 2008-03-31",
remark = "Describes package {\tt rrp}.",
}
@Book{Iacus:2008:SIS,
author = "Stefano M. Iacus",
title = "Simulation and Inference for Stochastic Differential
Equations: With {R} Examples",
volume = "??",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xviii + 284",
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1007/978-0-387-75839-8",
ISBN = "0-387-75839-9, 0-387-75838-0",
ISBN-13 = "978-0-387-75839-8, 978-0-387-75838-1",
ISSN = "0172-7397",
ISSN-L = "0172-7397",
LCCN = "QA274.23 .I23 2008",
bibdate = "Thu Jun 19 06:41:21 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer Series in Statistics",
URL = "http://link.springer.com/book/10.1007/978-0-387-75839-8",
abstract = "This book is unique because of its focus on the
practical implementation of the simulation and
estimation methods presented. The book will be useful
to practitioners and students with only a minimal
mathematical background because of the many R programs,
and to more mathematically-educated practitioners. Many
of the methods presented in the book have not been used
much in practice because the lack of an implementation
in a unified framework. This book fills the gap. With
the R code included in this book, a lot of useful
methods become easy to use for practitioners and
students. An R package called ``sde'' provides
functions with easy interfaces ready to be used on
empirical data from real life applications. Although it
contains a wide range of results, the book has an
introductory character and necessarily does not cover
the whole spectrum of simulation and inference for
general stochastic differential equations. The book is
organized into four chapters. The first one introduces
the subject and presents several classes of processes
used in many fields of mathematics, computational
biology, finance and the social sciences. The second
chapter is devoted to simulation schemes and covers new
methods not available in other publications. The third
one focuses on parametric estimation techniques. In
particular, it includes exact likelihood inference,
approximated and pseudo-likelihood methods, estimating
functions, generalized method of moments, and other
techniques. The last chapter contains miscellaneous
topics like nonparametric estimation, model
identification and change point estimation. The reader
who is not an expert in the R language will find a
concise introduction to this environment focused on the
subject of the book. A documentation page is available
at the end of the book for each R function presented in
the book. Stefano M. Iacus is associate professor of
Probability and Mathematical Statistics at the
University of Milan, Department of Economics, Business
and Statistics. He has a PhD in Statistics at Padua
University, Italy and in Mathematics at Universit{\'e}
du Maine, France. He is a member of the R Core team for
the development of the R statistical environment, Data
Base manager for the Current Index to Statistics, and
IMS Group Manager for the Institute of Mathematical
Statistics. He has been associate editor of the Journal
of Statistical Software.",
acknowledgement = ack-nhfb,
remark = "Most volumes in this series are unnumbered.",
series-URL = "http://link.springer.com/bookseries/692",
subject = "Stochastic differential equations; Stochastic
Processes; Signal, Image and Speech Processing;
Simulation and Modeling; Quantitative Finance;
Statistics and Computing/Statistics Programs;
Computational Mathematics and Numerical Analysis;
{\'E}quations diff{\'e}rentielles stochastiques;
MATHEMATICS; Probability and Statistics; General;
Interferenz; Stochastische Differentialgleichung;
Stochastik; Simulation; Stochastic differential
equations.",
tableofcontents = "Stochastic processes and stochastic differential
equations \\
Numerical methods for SDE \\
Parametric estimation \\
Miscellaneous topics",
}
@Article{Kiermeier:2008:VAA,
author = "Andreas Kiermeier",
title = "Visualizing and Assessing Acceptance Sampling Plans:
The {R} Package {{\tt AcceptanceSampling}}",
journal = j-J-STAT-SOFT,
volume = "26",
number = "6",
pages = "??--??",
month = jul,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:40 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v26/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-06-29; Accepted 2008-06-24",
}
@Book{Kleiber:2008:AER,
author = "Christian Kleiber and Achim Zeileis",
title = "Applied Econometrics with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "x + 221",
year = "2008",
ISBN = "0-387-77316-9",
ISBN-13 = "978-0-387-77316-2",
LCCN = "QA276.45.R3 K58 2008",
bibdate = "Thu Jul 10 08:55:16 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy0903/2008934356-d.html;
http://www.loc.gov/catdir/enhancements/fy0903/2008934356-t.html",
abstract = "This is the first book on applied econometrics using
the R system for statistical computing and graphics. It
presents hands-on examples for a wide range of
econometric models, from classical linear regression
models for cross-section, time series or panel data and
the common non-linear models of microeconometrics such
as logit, probit and tobit models, to recent
semiparametric extensions. In addition, it provides a
chapter on programming, including simulations,
optimization, and an introduction to R tools enabling
reproducible econometric research.\par
The goal of this book is to provide a guide to R for
users with a background in economics or the social
sciences. Readers are assumed to have a background in
basic statistics and econometrics at the undergraduate
level. A large number of examples should make the book
of interest to graduate students, researchers and
practitioners alike.",
acknowledgement = ack-nhfb,
author-dates = "1966--",
subject = "R (Computer program language); Econometrics; Data
processing; Statistics; Business; Management;
MATHEMATICS; Probability and Statistics; General; R
(Programm); {\"O}konometrie; Data processing; R
(Computer program language); Science {\'e}conomique;
Affaires; {\'E}conomie de l'entreprise.",
tableofcontents = "Introduction \\
Basics \\
Linear Regression \\
Diagnostics and alternative methods of regression \\
Models of microeconometrics \\
Time series \\
Programming your own analysis \\
References \\
Index",
}
@Article{Knoblauch:2008:MML,
author = "Kenneth Knoblauch and Laurence T. Maloney",
title = "{MLDS}: Maximum Likelihood Difference Scaling in {R}",
journal = j-J-STAT-SOFT,
volume = "25",
number = "2",
pages = "1--26",
month = mar,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i02",
abstract = "The {\tt MLDS} package in the R programming language
can be used to estimate perceptual scales based on the
results of psychophysical experiments using the method
of difference scaling. In a difference scaling
experiment, observers compare two supra-threshold
differences (a,b) and (c,d) on each trial. The approach
is based on a stochastic model of how the observer
decides which perceptual difference (or interval) (a,b)
or (c,d) is greater, and the parameters of the model
are estimated using a maximum likelihood criterion. We
also propose a method to test the model by evaluating
the self-consistency of the estimated scale. The
package includes an example in which an observer judges
the differences in correlation between scatterplots.
The example may be readily adapted to estimate
perceptual scales for arbitrary physical continua.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-04-17; Accepted 2008-01-09",
}
@Article{Kuhn:2008:BPM,
author = "Max Kuhn",
title = "Building Predictive Models in {R} Using the {\tt
caret} Package",
journal = j-J-STAT-SOFT,
volume = "28",
number = "5",
pages = "??--??",
month = nov,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v28/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-04-22; Accepted 2008-08-18",
}
@Article{Le:2008:FRP,
author = "S{\'e}bastien L{\^e} and Julie Josse and
Fran{\c{c}}ois Husson",
title = "{{\tt FactoMineR}}: An {R} Package for Multivariate
Analysis",
journal = j-J-STAT-SOFT,
volume = "25",
number = "1",
pages = "1--18",
month = mar,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i01",
abstract = "In this article, we present {\tt FactoMineR} an R
package dedicated to multivariate data analysis. The
main features of this package is the possibility to
take into account different types of variables
(quantitative or categorical), different types of
structure on the data (a partition on the variables, a
hierarchy on the variables, a partition on the
individuals) and finally supplementary information
(supplementary individuals and variables). Moreover,
the dimensions issued from the different exploratory
data analyses can be automatically described by
quantitative and/or categorical variables. Numerous
graphics are also available with various options.
Finally, a graphical user interface is implemented
within the {\tt Rcmdr} environment in order to propose
an user friendly package.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-04-05; Accepted 2008-01-09",
}
@Article{Leiva:2008:RPG,
author = "V{\'\i}ctor Leiva and Hugo Hern{\'a}ndez and Antonio
Sanhueza",
title = "An {R} Package for a General Class of Inverse
{Gaussian} Distributions",
journal = j-J-STAT-SOFT,
volume = "26",
number = "4",
pages = "1--21",
month = jun,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v26/i04",
abstract = "The inverse Gaussian distribution is a positively
skewed probability model that has received great
attention in the last 20 years. Recently, a family that
generalizes this model called inverse Gaussian type
distributions has been developed. The new R package
named {\tt ig} has been designed to analyze data from
inverse Gaussian type distributions. This package
contains basic probabilistic functions, lifetime
indicators and a random number generator from this
model. Also, parameter estimates and diagnostics
analysis can be obtained using likelihood methods by
means of this package. In addition, goodness-of-fit
methods are implemented in order to detect the
suitability of the model to the data. The capabilities
and features of the {\tt ig} package are illustrated
using simulated and real data sets. Furthermore, some
new results related to the inverse Gaussian type
distribution are also obtained. Moreover, a simulation
study is conducted for evaluating the estimation method
implemented in the {\tt ig} package.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-09-13; Accepted 2008-03-31",
remark = "Describes package {\tt ig}.",
}
@Book{Leuangthong:2008:SPG,
author = "Oy Leuangthong and K. Daniel Khan and Clayton V.
Deutsch",
title = "Solved problems in geostatistics",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "vii + 207",
year = "2008",
ISBN = "0-470-17792-6 (paperback)",
ISBN-13 = "978-0-470-17792-1 (paperback)",
LCCN = "QE33.2.S82 L48 2008",
bibdate = "Wed Sep 15 09:36:31 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/toc/ecip0811/2008007625.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470177926.html",
acknowledgement = ack-nhfb,
subject = "geology; statistical methods; problems, exercises,
etc; data processing",
}
@Article{Lumley:2008:BRA,
author = "Thomas Lumley",
title = "Book Review: {{\booktitle{Analysis of correlated data
with SAS and R}} (3rd edn). Mohamed M. Shoukri and
Mohammad A. Chaudhary, Chapman and Hall\slash CRC, Boca
Raton, 2007. No. of pages: 295. Price: \$89.95. ISBN:
1-58488-619-6}",
journal = j-STAT-MED,
volume = "27",
number = "22",
pages = "4610--4611",
day = "30",
month = sep,
year = "2008",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.3331",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:47:16 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2000.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "19 August 2008",
}
@Article{Maindonald:2008:SBR,
author = "John H. Maindonald",
title = "Short Book Review: {{\booktitle{Interactive and
Dynamic Graphics for Data Analysis --- With R and
GGobi}} by Dianne Cook; Deborah F. Swayne}",
journal = j-INT-STAT-REV,
volume = "76",
number = "3",
pages = "437--438",
month = dec,
year = "2008",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2008.00062_2.x;
https://doi.org/10.2307/27919657",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:22 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919648;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919657",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "3 Dec 2008",
}
@Article{McLeod:2008:ISA,
author = "A. Ian McLeod and Ying Zhang",
title = "Improved Subset Autoregression: With {R} Package",
journal = j-J-STAT-SOFT,
volume = "28",
number = "2",
pages = "??--??",
month = oct,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v28/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-08-26; Accepted 2008-07-03",
}
@Book{Nason:2008:WMS,
author = "G. P. Nason",
title = "Wavelet Methods in Statistics with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "x + 257",
year = "2008",
DOI = "https://doi.org/10.1007/978-0-387-75961-6",
ISBN = "0-387-75960-3 (paperback), 0-387-75961-1 (e-book)",
ISBN-13 = "978-0-387-75960-9 (paperback), 978-0-387-75961-6
(e-book)",
LCCN = "QA403.3 .N37 2008",
bibdate = "Thu Jul 10 09:19:41 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Wavelet methods have recently undergone a rapid period
of development with important implications for a number
of disciplines including statistics. This book has
three main objectives: (i) providing an introduction to
wavelets and their uses in statistics; (ii) acting as a
quick and broad reference to many developments in the
area; (iii) interspersing R code that enables the
reader to learn the methods, to carry out their own
analyses, and further develop their own ideas. The book
code is designed to work with the freeware R package
WaveThresh4, but the book can be read independently of
R.\par
The book is aimed both at Masters/Ph.D. students in a
numerate discipline (such as statistics, mathematics,
economics, engineering, computer science, and physics)
and postdoctoral researchers/users interested in
statistical wavelet methods.",
acknowledgement = ack-nhfb,
subject = "Wavelets (Mathematics); Mathematical statistics; R
(Computer program language); Wavelets (Mathematics);
Mathematical statistics.; R (Computer program
language); Mathematical statistics.; R (Computer
program language); Wavelets (Mathematics)",
tableofcontents = "Introduction \\
Wavelets \\
Wavelet shrinkage \\
Related wavelet smoothing techniques \\
Multiscale time series analysis \\
Multiscale variance stabilization \\
A. R software for wavelets and statistics \\
B. Notation and some mathematical concepts \\
C. Survival function code",
}
@Article{Nordhausen:2008:SBR,
author = "Klaus Nordhausen",
title = "Short Book Review: {{\booktitle{Lattice: Multivariate
Data Visualization with R}} by Deepayan Sarkar}",
journal = j-INT-STAT-REV,
volume = "76",
number = "3",
pages = "440--440",
month = dec,
year = "2008",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2008.00062_5.x;
https://doi.org/10.2307/27919660",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:22 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919648;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919660",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "3 Dec 2008",
}
@Article{OBrien:2008:SBRa,
author = "C. M. O'Brien",
title = "Short Book Review: {{\booktitle{Adaptive Design Theory
and Implementation Using SAS and R}} by Mark Chang}",
journal = j-INT-STAT-REV,
volume = "76",
number = "2",
pages = "300--300",
month = aug,
year = "2008",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2008.00054_1.x;
https://doi.org/10.2307/27919619",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:22 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919607;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919619",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Jul 2008",
}
@Article{Peng:2008:CDS,
author = "Roger Peng",
title = "Caching and Distributing Statistical Analyses in {R}",
journal = j-J-STAT-SOFT,
volume = "26",
number = "7",
pages = "??--??",
month = jul,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:40 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v26/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-10-26; Accepted 2008-07-10",
}
@Book{Peng:2008:SME,
author = "Roger D. Peng and Francesca Dominici",
title = "Statistical Methods for Environmental Epidemiology
with {R}: a Case Study in Air Pollution and Health",
publisher = pub-SV,
address = pub-SV:adr,
pages = "ix + 144",
year = "2008",
DOI = "https://doi.org/10.1007/978-0-387-78167-9",
ISBN = "0-387-78166-8 (paperback), 0-387-78167-6 (e-book)",
ISBN-13 = "978-0-387-78166-2 (paperback), 978-0-387-78167-9
(e-book)",
LCCN = "TD883.1 .P46 2008",
bibdate = "Thu Jul 10 08:52:58 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Advances in statistical methodology and computing have
played an important role in allowing researchers to
more accurately assess the health effects of ambient
air pollution. The methods and software developed in
this area are applicable to a wide array of problems in
environmental epidemiology. This book provides an
overview of the methods used for investigating the
health effects of air pollution and gives examples and
case studies in R which demonstrate the application of
those methods to real data. The book will be useful to
statisticians, epidemiologists, and graduate students
working in the area of air pollution and health and
others analyzing similar data.\par
The authors describe the different existing approaches
to statistical modeling and cover basic aspects of
analyzing and understanding air pollution and health
data. The case studies in each chapter demonstrate how
to use R to apply and interpret different statistical
models and to explore the effects of potential
confounding factors. A working knowledge of R and
regression modeling is assumed. In-depth knowledge of R
programming is not required to understand and run the
examples.",
acknowledgement = ack-nhfb,
subject = "Air Pollution; statistics and numerical data;
Environmental Health; Models, Statistical; Software;
Statistics as Topic; Air; Pollution; Mathematical
models; R (Computer program language); Epidemiologie.;
Statistische Analyse.; Mathematical models.;
Environmental health.; R (Computer program language)",
tableofcontents = "Overview of the data \\
Overview of statistical modeling \\
Statistical issues related to air pollution and health
\\
Summarizing evidence of the health effects of air
pollution \\
Case studies",
}
@Book{Pfaff:2008:AIC,
author = "Bernhard Pfaff",
title = "Analysis of integrated and cointegrated time series
with {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xx + 188",
year = "2008",
ISBN = "0-387-75966-2 (paperback)",
ISBN-13 = "978-0-387-75966-1 (paperback)",
LCCN = "QA280 .P45 2008",
bibdate = "Thu Jul 10 08:36:02 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/toc/fy0906/2008930126.html",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Computer programs; R (Computer
program language)",
}
@Article{Pfaff:2008:VSS,
author = "Bernhard Pfaff",
title = "{VAR}, {SVAR} and {SVEC} Models: Implementation Within
{R} Package {\tt vars}",
journal = j-J-STAT-SOFT,
volume = "27",
number = "4",
pages = "??--??",
month = jul,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:40 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v27/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-05-07; Accepted 2008-02-19",
}
@Article{Pineda-Krch:2008:GIG,
author = "Mario Pineda-Krch",
title = "{{\tt GillespieSSA}}: Implementing the {Gillespie}
Stochastic Simulation Algorithm in {R}",
journal = j-J-STAT-SOFT,
volume = "25",
number = "12",
pages = "1--18",
month = apr,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i12",
abstract = "The deterministic dynamics of populations in
continuous time are traditionally described using
coupled, first-order ordinary differential equations.
While this approach is accurate for large systems, it
is often inadequate for small systems where key species
may be present in small numbers or where key reactions
occur at a low rate. The Gillespie stochastic
simulation algorithm (SSA) is a procedure for
generating time-evolution trajectories of finite
populations in continuous time and has become the
standard algorithm for these types of stochastic
models. This article presents a simple-to-use and
flexible framework for implementing the SSA using the
high-level statistical computing language R and the
package {\tt GillespieSSA}. Using three ecological
models as examples (logistic growth,
Rosenzweig-MacArthur predator-prey model, and
Kermack-McKendrick SIRS metapopulation model), this
paper shows how a deterministic model can be formulated
as a finite-population stochastic model within the
framework of SSA theory and how it can be implemented
in R. Simulations of the stochastic models are
performed using four different SSA Monte Carlo methods:
one exact method (Gillespie's direct method); and three
approximate methods (explicit, binomial, and optimized
tau-leap methods). Comparison of simulation results
confirms that while the time-evolution trajectories
obtained from the different SSA methods are
indistinguishable, the approximate methods are up to
four orders of magnitude faster than the exact
methods.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-10-19; Accepted 2008-02-01",
}
@Book{Reimann:2008:SDA,
editor = "Clemens Reimann and Peter Filzmoser and Robert Garrett
and Rudolf Dutter",
title = "Statistical data analysis explained: applied
environmental statistics with {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xviii + 343 + 8",
year = "2008",
ISBN = "0-470-98581-X (hardcover), 0-470-98759-6 (e-book)",
ISBN-13 = "978-0-470-98581-6 (hardcover), 978-0-470-98759-9
(e-book)",
LCCN = "GE45.S73 S8324 2008",
bibdate = "Wed Sep 15 09:41:33 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470987596.html",
acknowledgement = ack-nhfb,
subject = "environmental sciences; statistical methods; data
processing; R (computer programming language)",
}
@Book{Ritz:2008:NRR,
author = "Christian Ritz and Jens C. Streibig",
title = "Nonlinear regression with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xi + 144",
year = "2008",
ISBN = "0-387-09615-9 (paperback), 0-387-09616-7 (e-book)",
ISBN-13 = "978-0-387-09615-5 (paperback), 978-0-387-09616-2
(e-book)",
LCCN = "QA278.2 .R577 2008",
bibdate = "Thu Jul 10 08:45:30 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "R is a rapidly evolving lingua franca of graphical
display and statistical analysis of experiments from
the applied sciences. Currently, R offers a wide range
of functionality for nonlinear regression analysis, but
the relevant functions, packages and documentation are
scattered across the R environment. This book provides
a coherent and unified treatment of nonlinear
regression with R by means of examples from a diversity
of applied sciences such as biology, chemistry,
engineering, medicine and toxicology. R.",
acknowledgement = ack-nhfb,
subject = "Regression analysis; Data processing; Nonlinear
theories; R (Computer program language); Nonlinear
theories; Data processing",
tableofcontents = "Introduction \\
Getting started \\
Starting values and self starters \\
More nls() \\
Model diagnostics \\
Remedies for model variations \\
Uncertainty, hypothesis testing and model selection \\
Grouped data \\
Appendix A: Datasets and models \\
Appendix B: Self starter functions \\
Appendix C: Packages and functions \\
References \\
Index",
}
@Book{Rizzo:2008:SCR,
author = "Maria L. Rizzo",
title = "Statistical computing with {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xvi + 399",
year = "2008",
ISBN = "1-58488-545-9",
ISBN-13 = "978-1-58488-545-0",
LCCN = "QA276.45.R3 R59 2008",
bibdate = "Sat Jun 13 10:38:32 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC computer science and data
analysis series",
URL = "http://www.loc.gov/catdir/enhancements/fy0740/2007034218-d.html",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Data processing; Statistics;
R (Computer program language)",
}
@Article{Robinson:2008:RB,
author = "Timothy J. Robinson",
title = "The {R} Book",
journal = j-AMER-STAT,
volume = "62",
number = "3",
pages = "272--273",
month = aug,
year = "2008",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1198/tas.2008.s263",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 26 21:48:27 MDT 2010",
bibsource = "http://www.amstat.org/publications/tas/;
https://www.math.utah.edu/pub/tex/bib/amstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Article{Rosenfeld:2008:ABG,
author = "Simon Rosenfeld",
title = "Approximate bivariate gamma generator with
prespecified correlation and different marginal
shapes",
journal = j-TOMACS,
volume = "18",
number = "4",
pages = "16:1--16:??",
month = sep,
year = "2008",
CODEN = "ATMCEZ",
DOI = "https://doi.org/10.1145/1391978.1391982",
ISSN = "1049-3301 (print), 1558-1195 (electronic)",
ISSN-L = "1049-3301",
bibdate = "Mon Sep 29 16:00:42 MDT 2008",
bibsource = "http://www.acm.org/pubs/contents/journals/tomacs/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/tomacs.bib",
abstract = "A new algorithm is proposed for generating approximate
bivariate gamma random samples with a prespecified
correlation coefficient and different marginal shapes.
A distinctive feature of this approach is computational
simplicity and ease of control. Extensive testing
demonstrates high accuracy of the proposed algorithm.
An S-PLUS code implementing the algorithm is provided.
Regression lines produced by the technique are nearly
linear, even when marginal shapes are drastically
different. This feature makes the approach especially
useful in simulation studies associated with linear
regression problems. A real-life example of application
to the analysis of heteroscedastic regression models is
presented. This analysis is a part of a bigger study
aimed at quantification of risk factors in cancer
research. Two-dimensional probabilistic patterns
produced by the algorithm are compared to those
generated by the well-known technique by Schmeiser and
Lal [1982].",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Modeling and Computer Simulation",
journal-URL = "http://portal.acm.org/browse_dl.cfm?&idx=J781",
keywords = "bivariate gamma distribution; correlation coefficient;
dietary assessment; random sampling",
}
@Book{Sarkar:2008:LMD,
author = "Deepayan Sarkar",
title = "{{\tt Lattice}}: multivariate data visualization with
{R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvii + 265",
year = "2008",
ISBN = "0-387-75968-9 (paperback), 0-387-75969-7 (e-book)",
ISBN-13 = "978-0-387-75968-5 (paperback), 978-0-387-75969-2
(e-book)",
LCCN = "QA171.5 .S275 2008",
bibdate = "Sat Jun 13 09:37:23 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/toc/fy0805/2008920682.html",
acknowledgement = ack-nhfb,
remark = "Lattice is a package for R.",
subject = "lattice theory; R (Computer programming language);
computer graphics; Trellis graphics",
}
@Article{Schlittgen:2008:BRR,
author = "Rainer Schlittgen",
title = "Book Review: {Robert H. Shumway and David S. Stoffer:
\booktitle{Time series analysis and its applications
with R examples}, 2nd edn.}",
journal = j-ASTA-ADV-STAT-ANAL,
volume = "92",
number = "2",
pages = "233--234",
month = may,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1007/s10182-008-0064-3",
ISSN = "1863-8171 (print), 1863-818X (electronic)",
ISSN-L = "1863-8171",
bibdate = "Thu Feb 5 09:35:40 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/asta.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s10182-008-0064-3",
acknowledgement = ack-nhfb,
fjournal = "AStA. Advances in Statistical Analysis",
journal-URL = "http://link.springer.com/journal/10182",
}
@Article{Smith:2008:UGM,
author = "Brian J. Smith and Jun Yan and Mary Kathryn Cowles",
title = "Unified Geostatistical Modeling for Data Fusion and
Spatial Heteroskedasticity with {R} Package {\tt
ramps}",
journal = j-J-STAT-SOFT,
volume = "25",
number = "10",
pages = "1--21",
month = apr,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v25/i10",
abstract = "This article illustrates usage of the {\tt ramps} R
package, which implements the reparameterized and
marginalized posterior sampling (RAMPS) algorithm for
complex Bayesian geostatistical models. The RAMPS
methodology allows joint modeling of areal and
point-source data arising from the same underlying
spatial process. A reparametrization of variance
parameters facilitates slice sampling based on
simplexes, which can be useful in general when multiple
variances are present. Prediction at arbitrary points
can be made, which is critical in applications where
maps are needed. Our implementation takes advantage of
sparse matrix operations in the Matrix package and can
provide substantial savings in computing time for large
datasets. A user-friendly interface, similar to the
{\tt nlme} mixed effects models package, enables users
to analyze datasets with little programming effort.
Support is provided for numerous spatial and
spatiotemporal correlation structures, user-defined
correlation structures, and non-spatial random effects.
The package features are illustrated via a synthetic
dataset of spatially correlated observation distributed
across the state of Iowa, USA.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-12-17; Accepted 2008-03-26",
}
@Book{Spector:2008:DMR,
author = "Phil Spector",
title = "Data Manipulation With {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "ix + 152",
year = "2008",
ISBN = "0-387-74730-3",
ISBN-13 = "978-0-387-74730-9",
LCCN = "QA276.45.R3.S64; QA276.45.R3.S64 2008",
bibdate = "Sat Jun 13 09:48:10 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
library.mit.edu:9909/mit01",
series = "Use R!",
acknowledgement = ack-nhfb,
remark = "1. Data in R \\
2. Reading and Writing Data \\
3. R and Databases \\
4. Dates \\
5. Factors \\
6. Subscripting \\
7. Character Manipulation \\
8. Data Aggregation \\
9. Reshaping Data",
subject = "Mathematical statistics; Data processing; Statistics;
R (Computer programming language)",
}
@Article{Staniswalis:2008:IMC,
author = "Joan G. Staniswalis",
title = "Incorporating Marginal Covariate Information in a
Nonparametric Regression Model for a Sample of {R} $
\times $ {C} Tables",
journal = j-BIOMETRICS,
volume = "64",
number = "4",
pages = "1054--1061",
month = dec,
year = "2008",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2008.00997.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:17 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "24 November 2008",
}
@Book{Ugarte:2008:PSR,
author = "Mar{\'\i}a Dolores Ugarte and Ana F. Militino and Alan
T. Arnholt",
title = "Probability and statistics with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxvi + 700",
year = "2008",
ISBN = "1-58488-891-1",
ISBN-13 = "978-1-58488-891-8",
LCCN = "QA273.19.E4 U53 2008",
bibdate = "Sat Jun 13 10:38:52 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.crcpress.com/product/isbn/9781584888918",
acknowledgement = ack-nhfb,
remark = "A Chapman and Hall book.",
subject = "probabilities; data processing; statistics; R
(computer programming language)",
tableofcontents = "A Brief Introduction to S \\
The Basics of S \\
Using S \\
Data Sets \\
Data Manipulation \\
Probability Functions \\
Creating Functions \\
Programming Statements \\
Graphs \\
Exploring Data \\
What Is Statistics? \\
Data \\
Displaying Qualitative Data \\
Displaying Quantitative Data \\
Summary Measures of Location \\
Summary Measures of Spread \\
Bivariate Data \\
Multivariate Data (Lattice and Trellis Graphs) \\
General Probability and Random Variables \\
Introduction \\
Counting Rules \\
Probability \\
Random Variables \\
Univariate Probability Distributions \\
Introduction \\
Discrete Univariate Distributions \\
Continuous Univariate Distributions \\
Multivariate Probability Distributions \\
Joint Distribution of Two Random Variables \\
Independent Random Variables \\
Several Random Variables \\
Conditional Distributions \\
Expected Values, Covariance, and Correlation \\
Multinomial Distribution \\
Bivariate Normal Distribution \\
Sampling and Sampling Distributions \\
Sampling \\
Parameters \\
Estimators \\
Sampling Distribution of the Sample Mean \\
Sampling Distribution for a Statistic from an Infinite
Population \\
Sampling Distributions Associated with the Normal
Distribution \\
Point Estimation \\
Introduction \\
Properties of Point Estimators \\
Point Estimation Techniques \\
Confidence Intervals \\
Introduction \\
Confidence Intervals for Population Means \\
Confidence Intervals for Population Variances \\
Confidence Intervals Based on Large Samples \\
Hypothesis Testing \\
Introduction \\
Type I and Type II Errors \\
Power Function \\
Uniformly Most Powerful Test \\
-Value or Critical Level \\
Tests of Significance \\
Hypothesis Tests for Population Means \\
Hypothesis Tests for Population Variances \\
Hypothesis Tests for Population Proportions \\
Nonparametric Methods \\
Introduction \\
Sign Test \\
Wilcoxon Signed-Rank Test \\
The Wilcoxon Rank-Sum or the Mann Whitney U-Test \\
The Kruskal Wallis Test \\
Friedman Test for Randomized Block Designs \\
Goodness-of-Fit Tests \\
Categorical Data Analysis \\
Nonparametric Bootstrapping \\
Permutation Tests \\
Experimental Design \\
Introduction \\
Fixed-Effects Model \\
Analysis of Variance (ANOVA) for the One-Way
Fixed-Effects Model \\
Power and the Noncentral F Distribution \\
Checking Assumptions \\
Fixing Problems \\
Multiple Comparisons of Means \\
Other Comparisons among the Means \\
Summary of Comparisons of Means \\
Random-Effects Model (Variance Components Model) \\
Randomized Complete Block Design \\
Two-Factor Factorial Design \\
Regression \\
Introduction \\
Simple Linear Regression \\
Multiple Linear Regression \\
Ordinary Least Squares \\
Properties of the Fitted Regression Line \\
Using Matrix Notation with Ordinary Least Squares \\
The Method of Maximum Likelihood \\
The Sampling Distribution of \\
ANOVA Approach to Regression \\
General Linear Hypothesis \\
Model Selection and Validation \\
Interpreting a Logarithmically Transformed Model \\
Qualitative Predictors \\
Estimation of the Mean Response for New Values Xh \\
Prediction and Sampling Distribution of New
Observations Yh(new) \\
Simultaneous Confidence Intervals \\
Appendix A: S Commands \\
Appendix B: Quadratic Forms and Random Vectors and
Matrices \\
Quadratic Forms \\
Random Vectors and Matrices \\
Variance of Random Vectors \\
References \\
Index",
}
@Book{Vinod:2008:HIE,
author = "Hrishikesh D. Vinod",
title = "Hands-on intermediate econometrics using {R}:
templates for extending dozens of practical examples",
publisher = pub-WORLD-SCI,
address = pub-WORLD-SCI:adr,
pages = "xxvii + 512",
year = "2008",
ISBN = "981-281-885-5, 981-4350-41-9",
ISBN-13 = "978-981-281-885-0, 978-981-4350-41-9",
LCCN = "HB141 .V56 2008",
bibdate = "Thu Jul 10 09:55:20 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "This book explains how to use R software to teach
econometrics by providing interesting examples, using
actual data applied to important policy issues. It
helps readers choose the best method from a wide array
of tools and packages available. The data used in the
examples along with R program snippets, illustrate the
economic theory and sophisticated statistical methods
extending the usual regression. The R program snippets
are not merely given as black boxes, but include
detailed comments which help the reader better
understand the software steps and use them as templates
for possible extension and modification.",
acknowledgement = ack-nhfb,
author-dates = "1939--",
subject = "Econometrics; Computer programs; R (Computer program
language); {\"O}konometrie.; R (Programm);
{\"O}konometrie.; {\"O}konometrie; R (Programm);
{\"O}konometrie.; Computer programs.; R (Computer
program language)",
tableofcontents = "Production Function and Regression Methods Using R
\\
Univariate Time Series Analysis with R \\
Bivariate Time Series Analysis Including Stochastic
Diffusion and Cointegration \\
Utility Theory and Empirical Implications \\
Vector Models for Multivariate Problems \\
Simultaneous Equation Models \\
Limited Dependent Variable (GLM) Models \\
Dynamic Optimization and Empirical Analysis of Consumer
Behavior \\
Single, Double and Maximum Entropy Bootstrap and
Inference \\
Generalized Least Squares, VARMA, and Estimating
Functions \\
Box--Cox, Loess and Projection Pursuit Regression \\
Appendix",
}
@Article{Wallstrom:2008:IBA,
author = "Garrick Wallstrom and Jeffrey Liebner and Robert E.
Kass",
title = "An Implementation of {Bayesian} Adaptive Regression
Splines ({BARS}) in {C} with {S} and {R} Wrappers",
journal = j-J-STAT-SOFT,
volume = "26",
number = "1",
pages = "1--21",
month = jun,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v26/i01",
abstract = ">BARS (DiMatteo, Genovese, and Kass 2001) uses the
powerful reversible-jump MCMC engine to perform
spline-based generalized nonparametric regression. It
has been shown to work well in terms of having small
mean-squared error in many examples (smaller than known
competitors), as well as producing visually-appealing
fits that are smooth (filtering out high-frequency
noise) while adapting to sudden changes (retaining
high-frequency signal). However, BARS is
computationally intensive. The original implementation
in {\tt S} was too slow to be practical in certain
situations, and was found to handle some data sets
incorrectly. We have implemented BARS in {\tt C} for
the normal and Poisson cases, the latter being
important in neurophysiological and other point-process
applications. The {\tt C} implementation includes all
needed subroutines for fitting Poisson regression,
manipulating B-splines (using code created by Bates and
Venables), and finding starting values for Poisson
regression (using code for density estimation created
by Kooperberg). The code utilizes only freely-available
external libraries ({\bf LAPACK} and {\bf BLAS}) and is
otherwise self-contained. We have also provided
wrappers so that BARS can be used easily within {\tt S}
or {\tt R}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2004-06-25; Accepted 2007-02-20",
}
@Article{Wickham:2008:BRBa,
author = "Hadley Wickham",
title = "Book Review: {{\booktitle{Data Manipulation with
R}}}",
journal = j-J-STAT-SOFT,
volume = "26",
number = "BR-1",
pages = "1--2",
month = jun,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Jul 4 10:54:17 MDT 2008",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v26/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-06-16; Accepted 2008-06-16",
}
@Article{Wickham:2008:BRBb,
author = "Hadley Wickham",
title = "Book Review: {{\booktitle{A First Course in
Statistical Programming with R}}}",
journal = j-J-STAT-SOFT,
volume = "28",
number = "BR-3",
pages = "??--??",
month = dec,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v28/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-09; Accepted 2008-12-09",
}
@Article{Zeileis:2008:RMC,
author = "Achim Zeileis and Christian Kleiber and Simon
Jackman",
title = "Regression Models for Count Data in {R}",
journal = j-J-STAT-SOFT,
volume = "27",
number = "8",
pages = "??--??",
month = jul,
year = "2008",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:40 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v27/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-05-04; Accepted 2008-06-06",
}
@Book{Aitkin:2009:SMR,
author = "Murray A. Aitkin and Brian Francis and John Hinde and
Ross Darnell",
title = "Statistical modelling in {R}",
volume = "35",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xii + 576",
year = "2009",
ISBN = "0-19-921913-3 (paperback), 0-19-921914-1 (hardcover)",
ISBN-13 = "978-0-19-921913-1 (paperback), 978-0-19-921914-8
(hardcover)",
LCCN = "QA276.45.R3 S73 2009",
bibdate = "Thu Apr 24 08:32:18 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Oxford statistical science series",
URL = "http://www.loc.gov/catdir/toc/ecip0824/2008031898.html",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing",
tableofcontents = "Introducing R: Statistical packages and statistical
modelling \\
Getting started in R \\
Reading data into R \\
Assignment and data generation \\
Displaying data \\
Data structures and the workspace \\
Transformations and data modification \\
Functions and suffixing \\
Structure functions \\
Mathematical functions \\
Logical operators \\
Control functions \\
Statistical functions \\
Random numbers \\
Suffixes in expressions \\
Extracting subsets of data \\
Recoding variates and factors into new factors \\
Graphical facilities \\
Text functions \\
Writing your own functions \\
Sorting and tabulation \\
Editing R code \\
Installing and using packages \\
Statistical Modelling and Inference: Statistical models
\\
Types of variables \\
Population models \\
Random sampling \\
The likelihood function \\
Inference for single parameter models \\
Comparing two simple hypotheses \\
Information about a single parameter \\
Comparing a simple null hypothesis and a composite
alternative \\
Inference with nuisance parameters \\
Profile likelihoods \\
Marginal likelihood for the variance \\
Likelihood normalizing transformations \\
Alternative test procedures \\
Bayes inference \\
Binomial model \\
Hypergeometric sampling from finite populations \\
The effect of the sample design on inference \\
The exponential family \\
Mean and variance \\
Generalized linear models \\
Maximum likelihood fitting of the GLM \\
Model comparisons through maximized likelihoods \\
Likelihood inference without models \\
Likelihoods for percentiles \\
Empirical likelihood \\
Regression and Analysis of Variance: An example \\
Strategies for model simplification \\
Stratified, weighted and clustered samples \\
Model criticism \\
Mis-specification of the probability distribution \\
Mis-specification of the link function \\
The occurrence of aberrant and influential observations
\\
Mis-specification of the systematic part of the model
\\
The Box-Cox transformation family \\
Modelling and background information \\
Link functions and transformations \\
Regression models for prediction \\
Model choice and mean square prediction error \\
Model selection through cross-validation \\
Reduction of complex regression models \\
Sensitivity of the Box-Cox transformation \\
The use of regression models for calibration \\
Measurement error in the explanatory variables \\
Factorial designs \\
Unbalanced cross-classifications \\
The Bennett hostility data \\
ANOVA of the cross-classification \\
Regression analysis of the cross-classification \\
Statistical package treatments of cross-classifications
\\
Missing data \\
Approximate methods for missing data \\
Modelling of variance heterogeneity \\
Poison example \\
Tree example \\
Binary Response Data: Binary responses \\
Transformations and link functions \\
Profile likelihoods for functions of parameters \\
Model criticism \\
Mis-specification of the probability distribution \\
Mis-specification of the link function \\
The occurrence of aberrant and influential observations
\\
Binary data with continuous covariates \\
Contingency table construction from binary data \\
The prediction of binary outcomes \\
Profile and conditional likelihoods in 2 x 2 tables \\
Three-dimensional contingency tables with a binary
response \\
Prenatal care and infant mortality \\
Coronary heart disease \\
Multidimensional contingency tables with a binary
response \\
Multinomial and Poisson Response Data: The Poisson
distribution \\
Cross-classified counts \\
Multicategory responses \\
Multinomial logit model \\
The Poisson-multinomial relation \\
Fitting the multinomial logit model \\
Ordered response categories \\
Common slopes for the regressions \\
Linear trend over response categories \\
Proportional slopes \\
The continuation ratio model \\
Other models \\
An Example \\
Multinomial logit model \\
Continuation ratio model \\
Structured multinomial responses \\
Independent outcomes \\
Correlated outcomes \\
Survival Data: Introduction \\
The exponential distribution \\
Fitting the exponential distribution \\
Model criticism \\
Comparison with the normal family \\
Censoring \\
Likelihood function for censored observations \\
Probability plotting with censored data: the
Kaplan-Meier estimator \\
The gamma distribution \\
Maximum likelihood with uncensored data \\
Maximum likelihood with censored data \\
Double modelling \\
The Weibull distribution \\
Maximum likelihood fitting of the Weibull distribution
\\
The extreme value distribution \\
The reversed extreme value distribution \\
Survivor function plotting for the Weibull and extreme
value distributions \\
The Cox proportional hazards model and the piecewise
exponential distribution \\
Maximum likelihood fitting of the piecewise exponential
distribution \\
Examples \\
The logistic and log-logistic distributions \\
The normal and lognormal distributions \\
Evaluating the proportional hazard assumption \\
Competing risks \\
Time-dependent explanatory variables \\
Discrete time models \\
Finite Mixture Models: Introduction \\
Example \\
girl birthweights \\
Finite mixtures of distributions \\
Maximum likelihood in finite mixtures \\
Standard errors \\
Testing for the number of components \\
Example \\
Likelihood 'spikes' \\
Galaxy data \\
Kernel density estimates \\
Random Effect Models: Overdispersion \\
Testing for overdispersion \\
Conjugate random effects \\
Normal kernel: the t-distribution \\
Poisson kernel: the negative binomial distribution \\
Binomial kernel: beta-binomial distribution \\
Gamma kernel \\
Difficulties with the conjugate approach \\
Normal random effects \\
Predicting from the normal random effect model \\
Gaussian quadrature examples \\
Overdispersion model fitting \\
Poisson \\
the fabric fault data \\
Binomial \\
the toxoplasmosis data \\
Other specified random effect distributions \\
Arbitrary random effects \\
Examples \\
The fabric fault data \\
The toxoplasmosis data \\
Leukaemia remission data \\
The Brownlee stack-loss data \\
Random coefficient regression models \\
Example \\
the fabric fault data \\
Algorithms for mixture fitting \\
The trypanosome data \\
Modelling the mixing probabilities \\
Mixtures of mixtures \\
Variance Component Models: Models with shared random
effects \\
The normal/normal model \\
Exponential family two-level models \\
Other approaches \\
NPML estimation of the masses and mass-points \\
Random coefficient models \\
Variance component model fitting \\
Children's height development \\
Multi-centre trial of beta-blockers \\
Longitudinal study of obesity \\
Autoregressive random effect models \\
Latent variable models \\
The normal factor model \\
IRT models \\
The Rasch model \\
The two-parameter model \\
The three-parameter logit (3PL) model \\
Example \\
The Law School Aptitude Test (LSAT) \\
Spatial dependence \\
Multivariate correlated responses \\
Discreteness of the NPML estimate",
}
@Book{Albert:2009:BCR,
author = "Jim Albert",
title = "{Bayesian} computation with {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xii + 298",
year = "2009",
ISBN = "0-387-92297-0 (paperback)",
ISBN-13 = "978-0-387-92297-3 (paperback)",
LCCN = "QA279.5 .A53 2009",
bibdate = "Sat Jun 13 09:47:24 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.bibsys.no:2100/BIBSYS",
series = "Use R",
acknowledgement = ack-nhfb,
author-dates = "1953--",
subject = "Bayesian statistical decision theory; Data processing;
R (Computer program language)",
}
@Article{Anonymous:2009:BRBf,
author = "Anonymous",
title = "Book Review: {{\booktitle{Introductory Statistics With
R}} (2nd ed.) by Peter Dalgaard}",
journal = j-TECHNOMETRICS,
volume = "51",
number = "2",
pages = "225--225",
month = may,
year = "2009",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586615",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:29 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025248;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/40586615",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2009:BRN,
author = "Anonymous",
title = "Book Review: {{\booktitle{Nonlinear Regression with
R}}, by Ritz, C. and Streibig, J. C.}",
journal = j-BIOMETRICS,
volume = "65",
number = "3",
pages = "1001--1001",
month = sep,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01315_16.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:20 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 September 2009",
}
@Article{Anonymous:2009:BRRb,
author = "Anonymous",
title = "Book Review: {{\booktitle{R for SAS and SPSS Users}},
by Muenchen, R. A.}",
journal = j-BIOMETRICS,
volume = "65",
number = "4",
pages = "1313--1313",
month = dec,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01343_11.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:21 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/spss.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "23 November 2009",
}
@Article{Anonymous:2009:BRSc,
author = "Anonymous",
title = "Book Review: {{\booktitle{Software for Data Analysis:
Programming with R}}, by Chambers, J. M.}",
journal = j-BIOMETRICS,
volume = "65",
number = "4",
pages = "1313--1313",
month = dec,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01343_10.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:21 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "23 November 2009",
}
@Article{Ardia:2009:AMS,
author = "David Ardia and Lennart F. Hoogerheide and Herman K.
van Dijk",
title = "Adaptive Mixture of {Student-$t$} Distributions as a
Flexible Candidate Distribution for Efficient
Simulation: The {R} Package {{\tt AdMit}}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "3",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-06-30; Accepted 2008-12-01",
}
@Article{Barros:2009:RIG,
author = "Michelli Barros and Gilberto A. Paula and V{\'\i}ctor
Leiva",
title = "An {R} implementation for generalized
{Birnbaum--Saunders} distributions",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "53",
number = "4",
pages = "1511--1528",
day = "15",
month = feb,
year = "2009",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:39 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947308005434",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Book{Basso:2009:PTS,
author = "Dario Basso and Fortunato Pesarin and Luigi Salmaso
and Aldo Solari",
title = "Permutation Tests for Stochastic Ordering and {ANOVA}:
Theory and Applications with {R}",
volume = "194",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 217",
year = "2009",
ISBN = "0-387-85955-1 (paperback), 0-387-85956-X (e-book)",
ISBN-13 = "978-0-387-85955-2 (paperback), 978-0-387-85956-9
(e-book)",
LCCN = "QA165 .P437 2009",
bibdate = "Thu Jul 10 09:48:10 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Lecture notes in statistics",
abstract = "Permutation testing for multivariate stochastic
ordering and ANOVA designs is a fundamental issue in
many scientific fields such as medicine, biology,
pharmaceutical studies, engineering, economics,
psychology, and social sciences. This book presents new
advanced methods and related R codes to perform complex
multivariate analyses. The prerequisites are a standard
course in statistics and some background in
multivariate analysis and R software. Dario Basso is a
Post Doctoral Fellow at the Department of Management
and Engineering of University of Padova His main
research interests include permutation tests and design
of experiments. Fortunato Pesarin is Full Professor of
Statistics at the Department of Statistics of the
University of Padova. His main research interests
include nonparametric methods, bootstrap methods, and
permutation tests. He has?published a leading book on
multivariate permutation tests based on nonparametric
combination methodology. Luigi Salmaso is Associate
Professor of Statistics at the Department of Management
and Engineering of the University of Padova. His main
research interests include permutation methods,
multiple tests, and design of experiments. He has
published more than 70 papers on permutation methods
and design of experiments in international
peer-reviewed journals. Aldo Solari is a Post Doctoral
Fellow at the Department of Chemical Process
Engineering of the University of Padova. His main
research interest is resampling-based multiple testing
methods.",
acknowledgement = ack-nhfb,
subject = "Permutations; Stochastic orders; Analysis of variance;
R (Computer program language)",
tableofcontents = "Permutation tests \\
Ordinal data \\
Multivariate ordinal data \\
Multivariate continuous data \\
Non-parametric one-way ANOVA \\
Synchronized permutation tests in two-way ANOVA \\
Permutation tests for unreplicated factorial designs",
}
@Article{Benaglia:2009:MRP,
author = "Tatiana Benaglia and Didier Chauveau and David R.
Hunter and Derek S. Young",
title = "{\tt mixtools}: An {R} Package for Analyzing Mixture
Models",
journal = j-J-STAT-SOFT,
volume = "32",
number = "6",
pages = "??--??",
month = oct,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-28; Accepted 2009-08-18",
}
@Article{Berry:2009:BRB,
author = "Diane Berry",
title = "Book Review: {{\booktitle{R Programming for
Bioinformatics}}, by R. Gentleman}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "172",
number = "3",
pages = "696--696",
month = jun,
year = "2009",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2009.00595_5.x;
https://doi.org/10.2307/20622535",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:15 MST 2015",
bibsource = "http://www.jstor.org/stable/i20622520;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/20622535",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "18 May 2009",
}
@Article{Bornkamp:2009:MRP,
author = "Bj{\"o}rn Bornkamp and Jos{\'e} Pinheiro and Frank
Bretz",
title = "{{\tt MCPMod}}: An {R} Package for the Design and
Analysis of Dose-Finding Studies",
journal = j-J-STAT-SOFT,
volume = "29",
number = "7",
pages = "??--??",
month = feb,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-05-15; Accepted 2009-01-22",
}
@Article{Boshnakov:2009:BRT,
author = "Georgi N. Boshnakov",
title = "Book Review: {{\booktitle{Time series analysis with
applications in R series}}: Springer texts in
statistics, 2nd edition}",
journal = j-J-TIME-SER-ANAL,
volume = "30",
number = "6",
pages = "708--709",
month = nov,
year = "2009",
CODEN = "JTSADL",
DOI = "https://doi.org/10.1111/j.1467-9892.2009.00625.x",
ISSN = "0143-9782 (print), 1467-9892 (electronic)",
ISSN-L = "0143-9782",
bibdate = "Tue Mar 5 16:29:26 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Time Series Analysis",
journal-URL = "https://onlinelibrary.wiley.com/journal/14679892",
onlinedate = "16 October 2009",
}
@Article{Bowman:2009:BRB,
author = "Adrian Bowman",
title = "Book Review: {{\booktitle{Morphometrics with R}}}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "BR-1",
pages = "??--??",
month = sep,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-19; Accepted 2009-09-19",
}
@Book{Broman:2009:GQM,
author = "Karl W. Broman and Saunak Sen",
title = "A Guide to {QTL} Mapping with {R/qtl}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 396",
year = "2009",
DOI = "https://doi.org/10.1007/978-0-387-92125-9",
ISBN = "0-387-92124-9 (hardcover), 0-387-92125-7 (e-book)",
ISBN-13 = "978-0-387-92124-2 (hardcover), 978-0-387-92125-9
(e-book)",
ISSN = "1431-8776",
LCCN = "QH447 .B755 2009",
bibdate = "Sat Jun 27 08:49:22 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics for biology and health",
acknowledgement = ack-nhfb,
subject = "Genomics; Statistical methods; Gene mapping;
Chromosome Mapping; methods; Quantitative Trait Loci;
genetics; statistics and numerical data; G\'enomique;
Statistiques; Cartographie chromosomique;
G\'en\'etique; statistiques et donn\'ees num\'eriques;
Bioinformatik; QTL; R (Programm)",
tableofcontents = "Introduction \\
Importing and simulating data \\
Data checking \\
Single-QTL analysis \\
Non-normal phenotypes \\
Experimental design and power \\
Working with covariates \\
Two-dimensional, two-QTL scans \\
Fit and exploration of multiple-QTL models \\
Case study I \\
Case study II \\
A. Installing R and R/qtl \\
B. List of functions in R/qtl \\
C. QTL mapping data sets \\
D. Hidden Markov models for QTL mapping",
}
@Article{Buckeridge:2009:BRS,
author = "David Buckeridge",
title = "Book Review: {{\booktitle{Statistical Methods for
Environmental Epidemiology with R: a Case Study in Air
Pollution and Health}}, by Peng, R. D. and Dominici,
F.}",
journal = j-BIOMETRICS,
volume = "65",
number = "3",
pages = "996--997",
month = sep,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01315_10.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:20 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 September 2009",
}
@Article{Burr:2009:BRBa,
author = "Thomas L. Burr",
title = "Book Review: {{\booktitle{Simulation and Inference for
Stochastic Differential Equations With R Examples}} by
Stefano Iacus}",
journal = j-TECHNOMETRICS,
volume = "51",
number = "3",
pages = "340--341",
month = aug,
year = "2009",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586630",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:30 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025249;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/40586630",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Campbell:2009:BRS,
author = "Dave Campbell",
title = "Book Review: {{\booktitle{Simulation and Inference for
Stochastic Differential Equations with R Examples}}, by
Iacus, S. M.}",
journal = j-BIOMETRICS,
volume = "65",
number = "1",
pages = "335--336",
month = mar,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01208_10.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:18 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "17 March 2009",
}
@Article{Chopin:2009:BRJ,
author = "Nicolas Chopin",
title = "Book Review: {Jim Albert: \booktitle{Bayesian
computation with R}}",
journal = j-STAT-COMPUT,
volume = "19",
number = "1",
pages = "111--112",
month = mar,
year = "2009",
CODEN = "STACE3",
DOI = "https://doi.org/10.1007/s11222-008-9069-8",
ISSN = "0960-3174 (print), 1573-1375 (electronic)",
ISSN-L = "0960-3174",
bibdate = "Sat Jan 31 12:22:09 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statcomput.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s11222-008-9069-8",
acknowledgement = ack-nhfb,
fjournal = "Statistics and Computing",
journal-URL = "http://link.springer.com/journal/11222",
}
@Article{Christ:2009:BRB,
author = "Aaron Christ",
title = "Book Review: {{\booktitle{Mixed Effects Models and
Extensions in Ecology with R}}}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "BR-1",
pages = "??--??",
month = nov,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-08; Accepted 2009-11-08",
}
@Book{Clarke:2009:PTD,
author = "Bertrand Salem Clarke and Ernest Fokou{\'e} and Hao
Helen Zhang",
title = "Principles and Theory for Data Mining and Machine
Learning",
volume = "??",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 781",
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1007/978-0-387-98135-2",
ISBN = "0-387-98134-9, 0-387-98135-7 (e-book)",
ISBN-13 = "978-0-387-98134-5, 978-0-387-98135-2 (e-book)",
ISSN = "0172-7397",
ISSN-L = "0172-7397",
LCCN = "QA76.9.D343 C53 2009",
bibdate = "Thu Jun 19 06:41:21 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer Series in Statistics",
URL = "http://link.springer.com/book/10.1007/978-0-387-98135-2",
abstract = "This book is a thorough introduction to the most
important topics in data mining and machine learning.
It begins with a detailed review of classical function
estimation and proceeds with chapters on nonlinear
regression, classification, and ensemble methods. The
final chapters focus on clustering, dimension
reduction, variable selection, and multiple
comparisons. All these topics have undergone
extraordinarily rapid development in recent years and
this treatment offers a modern perspective emphasizing
the most recent contributions. The presentation of
foundational results is detailed and includes many
accessible proofs not readily available outside
original sources. While the orientation is conceptual
and theoretical, the main points are regularly
reinforced by computational comparisons. Intended
primarily as a graduate level textbook for statistics,
computer science, and electrical engineering students,
this book assumes only a strong foundation in
undergraduate statistics and mathematics, and facility
with using R packages. The text has a wide variety of
problems, many of an exploratory nature. There are
numerous computed examples, complete with code, so that
further computations can be carried out readily. The
book also serves as a handbook for researchers who want
a conceptual overview of the central topics in data
mining and machine learning. Bertrand Clarke is a
Professor of Statistics in the Department of Medicine,
Department of Epidemiology and Public Health, and the
Center for Computational Sciences at the University of
Miami. He has been on the Editorial Board of the
Journal of the American Statistical Association, the
Journal of Statistical Planning and Inference, and
Statistical Papers. He is co-winner, with Andrew
Barron, of the 1990 Browder J. Thompson Prize from the
Institute of Electrical and Electronic Engineers.
Ernest Fokoue is an Assistant Professor of Statistics
at Kettering University. He has also taught at Ohio
State University and been a long term visitor at the
Statistical and Mathematical Sciences Institute where
he was a Post-doctoral Research Fellow in the Data
Mining and Machine Learning Program. In 2000, he was
the winner of the Young Researcher Award from the
International Association for Statistical Computing.
Hao Helen Zhang is an Associate Professor of Statistics
in the Department of Statistics at North Carolina State
University. For 2003-2004, she was a Research Fellow at
SAMSI and in 2007, she won a Faculty Early Career
Development Award from the National Science Foundation.
She is on the Editorial Board of the Journal of the
American Statistical Association and Biometrics.",
acknowledgement = ack-nhfb,
remark = "Most volumes in this series are unnumbered.",
series-URL = "http://link.springer.com/bookseries/692",
subject = "Data mining; Machine learning; Artificial
Intelligence; Data mining; Machine learning.",
tableofcontents = "Variability, information, prediction \\
Kernel smoothing \\
Spline smoothing \\
New wave nonparametrics \\
Supervised learning: Partition methods \\
Alternative nonparametrics \\
Computational comparisons \\
Unsupervised learning: Clustering \\
Learning in high dimensions \\
Variable selection \\
Multiple testing",
}
@Book{Cowpertwait:2009:ITS,
author = "Paul S. P. Cowpertwait and Andrew V. Metcalfe",
title = "Introductory Time Series with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 254",
year = "2009",
DOI = "https://doi.org/10.1007/978-0-387-88698-5",
ISBN = "0-387-88697-4",
ISBN-13 = "978-0-387-88697-8",
LCCN = "QA280 .C69 2009",
bibdate = "Tue Sep 6 08:09:31 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy1002/2009928496-d.htm;
http://www.loc.gov/catdir/enhancements/fy1002/2009928496-t.htm",
acknowledgement = ack-nhfb,
shorttableofcontents = "1: Time Series Data / 1 \\
2: Correlation / 27 \\
3: Forecasting Strategies / 45 \\
4: Basic Stochastic Models / 67 \\
5: Regression / 91 \\
6: Stationary Models / 121 \\
7: Non-stationary Models / 137 \\
8: Long-Memory Processes / 159 \\
9: Spectral Analysis / 171 \\
10: System Identification / 201 \\
11: Multivariate Models / 211 \\
12: State Space Models / 229 \\
References / 247 \\
Index / 249",
subject = "time-series analysis; R (computer program language)",
tableofcontents = "Preface / vii \\
1: Time Series Data / 1 \\
1.1 Purpose / 1 \\
1.2 Time series / 2 \\
1.3 R language / 3 \\
1.4 Plots, trends, and seasonal variation / 4 \\
1.4.1 A flying start: Air passenger bookings / 4 \\
1.4.2 Unemployment: Maine / 7 \\
1.4.3 Multiple time series: Electricity, beer and
chocolate data / 10 \\
1.4.4 Quarterly exchange rate: GBP to NZ dollar / 14
\\
1.4.5 Global temperature series / 16 \\
1.5 Decomposition of series / 19 \\
1.5.1 Notation / 19 \\
1.5.2 Models / 19 \\
1.5.3 Estimating trends and seasonal effects / 20 \\
1.5.4 Smoothing / 21 \\
1.5.5 Decomposition in R / 22 \\
1.6 Summary of commands used in examples / 24 \\
1.7 Exercises / 24 \\
2: Correlation / 27 \\
2.1 Purpose / 27 \\
2.2 Expectation and the ensemble / 27 \\
2.2.1 Expected value / 27 \\
2.2.2 The ensemble and stationarity / 30 \\
2.2.3 Ergodic series* / 31 \\
2.2.4 Variance function / 32 \\
2.2.5 Autocorrelation / 33 \\
2.3 The correlogram / 35 \\
2.3.1 General discussion / 35 \\
2.3.2 Example based on air passenger series / 37 \\
2.3.3 Example based on the Font Reservoir series / 40
\\
2.4 Covariance of sums of random variables / 41 \\
2.5 Summary of commands used in examples / 42 \\
2.6 Exercises / 42 \\
3: Forecasting Strategies / 45 \\
3.1 Purpose / 45 \\
3.2 Leading variables and associated variables / 45 \\
3.2.1 Marine coatings / 45 \\
3.2.2 Building approvals publication / 46 \\
3.2.3 Gas supply / 49 \\
3.3 Bass model / 51 \\
3.3.1 Background / 51 \\
3.3.2 Model definition / 51 \\
3.3.3 Interpretation of the Bass model* / 51 \\
3.3.4 Example / 52 \\
3.4 Exponential smoothing and the Holt--Winters method
/ 55 \\
3.4.1 Exponential smoothing / 55 \\
3.4.2 Holt--Winters method / 59 \\
3.4.3 Four-year-ahead forecasts for the air passenger
data / 62 \\
3.5 Summary of commands used in examples / 64 \\
3.6 Exercises / 64 \\
4: Basic Stochastic Models / 67 \\
4.1 Purpose / 67 \\
4.2 White noise / 68 \\
4.2.1 Introduction / 68 \\
4.2.2 Definition / 68 \\
4.2.3 Simulation in R / 68 \\
4.2.4 Second-order properties and the correlogram / 69
\\
4.2.5 Fitting a white noise model / 70 \\
4.3 Random walks / 71 \\
4.3.1 Introduction / 71 \\
4.3.2 Definition / 71 \\
4.3.3 The backward shift operator / 71 \\
4.3.4 Random walk: Second-order properties / 72 \\
4.3.5 Derivation of second-order properties* / 72 \\
4.3.6 The difference operator / 72 \\
4.3.7 Simulation / 73 \\
4.4 Fitted models and diagnostic plots / 74 \\
4.4.1 Simulated random walk series / 74 \\
4.4.2 Exchange rate series / 75 \\
4.4.3 Random walk with drift / 77 \\
4.5 Autoregressive models / 79 \\
4.5.1 Definition / 79 \\
4.5.2 Stationary and non-stationary AR processes / 79
\\
4.5.3 Second-order properties of an AR(1) model / 80
\\
4.5.4 Derivation of second-order properties for an
AR(1) process* / 80 \\
4.5.5 Correlogram of an AR(1) process / 81 \\
4.5.6 Partial autocorrelation / 81 \\
4.5.7 Simulation / 81 \\
4.6 Fitted models / 82 \\
4.6.1 Model fitted to simulated series / 82 \\
4.6.2 Exchange rate series: Fitted AR model / 84 \\
4.6.3 Global temperature series: Fitted AR model / 85
\\
4.7 Summary of R commands / 87 \\
4.8 Exercises / 87 \\
5: Regression / 91 \\
5.1 Purpose / 91 \\
5.2 Linear models / 92 \\
5.2.1 Definition / 92 \\
5.2.2 Stationarity / 93 \\
5.2.3 Simulation / 93 \\
5.3 Fitted models / 94 \\
5.3.1 Model fitted to simulated data / 94 \\
5.3.2 Model fitted to the temperature series
(1970-2005) / 95 \\
5.3.3 Autocorrelation and the estimation of sample
statistics* / 96 \\
5.4 Generalised least squares / 98 \\
5.4.1 GLS fit to simulated series / 98 \\
5.4.2 Confidence interval for the trend in the
temperature series / 99 \\
5.5 Linear models with seasonal variables / 99 \\
5.5.1 Introduction / 99 \\
5.5.2 Additive seasonal indicator variables / 99 \\
5.5.3 Example: Seasonal model for the temperature
series / 100 \\
5.6 Harmonic seasonal models / 101 \\
5.6.1 Simulation / 102 \\
5.6.2 Fit to simulated series / 103 \\
5.6.3 Harmonic model fitted to temperature series
(1970-2005)105 5.7 Logarithmic transformations / 109
\\
5.7.1 Introduction / 109 \\
5.7.2 Example using the air passenger series / 109 \\
5.8 Non-linear models / 113 \\
5.8.1 Introduction / 113 \\
5.8.2 Example of a simulated and fitted non-linear
series / 113 \\
5.9 Forecasting from regression / 115 \\
5.9.1 Introduction / 115 \\
5.9.2 Prediction in R / 115 \\
5.10 Inverse transform and bias correction / 115 \\
5.10.1 Log-normal residual errors / 115 \\
5.10.2 Empirical correction factor for forecasting
means / 117 \\
5.10.3 Example using the air passenger data / 117 \\
5.11 Summary of R commands / 118 \\
5.12 Exercises / 118 \\
6: Stationary Models / 121 \\
6.1 Purpose / 121 \\
6.2 Strictly stationary series / 121 \\
6.3 Moving average models / 122 \\
6.3.1 MA(g) process: Definition and properties / 122
\\
6.3.2 R examples: Correlogram and simulation / 123 \\
6.4 Fitted MA models / 124 \\
6.4.1 Model fitted to simulated series / 124 \\
6.4.2 Exchange rate series: Fitted MA model / 126 \\
6.5 Mixed models: The ARMA process / 127 \\
6.5.1 Definition / 127 \\
6.5.2 Derivation of second-order properties* / 128 \\
6.6 ARMA models: Empirical analysis / 129 \\
6.6.1 Simulation and fitting / 129 \\
6.6.2 Exchange rate series / 129 \\
6.6.3 Electricity production series / 130 \\
6.6.4 Wave tank data / 133 \\
6.7 Summary of R commands / 135 \\
6.8 Exercises / 135 \\
7: Non-stationary Models / 137 \\
7.1 Purpose / 137 \\
7.2 Non-seasonal ARIMA models / 137 \\
7.2.1 Differencing and the electricity series / 137 \\
7.2.2 Integrated model / 138 \\
7.2.3 Definition and examples / 139 \\
7.2.4 Simulation and fitting / 140 \\
7.2.5 IMA(1, 1) model fitted to the beer production
series / 141 \\
7.3 Seasonal ARIMA models / 142 \\
7.3.1 Definition / 142 \\
7.3.2 Fitting procedure / 143 \\
7.4 ARCH models / 145 \\
7.4.1 S&P500 series / 145 \\
7.4.2 Modelling volatility: Definition of the ARCH
model / 147 \\
7.4.3 Extensions and GARCH models / 148 \\
7.4.4 Simulation and fitted GARCH model / 149 \\
7.4.5 Fit to S&P500 series / 150 \\
7.4.6 Volatility in climate series / 152 \\
7.4.7 GARCH in forecasts and simulations / 155 \\
7.5 Summary of R commands / 155 \\
7.6 Exercises / 155 \\
8: Long-Memory Processes / 159 \\
8.1 Purpose / 159 \\
8.2 Fractional differencing / 159 \\
8.3 Fitting to simulated data / 161 \\
8.4 Assessing evidence of long-term dependence / 164
\\
8.4.1 Nile minima / 164 \\
8.4.2 Bellcore Ethernet data / 165 \\
8.4.3 Bank loan rate / 166 \\
8.5 Simulation / 167 \\
8.6 Summary of additional commands used / 168 \\
8.7 Exercises / 168 \\
9: Spectral Analysis / 171 \\
9.1 Purpose / 171 \\
9.2 Periodic signals / 171 \\
9.2.1 Sine waves / 171 \\
9.2.2 Unit of measurement of frequency / 172 \\
9.3 Spectrum / 173 \\
9.3.1 Fitting sine waves / 173 \\
9.3.2 Sample spectrum / 175 \\
9.4 Spectra of simulated series / 175 \\
9.4.1 White noise / 175 \\
9.4.2 AR(1): Positive coefficient / 177 \\
9.4.3 AR(1): Negative coefficient / 178 \\
9.4.4 AR(2) / 178 \\
9.5 Sampling interval and record length / 179 \\
9.5.1 Nyquist frequency / 181 \\
9.5.2 Record length / 181 \\
9.6 Applications / 183 \\
9.6.1 Wave tank data / 183 \\
9.6.2 Fault detection on electric motors / 183 \\
9.6.3 Measurement of vibration dose / 184 \\
9.6.4 Climatic indices / 187 \\
9.6.5 Bank loan rate / 189 \\
9.7 Discrete Fourier transform (DFT)* / 190 \\
9.8 The spectrum of a random process* / 192 \\
9.8.1 Discrete white noise / 193 \\
9.8.2 AR / 193 \\
9.8.3 Derivation of spectrum / 193 \\
9.9 Autoregressive spectrum estimation / 194 \\
9.10 Finer details / 194 \\
9.10.1 Leakage / 194 \\
9.10.2 Confidence intervals / 195 \\
9.10.3 Daniell windows / 196 \\
9.10.4 Padding / 196 \\
9.10.5 Tapering / 197 \\
9.10.6 Spectral analysis compared with wavelets / 197
\\
9.11 Summary of additional commands used / 197 \\
9.12 Exercises / 198 \\
10: System Identification / 201 \\
10.1 Purpose / 201 \\
10.2 Identifying the gain of a linear system / 201 \\
10.2.1 Linear system / 201 \\
10.2.2 Natural frequencies / 202 \\
10.2.3 Estimator of the gain function / 202 \\
10.3 Spectrum of an AR(p) process / 203 \\
10.4 Simulated single mode of vibration system / 203
\\
10.5 Ocean-going tugboat / 205 \\
10.6 Non-linearity / 207 \\
10.7 Exercises / 208 \\
11: Multivariate Models / 211 \\
11.1 Purpose / 211 \\
11.2 Spurious regression / 211 \\
11.3 Tests for unit roots / 214 \\
11.4 Cointegration / 216 \\
11.4.1 Definition / 216 \\
11.4.2 Exchange rate series / 218 \\
11.5 Bivariate and multivariate white noise / 219 \\
11.6 Vector autoregressive models / 220 \\
11.6.1 VAR model fitted to US economic series / 222 \\
11.7 Summary of R commands / 227 \\
11.8 Exercises / 227 \\
12: State Space Models / 229 \\
12.1 Purpose / 229 \\
12.2 Linear state space models / 230 \\
12.2.1 Dynamic linear model / 230 \\
12.2.2 Filtering* / 231 \\
12.2.3 Prediction* / 232 \\
12.2.4 Smoothing* / 233 \\
12.3 Fitting to simulated univariate time series / 234
\\
12.3.1 Random walk plus noise model / 234 \\
12.3.2 Regression model with time-varying coefficients
/ 236 \\
12.4 Fitting to univariate time series / 238 \\
12.5 Bivariate time series - river salinity / 239 \\
12.6 Estimating the variance matrices / 242 \\
12.7 Discussion / 243 \\
12.8 Summary of additional commands used / 244 \\
12.9 Exercises / 244 \\
References / 247 \\
Index / 249",
}
@Article{Cule:2009:LRP,
author = "Madeleine Cule and Robert B. Gramacy and Richard
Samworth",
title = "{{\tt LogConcDEAD}}: An {R} Package for Maximum
Likelihood Estimation of a Multivariate Log-Concave
Density",
journal = j-J-STAT-SOFT,
volume = "29",
number = "2",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-07-07; Accepted 2008-12-14",
}
@Article{Dahl:2009:RAR,
author = "David B. Dahl and Scott Crawford",
title = "{{\tt RinRuby}}: Accessing the {R} Interpreter from
Pure {Ruby}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "4",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-07-03; Accepted 2008-11-26",
}
@Article{deLeeuw:2009:BRBa,
author = "Jan de Leeuw",
title = "Book Review: {{\booktitle{Nonlinear Regression with
R}}}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "BR-6",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/b06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-04; Accepted 2009-01-04",
}
@Article{deLeeuw:2009:BRBb,
author = "Jan de Leeuw",
title = "Book Review: {{\booktitle{Statistical Methods for
Environmental Epidemiology with R}}}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "BR-7",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/b07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-05; Accepted 2009-01-05",
}
@Article{deLeeuw:2009:BRBc,
author = "Jan de Leeuw",
title = "Book Review: {{\booktitle{R Programming for
Bioinformatics}}}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "BR-8",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/b08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-10; Accepted 2009-01-10",
}
@Article{deLeeuw:2009:GMO,
author = "Jan de Leeuw and Patrick Mair",
title = "{Gifi} Methods for Optimal Scaling in {R}: The Package
{\tt homals}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "4",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-06; Accepted 2009-07-23",
}
@Article{deLeeuw:2009:IOR,
author = "Jan de Leeuw and Kurt Hornik and Patrick Mair",
title = "Isotone Optimization in {R}: Pool-Adjacent-Violators
Algorithm ({PAVA}) and Active Set Methods",
journal = j-J-STAT-SOFT,
volume = "32",
number = "5",
pages = "??--??",
month = oct,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-27; Accepted 2009-09-30",
}
@Article{deLeeuw:2009:MSU,
author = "Jan de Leeuw and Patrick Mair",
title = "Multidimensional Scaling Using Majorization: {SMACOF}
in {R}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "3",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-28; Accepted 2009-06-03",
}
@Article{deLeeuw:2009:SCC,
author = "Jan de Leeuw and Patrick Mair",
title = "Simple and Canonical Correspondence Analysis Using the
{R} Package {\tt anacor}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "5",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-25; Accepted 2009-06-18",
}
@Article{Deviere:2009:ALD,
author = "Elisabeth D{\'e}vi{\`e}re",
title = "Analyzing linguistic data: a practical introduction to
statistics using {R}",
journal = j-J-APPL-STAT,
volume = "36",
number = "4",
pages = "471--472",
month = apr,
year = "2009",
CODEN = "????",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Wed Aug 25 11:41:56 MDT 2010",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Manual{Dormann:2009:ASB,
author = "Carsten F. Dormann and Ingolf K{\"u}hn",
title = "{Angewandte Statistik f{\"u}r die biologischen
Wissenschaften}. ({German}) [{Applied} Statistics for
the Biological Sciences]",
pages = "x + 245",
year = "2009",
bibdate = "Thu Jan 22 07:53:17 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/contrib/Dormann+Kuehn_AngewandteStatistik.pdf",
acknowledgement = ack-nhfb,
language = "German",
}
@Article{Eddelbuettel:2009:BRBa,
author = "Dirk Eddelbuettel",
title = "Book Review: {{\booktitle{Computational Statistics: An
Introduction to R}}}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "BR-2",
pages = "??--??",
month = dec,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-12-22; Accepted 2009-12-22",
}
@Article{Eddelbuettel:2009:BRBb,
author = "Dirk Eddelbuettel",
title = "Book Review: {{\booktitle{Analysis of Integrated and
Cointegrated Time Series with R (2nd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "BR-5",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/b05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-27; Accepted 2009-04-27",
}
@Article{Eddelbuettel:2009:BRBc,
author = "Dirk Eddelbuettel",
title = "Book Review: {{\booktitle{Applied Econometrics with
R}}}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "BR-14",
pages = "??--??",
month = feb,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/b14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-02-25; Accepted 2009-02-25",
}
@Article{Eugster:2009:SMH,
author = "Manuel J. A. Eugster and Friedrich Leisch",
title = "From {Spider-Man} to Hero --- Archetypal Analysis in
{R}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "8",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-11; Accepted 2009-04-21",
}
@Article{Fewster:2009:BRE,
author = "Rachel M. Fewster",
title = "Book Review: {{\booktitle{Ecological Models and Data
in R}}, by Bolker, B. M.}",
journal = j-BIOMETRICS,
volume = "65",
number = "2",
pages = "669--670",
month = jun,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_11.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:19 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 May 2009",
}
@Book{Foulkes:2009:ASG,
author = "Andrea S. Foulkes",
title = "Applied Statistical Genetics with {R}: for
Population-based Association Studies",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiii + 252",
year = "2009",
DOI = "https://doi.org/10.1007/978-0-387-89554-3",
ISBN = "0-387-89553-1",
ISBN-13 = "978-0-387-89553-6",
LCCN = "QH438.4.S73 F68 2009",
bibdate = "Thu Jul 10 09:30:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://springerlink.com/openurl.asp?genre=book&isbn=978-0-387-89553-6;
http://www.loc.gov/catdir/enhancements/fy0913/2009284624-d.html;
http://www.loc.gov/catdir/enhancements/fy0913/2009284624-t.html",
abstract = "The vast array of molecular level information now
available presents exciting opportunities to
characterize the genetic underpinnings of complex
diseases while discovering novel biological pathways to
disease progression. In this introductory graduate
level text, Dr. Foulkes elucidates core concepts that
undergird the wide range of analytic techniques and
software tools for the analysis of data derived from
population-based genetic investigations. Applied
Statistical Genetics with R offers a clear and cogent
presentation of several fundamental statistical
approaches that researchers from multiple disciplines,
including medicine, public health, epidemiology,
statistics and computer science, will find useful in
exploring this emerging field. Couched in the language
of biostatistics, this text can be easily adopted for
public health and medical school curricula. The text
covers key genetic data concepts and statistical
principles to provide the reader with a strong
foundation in methods for candidate gene and
genome-wide association studies. These include methods
for unobservable haplotypic phase, multiple testing
adjustments, and high-dimensional data analysis.
Emphasis is on analysis of data arising from studies of
unrelated individuals and the potential interplay among
genetic factors and more traditional, epidemiological
risk factors for disease. While theoretically rigorous,
the analytic techniques are presented at a level that
will appeal to researchers and students with limited
knowledge of statistical genetics. The text assumes the
reader has completed a first course in biostatistics,
uses publicly available data sets for illustration, and
provides extensive examples using the open source,
publicly available statistical software environment
R.",
acknowledgement = ack-nhfb,
subject = "Genetics; Statistical methods; R (Computer program
language); Genetics, Population; methods; Epidemiologic
Methods; Automatic Data Processing; Models,
Statistical; Statistical methods.; R (Computer program
language)",
tableofcontents = "Genetic Association Studies \\
Overview of population-based investigations \\
Data components and terminology \\
Data examples \\
Elementary Statistical Principles \\
Background measures and tests of association \\
Analytic challenges \\
Genetic Data Concepts and Tests \\
Linkage disequilibrium (LD) \\
Hardy--Weinberg equilibrium (HWE) \\
Quality control and preprocessing \\
Multiple Comparison Procedures \\
Measures of error \\
Single-step and step-down adjustments \\
Resampling-based methods \\
Alternative paradigms \\
Methods for Unobservable Phase \\
Haplotype estimation \\
Estimating and testing for haplotype-trait association
\\
Classification and Regression Trees \\
Building a tree \\
Optimal trees \\
Additional Topics in High-Dimensional Data Analysis \\
Random forests \\
Logic regression \\
Multivariate adaptive regression splines \\
Bayesian variable selection \\
Further readings",
}
@Article{Fox:2009:EDR,
author = "John Fox and Jangman Hong",
title = "Effect Displays in {R} for Multinomial and
Proportional-Odds Logit Models: Extensions to the {\tt
effects} Package",
journal = j-J-STAT-SOFT,
volume = "32",
number = "1",
pages = "??--??",
month = oct,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-17; Accepted 2009-09-22",
}
@Article{Fox:2009:VHT,
author = "John Fox and Michael Friendly and Georges Monette",
title = "Visualizing hypothesis tests in multivariate linear
models: the \pkg{heplots} package for {R}",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "233--246",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0120-1",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0120-1",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Gentleman:2009:RPB,
author = "Robert Gentleman",
title = "{R} programming for bioinformatics",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xii + 314",
year = "2009",
ISBN = "1-4200-6367-7",
ISBN-13 = "978-1-4200-6367-7",
LCCN = "QH324.2 .G46 2009",
bibdate = "Thu Jul 10 08:49:26 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC computer science and data
analysis series",
URL = "http://www.loc.gov/catdir/enhancements/fy0901/2008011352-d.html;
http://www.loc.gov/catdir/toc/fy0805/2008011352.html",
abstract = "The Bioconductor project was initiated in 2001 to
provide a resource of R packages that specifically
address bioinformatics problems. This book provides an
overview of techniques to develop R programming skills
for bioinformatics. It covers R language fundamentals,
object-oriented programming in R, and foreign language
interfaces.",
acknowledgement = ack-nhfb,
author-dates = "1959--",
subject = "Bioinformatics; R (Computer program language)",
tableofcontents = "Introducing R \\
R language fundamentals \\
Object-oriented programming in R \\
Input and output in R \\
Working with character data \\
Foreign language interfaces \\
R packages \\
Data technologies \\
Debugging and profiling",
}
@Article{Giorgino:2009:CVD,
author = "Toni Giorgino",
title = "Computing and Visualizing Dynamic Time Warping
Alignments in {R}: The {\tt dtw} Package",
journal = j-J-STAT-SOFT,
volume = "31",
number = "7",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-09-30; Accepted 2009-06-26",
}
@Book{Giudici:2009:ADM,
author = "Paolo Giudici and Silvia Figini",
title = "Applied data mining for business and industry",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Second",
pages = "viii + 249",
year = "2009",
ISBN = "0-470-05886-2 (cloth), 0-470-05887-0 (paperback),
0-470-74582-7 (e-book)",
ISBN-13 = "978-0-470-05886-2 (cloth), 978-0-470-05887-9
(paperback), 978-0-470-74582-3 (e-book)",
LCCN = "QA76.9.D343 G75 2009",
bibdate = "Wed Sep 15 09:35:49 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470058862.html",
acknowledgement = ack-nhfb,
subject = "data mining; business; data processing; commercial
statistics",
}
@Article{Grasman:2009:FCC,
author = "Raoul Grasman and Han L. J. van der Maas and Eric-Jan
Wagenmakers",
title = "Fitting the Cusp Catastrophe in {R}: a {\tt cusp}
Package Primer",
journal = j-J-STAT-SOFT,
volume = "32",
number = "8",
pages = "??--??",
month = nov,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-10; Accepted 2009-05-09",
}
@Article{Grun:2009:AGE,
author = "Bettina Gr{\"u}n and Achim Zeileis",
title = "Automatic Generation of Exams in {R}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "10",
pages = "??--??",
month = feb,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-10; Accepted 2009-02-17",
}
@Article{Harner:2009:JJR,
author = "E. James Harner and Dajie Luo and Jun Tan",
title = "{JavaStat}: a {Java\slash R}-based statistical
computing environment",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "295--302",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0131-y",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/java2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0131-y",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Heiberger:2009:RTE,
author = "Richard M. Heiberger and Erich Neuwirth",
title = "{R} through {Excel}: a spreadsheet interface for
statistics, data analysis, and graphics",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxv + 342",
year = "2009",
ISBN = "1-4419-0051-9 (paperback), 1-4419-0052-7 (e-book)",
ISBN-13 = "978-1-4419-0051-7 (paperback), 978-1-4419-0052-4
(e-book)",
LCCN = "QA276.45.R3 H45 2009",
bibdate = "Thu Jul 10 09:51:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
author-dates = "1945--",
subject = "Microsoft Excel (Computer file); Microsoft Excel
(Computer file); Mathematical statistics; Data
processing; Graphical modeling (Statistics); R
(Computer program language); EXCEL.; R (Programm);
EXCEL.; R (Programm); Graphical modeling (Statistics);
Data processing.; R (Computer program language)",
tableofcontents = "1. Getting started \\
2. Using RExcel and R Commander \\
3. Getting data into R \\
4. Normal and t distributions \\
5. Normal and t workbook \\
6. t-Tests \\
7. One-way ANOVA \\
8. Simple linear regression \\
9. What is least squares? \\
10. Multiple regression \\
two X-variables \\
11. Polynomial regression \\
12. Multiple regression \\
three or more X-variables \\
13. Contingency tables and the chi-square test \\
A. Installation of RExcel \\
B. Nuisances \\
installation, startup, or execution",
}
@Article{Helmreich:2009:PRP,
author = "James E. Helmreich and Robert M. Pruzek",
title = "{{\tt PSAgraphics}}: An {R} Package to Support
Propensity Score Analysis",
journal = j-J-STAT-SOFT,
volume = "29",
number = "6",
pages = "??--??",
month = feb,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-09-24; Accepted 2008-12-22",
}
@Book{Heritier:2009:RMB,
editor = "Stephane Heritier and others",
title = "Robust methods in biostatistics",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xiv + 268",
year = "2009",
ISBN = "0-470-02726-6 (cloth), 0-470-74054-X (e-book)",
ISBN-13 = "978-0-470-02726-4 (cloth), 978-0-470-74054-5
(e-book)",
LCCN = "QH323.5 .R615 2009",
bibdate = "Wed Sep 15 09:35:27 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470027266.html",
acknowledgement = ack-nhfb,
subject = "biometry; statistical methods; methods",
tableofcontents = "Key measures and results \\
Linear regression \\
Mixed linear models \\
Generalized linear models \\
Marginal longitudinal data analysis \\
Survival analysis",
}
@Article{Hlynka:2009:BRBa,
author = "Myron Hlynka",
title = "Book Review: {{\booktitle{A First Course in
Statistical Programming With R}} by W. John Braun;
Duncan J. Murdoch}",
journal = j-TECHNOMETRICS,
volume = "51",
number = "3",
pages = "340--340",
month = aug,
year = "2009",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586629",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:30 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025249;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/40586629",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Hoef:2009:BRA,
author = "Jay M. Ver Hoef",
title = "Book Review: {{\booktitle{Applied Spatial Data
Analysis with R}}. by Bivand, R. S., Pebesma, E. J.,
and Gomez-Rubio, V.}",
journal = j-BIOMETRICS,
volume = "65",
number = "2",
pages = "660--661",
month = jun,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_1.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:19 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 May 2009",
}
@Article{Hoffmann:2009:FMA,
author = "Thomas J. Hoffmann and Nan M. Laird",
title = "{\tt fgui}: a Method for Automatically Creating
Graphical User Interfaces for Command-Line {R}
Packages",
journal = j-J-STAT-SOFT,
volume = "30",
number = "2",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-10-01; Accepted 2009-03-02",
}
@Book{Horgan:2009:PRI,
author = "Jane M. Horgan",
title = "Probability with {R}: an introduction with computer
science applications",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xviii + 393",
year = "2009",
ISBN = "0-470-28073-5 (cloth)",
ISBN-13 = "978-0-470-28073-7 (cloth)",
LCCN = "QA76.9.M35 H863 2009",
bibdate = "Wed Sep 15 09:37:35 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/benfords-law.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/toc/ecip0819/2008022817.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470280735.html",
acknowledgement = ack-nhfb,
subject = "computer science; mathematics; probabilities; R
(computer programming language)",
}
@Article{Hornik:2009:OSM,
author = "Kurt Hornik and Christian Buchta and Achim Zeileis",
title = "Open-source machine learning: {R} meets {Weka}",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "225--232",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0119-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0119-7",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Hu:2009:BRA,
author = "Feifang Hu",
title = "Book Review: {{\booktitle{Adaptive Design Theory and
Implementation Using SAS and R}}, by Chang, M.}",
journal = j-BIOMETRICS,
volume = "65",
number = "2",
pages = "668--669",
month = jun,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_10.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:19 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 May 2009",
}
@Article{Johnson:2009:BRT,
author = "Timothy D. Johnson",
title = "Book Review: {{\booktitle{Time Series Analysis with
Applications in R}}, 2nd edition by Cryer, J. D. and
Chan, K.-S.}",
journal = j-BIOMETRICS,
volume = "65",
number = "1",
pages = "337--337",
month = mar,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01208_12.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:18 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "17 March 2009",
}
@Book{Klemela:2009:SMD,
author = "Jussi Klemel{\"a}",
title = "Smoothing of multivariate data: density estimation and
visualization",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xxvi + 603",
year = "2009",
ISBN = "0-470-29088-9",
ISBN-13 = "978-0-470-29088-0",
LCCN = "QA278 .K584 2009",
bibdate = "Wed Sep 15 09:37:57 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy1012/2008032166-b.html;
http://www.loc.gov/catdir/enhancements/fy1012/2008032166-d.html;
http://www.loc.gov/catdir/toc/ecip0824/2008032166.html;
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470290889.html",
acknowledgement = ack-nhfb,
subject = "smoothing (statistics); estimation theory; analysis of
variance",
}
@Article{Komarek:2009:NRP,
author = "Arno{\v{s}}t Kom{\'a}rek",
title = "A new {R} package for {Bayesian} estimation of
multivariate normal mixtures allowing for selection of
the number of components and interval-censored data",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "53",
number = "12",
pages = "3932--3947",
day = "1",
month = oct,
year = "2009",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947309001935",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{laGrange:2009:BIB,
author = "Anthony la Grange and Ni{\"e}l le Roux and Sugnet
Gardner-Lubbe",
title = "{{\tt BiplotGUI}}: Interactive Biplots in {R}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "12",
pages = "??--??",
month = jun,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-07-29; Accepted 2009-03-17",
}
@Article{Lang:2009:MPA,
author = "Duncan Temple Lang",
title = "A modest proposal: an approach to making the internal
{R} system extensible",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "271--281",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0127-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0127-7",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Lang:2009:WMD,
author = "Duncan Temple Lang",
title = "Working with meta-data from {C\slash C++} code in {R}:
the \pkg{RGCCTranslationUnit} package",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "283--293",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0128-6",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0128-6",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Lawrence:2009:EGP,
author = "Michael Lawrence and Hadley Wickham and Dianne Cook
and Heike Hofmann and Deborah F. Swayne",
title = "Extending the {GGobi} pipeline from {R}",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "195--205",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0115-y",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0115-y",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Lenth:2009:RSM,
author = "Russell V. Lenth",
title = "Response-Surface Methods in {R}, Using {\tt rsm}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "7",
pages = "??--??",
month = oct,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-04; Accepted 2009-10-19",
}
@Article{Ligges:2009:BRC,
author = "Uwe Ligges",
title = "Book Review: {Crawley, M. J. (2007) \booktitle{The R
Book}}",
journal = j-STAT-PAPERS,
volume = "50",
number = "2",
pages = "445--446",
month = mar,
year = "2009",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-008-0118-3",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Sun Feb 1 10:12:29 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s00362-008-0118-3",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Luoma:2009:SBR,
author = "Arto Luoma",
title = "Short Book Review: {{\booktitle{Simulation and
Inference for Stochastic Differential Equations: With R
Examples}} by Stefano M. Iacus}",
journal = j-INT-STAT-REV,
volume = "77",
number = "1",
pages = "163--163",
month = apr,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00074_19.x;
https://doi.org/10.2307/27919714",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919684;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919714",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "26 Mar 2009",
}
@Article{Lupi:2009:URC,
author = "Claudio Lupi",
title = "Unit Root {CADF} Testing with {R}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "2",
pages = "??--??",
month = oct,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-29; Accepted 2009-08-10",
}
@Article{Maindonald:2009:SBRb,
author = "John H. Maindonald",
title = "Short Book Review: {{\booktitle{Morphometrics with R}}
by Julien Claude; Michel Baylac; Emmanuel Paradis;
Tristan Stayton}",
journal = j-INT-STAT-REV,
volume = "77",
number = "2",
pages = "302--303",
month = aug,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00085_3.x;
https://doi.org/10.2307/27919731",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919718;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919731",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "2 Jul 2009",
}
@Article{Maloney:2009:BRB,
author = "Laurence T. Maloney",
title = "Book Review: {{\booktitle{Introduction to Probability
with R}}}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "BR-1",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-27; Accepted 2009-04-27",
}
@Article{Meredith:2009:TRE,
author = "Evan Meredith and Jeffrey S. Racine",
title = "Towards reproducible econometric research: the {{\tt
Sweave}} framework",
journal = j-J-APPL-ECONOMETRICS,
volume = "24",
number = "2",
pages = "366--374",
month = mar,
year = "2009",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.1030",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:23 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/litprog.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "24 February 2009",
}
@Article{Meyer:2009:GCS,
author = "David Meyer and Kurt Hornik",
title = "Generalized and Customizable Sets in {R}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "2",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-21; Accepted 2009-06-11",
}
@Article{Morris:2009:BRW,
author = "Jeffrey S. Morris",
title = "Book Review: {{\booktitle{Wavelet Methods in
Statistics with R}}, by Nason, G. P.}",
journal = j-BIOMETRICS,
volume = "65",
number = "2",
pages = "667--668",
month = jun,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01247_9.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:19 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 May 2009",
}
@Book{Muenchen:2009:RSS,
author = "Robert A. Muenchen",
title = "{R} for {SAS} and {SPSS} users",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvii + 470",
year = "2009",
ISBN = "0-387-09417-2",
ISBN-13 = "978-0-387-09417-5",
bibdate = "Sat Jun 13 09:29:38 MDT 2009",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.bibsys.no:2100/BIBSYS",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
subject = "SAS (computer file); SPSS (computer file); R (computer
programming language)",
tableofcontents = "1. Introduction \\
2. The Five Main Parts of SAS and SPSS \\
3. Programming Conventions \\
4. Typographic Conventions \\
5. Installing and Updating R \\
6. Running R \\
7. Help and Documentation \\
8. Programming Language Basics \\
9. Data Acquisition \\
10. Selecting Variables --- Var, Variables = \\
11. Selecting Observations --- Where, If, Select If,
Filter \\
12. Selecting Both Variables and Observations \\
13. Converting Data Structures \\
14. Data Management \\
15. Value Labels or Formats (and Measurement Level) \\
16. Variable Labels \\
17. Generating Data \\
18. How R Stores Data \\
20. Graphics Overview \\
21. Traditional Graphics \\
22. Graphics with ggplot2 (GPL) \\
23. Statistics \\
24. Conclusion \\
App. A. A Glossary of R Jargon \\
App. B. A Comparison of SAS and SPSS Products with R
Packages and Functions \\
App. C. Automating Your Settings \\
App. D. A comparison of the major attributes of SAS and
SPSS to R",
}
@Article{Murrell:2009:IVG,
author = "Paul Murrell",
title = "Importing Vector Graphics: The {{\tt grImport}}
Package for {R}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "4",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-16; Accepted 2009-02-27",
}
@Article{Murrell:2009:QCS,
author = "Paul Murrell and Stephen Gardiner",
title = "Quality Control for Statistical Graphics: The {{\tt
graphicsQC}} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "1",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-08; Accepted 2009-02-25",
}
@Article{Murrell:2009:RG,
author = "Paul Murrell",
title = "{R} Graphics",
journal = j-WIRES,
volume = "2",
number = "5",
pages = "216--220",
month = sep # "\slash " # oct,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.22",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:49:33 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "19 August 2009",
}
@Article{Myers:2009:BRBc,
author = "Donald E. Myers",
title = "Book Review: {{\booktitle{Applied Econometrics With
R}} by Christian Klieber; Achim Zeileis}",
journal = j-TECHNOMETRICS,
volume = "51",
number = "4",
pages = "484--485",
month = nov,
year = "2009",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586665",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:31 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025250;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/40586665",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ng:2009:BRB,
author = "Hon Keung Tony Ng",
title = "Book Review: {{\booktitle{Probability and Statistics
With R}} by Maria Dolores Ugarte; Ana F. Militino; Alan
T. Arnholt}",
journal = j-TECHNOMETRICS,
volume = "51",
number = "2",
pages = "220--220",
month = may,
year = "2009",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586606",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:29 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025248;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/40586606",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Nordhausen:2009:SBRb,
author = "Klaus Nordhausen",
title = "Short Book Review: {{\booktitle{A First Course in
Statistical Programming with R}} by W. John Braun,
Duncan J. Murdoch}",
journal = j-INT-STAT-REV,
volume = "77",
number = "2",
pages = "317--317",
month = aug,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00085_19.x;
https://doi.org/10.2307/27919747",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919718;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919747",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "2 Jul 2009",
}
@Article{OBrien:2009:SBRd,
author = "C. M. O'Brien",
title = "Short Book Review: {{\booktitle{Wavelet Methods in
Statistics with R}} by G. P. Nason}",
journal = j-INT-STAT-REV,
volume = "77",
number = "1",
pages = "159--159",
month = apr,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00074_15.x;
https://doi.org/10.2307/27919710",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919684;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919710",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "26 Mar 2009",
}
@Article{OBrien:2009:SBRe,
author = "C. M. O'Brien",
title = "Short Book Review: {{\booktitle{Introduction to
Scientific Programming and Simulation Using R}} by [E.
Stuart] Owen-Jones, Robert Maillardet, Andrew
Robinson}",
journal = j-INT-STAT-REV,
volume = "77",
number = "3",
pages = "471--471",
month = dec,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00095_8.x;
https://doi.org/10.2307/27919776",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919757;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919776",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "29 Oct 2009",
}
@Article{OBrien:2009:SBRg,
author = "C. M. O'Brien",
title = "Short Book Review: {{\booktitle{Nonlinear Regression
with R}} by Christian Ritz, Jens Carl Streibig}",
journal = j-INT-STAT-REV,
volume = "77",
number = "3",
pages = "473--473",
month = dec,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00095_10.x;
https://doi.org/10.2307/27919778",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919757;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919778",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "29 Oct 2009",
}
@Book{Owen-Jones:2009:ISP,
author = "E. Stuart Owen-Jones and Robert Maillardet and Andrew
(Andrew P.) Robinson",
title = "Introduction to scientific programming and simulation
with using {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xix + 453",
year = "2009",
ISBN = "1-4200-6872-5",
ISBN-13 = "978-1-4200-6872-6",
LCCN = "Q183.9 .J66 2009",
bibdate = "Fri Nov 16 08:26:36 MST 2012",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
subject = "R (Langage de programmation); Sciences; Informatique;
Simulation par ordinateur; Processus stochastiques;
Mod{\`e}les math{\'e}matiques",
tableofcontents = "I. Programming \\
Setting up \\
R as a calculating environment \\
Basic programming \\
I/O: input and output \\
Programming with functions \\
Sophisticated data structures \\
Better graphics \\
Pointers to further programming techniques \\
II. Numerical techniques \\
Numerical accuracy and program efficiency \\
Root-finding \\
Numerical integration \\
Optimisation \\
III. Probability and statistics \\
Probability \\
Random variables \\
Discrete random variables \\
Continuous random variables \\
Parameter estimation \\
Simulation \\
Monte-Carlo integration \\
Variance reduction \\
Case studies \\
Student projects \\
Glossary of R commands \\
Programs and functions developed in the text",
}
@Article{Parsons:2009:RMP,
author = "Nick R. Parsons and Matthew L. Costa and Juul Achten
and Nigel Stallard",
title = "Repeated measures proportional odds logistic
regression analysis of ordinal score data in the
statistical software package {R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "53",
number = "3",
pages = "632--641",
day = "15",
month = jan,
year = "2009",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:37 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947308003939",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Book{Petris:2009:DLM,
author = "Giovanni Petris and Sonia Petrone and Patrizia
Campagnoli",
title = "Dynamic Linear Models with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 251",
year = "2009",
ISBN = "0-387-77237-5, 0-387-77238-3",
ISBN-13 = "978-0-387-77237-0, 978-0-387-77238-7",
LCCN = "QA276.45.R3 P48 2009",
bibdate = "Tue Sep 6 08:11:40 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy1108/2009926480-d.htm",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Linear models
(Statistics); Data processing; State-space methods",
tableofcontents = "Introduction: basic notions about Bayesian
inference \\
Dynamic linear models \\
Model specification \\
Models with unknown parameters \\
Sequential Monte Carlo methods \\
Appendix A: Useful distributions \\
Appendix B: Matrix algebra: singular value
decomposition",
}
@Article{Picka:2009:BRB,
author = "Jeffrey Picka",
title = "Book Review: {{\booktitle{Introduction to Probability
With R}} by K. Baclawski}",
journal = j-TECHNOMETRICS,
volume = "51",
number = "2",
pages = "221--221",
month = may,
year = "2009",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586607",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:29 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025248;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2000.bib",
URL = "http://www.jstor.org/stable/40586607",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Pienaar:2009:BRB,
author = "Jacques A. Pienaar",
title = "Book Review: {{\booktitle{Probability and statistics
with R}}}",
journal = j-J-APPL-STAT,
volume = "36",
number = "6",
pages = "703--704",
month = jun,
year = "2009",
CODEN = "????",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Wed Aug 25 11:41:56 MDT 2010",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Ugarte:2008:PSR}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Polasek:2009:BRP,
author = "Wolfgang Polasek",
title = "Book Review: {Phillip I. Good (2005):
\booktitle{Introduction to Statistics Through
Resampling Methods and R\slash S-PLUS (Paperback);
Phillip I. Good (2005): \booktitle{Introduction to
Statistics Through Resampling Methods and Microsoft
Office Excel} (Paperback)}}",
journal = j-STAT-PAPERS,
volume = "50",
number = "3",
pages = "673--675",
month = jun,
year = "2009",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-008-0131-6",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Sun Feb 1 10:12:30 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-008-0131-6",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Polzehl:2009:SAS,
author = "J{\"o}rg Polzehl and Karsten Tabelow",
title = "Structural Adaptive Smoothing in Diffusion Tensor
Imaging: The {R} Package {\tt dti}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "9",
pages = "??--??",
month = sep,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-12; Accepted 2009-06-25",
}
@Book{Ramsay:2009:FDA,
author = "J. O. (James O.) Ramsay and Giles Hooker and Spencer
Graves",
title = "Functional Data Analysis with {R} and {MATLAB}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xi + 207",
year = "2009",
ISBN = "0-387-98184-5 (paperback), 0-387-98185-3 (e-book)",
ISBN-13 = "978-0-387-98184-0 (paperback), 978-0-387-98185-7
(e-book)",
LCCN = "QA278 .R365 2009",
bibdate = "Wed Jul 9 10:37:43 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "MATLAB; Multivariate analysis; Data processing; R
(Computer program language); Datenanalyse; MATLAB; R
(Programm)",
tableofcontents = "Introduction to functional data analysis \\
Essential comparisons of the Matlab and R languages \\
How to specify basis systems for building functions \\
How to build functional data objects \\
Smoothing: computing curves from noisy data \\
Descriptions of functional data \\
Exploring variation: functional principal and canonical
components analysis \\
Registration: aligning features for samples of curves
\\
Functional linear models for scalar responses \\
Linear models for functional responses \\
Functional models and dynamics \\
Symbol table",
}
@Article{Reese:2009:BRBa,
author = "R. Allan Reese",
title = "Book Review: {{\booktitle{R for SAS and SPSS Users}},
by R. A. Muenchen}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "172",
number = "3",
pages = "697--698",
month = jun,
year = "2009",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2009.00595_7.x;
https://doi.org/10.2307/20622537",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:15 MST 2015",
bibsource = "http://www.jstor.org/stable/i20622520;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/20622537",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "18 May 2009",
}
@Book{Ritz:2009:NRR,
author = "Christian Ritz",
title = "Nonlinear regression with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiii + 252",
year = "2009",
DOI = "https://doi.org/10.1007/978-0-387-09616-2",
ISBN = "0-387-09615-9",
ISBN-13 = "978-0-387-09615-5",
LCCN = "????",
bibdate = "Thu Jul 10 08:46:18 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Regresi{\'o}n (Estad{\'i}stica); R (Lenguaje de
programaci{\'o}n)",
}
@Article{Robinson:2009:BRB,
author = "Andrew Robinson",
title = "Book Review: {{\booktitle{Adaptive design theory and
implementation using SAS and R}}}",
journal = j-J-APPL-STAT,
volume = "36",
number = "6",
pages = "701--702",
month = jun,
year = "2009",
CODEN = "????",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Wed Aug 25 11:41:56 MDT 2010",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Rosenblad:2009:BRJ,
author = "Andreas Rosenblad",
title = "Book Review: {J. J. Faraway: \booktitle{Extending the
linear model with R: generalized linear, mixed effects
and nonparametric regression models}}",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "369--370",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-009-0152-1",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-009-0152-1",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Rufibach:2009:CSR,
author = "Kaspar Rufibach",
title = "Code Snippet: reporttools: {R} Functions to Generate
{LaTeX} Tables of Descriptive Statistics",
journal = j-J-STAT-SOFT,
volume = "31",
number = "CS-1",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-13; Accepted 2009-05-05",
}
@Article{Sabatti:2009:BRB,
author = "Chiara Sabatti and Christophe Lalanne",
title = "Book Review: {{\booktitle{Applied Statistical Genetics
with R for Population-Based Association Studies}}}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "BR-2",
pages = "??--??",
month = sep,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-19; Accepted 2009-09-19",
}
@Book{Sawitzki:2009:CSIa,
author = "G{\"u}nther Sawitzki",
title = "Computational statistics: an introduction to {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xiv + 251 + 8",
year = "2009",
ISBN = "1-4200-8678-2 (hardcover)",
ISBN-13 = "978-1-4200-8678-2 (hardcover)",
LCCN = "QA276.45.R3 S29 2009",
bibdate = "Thu Jul 10 08:57:23 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://catdir.loc.gov/catdir/toc/fy0904/2008042298.html",
abstract = "Suitable for a compact course or self-study,
Computational Statistics: An Introduction to R
illustrates how to use the freely available R software
package for data analysis, statistical programming, and
graphics. Integrating R code and examples throughout,
the text only requires basic knowledge of statistics
and computing.\par
This introduction covers one-sample analysis and
distribution diagnostics, regression, two-sample
problems and comparison of distributions, and
multivariate analysis. It uses a range of examples to
demonstrate how R can be employed to tackle statistical
problems. In addition, the handy appendix includes a
collection of R language elements and functions,
serving as a quick reference and starting point to
access the rich information that comes bundled with
R.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing; R; (Programmiersprache);
Datenanalyse.; Datenanalyse; R (Programmiersprache); R
<Programm>; Statistik.; Data processing.; R (Computer
program language)",
tableofcontents = "1 Basic data analysis \\
R programming conventions \\
Generation of random numbers and patterns \\
Random numbers \\
Patterns \\
Case study: distribution diagnostics \\
Distribution functions \\
Histograms \\
Barcharts \\
Statistics of distribution functions;
Kolmogorov-Smirnov tests \\
Monte Carlo confidence bands \\
Statistics of histograms and related plots; X2-tests
\\
Moments and quantiles \\
R complements \\
Random numbers \\
Graphical comparisons \\
Functions \\
Enhancing graphical displays \\
R internals \\
parse \\
eval \\
print \\
Executing files \\
Packages \\
Statistical summary \\
Literature and additional references \\
2 Regression \\
General regression model \\
Linear model \\
Factors \\
Least squares estimation \\
Regression diagnostics \\
More examples for linear models \\
Model formulae \\
Gauss-Markov estimator and residuals \\
Variance decomposition and analysis of variance \\
Simultaneous inference \\
Scheff{\'e}'s confidence bands \\
Tukey's confidence intervals \\
Case study: titre plates \\
Beyond linear regression \\
Transformations \\
Generalised linear models \\
Local regression \\
R complements \\
Discretisation \\
External data \\
Testing software \\
R data types \\
Classes and polymorphic functions \\
Extractor functions \\
Statistical summary \\
Literature and additional references \\
3 Comparisons \\
Shift/scale families, and stochastic order \\
QQ plot, PP plot, and comparison of distributions \\
Kolmogorov-Smirnov tests \\
Tests for shift alternatives \\
Road map \\
Power and confidence \\
Theoretical power and confidence \\
Simulated power and confidence \\
Quantile estimation \\
Qualitative features of distributions \\
Statistical summary \\
Literature and additional references \\
4 Dimensions 1, 2, 3 \ldots{}, c \\
R Complements \\
Dimensions \\
Selections \\
Projections \\
Marginal distributions and scatter plot matrices \\
Projection pursuit \\
Projections for dimensions 1, 2, 3 \ldots{} 7 \\
Parallel coordinates \\
Sections, conditional distributions and coplots \\
Transformations and dimension reduction \\
Higher dimensions \\
Linear case \\
Partial residuals and added variable plots \\
Non-linear case \\
Example: cusp non-linearity \\
Case study: Melbourne temperature data \\
Curse of dimensionality \\
Case study: body fat \\
High dimensions \\
Statistical summary \\
R as a programming language and environment \\
Help and information \\
Names and search paths \\
Administration and customisation \\
Basic data types \\
Output for objects \\
Object inspection \\
System inspection \\
Complex data types \\
Accessing components \\
Data manipulation \\
Operators \\
Functions \\
Debugging and profiling \\
Control structures \\
Input and output to data streams; external data \\
Libraries, packages \\
Mathematical operators and functions; linear algebra
\\
Model descriptions \\
Graphic functions \\
High-level graphics \\
Low-level graphics \\
Annotations and legends \\
Graphic parameters and Llyout \\
Elementary statistical functions \\
Distributions, random numbers, densities \ldots{} \\
Computing on the language",
}
@Article{Schmidberger:2009:SAP,
author = "Markus Schmidberger and Martin Morgan and Dirk
Eddelbuettel and Hao Yu and Luke Tierney and Ulrich
Mansmann",
title = "State of the Art in Parallel Computing with {R}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "1",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-29; Accepted 2009-06-02",
}
@Article{Schwarz:2009:BRM,
author = "Carl James Schwarz",
title = "Book Review: {{\booktitle{Mixed Effects Models and
Extensions in Ecology with R}}, by Zuur, A. F., Ieno,
E. N., Walker, N. J., Saveliev, A. A., and Smith, G.
M.}",
journal = j-BIOMETRICS,
volume = "65",
number = "3",
pages = "992--993",
month = sep,
year = "2009",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2009.01315_4.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:20 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2000.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 September 2009",
}
@Article{Scott:2009:SBRa,
author = "David J. Scott",
title = "Short Book Review: {{\booktitle{Applied Econometrics
with R}} by Christian Kleiber, Achim Zeileis}",
journal = j-INT-STAT-REV,
volume = "77",
number = "1",
pages = "164--164",
month = apr,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00074_20.x;
https://doi.org/10.2307/27919715",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919684;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919715",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "26 Mar 2009",
}
@Book{Sheather:2009:MAR,
author = "Simon J. Sheather",
title = "A Modern Approach to Regression with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiv + 392",
year = "2009",
ISBN = "0-387-09607-8 (hardcover)",
ISBN-13 = "978-0-387-09607-0 (hardcover)",
LCCN = "QA278.2 .S496 2009",
bibdate = "Thu Jul 10 09:34:47 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
acknowledgement = ack-nhfb,
subject = "Regression analysis; R (Computer program language);
Regressieanalyse; R (computerprogramma); Analyse de
r{\'e}gression; R (Langage de programmation)",
tableofcontents = "Introduction \\
Simple linear regression \\
Diagnostics and transformations for simple linear
regression \\
Weighted least squares \\
Multiple linear regression \\
Diagnostics and transformations for multiple linear
regression \\
Variable selection \\
Logistic regression \\
Serially correlated errors \\
Mixed models",
}
@Article{Solymos:2009:PED,
author = "P{\'e}ter S{\'o}lymos",
title = "Processing Ecological Data in {R} with the {\tt mefa}
Package",
journal = j-J-STAT-SOFT,
volume = "29",
number = "8",
pages = "??--??",
month = feb,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-10-09; Accepted 2009-01-04",
}
@Book{Stapleton:2009:LSM,
author = "James H. Stapleton",
title = "Linear statistical models",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Second",
pages = "xii + 474",
year = "2009",
ISBN = "0-470-23146-7 (cloth)",
ISBN-13 = "978-0-470-23146-3 (cloth)",
LCCN = "QA279 .S695 2009",
bibdate = "Wed Sep 15 09:37:14 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470231467.html",
acknowledgement = ack-nhfb,
subject = "linear models (statistics)",
}
@Book{Stevens:2009:PER,
author = "M. Henry H. (Martin Henry Hoffman) Stevens",
title = "A Primer of Ecology with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 401",
year = "2009",
DOI = "https://doi.org/10.1007/978-0-387-89882-7",
ISBN = "0-387-89881-6 (softcover), 0-387-89882-4 (e-but)",
ISBN-13 = "978-0-387-89881-0 (softcover), 978-0-387-89882-7
(e-but)",
LCCN = "QH541.15.S5 S74 2009",
bibdate = "Thu Jul 10 12:37:02 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Ecology; Computer simulation; R (Computer program
language); Philosophy",
}
@Article{Tierney:2009:CAP,
author = "Luke Tierney",
title = "Code analysis and parallelizing vector operations in
{R}",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "217--223",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0117-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0117-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Tierney:2009:SPC,
author = "Luke Tierney and A. J. Rossini and Na Li",
title = "{Snow}: a Parallel Computing Framework for the {R}
System",
journal = j-INT-J-PARALLEL-PROG,
volume = "37",
number = "1",
pages = "78--90",
month = feb,
year = "2009",
CODEN = "IJPPE5",
DOI = "https://doi.org/10.1007/s10766-008-0077-2",
ISSN = "0885-7458 (print), 1573-7640 (electronic)",
ISSN-L = "0885-7458",
bibdate = "Wed Sep 1 16:06:47 MDT 2010",
bibsource = "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=0885-7458&volume=37&issue=1;
https://www.math.utah.edu/pub/tex/bib/intjparallelprogram.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.springerlink.com/openurl.asp?genre=article&issn=0885-7458&volume=37&issue=1&spage=78",
acknowledgement = ack-nhfb,
fjournal = "International Journal of Parallel Programming",
journal-URL = "http://link.springer.com/journal/10766",
}
@Book{Trosset:2009:ISI,
author = "Michael W. (Michael William) Trosset",
title = "An Introduction to Statistical Inference and Its
Applications with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxvii + 467",
year = "2009",
ISBN = "1-58488-947-0 (hardback)",
ISBN-13 = "978-1-58488-947-2 (hardback)",
LCCN = "QA276 .T756 2009",
bibdate = "Sat Jun 27 08:52:53 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
abstract = "Emphasizing concepts rather than recipes,
\booktitle{An Introduction to Statistical Inference and
Its Applications with R} provides a clear exposition of
the methods of statistical inference for students who
are comfortable with mathematical notation. Numerous
examples, case studies, and exercises are included. R
is used to simplify computation, create figures, and
draw pseudorandom samples - not to perform entire
analyses. After discussing the importance of chance in
experimentation, the text develops basic tools of
probability. The plug-in principle then provides a
transition from populations to samples, motivating a
variety of summary statistics and diagnostic
techniques. The heart of the text is a careful
exposition of point estimation, hypothesis testing, and
confidence intervals. The author then explains
procedures for 1- and 2-sample location problems,
analysis of variance, goodness-of-fit, and correlation
and regression. He concludes by discussing the role of
simulation in modern statistical inference.",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Probabilities; R (Computer
program language)",
tableofcontents = "Experiments \\
Mathematical preliminaries \\
Probability \\
Discrete random variables \\
Continuous random variables \\
Quantifying population attributes \\
Data \\
Lots of data \\
Inference \\
1-sample location problems \\
2-sample location problems \\
The analysis of variance \\
Goodness-of-fit \\
Association \\
Simple linear regression \\
Simulation-based inference",
}
@Article{Unlu:2009:FSR,
author = "Ali {\"U}nl{\"u} and Thomas Kiefer and Ehtibar N.
Dzhafarov",
title = "{Fechnerian} Scaling in {R}: The Package {\tt
fechner}",
journal = j-J-STAT-SOFT,
volume = "31",
number = "6",
pages = "??--??",
month = aug,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v31/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-30; Accepted 2009-07-29",
}
@Article{Urbanek:2009:HTS,
author = "Simon Urbanek",
title = "How to talk to strangers: ways to leverage
connectivity between {R}, {Java} and {Objective C}",
journal = j-COMP-STAT,
volume = "24",
number = "2",
pages = "303--311",
month = may,
year = "2009",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-008-0132-x",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/java2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-008-0132-x",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Valero-Mora:2009:BRBa,
author = "Pedro M. Valero-Mora",
title = "Book Review: {{\booktitle{Introductory Statistics with
R (Second Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "29",
number = "BR-10",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/b10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-15; Accepted 2009-01-15",
}
@Article{Valero-Mora:2009:BRBb,
author = "Pedro M. Valero-Mora",
title = "Book Review: {{\booktitle{Interactive and Dynamic
Graphics for Data Analysis: With R and GGobi}}}",
journal = j-J-STAT-SOFT,
volume = "30",
number = "BR-7",
pages = "??--??",
month = may,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/b07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-05-11; Accepted 2009-05-11",
}
@Book{Valiente:2009:CPM,
author = "Gabriel Valiente",
title = "Combinatorial pattern matching algorithms in
computational biology using {Perl} and {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "352",
year = "2009",
ISBN = "1-4200-6973-X (hardcover), 1-4200-6974-8 (e-book)",
ISBN-13 = "978-1-4200-6973-0 (hardcover), 978-1-4200-6974-7
(e-book)",
LCCN = "QH324.2 .V35 2009",
bibdate = "Fri Nov 16 06:34:12 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/string-matching.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC mathematical and computational
biology series",
abstract = "Emphasizing the search for patterns within and between
biological sequences, trees, and graphs, Combinatorial
Pattern Matching Algorithms in Computational Biology
Using Perl and R shows how combinatorial pattern
matching algorithms can solve computational biology
problems that arise in the analysis of genomic,
transcriptomic, proteomic, metabolomic, and
interactomic data. It implements the algorithms in Perl
and R, two widely used scripting languages in
computational biology. The book provides a well-rounded
explanation of traditional issues as well as an
up-to-date account of more recent developments",
acknowledgement = ack-nhfb,
subject = "Computational biology; Pattern formation (Biology);
Computer simulation; Graph algorithms; Perl (Computer
program language); R (Computer program language)",
tableofcontents = "Front Cover \\
Contents \\
Foreword \\
Preface \\
Chapter 1. Introduction \\
Chapter 2. Sequences \\
Chapter 3. Simple Pattern Matching in Sequences \\
Chapter 4. General Pattern Matching in Sequences \\
Chapter 5. Trees \\
Chapter 6. Simple Pattern Matching in Trees \\
Chapter 7. General Pattern Matching in Trees \\
Chapter 8. Graphs \\
Chapter 9. Simple Pattern Matching in Graphs \\
Chapter 10. General Pattern Matching in Graphs \\
Appendix A. Elements of Perl \\
Appendix B. Elements of R \\
References \\
Index \\
Back Cover",
}
@Article{VandenMeersche:2009:CSX,
author = "Karel {Van den Meersche} and Karline Soetaert and Dick
{Van Oevelen}",
title = "Code Snippet: {{\tt xsample()}}: An {R} Function for
Sampling Linear Inverse Problems",
journal = j-J-STAT-SOFT,
volume = "30",
number = "CS-1",
pages = "??--??",
month = apr,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v30/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-05-26; Accepted 2009-03-31",
}
@Article{Varadhan:2009:BRP,
author = "Ravi Varadhan and Paul Gilbert",
title = "{{\tt BB}}: An {R} Package for Solving a Large System
of Nonlinear Equations and for Optimizing a
High-Dimensional Nonlinear Objective Function",
journal = j-J-STAT-SOFT,
volume = "32",
number = "4",
pages = "??--??",
month = oct,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-31; Accepted 2009-06-29",
}
@Article{Vinod:2009:MEB,
author = "Hrishikesh D. Vinod and Javier Lopez-de-Lacalle",
title = "Maximum Entropy Bootstrap for Time Series: The {\tt
meboot} {R} Package",
journal = j-J-STAT-SOFT,
volume = "29",
number = "5",
pages = "??--??",
month = jan,
year = "2009",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v29/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-10-17; Accepted 2008-07-04",
}
@Article{Voelkel:2009:SBR,
author = "Joseph G. Voelkel",
title = "Short Book Review: {{\booktitle{R for SAS and SPSS
Users}} by Robert A. Muenchen}",
journal = j-INT-STAT-REV,
volume = "77",
number = "3",
pages = "465--466",
month = dec,
year = "2009",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2009.00095_3.x;
https://doi.org/10.2307/27919771",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:23 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919757;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919771",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "29 Oct 2009",
}
@Book{Wickham:2009:GEG,
author = "Hadley Wickham",
title = "\pkg{ggplot2}: Elegant Graphics for Data Analysis",
publisher = pub-SV,
address = pub-SV:adr,
pages = "viii + 212",
year = "2009",
ISBN = "0-387-98140-3 (softcover), 0-387-98141-1 (e-book)",
ISBN-13 = "978-0-387-98140-6 (softcover), 978-0-387-98141-3
(e-book)",
LCCN = "QA90 .W53 2009",
bibdate = "Wed Feb 11 11:03:55 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Graphic methods; R (Computer program language);
Datenanalyse.; Graphische Darstellung.; Plot
(Graphische Darstellung); R (Programm);
Visualisierung.",
}
@Book{Zucchini:2009:HMM,
author = "W. Zucchini and Iain L. MacDonald",
title = "Hidden {Markov} models for time series: an
introduction using {R}",
volume = "110",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxii + 275",
year = "2009",
ISBN = "1-58488-573-4 (hardcover)",
ISBN-13 = "978-1-58488-573-3 (hardcover)",
LCCN = "QA280 .Z83 2009",
bibdate = "Thu Jul 10 12:08:53 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Monographs on statistics and applied probability",
abstract = "\booktitle{Hidden Markov Models for Time Series}
presents an accessible overview of hidden Markov models
for analyzing a wide range of time series data,
including discrete-valued, continuous-valued, circular,
and multivariate. Demonstrating how to apply methods to
real world problems, it features applications from a
variety of fields, such as animal behavior,
epidemiology, and finance. It also discusses the
implementation of all of the techniques using R,
illustrating how R can be used for parameter
estimation, model selection, and model checking. With
numerous exercises, this is outstanding both as a text
for graduate students and as a reference for
researchers, practitioners.",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Markov processes; R (Computer
program language)",
tableofcontents = "Part 1. Model structure, properties and methods \\
1. Preliminaries: mixtures and Markov chains \\
2. Hidden Markov models: definition and properties \\
3. Estimation by direct maximization of the likelihood
\\
4. Estimation by the EM algorithm \\
5. Forecasting, decoding and state prediction \\
6. Model selection and checking \\
7. Bayesian inference for Poisson HMMs \\
Part 2. Applications \\
9. Epileptic seizures \\
10. Eruptions of the Old Faithful geyser \\
11. Drosophila speed and change of direction \\
12. Wind direction at Koeberg \\
13. Models for financial series \\
14. Births at Edendale Hospital \\
15. Homicides and suicides in Cape Town \\
16. Animal behaviour model with feedback \\
A. Examples of R code \\
B. Some proofs",
}
@Book{Zuur:2009:BGR,
author = "Alain F. Zuur and Elena N. Ieno and Erik H. W. G.
Meesters",
title = "A Beginner's Guide to {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 218",
year = "2009",
ISBN = "0-387-93836-2 (softcover), 0-387-93837-0 (e-book)",
ISBN-13 = "978-0-387-93836-3 (softcover), 978-0-387-93837-0
(e-book)",
LCCN = "QA276.45.R3 Z88 2009",
bibdate = "Thu Jul 10 09:58:44 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Based on their extensive experience with teaching R
and statistics to applied scientists, the authors
provide a beginner's guide to R. To avoid the
difficulty of teaching R and statistics at the same
time, statistical methods are kept to a minimum. The
text covers how to download and install R, import and
manage data, elementary plotting, an introduction to
functions, advanced plotting, and common beginner
mistakes. This book contains everything you need to
know to get started with R. \par
``Its biggest advantage is that it aims only to teach
R\ldots{}It organizes R commands very efficiently, with
much teaching guidance included. I would describe this
book as being handy--it's the kind of book that you
want to keep in your jacket pocket or backpack all the
time, ready for use, like a Swiss Army knife.''
(Loveday Conquest, University of Washington)
\par
``Whilst several books focus on learning statistics in
R\ldots{}, the authors of this book fill a gap in the
market by focusing on learning R whilst almost
completely avoiding any statistical jargon\ldots{}The
fact that the authors have very extensive experience of
teaching R to absolute beginners shines throughout.''
(Mark Mainwaring, Lancaster University)\par
``Exactly what is needed\ldots{}This is great, nice
work. I love the ecological/biological examples; they
will be an enormous help.'' (Andrew J. Tyne, University
of Nebraska-Lincoln).\par
Alain F. Zuur is senior statistician and director of
Highland Statistics Ltd., a statistical consultancy
company based in the UK. He has taught statistics to
more than 5000 ecologists. He is honorary research
fellow in the School of Biological Sciences, Oceanlab,
at the University of Aberdeen, UK. Elena N. Ieno is
senior marine biologist and co-director at Highland
Statistics Ltd. She has been involved in guiding PhD
students on the design and analysis of ecological data.
She is honorary research fellow in the School of
Biological Sciences, Oceanlab, at the University of
Aberdeen, UK. Erik H. W. G. Meesters is a researcher at
the Dutch Institute for Marine Resources and Ecosystem
Studies (IMARES). He specializes in coral reef ecology
and applied statistics and conducts research on North
Sea benthos and seal ecology.",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; Software; Science;
Statistical methods; Statistical methods; Data
processing; R (Computer program language); Handbooks,
manuals, etc; Mathematical statistics; Data
processing",
tableofcontents = "1. Introduction \\
2. Getting data into R \\
3. Accessing variables and managing subsets of data \\
4. Simple functions \\
5. introduction to basic plotting tools \\
6. Loops and functions \\
7. Graphing tools \\
8. introduction to the lattice package \\
9. Common R mistakes",
}
@Book{Zuur:2009:MEM,
author = "Alain F. Zuur and Elena N. Ieno and Neil J. Walker and
Anatoly A. Saveliev and Graham M. Smith",
title = "Mixed Effects Models and Extensions in Ecology with
{R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxii + 574",
year = "2009",
ISBN = "0-387-87457-7 (hardcover)",
ISBN-13 = "978-0-387-87457-9 (hardcover)",
LCCN = "QH541.15.S72 M59 2009",
bibdate = "Thu Jul 10 08:44:44 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics for biology and health",
acknowledgement = ack-nhfb,
subject = "Ecology; Statistical methods; R (Computer program
language)",
tableofcontents = "Limitations of linear regression applied on
ecological data \\
Things are not always linear: additive modeling \\
Dealing with heterogeneity \\
Mixed effects modeling for nested data \\
Violation of independence. Part 1 \\
Violation of independence. Part 2 \\
Meet the exponential family \\
GLM and GAM for count data \\
GLM and GAM for absence-presence and proportional data
\\
Zero-truncated and zero-inflated models for count data
\\
Generalised estimation equations \\
GLMM and GAMM \\
Estimating trends for Antarctic birds in relation to
climate change / A. F. Zuur \ldots{} [et al.] \\
Large scale impacts of land-use change in a Scottish
farming catchment / A. F. Zuur \ldots{} [et al.] \\
Negative binomial GAM and GAMM to analyse amphibian
roadkills / A. F. Zuur \ldots{} [et al.] \\
Additive mixed modelling applied on deep-sea pelagic
bioluminescent organisms / A. F. Zuur \ldots{} [et al.]
\\
Additive mixed modelling applied on phytoplankton time
series data / A. F. Zuur \ldots{} [et al.] \\
Mixed effects modelling applied on American foulbrood
affecting honey bees larvae / A. F. Zuur \ldots{} [et
al.] \\
Three-way nested data for age determination techniques
applied to cetaceans / E. N. Ieno \ldots{} [et al.] \\
GLMM applied on the spatial distribution of koalas in a
fragmented landscape / J. R. Rhodes \ldots{} [et al.]
\\
A comparison of GLM, GEE, and GLMM applied to badger
activity data / N. J. Walker \ldots{} [et al.] \\
Incorporating temporal correlation in seal abundance
data with MCMC / A. A. Saveliev \ldots{} [et al.] \\
Required pre-knowledge: a linear regression and
additive modelling example",
}
@Article{Abreu:2010:HDG,
author = "Gabriel C. G. Abreu and Rodrigo Labouriau and David
Edwards",
title = "High-Dimensional Graphical Model Search with the {{\tt
gRapHD}} {R} Package",
journal = j-J-STAT-SOFT,
volume = "37",
number = "1",
pages = "??--??",
month = nov,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-19; Accepted 2010-08-23",
}
@Book{Adler:2010:RN,
author = "Joseph Adler",
title = "{R} in a nutshell",
publisher = pub-ORA,
address = pub-ORA:adr,
pages = "xx + 611",
year = "2010",
ISBN = "0-596-80170-X",
ISBN-13 = "978-0-596-80170-0",
LCCN = "QA276.45.R3eb; QA276.45.R3; Internet",
bibdate = "Sun Mar 28 14:59:44 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
melvyl.cdlib.org:210/CDL90",
acknowledgement = ack-nhfb,
remark = "December 2009: first edition.",
subject = "R (computer program language); mathematical
statistics; data processing",
tableofcontents = "1. Getting and installing R \\
2. The R user interface \\
3. A short R tutorial \\
4. R packages \\
5. An overview of the R language \\
6. R syntax \\
7. R objects \\
8. Symbols and environments \\
9. Functions \\
10. Object-oriented programming \\
11. High-performance R \\
12. Saving, loading, and editing data \\
13. Preparing data \\
14. Graphics \\
15. Lattice graphics \\
16. Analyzing data \\
17. Probability distributions \\
18. Statistical tests \\
19. Power tests \\
20. Regression models \\
21. Classification models \\
22. Machine learning \\
23. Time series analysis \\
24. Bioconductor \\
Appendix. R reference",
}
@Article{Alfons:2010:OOF,
author = "Andreas Alfons and Matthias Templ and Peter
Filzmoser",
title = "An Object-Oriented Framework for Statistical
Simulation: The {R} Package {{\tt simFrame}}",
journal = j-J-STAT-SOFT,
volume = "37",
number = "3",
pages = "??--??",
month = nov,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-31; Accepted 2010-09-24",
}
@Article{Almquist:2010:UCS,
author = "Zack W. Almquist",
title = "{US} Census Spatial and Demographic Data in {R}: The
{{\tt UScensus2000}} Suite of Packages",
journal = j-J-STAT-SOFT,
volume = "37",
number = "6",
pages = "??--??",
month = nov,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-29; Accepted 2010-10-04",
}
@Article{Anonymous:2010:BRBb,
author = "Anonymous",
title = "Book Review: {{\booktitle{Analysis of Integrated and
Cointegrated Time Series With R}} (2nd ed.) by Bernhard
Pfaff}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "1",
pages = "145--145",
month = feb,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40586696",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:33 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40025251;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/40586696",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Archer:2010:RRP,
author = "Kellie J. Archer",
title = "{{\tt rpartOrdinal}}: An {R} Package for Deriving a
Classification Tree for Predicting an Ordinal
Response",
journal = j-J-STAT-SOFT,
volume = "34",
number = "7",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-07; Accepted 2010-03-18",
}
@Article{Berger:2010:BRP,
author = "Vance W. Berger",
title = "Book Review: {{\booktitle{Permutation Tests for
Stochastic Ordering and ANOVA: Theory and Applications
with R}}, by Basso, D., Pesarin, F., Salmaso, L., and
Solari, A.}",
journal = j-BIOMETRICS,
volume = "66",
number = "1",
pages = "319--321",
month = mar,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01383.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:21 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "17 March 2010",
}
@Article{Boik:2010:RPA,
author = "John C. Boik and Balasubramanian Narasimhan",
title = "An {R} Package for Assessing Drug Synergism\slash
Antagonism",
journal = j-J-STAT-SOFT,
volume = "34",
number = "6",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-10-03; Accepted 2010-01-27",
}
@Article{Booth:2010:BRBa,
author = "David Booth",
title = "Book Review: {{\booktitle{Computational Statistics: An
Introduction to R}} by Gunther Sawitzki}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "3",
pages = "364--364",
month = aug,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/27867261",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:35 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i27867243;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/27867261",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Boshnakov:2010:BRI,
author = "Georgi N. Boshnakov",
title = "Book Review: {{\booktitle{Introductory Time Series
with R}}}",
journal = j-J-TIME-SER-ANAL,
volume = "31",
number = "5",
pages = "406--406",
month = sep,
year = "2010",
CODEN = "JTSADL",
DOI = "https://doi.org/10.1111/j.1467-9892.2009.00647.x",
ISSN = "0143-9782 (print), 1467-9892 (electronic)",
ISSN-L = "0143-9782",
bibdate = "Tue Mar 5 16:29:28 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Time Series Analysis",
journal-URL = "https://onlinelibrary.wiley.com/journal/14679892",
onlinedate = "16 August 2010",
}
@Article{Bowman:2010:BRB,
author = "Adrian Bowman",
title = "Book Review: {{\booktitle{Functional Data Analysis
with R and MATLAB}}}",
journal = j-J-STAT-SOFT,
volume = "34",
number = "BR-3",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-04-15; Accepted 2010-04-15",
}
@Article{Brooms:2010:BRB,
author = "A. C. Brooms",
title = "Book Review: {{\booktitle{Data Manipulation with
R}}}",
journal = j-J-APPL-STAT,
volume = "37",
number = "12",
pages = "2121--2121",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664760903075531",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Mon Sep 5 18:53:11 MDT 2011",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Spector:2008:DMR}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "19 Nov 2010",
}
@Article{Bulla:2010:HRP,
author = "Jan Bulla and Ingo Bulla and Oleg Nenadi{\'c}",
title = "{\tt hsmm} --- An {R} package for analyzing hidden
semi-{Markov} models",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "54",
number = "3",
pages = "611--619",
day = "1",
month = mar,
year = "2010",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:56 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S016794730800426X",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Burr:2010:BRB,
author = "Tom Burr",
title = "Book Review: {{\booktitle{Functional Data Analysis
With R and MATLAB}} by J. Ramsay; G. Hooker; S.
Graves}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "4",
pages = "466--466",
month = nov,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40997262",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:37 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40045082;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/40997262",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Calcagno:2010:GRP,
author = "Vincent Calcagno and Claire de Mazancourt",
title = "{\tt glmulti}: An {R} Package for Easy Automated Model
Selection with (Generalized) Linear Models",
journal = j-J-STAT-SOFT,
volume = "34",
number = "12",
pages = "??--??",
month = may,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-06-19; Accepted 2010-01-29",
}
@Article{Cardot:2010:BRF,
author = "Herv{\'e} Cardot",
title = "Book Review: {{\booktitle{Functional Data Analysis
with R and Matlab}}, by Ramsay, J. O., Hooker, G., and
Graves, S.}",
journal = j-BIOMETRICS,
volume = "66",
number = "4",
pages = "1312--1313",
month = dec,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01513.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "10 December 2010",
}
@Article{Chang:2010:CRP,
author = "Fang Chang and Weiliang Qiu and Ruben H. Zamar and
Ross Lazarus and Xiaogang Wang",
title = "{\tt clues}: An {R} Package for Nonparametric
Clustering Based on Local Shrinking",
journal = j-J-STAT-SOFT,
volume = "33",
number = "4",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-26; Accepted 2010-01-31",
}
@Article{Chausse:2010:CGM,
author = "Pierre Chauss{\'e}",
title = "Computing Generalized Method of Moments and
Generalized Empirical Likelihood with {R}",
journal = j-J-STAT-SOFT,
volume = "34",
number = "11",
pages = "??--??",
month = may,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-26; Accepted 2010-01-29",
}
@Book{Cornillon:2010:SAR,
author = "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and
Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie
Josse and Maela Kloareg and Eric Matzner-L{\o}ber and
Laurent Rouvi{\`e}re",
title = "Statistiques avec {R}",
publisher = "Presses universitaires de Rennes",
address = "Rennes, France",
edition = "Second",
pages = "v + 274",
year = "2010",
ISBN = "2-7535-1087-3 (paperback)",
ISBN-13 = "978-2-7535-1087-6 (paperback)",
LCCN = "QA276.45R3 C67.2010",
bibdate = "Thu Jul 10 13:10:39 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Pratique de la statistique / [collection] dirig{\'e}e
par {\'E}ric Matzner-L{\o}ber",
URL = "http://catalogue.bnf.fr/ark:/12148/cb42210870p",
acknowledgement = ack-nhfb,
remark = "``Pratique de la statistique'' constitue une autre
forme de titre de la collection.",
subject = "Statistique math{\'e}matique.; R (logiciel).; Gestion;
M{\'e}thodes statistiques; Probl{\`e}mes et exercices.;
Math{\'e}matiques.; Statistiques.; R (logiciel);
statistique; [manuel]; R (Langage de programmation);
Informatique; Logiciels; R (Langage de programmation);
Statistique.",
}
@Article{Cribari-Neto:2010:BRR,
author = "Francisco Cribari-Neto and Achim Zeileis",
title = "Beta Regression in {R}",
journal = j-J-STAT-SOFT,
volume = "34",
number = "2",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-12-14; Accepted 2010-03-14",
}
@Article{Doerge:2010:BRG,
author = "R. W. Doerge",
title = "Book Review: {{\booktitle{A Guide to QTL Mapping with
R/qtl}}, by Broman, K. W. and Sen, S.}",
journal = j-BIOMETRICS,
volume = "66",
number = "2",
pages = "658--659",
month = jun,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01428.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:22 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "01 June 2010",
}
@Article{Fay:2010:EAW,
author = "Michael P. Fay and Pamela A. Shaw",
title = "Exact and Asymptotic Weighted Logrank Tests for
Interval Censored Data: The {\tt interval} {R}
Package",
journal = j-J-STAT-SOFT,
volume = "36",
number = "2",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-02; Accepted 2010-03-18",
}
@Article{Finger:2010:RRS,
author = "Robert Finger",
title = "Review of `Robustbase' software for {R}",
journal = j-J-APPL-ECONOMETRICS,
volume = "25",
number = "7",
pages = "1205--1210",
month = nov # "--" # dec,
year = "2010",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.1194",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:28 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "17 November 2010",
}
@Article{Furrer:2010:SSM,
author = "Reinhard Furrer and Stephan R. Sain",
title = "{{\tt spam}}: a Sparse Matrix {R} Package with
Emphasis on {MCMC} Methods for {Gaussian Markov} Random
Fields",
journal = j-J-STAT-SOFT,
volume = "36",
number = "10",
pages = "??--??",
month = sep,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-07-04; Accepted 2010-05-31",
}
@Book{Gavrilovska:2010:AHP,
editor = "Ada Gavrilovska",
title = "Attaining high performance communications: a vertical
approach",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxxii + 411",
year = "2010",
ISBN = "1-4200-9308-8 (hardcover)",
ISBN-13 = "978-1-4200-9308-7 (hardcover)",
LCCN = "QA76.88 .A77 2010",
bibdate = "Thu Nov 15 17:17:31 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "High performance computing",
}
@Article{Glaab:2010:VRP,
author = "Enrico Glaab and Jonathan M. Garibaldi and Natalio
Krasnogor",
title = "{{\tt vrmlgen}}: An {R} Package for {$3$D} Data
Visualization on the {Web}",
journal = j-J-STAT-SOFT,
volume = "36",
number = "8",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-25; Accepted 2010-06-06",
}
@Article{Gould:2010:BRB,
author = "Robert Gould",
title = "Book Review: {{\booktitle{A Modern Approach to
Regression with R}}}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "BR-3",
pages = "??--??",
month = mar,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-03-16; Accepted 2010-03-16",
}
@Article{Gramacy:2010:CIS,
author = "Robert B. Gramacy and Matthew Alan Taddy",
title = "Categorical Inputs, Sensitivity Analysis, Optimization
and Importance Tempering with {\tt tgp} Version 2, an
{R} Package for Treed {Gaussian} Process Models",
journal = j-J-STAT-SOFT,
volume = "33",
number = "6",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-17; Accepted 2009-12-23",
}
@Article{Gromping:2010:ILE,
author = "Ulrike Gr{\"o}mping",
title = "Inference with Linear Equality and Inequality
Constraints Using {R}: The Package {\tt ic.infer}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "10",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-08-20; Accepted 2009-12-16",
}
@Article{Hadfield:2010:MMM,
author = "Jarrod D. Hadfield",
title = "{MCMC} Methods for Multi-Response Generalized Linear
Mixed Models: The {{\tt MCMCglmm}} {R} Package",
journal = j-J-STAT-SOFT,
volume = "33",
number = "2",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-02-18; Accepted 2009-12-21",
}
@Article{Hahsler:2010:REM,
author = "Michael Hahsler and Margaret H. Dunham",
title = "{{\tt rEMM}}: Extensible {Markov} Model for Data
Stream Clustering in {R}",
journal = j-J-STAT-SOFT,
volume = "35",
number = "5",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-05-26; Accepted 2010-05-10",
}
@Article{Harte:2010:PRP,
author = "David Harte",
title = "{{\tt PtProcess}}: An {R} Package for Modelling Marked
Point Processes Indexed by Time",
journal = j-J-STAT-SOFT,
volume = "35",
number = "8",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-06-11; Accepted 2010-05-03",
}
@Article{Hilbe:2010:BRB,
author = "Joseph Hilbe",
title = "Book Review: {{\booktitle{Introduction to Scientific
Programming and Scientific Simulation Using R}}}",
journal = j-J-STAT-SOFT,
volume = "36",
number = "BR-4",
pages = "??--??",
month = sep,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/b04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-16; Accepted 2010-09-16",
}
@Article{Kahm:2010:GFB,
author = "Matthias Kahm and Guido Hasenbrink and Hella
Lichtenberg-Frat{\'e} and Jost Ludwig and Maik
Kschischo",
title = "{\tt grofit}: Fitting Biological Growth Curves with
{R}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "7",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-07-14; Accepted 2009-06-18",
}
@Article{Karatzoglou:2010:KBM,
author = "Alexandros Karatzoglou and Ingo Feinerer",
title = "Kernel-based machine learning for fast text mining in
{R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "54",
number = "2",
pages = "290--297",
day = "1",
month = feb,
year = "2010",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:42:54 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947309003533",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Book{Keen:2010:GSD,
author = "K. J. Keen",
title = "Graphics for statistics and data analysis with {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xxxiv + 447 + 8",
year = "2010",
ISBN = "1-58488-087-2 (hardcover)",
ISBN-13 = "978-1-58488-087-5 (hardcover)",
LCCN = "QA276.45.R3 K44 2010",
bibdate = "Thu Jul 10 09:54:27 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
URL = "http://www.loc.gov/catdir/enhancements/fy1013/2009053524-b.html",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Graphic methods; Data processing",
tableofcontents = "The graphical display of information \\
Basic charts for the distribution of a single discrete
variable \\
Advanced charts for the distribution of a single
discrete variable \\
Exploratory plots for the distribution of a single
continuous variable \\
Diagnostic plots for the distribution of a continuous
variable \\
Nonparametric density estimation for a single
continuous variable \\
Parametric density estimation for a single continuous
variable \\
Depicting the distribution of two discrete variables
\\
Depicting the distribution of one continuous variable
and one discrete variable \\
Depicting the distribution of two continuous variables
\\
Statistical models for two or more variables \\
Graphical displays for simple linear regression \\
Graphical displays for polynomial regression \\
Visualizing multivariate data",
}
@Article{Kelly:2010:BRA,
author = "Patrick Kelly",
title = "Book Reviews: {{\booktitle{Adaptive design theory and
implementation using SAS and R}}. Mark Chang, Chapman
and Hall\slash CRC, Boca Raton, 2008. No. of pages:
xxii + 418. Price: \$89.95. ISBN 10: 1-58488-962-4,
ISBN 13: 978-1-58488-962-5}",
journal = j-STAT-MED,
volume = "29",
number = "9",
pages = "1058--1058",
day = "30",
month = apr,
year = "2010",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.3838",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:47:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "13 April 2010",
}
@Book{Kleinman:2010:SRD,
author = "Ken Kleinman and Nicholas J. Horton",
title = "{SAS} and {R}: Data Management, Statistical Analysis,
and Graphics",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xix + 323",
year = "2010",
ISBN = "1-4200-7057-6 (hard back)",
ISBN-13 = "978-1-4200-7057-6 (hard back)",
LCCN = "QA76.73.S27 K54 2010",
bibdate = "Thu Jul 10 09:39:50 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Eliminating the need to consult laborious
documentation, this book presents an easy way to learn
how to perform an analytical task in both SAS and R. It
covers many common tasks, along with more complex
applications. The text provides parallel examples in
SAS and R to demonstrate how to use the software and
derive identical answers regardless of software choice.
It also gives insight into the process of statistical
coding from beginning to end by supplying worked
examples of complex coding tasks. The authors include
an index for.",
acknowledgement = ack-nhfb,
subject = "SAS (Computer file); SAS (Computer program language);
R (Computer program language); SAS (Computer program
language); R (Computer program language); Statistics;
Software; Data processing; Data analysis; Statistical
methods; Databehandling; Dataanalyse; Statistiske
metoder; R (Computer program language); SAS (Computer
program language)",
tableofcontents = "Data Management \\
Common Statistical Procedures \\
Linear Regression and ANOVA. Regression Generalizations
\\
Graphics \\
Other Topics and Extended Examples \\
Appendices",
}
@Article{Kohl:2010:RPD,
author = "Matthias Kohl and Peter Ruckdeschel",
title = "{R} Package {{\tt distrMod}}: {S4} Classes and Methods
for Probability Models",
journal = j-J-STAT-SOFT,
volume = "35",
number = "10",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-07; Accepted 2010-04-19",
}
@Article{Kojadinovic:2010:MMD,
author = "Ivan Kojadinovic and Jun Yan",
title = "Modeling Multivariate Distributions with Continuous
Margins Using the {\tt copula} {R} Package",
journal = j-J-STAT-SOFT,
volume = "34",
number = "9",
pages = "??--??",
month = may,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-07-07; Accepted 2010-04-23",
}
@Article{Kuhn:2010:BRB,
author = "Max Kuhn",
title = "Book Review: {{\booktitle{Lattice: Multivariate Data
Visualization With R}} by Deepayan Sarkar}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "3",
pages = "363--364",
month = aug,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/27867260",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:35 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i27867243;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/27867260",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Kume:2010:BRM,
author = "Alfred Kume",
title = "Book Review: {{\booktitle{Morphometrics with R}}, by
Claude, J.}",
journal = j-BIOMETRICS,
volume = "66",
number = "2",
pages = "662--663",
month = jun,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01433.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:22 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "01 June 2010",
}
@Article{Lawrence:2010:RGU,
author = "Michael Lawrence and Duncan Temple Lang",
title = "{RGtk2}: a Graphical User Interface Toolkit for {R}",
journal = j-J-STAT-SOFT,
volume = "37",
number = "8",
pages = "??--??",
month = dec,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-01-30; Accepted 2009-09-23",
}
@Article{Leibovici:2010:STM,
author = "Didier G. Leibovici",
title = "Spatio-Temporal Multiway Data Decomposition Using
Principal Tensor Analysis on $k$-Modes: The {R} Package
{{\tt PTAk}}",
journal = j-J-STAT-SOFT,
volume = "34",
number = "10",
pages = "??--??",
month = may,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-05-08; Accepted 2009-08-19",
}
@Article{Leong:2010:BRB,
author = "Chee Kian Leong",
title = "Book Review: {{\booktitle{R in a Nutshell}}}",
journal = j-J-STAT-SOFT,
volume = "36",
number = "BR-2",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-08-19; Accepted 2010-08-19",
}
@Article{Liu:2010:ICR,
author = "Hai Liu and Kung-Sik Chan",
title = "Introducing {COZIGAM}: An {R} Package for
Unconstrained and Constrained Zero-Inflated Generalized
Additive Model Analysis",
journal = j-J-STAT-SOFT,
volume = "35",
number = "11",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-02-25; Accepted 2009-07-13",
}
@Article{Maindonald:2010:SBRc,
author = "John H. Maindonald",
title = "Short Book Review: {{\booktitle{Introductory Time
Series with R}} by Paul S. P. Cowpertwait, Andrew V.
Metcalfe}",
journal = j-INT-STAT-REV,
volume = "78",
number = "3",
pages = "452--453",
month = dec,
year = "2010",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2010.00122_7.x;
https://doi.org/10.2307/27919869",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:15 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919854;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919869",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Dec 2010",
}
@Article{Mair:2010:GFM,
author = "Patrick Mair and Jan de Leeuw",
title = "A General Framework for Multivariate Analysis with
Optimal Scaling: The {R} Package {\tt aspect}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "9",
pages = "??--??",
month = jan,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-24; Accepted 2009-11-09",
}
@Article{Merl:2010:ARP,
author = "Daniel Merl and Leah R. Johnson and Robert B. Gramacy
and Marc Mangel",
title = "{\tt amei}: An {R} Package for the Adaptive Management
of Epidemiological Interventions",
journal = j-J-STAT-SOFT,
volume = "36",
number = "6",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-06-22; Accepted 2010-06-24",
}
@Article{Migon:2010:BRD,
author = "Helio S. Migon",
title = "Book Review: {{\booktitle{Dynamic Linear Models with
R}}, by Petris, G., Petrone, S. and Campagnoli, P.}",
journal = j-BIOMETRICS,
volume = "66",
number = "4",
pages = "1311--1312",
month = dec,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01512.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "10 December 2010",
}
@Article{Militino:2010:BRB,
author = "Ana F. Militino",
title = "Book Review: {{\booktitle{Statistics and data with
R}}}",
journal = j-J-APPL-STAT,
volume = "37",
number = "2",
pages = "357--358",
month = feb,
year = "2010",
CODEN = "????",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Wed Aug 25 11:41:57 MDT 2010",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Cohen:2008:SDR}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Moreira:2010:DRP,
author = "Carla Moreira and Jacobo de U{\~n}a-{\'A}lvarez and
Rosa M. Crujeiras",
title = "{{\tt DTDA}}: An {R} Package to Analyze Randomly
Truncated Data",
journal = j-J-STAT-SOFT,
volume = "37",
number = "7",
pages = "??--??",
month = nov,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-12-11; Accepted 2010-07-07",
}
@Book{Muenchen:2010:RSU,
author = "Robert A. Muenchen and Joseph M. Hilbe",
title = "{R} for {Stata} users",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiv + 529",
year = "2010",
ISBN = "1-4419-1317-3 (hardcover), 1-4419-1318-1 (e-book)",
ISBN-13 = "978-1-4419-1317-3 (hardcover), 978-1-4419-1318-0
(e-book)",
LCCN = "QA276.45.R3 M85 2010",
bibdate = "Tue Jan 26 07:59:41 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Statistics and computing",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Stata; Statistics; Data
processing",
}
@Article{Muggeo:2010:ATE,
author = "Vito M. R. Muggeo",
title = "Analyzing Temperature Effects on Mortality Within the
{R} Environment: The Constrained Segmented Distributed
Lag Parameterization",
journal = j-J-STAT-SOFT,
volume = "32",
number = "12",
pages = "??--??",
month = jan,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-12-16; Accepted 2009-12-11",
}
@Article{OBrien:2010:SBRd,
author = "Carl M. O'Brien",
title = "Short Book Review: {{\booktitle{Dynamic Linear Models
with R}} by Giovanni Petris, Sonia Petrone, Patrizia
Campagnoli}",
journal = j-INT-STAT-REV,
volume = "78",
number = "1",
pages = "157--157",
month = apr,
year = "2010",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2010.00109_26.x;
https://doi.org/10.2307/27919824",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:15 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919788;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919824",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Apr 2010",
}
@Book{Oja:2010:MNM,
author = "Hannu Oja",
title = "Multivariate Nonparametric Methods with {R}: an
Approach Based on Spatial Signs and Ranks",
volume = "199",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 232",
year = "2010",
DOI = "https://doi.org/10.1007/978-1-4419-0468-3",
ISBN = "1-4419-0467-0 (paperback)",
ISBN-13 = "978-1-4419-0467-6 (paperback)",
ISSN = "0930-0325",
LCCN = "QA276.45.R3 O33 2010",
bibdate = "Sat Jun 27 08:58:30 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Lecture notes in statistics",
abstract = "This book offers a new, fairly efficient, and robust
alternative to analyzing multivariate data. The
analysis of data based on multivariate spatial signs
and ranks proceeds very much as does a traditional
multivariate analysis relying on the assumption of
multivariate normality; the regular L2 norm is just
replaced by different L1 norms, observation vectors are
replaced by spatial signs and ranks, and so on. A
unified methodology starting with the simple one-sample
multivariate location problem and proceeding to the
general multivariate multiple linear regression case is
presented. Companion estimates and tests for scatter
matrices are considered as well. The R package MNM is
available for computation of the procedures. This
monograph provides an up-to-date overview of the theory
of multivariate nonparametric methods based on spatial
signs and ranks. The classical book by Puri and Sen
(1971) uses marginal signs and ranks and different type
of L1 norm. The book may serve as a textbook and a
general reference for the latest developments in the
area. Readers are assumed to have a good knowledge of
basic statistical theory as well as matrix theory.
Hannu Oja is an academy professor and a professor in
biometry in the University of Tampere. He has authored
and coauthored numerous research articles in
multivariate nonparametrical and robust methods as well
as in biostatistics.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Multivariate analysis;
Data processing; Spatial analysis (Statistics);
Nonparametric statistics",
tableofcontents = "Multivariate location and scatter models \\
Location and scatter functionals and sample statistics
\\
Multivariate signs and ranks \\
One-sample problem, Hotelling's T2-test \\
One-sample problem, spatial sign test and spatial
median \\
One-sample problem, spatial signed-rank and
Hodges--Lehmann estimate \\
One-sample problem, comparisons of tests and estimates
\\
One-sample problem, inference for shape \\
Multivariate tests of independence \\
Several-sample location problem \\
Randomized blocks \\
Multivariate linear regression \\
Analysis of cluster-correlated data \\
Some vector and matrix algebra \\
Asymptotical results for methods based on spatial
signs",
}
@Article{Olive:2010:BRBb,
author = "David J. Olive",
title = "Book Review: {{\booktitle{Software for Data Analysis:
Programming With R}} by J. M. Chambers}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "2",
pages = "261--261",
month = may,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/27867236",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:34 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i27867218;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/27867236",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Olive:2010:BRBc,
author = "David J. Olive",
title = "Book Review: {{\booktitle{Mixed Effects Models and
Extensions in Ecology With R}} by A. F. Zuur; E. N.
Ieno; N. J. Walker; A. A. Saveliev; G. M. Smith}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "4",
pages = "464--465",
month = nov,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40997258",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:37 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40045082;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/40997258",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ooms:2010:BRB,
author = "Jeroen Ooms",
title = "Book Review: {{\booktitle{SAS and R}}}",
journal = j-J-STAT-SOFT,
volume = "37",
number = "BR-3",
pages = "??--??",
month = dec,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-01-03; Accepted 2011-01-03",
}
@Article{Pateiro-Lopez:2010:GCH,
author = "Beatriz Pateiro-L{\'o}pez and Alberto
Rodr{\'\i}guez-Casal",
title = "Generalizing the Convex Hull of a Sample: The {R}
Package {\tt alphahull}",
journal = j-J-STAT-SOFT,
volume = "34",
number = "5",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-03; Accepted 2009-07-07",
}
@Article{Petris:2010:RPD,
author = "Giovanni Petris",
title = "An {R} Package for Dynamic Linear Models",
journal = j-J-STAT-SOFT,
volume = "36",
number = "12",
pages = "??--??",
month = oct,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-04-20; Accepted 2010-03-05",
}
@Article{Phillips:2010:CSR,
author = "Kem Phillips",
title = "Code Snippet: {R} Functions to Symbolically Compute
the Central Moments of the Multivariate Normal
Distribution",
journal = j-J-STAT-SOFT,
volume = "33",
number = "CS-1",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-05-21; Accepted 2009-11-20",
}
@Article{Piras:2010:SSM,
author = "Gianfranco Piras",
title = "{\tt sphet}: Spatial Models with Heteroskedastic
Innovations in {R}",
journal = j-J-STAT-SOFT,
volume = "35",
number = "1",
pages = "??--??",
month = jun,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-10-26; Accepted 2010-03-31",
}
@Article{Qian:2010:BRBa,
author = "Lianfen Qian",
title = "Book Review: {{\booktitle{Time Series Analysis With
Applications in R}} (2nd ed.) by Jonathan D. Cryer;
Kung-Sik Chan}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "3",
pages = "365--365",
month = aug,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/27867262",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:35 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i27867243;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/27867262",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Qian:2010:EES,
author = "Song S. Qian",
title = "Environmental and Ecological Statistics with {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xix + 421",
year = "2010",
ISBN = "1-4200-6206-9 (paperback)",
ISBN-13 = "978-1-4200-6206-9 (paperback)",
LCCN = "GE45.S73 Q25 2010",
bibdate = "Thu Jul 21 05:55:19 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC applied environmental
statistics",
acknowledgement = ack-nhfb,
subject = "Environmental sciences; Statistical methods; Ecology;
R (Computer program language)",
}
@Article{Recchia:2010:CSR,
author = "Anthony Recchia",
title = "Code Snippet: {R}-Squared Measures for Two-Level
Hierarchical Linear Models Using {SAS}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "CS-2",
pages = "??--??",
month = jan,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-07-02; Accepted 2009-12-17",
}
@Article{Rizopoulos:2010:JRP,
author = "Dimitris Rizopoulos",
title = "{{\tt JM}}: An {R} Package for the Joint Modelling of
Longitudinal and Time-to-Event Data",
journal = j-J-STAT-SOFT,
volume = "35",
number = "9",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-31; Accepted 2010-07-07",
}
@Book{Robert:2010:IMC,
author = "Christian P. Robert and George Casella",
title = "Introducing {Monte Carlo} methods with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xix + 283",
year = "2010",
DOI = "https://doi.org/10.1007/978-1-4419-1576-4",
ISBN = "1-4419-1576-1 (paperback), 1-4419-1575-3 (paperback)",
ISBN-13 = "978-1-4419-1576-4 (paperback), 978-1-4419-1575-7
(paperback)",
LCCN = "QA298 .R63 2010; QA298; Internet; QA298 .R63 2010eb",
bibdate = "Wed Apr 21 17:03:42 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
melvyl.cdlib.org:210/CDL90",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Monte Carlo method; computer programs; mathematical
statistics; data processing; R (computer program
language); Markov processes",
}
@Book{Rosenbaum:2010:DOS,
author = "Paul R. Rosenbaum",
title = "Design of Observational Studies",
volume = "??",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xviii + 384",
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1007/978-1-4419-1213-8",
ISBN = "1-4419-1212-6 (hardcover), 1-4419-1213-4 (e-book)",
ISBN-13 = "978-1-4419-1212-1 (hardcover), 978-1-4419-1213-8
(e-book)",
ISSN = "0172-7397",
ISSN-L = "0172-7397",
LCCN = "QA279.R669 2010",
bibdate = "Thu Jun 19 06:41:21 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/probstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer Series in Statistics",
URL = "http://link.springer.com/book/10.1007/978-1-4419-1213-8",
acknowledgement = ack-nhfb,
remark = "Most volumes in this series are unnumbered.",
series-URL = "http://link.springer.com/bookseries/692",
subject = "Analysis of variance; Experimental design;
Mathematics",
tableofcontents = "Part I Beginnings \\
1 Dilemmas and Craftsmanship \\
2 Causal Inference in Randomized Experiments \\
3 Two Simple Models for Observational Studies \\
4 Competing Theories Structure Design \\
5 Opportunities, Devices, and Instruments \\
6 Transparency \\
Part II Matching \\
7 A Matched Observational Study \\
8 Basic Tools of Multivariate Matching \\
9 Various Practical Issues in Matching \\
10 Fine Balance \\
11 Matching Without Groups \\
12 Risk-Set Matching \\
13 Matching in R \\
Part III Design Sensitivity \\
14 The Power of a Sensitivity Analysis and Its Limit
\\
15 Heterogeneity and Causality \\
16 Uncommon but Dramatic Responses to Treatment \\
17 Anticipated Patterns of Response \\
Part IV Planning Analysis \\
18 After Matching, Before Analysis \\
19 Planning the Analysis \\
Summary: Key Elements of Design \\
Solutions to Common Problems \\
References \\
Symbols \\
Acronyms \\
Glossary of Statistical Terms \\
Some Books \\
References \\
Suggested Readings for a Course \\
References \\
Index",
}
@Article{Rosenblad:2010:SBRa,
author = "Andreas Rosenblad",
title = "Short Book Review: {{\booktitle{Permutation Tests for
Stochastic Ordering and ANOVA: Theory and Applications
with R}} by Dario Basso, Fortunato Pesarin, Luigi
Salmaso, Aldo Solari}",
journal = j-INT-STAT-REV,
volume = "78",
number = "3",
pages = "446--446",
month = dec,
year = "2010",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2010.00122_2.x;
https://doi.org/10.2307/27919864",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:15 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919854;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919864",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Dec 2010",
}
@Article{Sanchez:2010:BRBa,
author = "Juana Sanchez",
title = "Book Review: {{\booktitle{Introductory Time Series
with R}}}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "BR-4",
pages = "??--??",
month = jan,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/b04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-11; Accepted 2010-01-11",
}
@Article{Sanchez:2010:BRBb,
author = "Juana Sanchez",
title = "Book Review: {{\booktitle{Data Analysis and Graphics
Using R -- An Example-Based Approach (3rd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "36",
number = "BR-6",
pages = "??--??",
month = sep,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/b06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-21; Accepted 2010-09-21",
}
@Article{Sauter:2010:BRB,
author = "Roger M. Sauter",
title = "Book Review: {{\booktitle{Data Manipulation With R}}
(1st ed.) by Phil Spector}",
journal = j-TECHNOMETRICS,
volume = "52",
number = "3",
pages = "365--365",
month = aug,
year = "2010",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/27867263",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:21:35 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i27867243;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/27867263",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Scott:2010:SBRa,
author = "David J. Scott",
title = "Short Book Review: {{\booktitle{R Through Excel: A
Spreadsheet Interface for Statistics, Data Analysis,
and Graphics}} by Richard M. Heiberger, Erich
Neuwirth}",
journal = j-INT-STAT-REV,
volume = "78",
number = "2",
pages = "324--324",
month = aug,
year = "2010",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2010.00118_10.x;
https://doi.org/10.2307/27919849",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:15 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919828;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919849",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "3 Aug 2010",
}
@Article{Scott:2010:SBRb,
author = "David Scott",
title = "Short Book Review: {{\booktitle{Introducing Monte
Carlo Methods with R}} by Christian P. Robert, George
Casella}",
journal = j-INT-STAT-REV,
volume = "78",
number = "3",
pages = "476--477",
month = dec,
year = "2010",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2010.00122_29.x;
https://doi.org/10.2307/27919891",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:15 MDT 2014",
bibsource = "http://www.jstor.org/stable/i27919854;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/27919891",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Dec 2010",
}
@Article{Scutari:2010:LBN,
author = "Marco Scutari",
title = "Learning {Bayesian} Networks with the {\tt bnlearn}
{R} Package",
journal = j-J-STAT-SOFT,
volume = "35",
number = "3",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-30; Accepted 2010-05-13",
}
@Article{Soetaert:2010:BRB,
author = "Karline Soetaert",
title = "Book Review: {{\booktitle{A Primer of Ecology with
R}}}",
journal = j-J-STAT-SOFT,
volume = "32",
number = "BR-3",
pages = "??--??",
month = jan,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v32/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-06; Accepted 2010-01-06",
}
@Article{Soetaert:2010:IMS,
author = "Karline Soetaert and Thomas Petzoldt",
title = "Inverse Modelling, Sensitivity and {Monte Carlo}
Analysis in {R} Using Package {{\tt FME}}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "3",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-22; Accepted 2010-01-18",
}
@Article{Soetaert:2010:SDE,
author = "Karline Soetaert and Thomas Petzoldt and R. Woodrow
Setzer",
title = "Solving Differential Equations in {R}: Package {{\tt
deSolve}}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "9",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-07-17; Accepted 2010-02-12",
}
@Article{Solymos:2010:BRP,
author = "P{\'e}ter S{\'o}lymos",
title = "Book Review: {{\booktitle{A Primer of Ecology with
R}}, by Stevens, M. H. H.}",
journal = j-BIOMETRICS,
volume = "66",
number = "4",
pages = "1309--1310",
month = dec,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01509.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "10 December 2010",
}
@Article{Strobl:2010:BRB,
author = "Carolin Strobl",
title = "Book Review: {{\booktitle{Advances in Social Science
Research Using R}}}",
journal = j-J-STAT-SOFT,
volume = "34",
number = "BR-2",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-04-13; Accepted 2010-04-13",
}
@Book{Suess:2010:IPS,
author = "Eric A. Suess and Bruce E. Trumbo",
title = "Introduction to probability simulation and {Gibbs}
sampling with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 307",
year = "2010",
DOI = "https://doi.org/10.1007/978-0-387-68765-0",
ISBN = "0-387-40273-X (paperback)",
ISBN-13 = "978-0-387-40273-4 (paperback)",
LCCN = "QA276.6 .S84 2010",
bibdate = "Thu Jul 10 10:12:43 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Sampling (Statistics); Probabilities; Simulation
methods; R (Computer program language)",
tableofcontents = "Front matter / i--xiii \\
Introductory Examples: Simulation, Estimation, and
Graphics / 1--22 \\
Generating Random Numbers / 23--49 \\
Monte Carlo Integration and Limit Theorems / 51--85 \\
Sampling from Applied Probability Models / 87--117 \\
Screening Tests / 119--138 \\
Markov Chains with Two States / 139--158 \\
Examples of Markov Chains with Larger State Spaces /
159--193 \\
Introduction to Bayesian Estimation / 195--218 \\
Using Gibbs Samplers to Compute Bayesian Posterior
Distributions / 219--248 \\
Using WinBUGS for Bayesian Estimation / 249--274 \\
Appendix: Getting Started with R / 275--299 \\
Back Matter / 301-307",
}
@Book{Tsay:2010:AFT,
author = "Ruey S. Tsay",
title = "Analysis of financial time series",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Third",
pages = "xxiii + 677",
year = "2010",
DOI = "https://doi.org/10.1002/9780470644560",
ISBN = "0-470-41435-9 (hardcover), 0-470-64456-7 (e-book),
0-470-64455-9 (e-book)",
ISBN-13 = "978-0-470-41435-4 (hardcover), 978-0-470-64456-0
(e-book), 978-0-470-64455-3 (e-book)",
LCCN = "HA30.3 T76 2010eb",
bibdate = "Fri Jul 25 06:48:38 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Wiley series in probability and statistics",
URL = "http://proquest.safaribooksonline.com/?fpi=9781118017098;
http://public.eblib.com/EBLPublic/PublicView.do?ptiID=565117;
http://site.ebrary.com/id/10411605;
http://www.myilibrary.com?id=270783;
http://www.myilibrary.com?id=270783\%26ref=toc",
abstract = "This book provides a broad, mature, and systematic
introduction to current financial econometric models
and their applications to modeling and prediction of
financial time series data. It utilizes real-world
examples and real financial data throughout the book to
apply the models and methods described. The author
begins with basic characteristics of financial time
series data before covering three main topics: Analysis
and application of univariate financial time series;
The return series of multiple assets; Bayesian
inference in finance methods. Key features of the new
edition include additional coverage of modern day
topics such as arbitrage, pair trading, realized
volatility, and credit risk modeling; a smooth
transition from S-Plus to R; and expanded empirical
financial data sets. The overall objective of the book
is to provide some knowledge of financial time series,
introduce some statistical tools useful for analyzing
these series and gain experience in financial
applications of various econometric methods.",
acknowledgement = ack-nhfb,
author-dates = "1951--",
keywords = "R (statistical software); S-Plus (statistical
software)",
subject = "Time-series analysis; Econometrics; Risk management;
business and economics; Finance.; Risikomanagement.;
Zeitreihenanalyse.; {\"O}konometrie.; Econometrics.;
Risk management.; Time-series analysis.",
tableofcontents = "Financial time series and their characteristics \\
Linear time series analysis and its applications \\
Conditional heteroscedastic models \\
Nonlinear models and their applications \\
High-frequency data analysis and market microstructure
\\
Continuous-time models and their applications \\
Extreme values, quantiles, and value at risk \\
Multivariate time series analysis and its applications
\\
Principal component analysis and factor models \\
Multivariate volatility models and their applications
\\
State-space models and Kalman filter \\
Markov chain Monte Carlo methods with applications",
}
@Article{Unlu:2010:DRP,
author = "Ali {\"U}nl{\"u} and Anatol Sargin",
title = "{{\tt DAKS}}: An {R} Package for Data Analysis Methods
in Knowledge Space Theory",
journal = j-J-STAT-SOFT,
volume = "37",
number = "2",
pages = "??--??",
month = nov,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v37/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-22; Accepted 2010-08-20",
}
@Article{Venables:2010:BRI,
author = "W. N. Venables",
title = "Book Review: {{\booktitle{An Introduction to
Statistical Inference and Its Applications with R}}, by
Trosset, M. W.}",
journal = j-BIOMETRICS,
volume = "66",
number = "2",
pages = "656--657",
month = jun,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01426.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:22 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "01 June 2010",
}
@Article{Viechtbauer:2010:CMA,
author = "Wolfgang Viechtbauer",
title = "Conducting Meta-Analyses in {R} with the {\tt metafor}
Package",
journal = j-J-STAT-SOFT,
volume = "36",
number = "3",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-16; Accepted 2010-06-24",
}
@Article{Visscher:2010:BRH,
author = "Peter M. Visscher",
title = "Book Review: {{\booktitle{Handbook on Analyzing Human
Genetic Data: Computational Approaches and Software}},
edited by Lin, S. and Zhao, H.}",
journal = j-BIOMETRICS,
volume = "66",
number = "4",
pages = "1310--1310",
month = dec,
year = "2010",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2010.01510.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "10 December 2010",
}
@Article{Visser:2010:DRP,
author = "Ingmar Visser and Maarten Speekenbrink",
title = "{{\tt depmixS4}}: An {R} Package for Hidden {Markov}
Models",
journal = j-J-STAT-SOFT,
volume = "36",
number = "7",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-19; Accepted 2010-06-21",
}
@Article{Weeks:2010:PRP,
author = "Jonathan P. Weeks",
title = "{\tt plink}: An {R} Package for Linking Mixed-Format
Tests Using {IRT}-Based Methods",
journal = j-J-STAT-SOFT,
volume = "35",
number = "12",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-30; Accepted 2010-05-10",
}
@Article{Wickham:2010:BRB,
author = "Hadley Wickham and Garrett Grolemund",
title = "Book Review: {{\booktitle{Graphics for Statistics and
Data Analysis with R}}}",
journal = j-J-STAT-SOFT,
volume = "36",
number = "BR-3",
pages = "??--??",
month = sep,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:02:17 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-01; Accepted 2010-09-01",
}
@Article{Xia:2010:CSP,
author = "Xiao-Qin Xia and Michael McClelland and Yipeng Wang",
title = "Code Snippet: {{\tt PypeR}}, a {Python} Package for
Using {R} in {Python}",
journal = j-J-STAT-SOFT,
volume = "35",
number = "CS-2",
pages = "??--??",
month = jul,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v35/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-10-23; Accepted 2010-03-23",
}
@Article{Yalta:2010:BRB,
author = "A. Talha Yalta",
title = "Book Review: {{\booktitle{Hands-On Intermediate
Econometrics Using R}}}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "BR-1",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-26; Accepted 2010-01-26",
}
@Article{Young:2010:TRP,
author = "Derek S. Young",
title = "{\tt tolerance}: An {R} Package for Estimating
Tolerance Intervals",
journal = j-J-STAT-SOFT,
volume = "36",
number = "5",
pages = "??--??",
month = aug,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v36/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-07-01; Accepted 2010-06-24",
}
@Article{Zang:2010:SAC,
author = "Yong Zang and Wing Kam Fung and Gang Zheng",
title = "Simple Algorithms to Calculate Asymptotic Null
Distributions of Robust Tests in Case-Control Genetic
Association Studies in {R}",
journal = j-J-STAT-SOFT,
volume = "33",
number = "8",
pages = "??--??",
month = feb,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v33/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-05-05; Accepted 2009-11-10",
}
@Article{Zeileis:2010:EMF,
author = "Achim Zeileis and Yves Croissant",
title = "Extended Model Formulas in {R}: Multiple Parts and
Multiple Responses",
journal = j-J-STAT-SOFT,
volume = "34",
number = "1",
pages = "??--??",
month = apr,
year = "2010",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Aug 25 09:57:41 MDT 2010",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v34/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-23; Accepted 2010-03-23",
}
@Article{Abadie:2011:SRP,
author = "Alberto Abadie and Alexis Diamond and Jens
Hainmueller",
title = "{Synth}: An {R} Package for Synthetic Control Methods
in Comparative Case Studies",
journal = j-J-STAT-SOFT,
volume = "42",
number = "13",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-01; Accepted 2007-12-17",
}
@Book{Allerhand:2011:THR,
author = "Mike Allerhand",
title = "A tiny handbook on {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "ix + 83",
year = "2011",
ISBN = "3-642-17979-7, 3-642-17980-0",
ISBN-13 = "978-3-642-17979-2, 978-3-642-17980-8",
LCCN = "QA276.45.R3 A45 2011",
bibdate = "Thu Jul 10 13:32:58 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "SpringerBriefs in statistics",
URL = "http://d-nb.info/1008556300/04;
http://link.springer.com/openurl?genre=book&isbn=978-3-642-17979-2",
acknowledgement = ack-nhfb,
subject = "R (Programm); Statistik; R",
}
@Article{Alliot:2011:BRH,
author = "Pierre Alliot",
title = "Book Review: {{\booktitle{Hidden Markov Models for
Time Series: an Introduction Using R}}, by W. Zucchini
and I. L. Macdonald}",
journal = j-ANZJS,
volume = "53",
number = "2",
pages = "265--266",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1467-842X.2011.00617.x",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 14:30:03 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Bailey:2011:BRB,
author = "Mark Bailey",
title = "Book Review: {{\booktitle{A Beginner's Guide to R}} by
Alain F. Zuur; Elena N. Ieno; Erik H. W. G. Meesters}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "1",
pages = "105--105",
month = feb,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40997308",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:55 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40045084;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/40997308",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Bailey:2011:CSI,
author = "Delia Bailey and Jonathan N. Katz",
title = "Code Snippet: Implementing Panel-Corrected Standard
Errors in {R}: The {{\tt pcse}} Package",
journal = j-J-STAT-SOFT,
volume = "42",
number = "CS-1",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-01-22; Accepted 2007-10-16",
}
@Book{Berridge:2011:MGL,
author = "Damon Berridge and Robert Crouchley",
title = "Multivariate generalized linear mixed models using
{R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxiii + 280",
year = "2011",
ISBN = "1-4398-1326-4 (hardcover)",
ISBN-13 = "978-1-4398-1326-3 (hardcover)",
LCCN = "HA31.35 .B47 2011",
bibdate = "Sun Jul 26 11:17:32 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Social sciences; Research; Mathematical models;
Statistical methods; Data processing; Multivariate
analysis",
tableofcontents = "2.1: Introduction \\
2.2: Continuous/interval scale data \\
2.3: Simple and multiple linear regression models \\
2.4: Checking assumptions in linear regression models
\\
2.5: Likelihood: multiple linear regression \\
2.6: Comparing model likelihoods \\
2.7: Application of a multiple linear regression model
\\
2.8: Exercises on linear models \\
3.1: Binary data \\
3.1.1: Introduction \\
3.1.2: Logistic regression \\
3.1.3: Logit and probit transformations \\
3.1.4: General logistic regression \\
3.1.5: Likelihood \\
3.1.6: Example with binary data \\
3.2: Ordinal data \\
3.2.1: Introduction \\
3.2.2: The ordered logit model \\
3.2.3: Dichotomization of ordered categories \\
3.2.4: Likelihood \\
3.2.5: Example with ordered data \\
3.3: Count data \\
3.3.1: Introduction \\
3.3.2: Poisson regression models \\
3.3.3: Likelihood \\
3.3.4: Example with count data \\
3.4: Exercises \\
4.1: Introduction \\
4.2: The linear model4.3: The binary response model \\
4.4: The Poisson model \\
4.5: Likelihood \\
5.1: Introduction \\
5.2: Linear mixed model \\
5.3: The intraclass correlation coefficient \\
5.4: Parameter estimation by maximum likelihood \\
5.5: Regression with level-two effects \\
5.6: Two-level random intercept models \\
5.7: General two-level models including random
intercepts \\
5.8: Likelihood \\
5.9: Residuals \\
5.10: Checking assumptions in mixed models \\
5.11: Comparing model likelihoods \\
5.12: Application of a two-level linear model \\
5.13: Two-level growth models \\
5.13.1: A two-level repeated measures model \\
5.13.2: A linear growth model \\
5.13.3: A quadratic growth model \\
5.14: Likelihood \\
5.15: Example using linear growth models \\
5.16: Exercises using mixed models for
continuous/interval scale data \\
6.1: Introduction \\
6.2: The two-level logistic model \\
6.3: General two-level logistic models \\
6.4: Intraclass correlation coefficient \\
6.5: Likelihood \\
6.6: Example using binary data \\
6.7: Exercises using mixed models for binary data7.1. :
Introduction \\
7.2: The two-level ordered logit model \\
7.3: Likelihood \\
7.4: Example using mixed models for ordered data \\
7.5: Exercises using mixed models for ordinal data \\
8.1: Introduction \\
8.2: The two-level Poisson model \\
8.3: Likelihood \\
8.4: Example using mixed models for count data \\
8.5: Exercises using mixed models for count data \\
9.1: Introduction \\
9.2: The mixed linear model \\
9.3: The mixed binary response model \\
9.4: The mixed Poisson model \\
9.5: Likelihood \\
10.1: Introduction \\
10.2: Three-level random intercept models \\
10.3: Three-level generalized linear models \\
10.4: Linear models \\
10.5: Binary response models \\
10.6: Likelihood \\
10.7: Example using three-level generalized linear
models \\
10.8: Exercises using three-level generalized linear
mixed models \\
11.1: Introduction \\
11.2: Multivariate two-level generalized linear model
\\
11.3: Bivariate Poisson model: example \\
11.4: Bivariate ordered response model: example \\
11.5: Bivariate linear-probit model: example \\
11.6: Multivariate two-level generalized linear model
likelihood11.7: Exercises using multivariate
generalized linear mixed models \\
12.1: Introduction \\
12.1.1: Left censoring \\
12.1.2: Right censoring \\
12.1.3: Time-varying explanatory variables \\
12.1.4: Competing risks \\
12.2: Duration data in discrete time \\
12.2.1: Single-level models for duration data \\
12.2.2: Two-level models for duration data \\
12.2.3: Three-level models for duration data \\
12.3: Renewal data \\
12.3.1: Introduction \\
12.3.2: Example: renewal models \\
12.4: Competing risk data \\
12.4.1: Introduction \\
12.4.2: Likelihood \\
12.4.3: Example: competing risk data \\
12.5: Exercises using renewal and competing risks
models \\
13.1: Introduction \\
13.2: Mover-stayer model \\
13.3: Likelihood incorporating the mover-stayer model
\\
13.4: Example 1: stayers within count data \\
13.5: Example 2: stayers within binary data \\
13.6: Exercises: stayers \\
14.1: Introduction to key issues: heterogeneity, state
dependence and non-stationarity \\
14.2: Example \\
14.3: Random effects models \\
14.4: Initial conditions problem \\
14.5: Initial treatment14.6: Example: depression data
\\
14.7: Classical conditional analysis \\
14.8: Classical conditional model: example \\
14.9: Conditioning on initial response but allowing
random effect uol to be dependent on z3 \\
14.10: Wooldridge conditional model: example \\
14.11: Modelling the initial conditions \\
14.12: Same random effect in the initial response and
subsequent response models with a common scale
parameter \\
14.13: Joint analysis with a common random effect:
example \\
14.14: Same random effect in models of the initial
response and subsequent responses but with different
scale parameters \\
14.15: Joint analysis with a common random effect
(different scale parameters): example \\
14.16: Different random effects in models of the
initial response and subsequent responses \\
14.17: Different random effects: example \\
14.18: Embedding the Wooldridge approach in joint
models for the initial response and subsequent
responses \\
14.19: Joint model incorporating the Wooldridge
approach: example \\
14.20: Other link functions \\
14.21: Exercises using models incorporating initial
conditions/state dependence in binary data15.1:
Introduction \\
15.2: Fixed effects treatment of the two-level linear
model \\
15.3: Dummy variable specification of the fixed effects
model \\
15.4: Empirical comparison of two-level fixed effects
and random effects estimators \\
15.5: Implicit fixed effects estimator \\
15.6: Random effects models \\
15.7: Comparing two-level fixed effects and random
effects models \\
15.8: Fixed effects treatment of the three-level linear
model \\
15.9: Exercises comparing fixed effects and random
effects \\
A.1: SabreR installation \\
A.2: SabreR commands \\
A.2.1: The arguments of the SabreR object \\
A.2.2: The anatomy of a SabreR command file \\
A.3: Quadrature \\
A.3.1: Standard Gaussian quadrature \\
A.3.2: Performance of Gaussian quadrature \\
A.3.3: Adaptive quadrature \\
A.4: Estimation \\
A.4.1: Maximizing the log likelihood of random effects
models \\
A.5: Fixed effects linear models \\
A.6: Endogenous and exogenous variables \\
B.1: Getting started with R \\
B.1.1: Preliminaries \\
B.1.1.1: Working with R in interactive mode \\
B.1.1.2: Basic functions \\
B.1.1.3: Getting help \\
B.1.1.4: Stopping R \\
B.1.2: Creating and manipulating data \\
B.1.2.1: Vectors and lists \\
B.1.2.2: Vectors \\
B.1.2.3: Vector operations \\
B.1.2.4: Lists \\
B.1.2.5: Data frames \\
B.1.3: Session management \\
B.1.3.1: Managing objects \\
B.1.3.2: Attaching and detaching objects \\
B.1.3.3: Serialization \\
B.1.3.4: R scripts \\
B.1.3.5: Batch processing \\
B.1.4: R packages \\
B.1.4.1: Loading a package into R \\
B.1.4.2: Installing a package for use in R \\
B.1.4.3: R and Statistics \\
B.2: Data preparation for SabreR \\
B.2.1: Creation of dummy variables \\
B.2.2: Missing values \\
B.2.3: Creating lagged response covariate data",
}
@Article{Bordier:2011:TSI,
author = "C{\'e}cile Bordier and Michel Dojat and Pierre Lafaye
de Micheaux",
title = "Temporal and Spatial Independent Component Analysis
for {fMRI} Data Sets Embedded in the {AnalyzeFMRI} {R}
Package",
journal = j-J-STAT-SOFT,
volume = "44",
number = "9",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-29; Accepted 2011-06-16",
}
@Book{Bretz:2011:MCU,
author = "Frank Bretz and Torsten Hothorn and Peter H.
Westfall",
title = "Multiple Comparisons Using {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xvii + 187",
year = "2011",
ISBN = "1-58488-574-2 (hardcover)",
ISBN-13 = "978-1-58488-574-0 (hardcover)",
LCCN = "QA278.4 .B74 2011",
bibdate = "Thu Jul 10 10:01:41 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Adopting a unifying theme based on maximum statistics,
Multiple Comparisons Using R describes the common
underlying theory of multiple comparison procedures
through numerous examples. After giving examples of
multiplicity problems, the book covers general concepts
and basic multiple comparisons procedures, including
the Bonferroni method and Simes' test. It then shows
how to perform parametric multiple comparisons in
standard linear models and general parametric models.
It also introduces the multcomp package in R, which
offers a convenient interface to perform multiple
comparisons in a general context. Following this
theoretical framework, the book explores applications
involving the Dunnett test, Tukey's all pairwise
comparisons, and general multiple contrast tests for
standard regression models, mixed-effects models, and
parametric survival models. The last chapter reviews
other multiple comparison procedures, such as
resampling-based procedures, methods for group
sequential or adaptive designs, and the combination of
multiple comparison procedures with modeling
techniques. Controlling multiplicity in experiments
ensures better decision making and safeguards against
false claims. A self-contained introduction to multiple
comparison procedures, this book offers strategies for
constructing the procedures and illustrates the
framework for multiple hypotheses testing in general
parametric models. It is suitable for readers with R
experience but limited knowledge of multiple comparison
procedures and vice versa.",
acknowledgement = ack-nhfb,
subject = "Multiple comparisons (Statistics); R (Computer program
language)",
tableofcontents = "Introduction \\
General concepts \\
Multiple comparisons in parametric models \\
Applications \\
Further topics",
}
@Article{Burr:2011:BRBa,
author = "Tom Burr and Claire Longo",
title = "Book Review: {{\booktitle{Wavelet Methods in
Statistics With R}} by G. P. Nason}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "2",
pages = "212--213",
month = may,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/23209736",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:56 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i23209715;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/23209736",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Carstensen:2011:ULO,
author = "Bendix Carstensen and Martyn Plummer",
title = "Using {Lexis} Objects for Multi-State Models in {R}",
journal = j-J-STAT-SOFT,
volume = "38",
number = "6",
pages = "??--??",
month = jan,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v38/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-02-09; Accepted 2010-09-16",
}
@Article{Causeur:2011:FAM,
author = "David Causeur and Chloe Friguet and Magalie
Houee-Bigot and Maela Kloareg",
title = "Factor Analysis for Multiple Testing ({FAMT}): An {R}
Package for Large-Scale Significance Testing under
Dependence",
journal = j-J-STAT-SOFT,
volume = "40",
number = "14",
pages = "??--??",
month = may,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-09; Accepted 2011-04-01",
}
@Book{Chen:2011:CTD,
author = "Ding-Geng Chen and Karl E. Peace",
title = "Clinical trial data analysis using {R}",
publisher = "CRC Press",
address = "Boca Raton, Florida",
pages = "xxiii + 363",
year = "2011",
ISBN = "1-4398-4020-2 (hardcover), 1-4398-4021-0 (e-book)",
ISBN-13 = "978-1-4398-4020-7 (hardcover), 978-1-4398-4021-4
(e-book)",
LCCN = "R853.C55 C44 2011",
bibdate = "Thu Jul 10 12:11:49 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC biostatistics series",
abstract = "With examples based on the authors' 30 years of
real-world experience in many areas of clinical drug
development, this book provides a thorough presentation
of clinical trial methodology. It presents detailed
step-by-step illustrations on the implementation of the
open-source software R. Case studies demonstrate how to
select the appropriate clinical trial data. The authors
introduce the corresponding biostatistical analysis
methods, followed by the step-by-step data analysis
using R. They also offer the R program for download,
along with other essential data, on their website.",
acknowledgement = ack-nhfb,
subject = "Clinical trials; Statistical methods; R (Computer
program language); Clinical Trials as Topic; methods;
Software; Statistics as Topic; Statistical methods.; R
(Computer program language)",
tableofcontents = "1. Introduction to R \\
2. Overview of clinical trials \\
3. Treatment comparisons in clinical trials \\
4. Treatment comparisons in clinical trials with
covariates \\
5. Analysis of clinical trials with time-to-event
endpoints \\
6. Analysis of data from longitudinal clinical trials
\\
7. Sample size determination and power calculation in
clinical trials \\
8. Meta-analysis of clinical trials \\
9. Bayesian analysis methods in clinical trials \\
10. Analysis of bioequivalence clinical trials \\
11. Analysis of adverse events in clinical trials \\
12. Analysis of DNA microarrays in clinical trials",
}
@Article{Chernick:2011:BRBc,
author = "Michael R. Chernick",
title = "Book Review: {{\booktitle{Multiple Comparisons Using
R}} by Frank Bretz; Torsten Hothorn; Peter Westfall}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "3",
pages = "327--328",
month = aug,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/23210417",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:57 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i23209789;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/23210417",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Chernick:2011:IBM,
author = "Michael R. Chernick and Robert A. LaBudde",
title = "An introduction to bootstrap methods with applications
to {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xvii + 216",
year = "2011",
ISBN = "0-470-46704-5 (hardcover)",
ISBN-13 = "978-0-470-46704-6 (hardcover)",
LCCN = "QA276.8 .C478 2011",
bibdate = "Thu Jul 10 13:04:38 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "This book provides both an elementary and a modern
introduction to the bootstrap for students who do not
have an extensive background in advanced mathematics.
It offers reliable, hands-on coverage of the
bootstrap's considerable advantages -- as well as its
drawbacks. The book outpaces the competition by
skillfully presenting results on improved confidence
set estimation, estimation of error rates in
discriminant analysis, and applications to a wide
variety of hypothesis testing and estimation problems.
To alert readers to the limitations of the method, the
book exhibits counterexamples to the consistency of
bootstrap methods. The authors take great care to draw
connections between the more traditional resampling
methods and the bootstrap, oftentimes displaying
helpful computer routines in R. Emphasis throughout the
book is on the use of the bootstrap as an exploratory
tool including its value in variable selection and
other modeling environments.",
acknowledgement = ack-nhfb,
subject = "Bootstrap (Statistics); R (Computer program
language)",
}
@Book{Chihara:2011:MSR,
author = "Laura Chihara and Tim Hesterberg",
title = "Mathematical statistics with resampling and {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xiv + 418",
year = "2011",
ISBN = "1-118-02985-2 (hardcover)",
ISBN-13 = "978-1-118-02985-5 (hardcover)",
LCCN = "QA278.8 .C45 2011",
bibdate = "Thu Jul 10 12:53:08 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Resampling helps students understand the meaning of
sampling distributions, sampling variability, P-values,
hypothesis tests, and confidence intervals. This
groundbreaking book shows how to apply modern
resampling techniques to mathematical statistics.
Extensively class-tested to ensure an accessible
presentation, Mathematical Statistics with Resampling
and R utilizes the powerful and flexible computer
language R to underscore the significance and benefits
of modern resampling techniques. The book begins by
introducing permutation tests and bootstrap methods,
motivating classical inference methods. Striking a
balance between theory, computing, and applications,
the authors explore additional topics such as:.
Calculation of sampling distributions. The Central
Limit Theorem. Maximum likelihood estimation and
properties of estimators. Confidence intervals and
hypothesis tests. Throughout the book, case studies on
diverse subjects such as flight delays, birth weights
of babies, and telephone company repair times
illustrate the relevance of the real-world applications
of the discussed material. Key definitions and theorems
of important probability distributions are collected at
the end of the book, and a related website is also
available, featuring additional material including data
sets, R scripts, and helpful teaching hints.
Mathematical Statistics with Resampling and R is an
excellent book for courses on mathematical statistics
at the upper-undergraduate and graduate levels. It also
serves as a valuable reference for applied
statisticians working in the areas of business,
economics, biostatistics, and public health who utilize
resampling methods in their everyday work.",
acknowledgement = ack-nhfb,
author-dates = "1957--",
subject = "Resampling (Statistics); Statistics",
}
@Article{Childs:2011:MFS,
author = "Aaron Childs and Yalin Chen",
title = "Multilevel Fixed and Sequential Acceptance Sampling:
The {R} Package {MFSAS}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "6",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-06-04; Accepted 2011-06-29",
}
@Article{Choi:2011:LRP,
author = "Seung W. Choi and Laura E. Gibbons and Paul K. Crane",
title = "{{\tt lordif}}: An {R} Package for Detecting
Differential Item Functioning Using Iterative Hybrid
Ordinal Logistic Regression\slash Item Response Theory
and {Monte Carlo} Simulations",
journal = j-J-STAT-SOFT,
volume = "39",
number = "8",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-02-02; Accepted 2010-10-23",
}
@Article{Clayden:2011:TMR,
author = "Jonathan D. Clayden and Susana Mu{\~n}oz Maniega and
Amos J. Storkey and Martin D. King and Mark E. Bastin
and Chris A. Clark",
title = "{TractoR}: Magnetic Resonance Imaging and Tractography
with {R}",
journal = j-J-STAT-SOFT,
volume = "44",
number = "8",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-28; Accepted 2011-06-02",
}
@Article{Cook:2011:BRB,
author = "Dianne Cook and Heike Hofmann",
title = "Book Review: {{\booktitle{R Graphics}} (2nd
Edition)}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "BR-3",
pages = "??--??",
month = sep,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-13; Accepted 2011-09-13",
}
@Book{Cryer:2011:SJX,
author = "Jonathan D. Cryer and Kung-Sik Chan and Hongyu Pan and
others",
title = "Shi jian xu lie fen xi ji ying yong: {R} yu yan =
{Time} series analysis with applications in {R}",
publisher = "Ji xie gong ye chu ban she",
address = "Beijing, China",
pages = "350",
year = "2011",
ISBN = "7-111-32572-9",
ISBN-13 = "978-7-111-32572-7",
LCCN = "????",
bibdate = "Thu Jul 10 09:43:31 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Hua zhang shu xue yi cong",
acknowledgement = ack-nhfb,
remark = "500 $ 6 880 - 03 $ a Ju yuan shu di 2 ban yi chu.",
subject = "Time-series analysis; Data processing; R (Computer
program language)",
}
@Article{Culp:2011:SSS,
author = "Mark Culp",
title = "{{\tt spa}}: Semi-Supervised Semi-Parametric
Graph-Based Estimation in {R}",
journal = j-J-STAT-SOFT,
volume = "40",
number = "10",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-23; Accepted 2010-01-11",
}
@Article{Davies:2011:SAS,
author = "Tilman M. Davies and Martin L. Hazelton and Jonathan
C. Marshall",
title = "{{\tt sparr}}: Analyzing Spatial Relative Risk Using
Fixed and Adaptive Kernel Density Estimation in {R}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "1",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-05-02; Accepted 2010-08-10",
}
@Article{DeBoeck:2011:EIR,
author = "Paul {De Boeck} and Marjan Bakker and Robert Zwitser
and Michel Nivard and Abe Hofman and Francis Tuerlinckx
and Ivailo Partchev",
title = "The Estimation of Item Response Models with the {{\tt
lmer}} Function from the {{\tt lme4}} Package in {R}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "12",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-01; Accepted 2010-12-13",
}
@Article{deWreede:2011:MRP,
author = "Liesbeth C. de Wreede and Marta Fiocco and Hein
Putter",
title = "{{\tt mstate}}: An {R} Package for the Analysis of
Competing Risks and Multi-State Models",
journal = j-J-STAT-SOFT,
volume = "38",
number = "7",
pages = "??--??",
month = jan,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v38/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-17; Accepted 2010-08-20",
}
@Article{Eckley:2011:LIL,
author = "Idris A. Eckley and Guy P. Nason",
title = "{LS2W}: Implementing the Locally Stationary {$2$D}
Wavelet Process Approach in {R}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "3",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-30; Accepted 2011-06-14",
}
@Article{Eddelbuettel:2011:BRB,
author = "Dirk Eddelbuettel",
title = "Book Review: {{\booktitle{R in a Nutshell}}}",
journal = j-J-STAT-SOFT,
volume = "40",
number = "BR-1",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-04; Accepted 2011-04-04",
}
@Article{Eddelbuettel:2011:RSR,
author = "Dirk Eddelbuettel and Romain Fran{\c{c}}ois",
title = "\pkg{Rcpp}: Seamless {R} and {C++} Integration",
journal = j-J-STAT-SOFT,
volume = "40",
number = "8",
pages = "1--18",
month = apr,
year = "2011",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v040.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-11-15; Accepted 2011-03-21",
}
@Article{Eugster:2011:HTP,
author = "Manuel J. A. Eugster and Jochen Knaus and Christine
Porzelius and Markus Schmidberger and Esmeralda
Vicedo",
title = "Hands-on tutorial for parallel computing with {R}",
journal = j-COMP-STAT,
volume = "26",
number = "2",
pages = "219--239",
month = jun,
year = "2011",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-010-0206-4",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:40 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-010-0206-4",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Evans:2011:BRB,
author = "Gary Evans",
title = "Book Review: {{\booktitle{Exploratory Multivariate
Analysis by Example Using R}}}",
journal = j-J-STAT-SOFT,
volume = "40",
number = "BR-2",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-20; Accepted 2011-04-20",
}
@Book{Everitt:2011:IAM,
author = "Brian Everitt and Torsten Hothorn",
title = "An introduction to applied multivariate analysis with
{R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiv + 273",
year = "2011",
ISBN = "1-4419-9649-4, 1-4419-9650-8",
ISBN-13 = "978-1-4419-9649-7, 978-1-4419-9650-3",
LCCN = "QA278 .E87 2011",
bibdate = "Thu Jul 10 12:54:57 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html;
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html;
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html",
abstract = "The majority of data sets collected by researchers in
all disciplines are multivariate, meaning that several
measurements, observations, or recordings are taken on
each of the units in the data set. These units might be
human subjects, archaeological artifacts, countries, or
a vast variety of other things. In a few cases, it may
be sensible to isolate each variable and study it
separately, but in most instances all the variables
need to be examined simultaneously in order to fully
grasp the structure and key features of the data. For
this purpose, one or another method of multivariate
analysis might be helpful, and it is with such methods
that this book is largely concerned. Multivariate
analysis includes methods both for describing and
exploring such data and for making formal inferences
about them. The aim of all the techniques is, in
general sense, to display or extract the signal in the
data in the presence of noise and to find out what the
data show us in the midst of their apparent chaos. An
Introduction to Applied Multivariate Analysis with R
explores the correct application of these methods so as
to extract as much information as possible from the
data at hand, particularly as some type of graphical
representation, via the R software. Throughout the
book, the authors give many examples of R code used to
apply the multivariate techniques to multivariate
data.",
acknowledgement = ack-nhfb,
subject = "Multivariate analysis; Data processing; R (Computer
program language); Multivariate Analyse.; R
(Programm)",
tableofcontents = "Multivariate data and multivariate analysis \\
Looking at multivariate data: visualisation \\
Principal components analysis \\
Multidimensional scaling \\
Exploratory factor analysis \\
Cluster analysis \\
Confirmatory factor analysis and structural equation
models \\
The analysis of repeated measures data",
}
@Article{Ferl:2011:DRP,
author = "Gregory Z. Ferl",
title = "{DATforDCEMRI}: An {R} Package for Deconvolution
Analysis and Visualization of {DCE-MRI} Data",
journal = j-J-STAT-SOFT,
volume = "44",
number = "3",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-11; Accepted 2011-06-22",
}
@Article{Finley:2011:BRE,
author = "Andrew Finley",
title = "Book Review: {{\booktitle{Environmental and Ecological
Statistics with R}}, by Qian, S. S.}",
journal = j-BIOMETRICS,
volume = "67",
number = "2",
pages = "674--675",
month = jun,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01613.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "21 June 2011",
}
@Article{Fiske:2011:URP,
author = "Ian Fiske and Richard Chandler",
title = "{\tt unmarked}: An {R} Package for Fitting
Hierarchical Models of Wildlife Occurrence and
Abundance",
journal = j-J-STAT-SOFT,
volume = "43",
number = "10",
pages = "??--??",
month = aug,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-05-06; Accepted 2011-07-29",
}
@Article{Fletcher:2011:BRR,
author = "David Fletcher",
title = "Book Review: {{\booktitle{R Through Excel: a
Spreadsheet Interface for Statistics, Data Analysis,
and Graphics}}, by Richard M. Heiberger and Erich
Neuwirth}",
journal = j-ANZJS,
volume = "53",
number = "4",
pages = "491--492",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1467-842X.2012.00649.x",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 14:30:05 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Friendly:2011:BRG,
author = "Michael Friendly",
title = "Book Review: {{\booktitle{Graphics for Statistics and
Data Analysis with R}}, by Keen, K. J.}",
journal = j-BIOMETRICS,
volume = "68",
number = "3",
pages = "1177--1177",
month = sep,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01658_1.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:26 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 September 2011",
}
@Article{Gabadinho:2011:AVS,
author = "Alexis Gabadinho and Gilbert Ritschard and Nicolas S.
M{\"u}ller and Matthias Studer",
title = "Analyzing and Visualizing State Sequences in {R} with
{{\tt TraMineR}}",
journal = j-J-STAT-SOFT,
volume = "40",
number = "4",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-12; Accepted 2011-01-03",
}
@Article{Gasparrini:2011:DLL,
author = "Antonio Gasparrini",
title = "Distributed Lag Linear and Non-Linear Models in {R}:
The Package {\tt dlnm}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "8",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-06-03; Accepted 2011-07-13",
}
@Article{Goitisolo:2011:SAP,
author = "Beatriz Goitisolo and Amaya Z{\'a}rraga",
title = "Simultaneous Analysis in {S-PLUS}: The {{\tt
SimultAn}} Package",
journal = j-J-STAT-SOFT,
volume = "40",
number = "11",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-22; Accepted 2011-04-13",
}
@Article{Goldstein:2011:BSU,
author = "Richard Goldstein",
title = "{{\booktitle{R for Stata Users}} by Robert A.
Muenchen; Joseph M. Hilbe}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "4",
pages = "442--442",
month = nov,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714959",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:58 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080565;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714959",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Goslee:2011:ARS,
author = "Sarah C. Goslee",
title = "Analyzing Remote Sensing Data in {R}: The {\tt
landsat} Package",
journal = j-J-STAT-SOFT,
volume = "43",
number = "4",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-29; Accepted 2011-06-16",
}
@Article{Gromping:2011:BRB,
author = "Ulrike Gr{\"o}mping",
title = "Book Review: {{\booktitle{Optimal Experimental Design
with R}}}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "BR-5",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/b05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-17; Accepted 2011-10-17",
}
@Article{Grun:2011:TRP,
author = "Bettina Gr{\"u}n and Kurt Hornik",
title = "{{\tt topicmodels}}: An {R} Package for Fitting Topic
Models",
journal = j-J-STAT-SOFT,
volume = "40",
number = "13",
pages = "??--??",
month = may,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-23; Accepted 2011-04-26",
}
@Article{Guttorp:2011:BRH,
author = "Peter Guttorp",
title = "Book Review: {{\booktitle{Hidden Markov Models for
Time Series: an Introduction Using R}}, by Zucchini, W.
and MacDonald, I. L.}",
journal = j-BIOMETRICS,
volume = "68",
number = "3",
pages = "1178--1178",
month = sep,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01658_2.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:26 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 September 2011",
}
@Article{Haneuse:2011:ORP,
author = "Sebastien Haneuse and Takumi Saegusa and Thomas
Lumley",
title = "{{\tt osDesign}}: An {R} Package for the Analysis,
Evaluation, and Design of Two-Phase and Case-Control
Studies",
journal = j-J-STAT-SOFT,
volume = "43",
number = "11",
pages = "??--??",
month = aug,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-05-10; Accepted 2011-07-29",
}
@Article{Henningsen:2011:PMP,
author = "Arne Henningsen and Ott Toomet",
title = "\pkg{maxLik}: A package for maximum likelihood
estimation in {R}",
journal = j-COMP-STAT,
volume = "26",
number = "3",
pages = "443--458",
month = sep,
year = "2011",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-010-0217-1",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:40 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-010-0217-1",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Ho:2011:NPP,
author = "Anson T. Y. Ho and Kim P. Huynh and David T.
Jacho-Ch{\'a}vez",
title = "{{\tt npRmpi}}: A package for parallel distributed
kernel estimation in {R}",
journal = j-J-APPL-ECONOMETRICS,
volume = "26",
number = "2",
pages = "344--349",
month = mar,
year = "2011",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.1221",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:29 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "11 November 2010",
}
@Article{Hofert:2011:NAC,
author = "Marius Hofert and Martin Maechler",
title = "Nested {Archimedean} Copulas Meet {R}: The {{\tt
nacopula}} Package",
journal = j-J-STAT-SOFT,
volume = "39",
number = "9",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-01; Accepted 2010-11-15",
}
@Article{Hoffmann:2011:CSP,
author = "Thomas J. Hoffmann",
title = "Code Snippet: Passing in Command Line Arguments and
Parallel Cluster\slash Multicore Batching in {R} with
{{\tt batch}}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "CS-1",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-12-16; Accepted 2010-08-09",
}
@Book{Horton:2011:URD,
author = "Nicholas J. Horton and Ken Kleinman",
title = "Using {R} for data management, statistical analysis,
and graphics",
publisher = "CRC Press",
address = "Boca Raton, FL, USA",
pages = "xxii + 275",
year = "2011",
DOI = "https://doi.org/10.1201/9781439827567",
ISBN = "1-4398-2755-9 (paperback)",
ISBN-13 = "978-1-4398-2755-0 (paperback)",
LCCN = "QA76.73.R3 H67 2011",
MRclass = "68-00 68U05 68N15",
bibdate = "Thu Jul 10 11:55:49 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "\booktitle{Using R for Data Management, Statistical
Analysis, and Graphics} presents an easy way to learn
how to perform an analytical task in R, without having
to navigate through the extensive, idiosyncratic, and
sometimes unwieldly software documentation and vast
number of add-on packages. Organized by short, clear
descriptive entries, the book covers many common tasks,
such as data management, descriptive summaries,
inferential procedures, regression analysis,
multivariate methods, and the creation of graphics.
Through the extensive indexing, cross-referencing, and
worked examples in this text, users can directly find
and implement the material they need. The text includes
convenient indices organized by topic and R syntax.
Demonstrating the R code in action and facilitating
exploration, the authors present example analyses that
employ a single dataset from the HELP study. They also
provides several case studies of more complex
applications. Datasets and code are available for
download on the book's Web site. Helping to improve
your analytical skills, this book lucidly summarizes
the aspects of R most often used by statistical
analysts. New users of R will find the simple approach
easy to understand while more sophisticated users will
appreciate the invaluable source of task-oriented
information.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Open source software;
Database management; Mathematical statistics; Data
processing",
}
@Article{Howard:2011:BRB,
author = "James P. Howard",
title = "Book Review: {{\booktitle{R Cookbook}}}",
journal = j-J-STAT-SOFT,
volume = "40",
number = "BR-3",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-27; Accepted 2011-04-27",
}
@Article{Hubert:2011:BRM,
author = "Mia Hubert",
title = "Book Review: {{\booktitle{Multivariate Nonparametric
Methods with R. An Approach Based on Spatial Signs and
Ranks}}, by Oja, H.}",
journal = j-BIOMETRICS,
volume = "67",
number = "4",
pages = "1674--1675",
month = dec,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01702.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:26 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 December 2011",
}
@Book{Husson:2011:EMA,
author = "Fran{\c{c}}ois Husson and S{\'e}bastien L{\^e} and
J{\'e}r{\^o}me Pag{\`e}s",
title = "Exploratory multivariate analysis by example using
{R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xii + 228",
year = "2011",
ISBN = "1-4398-3580-2 (hardcover)",
ISBN-13 = "978-1-4398-3580-7 (hardcover)",
LCCN = "QA278 .H87 2011",
bibdate = "Thu Jul 10 10:03:00 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC computer science and data
analysis",
abstract = "An introduction to exploratory techniques for
multivariate data analysis, this book covers the key
methodology, including principal components analysis,
correspondence analysis, mixed models and multiple
factor analysis. The authors take a practical approach,
with examples leading the discussion of the methods and
lots of graphics to emphasize visualization. They
present the concepts in the most intuitive way
possible, keeping mathematical content to a minimum or
relegating it to the appendices. The book includes
examples that use real data from a range of scientific
disciplines and implemented using an R package
developed by the authors.",
acknowledgement = ack-nhfb,
subject = "Multivariate analysis; R (Computer program language);
MATHEMATICS / Probability and Statistics / General",
tableofcontents = "1. Principal component analysis (PCA) \\
2. Correspondence analysis (CA) \\
3. Multiple correspondence analysis (MCA) \\
4. Clustering",
}
@Article{Imai:2011:ERP,
author = "Kosuke Imai and Ying Lu and Aaron Strauss",
title = "{{\tt eco}}: {R} Package for Ecological Inference in $
2 \times 2 $ Tables",
journal = j-J-STAT-SOFT,
volume = "42",
number = "5",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-06; Accepted 2007-06-18",
}
@Article{Jackson:2011:MSM,
author = "Christopher Jackson",
title = "Multi-State Models for Panel Data: The {{\tt msm}}
Package for {R}",
journal = j-J-STAT-SOFT,
volume = "38",
number = "8",
pages = "??--??",
month = jan,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v38/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-07-21; Accepted 2010-08-18",
}
@Article{Jara:2011:DBS,
author = "Alejandro Jara and Timothy Hanson and Fernando A.
Quintana and Peter M{\"u}ller and Gary L. Rosner",
title = "{{\tt DPpackage}}: {Bayesian} Semi- and Nonparametric
Modeling in {R}",
journal = j-J-STAT-SOFT,
volume = "40",
number = "5",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-10-28; Accepted 2010-12-27",
}
@Book{Kabacoff:2011:RAD,
author = "Robert Kabacoff",
title = "{R} in action: data analysis and graphics with {R}",
publisher = pub-MANNING,
address = pub-MANNING:adr,
pages = "xxiv + 447",
year = "2011",
ISBN = "1-935182-39-0 (paperback)",
ISBN-13 = "978-1-935182-39-9 (paperback)",
LCCN = "QA276.45.R3 K33 2011",
bibdate = "Thu Jul 10 12:16:29 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "R in Action is the first book to present both the R
system and the use cases that make it such a compelling
package for business developers. The book begins by
introducing the R language, including the development
environment. Focusing on practical solutions, the book
also offers a crash course in practical statistics and
covers elegant methods for dealing with messy and
incomplete data using features of R.",
acknowledgement = ack-nhfb,
remark = "Part I: Getting Started \\
1 Introduction To R \\
2 Creating a dataset \\
3 Getting started with graphs \\
4 Basic data management \\
5 Advanced data management \\
Part II: Basic Methods \\
6 Basic graphs \\
6.1 Bar plots \\
6.2 Pie charts \\
6.3 Histograms \\
6.4 Kernel density plots \\
6.5 Box plots \\
6.6 Dot plots \\
6.7 Summary \\
7 Basic statistics \\
7.1 Descriptive statistics \\
7.2 Frequency and contingency tables \\
7.3 Correlations \\
7.4 t-tests \\
7.5 Nonparametric tests of group differences \\
7.6 Visualizing group differences \\
7.7 Summary \\
Part III: Intermediate Methods \\
8 Regression \\
8.1 The many faces of regression \\
8.2 OLS regression \\
8.3 Regression diagnostics \\
8.4 Unusual observations \\
8.5 Corrective measures \\
8.6 Selecting the ``best'' regression model \\
8.7 Taking the analysis further \\
8.8 Summary \\
9 Analysis of variance \\
9.1 A crash course on terminology \\
9.2 Fitting ANOVA models \\
9.3 One-way ANOVA \\
9.4 One-way ANCOVA \\
9.5 Two-way factorial ANOVA \\
9.6 Repeated measures ANOVA \\
9.7 Multivariate analysis of variance (MANOVA) \\
9.8 ANOVA as regression \\
9.9 Summary \\
10 Power analysis \\
10.1 A quick review of hypothesis testing \\
10.2 Implementing power analysis with the pwr package
\\
10.3 Creating power analysis plots \\
10.4 Other packages \\
10.5 Summary \\
11 Intermediate graphs \\
11.1 Scatter plots \\
11.2 Line charts \\
11.3 Correlograms \\
11.4 Mosaic plots \\
11.5 Summary \\
12 Resampling statistics and bootstrapping \\
12.1 Permutation tests \\
12.2 Permutation test with the coin package \\
12.3 Permutation tests with the lmPerm package \\
12.4 Additional comments on permutation tests \\
12.5 Bootstrapping \\
12.6 Bootstrapping with the boot package \\
12.7 Summary \\
Part IV: Advanced Methods \\
13 Generalized linear models \\
13.1 Generalized linear models and the glm() function
\\
13.2 Logistic regression \\
13.3 Poisson regression \\
13.4 Summary \\
14 Principal components and factor analysis \\
14.1 Principal components and factor analysis in R \\
14.2 Principal components \\
14.3 Exploratory factor analysis \\
14.4 Other latent variable models \\
14.5 Summary \\
15 Advanced methods for missing data \\
15.1 Steps in dealing with missing data \\
15.2 Identifying missing values \\
15.3 Exploring missing values patterns \\
15.4 Understanding the sources and impact of missing
data \\
15.5 Rational approaches for dealing with incomplete
data \\
15.6 Complete-case analysis (listwise deletion) \\
15.7 Multiple imputation \\
15.8 Other approaches to missing data \\
15.9 Summary \\
16 Advanced graphics \\
16.1 The four graphic systems in R \\
16.2 The lattice package \\
16.3 The ggplot2 package \\
16.4 Interactive graphs \\
16.5 Summary afterword Into the rabbit hole \\
Appendix A: Graphic user interfaces \\
Appendix B: Customizing the startup environment \\
Appendix C: Exporting data from R \\
Appendix D: Creating publication-quality output \\
Appendix E: Matrix Algebra in R Appendix F: Packages
used in this book \\
Appendix G: Working with large datasets \\
Appendix H: Updating an R installation index.",
subject = "R (Computer program language); Statistics; Data
processing; Graphic methods",
xxaddress = "Shelter Island, NY",
}
@Book{Karian:2011:HFS,
author = "Zaven A. Karian and Edward J. Dudewicz",
title = "Handbook of fitting statistical distributions with
{R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xlv + 1672",
year = "2011",
ISBN = "1-58488-711-7 (hardcover), 1-58488-712-5 (e-book:
PDF)",
ISBN-13 = "978-1-58488-711-9 (hardcover), 978-1-58488-712-6
(e-book: PDF)",
LCCN = "QA273.6 .K374 2011",
bibdate = "Tue Apr 29 20:39:05 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/probstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
prodorbis.library.yale.edu:7090/voyager;
z3950.loc.gov:7090/Voyager",
note = "Includes CD-ROM.",
URL = "http://marc.crcnetbase.com/isbn/9781584887126",
acknowledgement = ack-nhfb,
subject = "Distribution (Probability theory); R (Computer program
language)",
tableofcontents = "Part 1. Overview \\
Part 2. The generalized lambda distribution \\
Part 3. Quantile distribution methods \\
Part 4. Other families of distributions \\
Part 5. The generalized bootstrap and Monte Carlo
methods \\
Part 6. Assessment of the quality of fits \\
Part 7. Applications \\
Part 8. Appendices",
}
@Article{Kuparinen:2011:TPP,
author = "Anna Kuparinen and Mats Bj{\"o}rklund",
title = "Theory put into practice: an {R} implementation of the
infinite-dimensional model",
journal = j-ECOL-MODELL,
volume = "222",
number = "12",
pages = "2027--2030",
day = "24",
month = jun,
year = "2011",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2011.03.041",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Fri Nov 12 08:37:27 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380011001931",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.sciencedirect.com/journal/ecological-modelling",
}
@Article{Lazar:2011:BRB,
author = "Nicole Lazar",
title = "Book Review: {{\booktitle{Introduction to Probability
Simulation and Gibbs Sampling With R}} by Eric A.
Suess; Bruce E. Trumbo}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "3",
pages = "327--327",
month = aug,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/23210415",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:57 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i23209789;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/23210415",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Lazic:2011:BRBb,
author = "S. E. Lazic",
title = "Book Review: {{\booktitle{The R Book}}, by M. J.
Crawley}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "174",
number = "3",
pages = "843--844",
month = jul,
year = "2011",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2011.00709_5.x;
https://doi.org/10.2307/23013530",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:15 MST 2015",
bibsource = "http://www.jstor.org/stable/i23013504;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/23013530",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "4 Jul 2011",
}
@Article{Li:2011:BRI,
author = "W. K. Li",
title = "Book Review: {{\booktitle{Introductory Time Series
with R}}, by Cowpertwait, P. S. P. and Metcalfe, A.
V.}",
journal = j-BIOMETRICS,
volume = "67",
number = "1",
pages = "328--329",
month = mar,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01554.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:24 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 March 2011",
}
@Article{Li:2011:TRP,
author = "Jiangtian Li and Xiaosong Ma and Srikanth Yoginath and
Guruprasad Kora and Nagiza F. Samatova",
title = "Transparent runtime parallelization of the {R}
scripting language",
journal = j-J-PAR-DIST-COMP,
volume = "71",
number = "2",
pages = "157--168",
month = feb,
year = "2011",
CODEN = "JPDCER",
ISSN = "0743-7315 (print), 1096-0848 (electronic)",
ISSN-L = "0743-7315",
bibdate = "Fri Feb 25 19:11:47 MST 2011",
bibsource = "http://www.sciencedirect.com/science/journal/07437315;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Parallel and Distributed Computing",
journal-URL = "http://www.sciencedirect.com/science/journal/07437315",
}
@Article{Linzer:2011:PRP,
author = "Drew A. Linzer and Jeffrey B. Lewis",
title = "{poLCA}: An {R} Package for Polytomous Variable Latent
Class Analysis",
journal = j-J-STAT-SOFT,
volume = "42",
number = "10",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-15; Accepted 2007-08-02",
}
@Article{Lutkepohl:2011:BRB,
author = "Helmut L{\"u}tkepohl",
title = "Book Review: {Bernhard Pfaff (2006):
\booktitle{Analysis of Integrated and Cointegrated Time
Series with R}}",
journal = j-STAT-PAPERS,
volume = "52",
number = "2",
pages = "495--496",
month = may,
year = "2011",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-009-0278-9",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Sun Feb 1 10:12:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s00362-009-0278-9",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Maindonald:2011:SBRd,
author = "John H. Maindonald",
title = "Short Book Review: {{\booktitle{Exploratory
Multivariate Analysis by Example Using R}} by
Fran{\c{c}}ois Husson, S{\'e}bastien L{\^e},
J{\'e}r{\^o}me Pag{\`e}s}",
journal = j-INT-STAT-REV,
volume = "79",
number = "3",
pages = "498--498",
month = dec,
year = "2011",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2011.00159_19.x;
https://doi.org/10.2307/41305079",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i40058978;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/41305079",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "21 Nov 2011",
}
@Article{Marasinghe:2011:BRM,
author = "Mervyn G. Marasinghe",
title = "Book Review: {{\booktitle{A Modern Approach to
Regression with R}}, by Sheather, S. J.}",
journal = j-BIOMETRICS,
volume = "67",
number = "2",
pages = "675--677",
month = jun,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01614.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "21 June 2011",
}
@Article{Martin:2011:MMC,
author = "Andrew D. Martin and Kevin M. Quinn and Jong Hee
Park",
title = "{MCMCpack}: {Markov} Chain {Monte Carlo} in {R}",
journal = j-J-STAT-SOFT,
volume = "42",
number = "9",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-01-15; Accepted 2007-11-24",
}
@Book{Matloff:2011:ARP,
author = "Norman S. Matloff",
title = "The Art of {R} Programming: Tour of Statistical
Software Design",
publisher = pub-NO-STARCH,
address = pub-NO-STARCH:adr,
pages = "xxiii + 373",
year = "2011",
ISBN = "1-59327-384-3",
ISBN-13 = "978-1-59327-384-2",
LCCN = "QA276.4 .M2925 2011",
bibdate = "Thu Jul 10 13:25:57 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1205/2011025598-b.html;
http://www.loc.gov/catdir/enhancements/fy1205/2011025598-d.html;
http://www.loc.gov/catdir/enhancements/fy1205/2011025598-t.html",
abstract = "A guide to software development using the R
programming language covers such topics as closures,
recursion, anonymous functions, and debugging
techniques.",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; R (Computer program
language)",
tableofcontents = "Introduction \\
Why use R for your statistical work? \\
Whom is this book for? \\
My own background \\
Getting started \\
How to run R \\
A first R session \\
Introduction to functions \\
Preview of some important R data structures \\
Extended example: regression analysis of exam grades
\\
Startup and shutdown \\
Getting help \\
Vectors \\
Scalars, vectors, arrays, and matrices \\
Declarations \\
Recycling \\
Common vector operations \\
Using all() and any() \\
Vectorized operations \\
NA and NULL values \\
Filtering \\
A vectorized if-then-else: the ifelse() function \\
Testing vector equality \\
Vector element names \\
More on c() \\
Matrices and arrays \\
Creating matrices \\
General matrix operations \\
Applying functions to matrix rows and columns \\
Adding and deleting matrix rows and columns \\
More on the vector/matrix distinction \\
Avoiding unintended dimension reduction \\
Naming matrix rows and columns \\
Higher-dimensional arrays \\
Lists \\
Creating lists \\
General list operations \\
Accessing list components and values \\
Applying functions to lists \\
Recursive lists \\
Data frames \\
Creating data frames \\
Other matrix-like operations \\
Merging data frames \\
Applying functions to data frames \\
Factors and tables \\
Factors and levels \\
Common functions used with factors \\
Working with tables \\
Other factor and table-related functions \\
R programming structures \\
Control statements \\
Arithmetic and Boolean operators and values \\
Default values for arguments \\
Return values \\
Functions are objects \\
Environment and scope issues \\
No pointers in R \\
Writing upstairs \\
Recursion \\
Replacement functions \\
Tools for composing function code \\
Writing your own binary operations \\
Anonymous functions \\
Doing math and simulations in R \\
Math functions \\
Functions for statistical distributions \\
Sorting \\
Linear algebra operations on vectors and matrices \\
Set operations \\
Simulation programming in R --Object-oriented
programming \\
S3 classes \\
S4 classes \\
S3 versus S4 \\
Managing your objects \\
Input/output \\
Accessing the keyboard and monitor \\
Reading and writing files \\
Accessing the Internet \\
String manipulation \\
An overview of string-manipulation functions \\
Regular expressions \\
Use of string utilities in the edtdbg debugging tool
\\
Graphics \\
Creating graphs \\
Customizing graphs \\
Saving graphs to files \\
Creating three-dimensional plots \\
Debugging \\
Fundamental principles of debugging \\
Why use a debugging tool? \\
Using R debugging facilities \\
Moving up in the world: more convenient debugging tools
\\
Ensuring consistency in debugging simulation code \\
Syntax and runtime errors \\
Running GDB on R itself \\
Performance enhancement: speed and memory \\
Writing fast R code \\
The dreaded for loop \\
Functional programming and memory issues \\
Using Rprof() to find slow spots in your code \\
Byte code compilation \\
Oh no, the data doesn't fit into memory! \\
Interfacing R to other languages \\
Writing C/C++ functions to be called from R \\
Using R from Python \\
Parallel R \\
The mutual outlinks problem \\
Introducing the snow package \\
Resorting to C \\
General performance considerations \\
Debugging parallel R code \\
Installing R \\
Downloading R from CRAN \\
Installing from a Linux package manager \\
Installing from source \\
Installing and using packages \\
Package basics \\
Loading a package from your hard drive \\
Downloading a package from the Web \\
Listing the functions in a package",
}
@Article{Mebane:2011:GOU,
author = "Walter R. {Mebane, Jr.} and Jasjeet S. Sekhon",
title = "Genetic Optimization Using Derivatives: The {{\tt
rgenoud}} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "42",
number = "11",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-11; Accepted 2007-11-21",
}
@Article{Molas:2011:HGL,
author = "Marek Molas and Emmanuel Lesaffre",
title = "Hierarchical Generalized Linear Models: The {R}
Package {{\tt HGLMMM}}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "13",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-03-03; Accepted 2010-12-06",
}
@Article{Monteiro:2011:BRP,
author = "Jo{\~a}o Vitor Dias Monteiro and Sudipto Banerjee and
Gurumurthy Ramachandran",
title = "{B2Z}: {R} Package for {Bayesian} Two-Zone Models",
journal = j-J-STAT-SOFT,
volume = "43",
number = "2",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-06-09; Accepted 2011-05-12",
}
@Article{Mullen:2011:DRP,
author = "Katharine M. Mullen and David Ardia and David L. Gil
and Donald Windover and James Cline",
title = "{{\tt DEoptim}}: An {R} Package for Global
Optimization by Differential Evolution",
journal = j-J-STAT-SOFT,
volume = "40",
number = "6",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-03-27; Accepted 2011-02-04",
}
@Book{Murrell:2011:RG,
author = "Paul Murrell",
title = "{R} graphics",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xxvii + 518",
year = "2011",
ISBN = "1-4398-3176-9 (hardcover)",
ISBN-13 = "978-1-4398-3176-2 (hardcover)",
LCCN = "T385 .M9 2011",
bibdate = "Thu Jul 10 08:14:55 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
acknowledgement = ack-nhfb,
subject = "Computer graphics; R (Computer program language)",
}
@Article{Mwitondi:2011:BCR,
author = "Kassim S. Mwitondi",
title = "{Bayesian computation with R}",
journal = j-J-APPL-STAT,
volume = "38",
number = "10",
pages = "2367--2368",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2010.484893",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Mon Sep 5 18:53:30 MDT 2011",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Albert:2009:BCR}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "18 Aug 2011",
}
@Article{Nash:2011:UOA,
author = "John C. Nash and Ravi Varadhan",
title = "Unifying Optimization Algorithms to Aid Software
System Users: optimx for {R}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "9",
pages = "??--??",
month = aug,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-08-12; Accepted 2011-08-05",
}
@Article{Neubauer:2011:BRB,
author = "Dean V. Neubauer",
title = "Book Review: {{\booktitle{Introducing Monte Carlo
Methods With R}} by Christian P. Robert; George
Casella}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "2",
pages = "217--218",
month = may,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/23209743",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:56 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i23209715;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/23209743",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Ng:2011:BRB,
author = "Hon Keung Tony Ng",
title = "Book Review: {{\booktitle{Introduction to Scientific
Programming and Simulation Using R}} by Owen Jones;
Robert Maillardet; Andrew Robinson}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "2",
pages = "213--214",
month = may,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/23209737",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:56 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i23209715;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/23209737",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Nielsen:2011:BRB,
author = "S{\o}ren Feodor Nielsen",
title = "Book Review: {{\booktitle{Introductory time series
with R}}}",
journal = j-J-APPL-STAT,
volume = "38",
number = "10",
pages = "2370--2371",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2010.517940",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Mon Sep 5 18:53:30 MDT 2011",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Cowpertwait:2009:ITS}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "18 Aug 2011",
}
@Article{OConnell:2011:HSM,
author = "Jared O'Connell and S{\o}ren H{\o}jsgaard",
title = "Hidden Semi {Markov} Models for Multiple Observation
Sequences: The {{\tt mhsmm}} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "4",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-02; Accepted 2010-09-29",
}
@Article{Petris:2011:SSM,
author = "Giovanni Petris and Sonia Petrone",
title = "State Space Models in {R}",
journal = j-J-STAT-SOFT,
volume = "41",
number = "4",
pages = "??--??",
month = may,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v41/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-26; Accepted 2010-11-10",
}
@Article{Petrou:2011:OPP,
author = "Savvas Petrou and Terence M. Sloan and Muriel Mewissen
and Thorsten Forster and Michal Piotrowski and Bartosz
Dobrzelecki and Peter Ghazal and Arthur Trew and Jon
Hill",
title = "Optimization of a parallel permutation testing
function for the {SPRINT R} package",
journal = j-CCPE,
volume = "23",
number = "17",
pages = "2258--2268",
day = "10",
month = dec,
year = "2011",
CODEN = "CCPEBO",
DOI = "https://doi.org/10.1002/cpe.1787",
ISSN = "1532-0626 (print), 1532-0634 (electronic)",
ISSN-L = "1532-0626",
bibdate = "Mon Dec 5 10:09:00 MST 2011",
bibsource = "http://www.interscience.wiley.com/jpages/1532-0626;
https://www.math.utah.edu/pub/tex/bib/ccpe.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Concurrency and Computation: Practice and Experience",
journal-URL = "http://www.interscience.wiley.com/jpages/1532-0626",
keywords = "statistical language R",
onlinedate = "23 Jun 2011",
}
@Article{Plummer:2011:LRC,
author = "Martyn Plummer and Bendix Carstensen",
title = "{Lexis}: An {R} Class for Epidemiological Studies with
Long-Term Follow-Up",
journal = j-J-STAT-SOFT,
volume = "38",
number = "5",
pages = "??--??",
month = jan,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v38/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-02-09; Accepted 2010-09-16",
}
@Article{Polasek:2011:BRJ,
author = "Wolfgang Polasek",
title = "Book Review: {Jim Albert (2007): \booktitle{Bayesian
computation with R}}",
journal = j-STAT-PAPERS,
volume = "52",
number = "1",
pages = "239--240",
month = feb,
year = "2011",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-009-0206-z",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Sun Feb 1 10:12:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s00362-009-0206-z",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Polasek:2011:NPR,
author = "Wolfgang Polasek",
title = "New publications on {R}",
journal = j-STAT-PAPERS,
volume = "52",
number = "4",
pages = "987--988",
month = nov,
year = "2011",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-010-0323-8",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Sun Feb 1 10:12:35 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s00362-010-0323-8",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Polasek:2011:SBRa,
author = "Wolfgang Polasek",
title = "Short Book Review: {{\booktitle{Using R for Data
Management, Statistical Analysis, and Graphics}} by
Nicholas J. Horton, Ken Kleinman}",
journal = j-INT-STAT-REV,
volume = "79",
number = "2",
pages = "284--285",
month = aug,
year = "2011",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2011.00149_11.x;
https://doi.org/10.2307/41305035",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i40058977;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/41305035",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "2 Aug 2011",
}
@Article{Poole:2011:SRC,
author = "Keith Poole and Jeffrey B. Lewis and James Lo and
Royce Carroll",
title = "Scaling Roll Call Votes with {{\tt wnominate}} in
{R}",
journal = j-J-STAT-SOFT,
volume = "42",
number = "14",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-01; Accepted 2007-08-07",
}
@Book{Rasch:2011:OED,
author = "Dieter Rasch and J{\"u}rgen Pilz and Rob Verdooren and
Albrecht Gebhardt",
title = "Optimal experimental design with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xix + 325",
year = "2011",
ISBN = "1-4398-1697-2 (hardcover), 1-4398-1698-0 (e-book)",
ISBN-13 = "978-1-4398-1697-4 (hardcover), 978-1-4398-1698-1
(e-book)",
LCCN = "QA279 .O668 2011",
bibdate = "Thu Jul 10 10:03:59 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Experimental design is often overlooked in the
literature of applied and mathematical statistics:
statistics is taught and understood as merely a
collection of methods for analyzing data. Consequently,
experimenters seldom think about optimal design,
including prerequisites such as the necessary sample
size needed for a precise answer for an experimental
question. Providing a concise introduction to
experimental design theory, Optimal Experimental Design
with R: Introduces the philosophy of experimental
design Provides an easy process for constructing
experimental designs and calculating necessary sample
size using R programs Teaches by example using a custom
made R program package: OPDOE. Consisting of detailed,
data-rich examples, this book introduces experimenters
to the philosophy of experimentation, experimental
design, and data collection. It gives researchers and
statisticians guidance in the construction of optimum
experimental designs using R programs, including sample
size calculations, hypothesis testing, and confidence
estimation. A final chapter of in-depth theoretical
details is included for interested mathematical
statisticians.",
acknowledgement = ack-nhfb,
subject = "Experimental design; R (Computer program language)",
tableofcontents = "I. Determining the minimal size of an experiment
for given precision \\
2. Sample size determination to completely randomise
designs \\
3. Size of experiments in analysis of variance models
\\
4. Sample size determination in model II of regression
analysis \\
5. Sequential designs \\
II. Construction of optimal designs \\
6.Constructing balanced incomplete block designs \\
7.Constructing fractional factorial designs \\
8. Exact optimal designs and sample sizes in model of
regression analysis \\
III. Special designs \\
9. Second order designs \\
10. Mixture designs \\
A. Theoretical background",
}
@Book{Rasch:2011:SPU,
author = "Dieter Rasch and Klaus D. Kubinger and Takuya
Yanagida",
title = "Statistics in psychology using {R} and {SPSS}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "????",
year = "2011",
ISBN = "0-470-97124-X",
ISBN-13 = "978-0-470-97124-6",
LCCN = "BF39 .S7863 2011",
bibdate = "Mon Jan 16 12:52:49 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Psychometrics; SPSS (Computer file); methods;
Statistics as Topic; Software",
tableofcontents = "Concept of the book \\
Measuring in psychology \\
Psychology: an empirical science \\
Definition: character, chance, experiment, and survey
\\
Numerical and graphical data analysis \\
Probability and distribution \\
Assumptions: random sampling and randomization \\
One sample from one population \\
Two samples from two populations \\
Samples from more than two populations \\
Regression and correlation \\
One sample from one population \\
Samples from more than one population \\
Model generation \\
Theory-generating procedures",
}
@Book{RDCT:2011:IRN,
author = "{R Development Core Team}",
title = "An Introduction to {R}: Notes on {R}: a Programming
Environment for Data Analysis and Graphics: Version
2.13.0 (2011-04-13)",
publisher = "????",
address = "????",
pages = "iv + 103",
year = "2011",
ISBN = "3-900051-12-7",
ISBN-13 = "978-3-900051-12-9",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/R-intro.pdf",
acknowledgement = ack-nhfb,
}
@Book{RDCT:2011:RDI,
author = "{R Development Core Team}",
title = "{R} Data Import\slash Export: Version 2.13.0
(2011-04-13)",
publisher = "????",
address = "????",
pages = "ii + 35",
year = "2011",
ISBN = "3-900051-10-0",
ISBN-13 = "978-3-900051-10-5",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/R-data.pdf",
acknowledgement = ack-nhfb,
}
@Book{RDCT:2011:RIA,
author = "{R Development Core Team}",
title = "{R} Installation and Administration: Version 2.13.0
(2011-04-13)",
publisher = "????",
address = "????",
pages = "iii + 66",
year = "2011",
ISBN = "3-900051-09-7",
ISBN-13 = "978-3-900051-09-9",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/R-admin.pdf",
acknowledgement = ack-nhfb,
}
@Book{RDCT:2011:RIV,
author = "{R Development Core Team}",
title = "{R} Internals: Version 2.13.0 (2011-04-13)",
publisher = "????",
address = "????",
pages = "ii + 58",
year = "2011",
ISBN = "3-900051-14-3",
ISBN-13 = "978-3-900051-14-3",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/R-ints.pdf",
acknowledgement = ack-nhfb,
}
@Book{RDCT:2011:RLD,
author = "{R Development Core Team}",
title = "{R} Language Definition: Version 2.13.0 (2011-04-13)",
publisher = "????",
address = "????",
pages = "iii + 62",
year = "2011",
ISBN = "3-900051-13-5",
ISBN-13 = "978-3-900051-13-6",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/R-lang.pdf",
acknowledgement = ack-nhfb,
}
@Book{RDCT:2011:RLE,
author = "{R Development Core Team}",
title = "{R}: a Language and Environment for Statistical
Computing: Reference Index",
publisher = "????",
address = "????",
pages = "xlix + 3396",
year = "2011",
ISBN = "3-900051-07-0",
ISBN-13 = "978-3-900051-07-5",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/fullrefman.pdf",
acknowledgement = ack-nhfb,
}
@Book{RDCT:2011:WRE,
author = "{R Development Core Team}",
title = "Writing {R} Extensions: Version 2.13.0 (2011-04-13)",
publisher = "????",
address = "????",
pages = "iv + 167",
year = "2011",
ISBN = "3-900051-11-9",
ISBN-13 = "978-3-900051-11-2",
LCCN = "????",
bibdate = "Thu Jun 02 07:05:33 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://cran.r-project.org/doc/manuals/R-exts.pdf",
acknowledgement = ack-nhfb,
}
@Article{Richardson:2011:SBRc,
author = "Alice Richardson",
title = "Short Book Review: {{\booktitle{Multiple Comparisons
Using R}} by Frank Bretz, Torsten Hothorn, Peter
Westfall}",
journal = j-INT-STAT-REV,
volume = "79",
number = "2",
pages = "297--297",
month = aug,
year = "2011",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2011.00149_23.x;
https://doi.org/10.2307/41305047",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i40058977;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/41305047",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "2 Aug 2011",
}
@Article{Ripley:2011:BRI,
author = "Brian D. Ripley",
title = "Book Review: {{\booktitle{Introducing Monte Carlo
Methods with R}}, by Robert, C. P. and Casella, G.}",
journal = j-BIOMETRICS,
volume = "67",
number = "1",
pages = "328--328",
month = mar,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01553.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:24 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 March 2011",
}
@Book{Robinson:2011:IBO,
author = "Peter N. (Peter Nicholas) Robinson and Sebastian
Bauer",
title = "Introduction to bio-ontologies",
publisher = pub-TAYLOR-FRANCIS,
address = pub-TAYLOR-FRANCIS:adr,
pages = "xxvii + 488",
year = "2011",
ISBN = "1-4398-3665-5 (hardcover)",
ISBN-13 = "978-1-4398-3665-1 (hardcover)",
LCCN = "QH324.2 .R618 2011",
bibdate = "Tue May 7 11:15:28 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigact.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC mathematical and computational
biology series",
acknowledgement = ack-nhfb,
subject = "Bioinformatics; Ontologies (Information retrieval)",
tableofcontents = "Ontologies and applications of ontologies in
biomedicine \\
Mathematical logic and inference \\
Probability theory and statistics for bio-ontologies
\\
Ontology language \\
The gene ontology \\
Upper-level ontologies \\
A selective survey of bio-ontologies \\
Overrepresentation analysis \\
Model-based approaches to GO analysis \\
Semantic similarity \\
Frequency-aware Bayesian network searches in attribute
ontologies \\
Inference in gene ontology \\
RDFS semantics and inference \\
Inference in OWL ontologies \\
Algorithmic foundations of computational inference \\
SPARQL \\
Appendixes \\
A. An overview of R \\
B. Information content and entropy \\
C. W3C standards: XML, URIs, and RDF \\
D. W3C standards: OWL",
}
@Article{Roelstraete:2011:FRP,
author = "Bjorn Roelstraete and Yves Rosseel",
title = "{FIAR}: An {R} Package for Analyzing Functional
Integration in the Brain",
journal = j-J-STAT-SOFT,
volume = "44",
number = "13",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-11-13; Accepted 2011-06-21",
}
@Book{Ruppert:2011:SDA,
author = "David Ruppert",
title = "Statistics and data analysis for financial
engineering",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxii + 638",
year = "2011",
ISBN = "1-4419-7786-4",
ISBN-13 = "978-1-4419-7786-1",
LCCN = "HG176.7 .R87 2011",
bibdate = "Fri Jul 25 06:52:48 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy1201/2011282136-b.html;
http://www.loc.gov/catdir/enhancements/fy1201/2011282136-d.html;
http://www.loc.gov/catdir/enhancements/fy1201/2011282136-t.html",
abstract = "Financial engineers have access to enormous quantities
of data but need powerful methods for extracting
quantitative information, particularly about volatility
and risks. Key features of this textbook are:
illustration of concepts with financial markets and
economic data, R Labs with real-data exercises, and
integration of graphical and analytic methods for
modeling and diagnosing modeling errors. Despite some
overlap with the author's undergraduate textbook
Statistics and Finance: An Introduction, this book
differs from that earlier volume in several important
aspects: it is graduate-level; computations and
graphics are done in R; and many advanced topics are
covered, for example, multivariate distributions,
copulas, Bayesian computations, VaR and expected
shortfall, and cointegration. The prerequisites are
basic statistics and probability, matrices and linear
algebra, and calculus. Some exposure to finance is
helpful.",
acknowledgement = ack-nhfb,
author-dates = "1948--",
keywords = "R (statistical software); S-Plus (statistical
software)",
subject = "Financial engineering; Statistical methods; Finance",
tableofcontents = "Introduction \\
Returns \\
Fixed income securities \\
Exploratory data anlysis \\
Modeling univariate distributions \\
Resampling \\
Multivariate statistical models \\
Copulas \\
Time series models: basics \\
Time series models: further topics \\
Portfolio theory \\
Regression: basics \\
Regression: troubleshooting \\
Regression: advanced topics \\
Cointegration \\
The capital asset pricing model \\
Factor models and principal components \\
GARCH models \\
Risk management \\
Bayesian data analysis and MCMC \\
Nonparametric regression and splines",
}
@Article{Sanchez:2011:BRB,
author = "Juana Sanchez",
title = "Book Review: {{\booktitle{Hidden Markov Models for
Time Series --- An Introduction Using R}}}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "BR-4",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/b04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-04; Accepted 2011-10-04",
}
@Article{Sauter:2011:BRB,
author = "Roger M. Sauter",
title = "Book Review: {{\booktitle{R for SAS and SPSS Users}}
(1st ed) by Robert A. Muenchen}",
journal = j-TECHNOMETRICS,
volume = "53",
number = "1",
pages = "101--101",
month = feb,
year = "2011",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/40997301",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:45:55 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40045084;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/40997301",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Scharpf:2011:URP,
author = "Robert B. Scharpf and Rafael A. Irizarry and Matthew
E. Ritchie and Benilton Carvalho and Ingo Ruczinski",
title = "Using the {R} Package {{\tt crlmm}} for Genotyping and
Copy Number Estimation",
journal = j-J-STAT-SOFT,
volume = "40",
number = "12",
pages = "??--??",
month = may,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-09; Accepted 2011-04-18",
}
@Article{Scheike:2011:ACR,
author = "Thomas H. Scheike and Mei-Jie Zhang",
title = "Analyzing Competing Risk Data Using the {R} {{\tt
timereg}} Package",
journal = j-J-STAT-SOFT,
volume = "38",
number = "2",
pages = "??--??",
month = jan,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Feb 7 10:00:59 MST 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v38/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-05-25; Accepted 2010-06-22",
}
@Article{Scheipl:2011:SBV,
author = "Fabian Scheipl",
title = "{spikeSlabGAM}: {Bayesian} Variable Selection, Model
Choice and Regularization for Generalized Additive
Mixed Models in {R}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "14",
pages = "??--??",
month = sep,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-11-23; Accepted 2011-08-31",
}
@Article{Scott:2011:BRI,
author = "David Scott",
title = "Book Review: {{\booktitle{Introduction to Scientific
Programming and Simulation Using R}}, by O. Jones, R.
Maillardet and A. Robinson}",
journal = j-ANZJS,
volume = "53",
number = "2",
pages = "264--265",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1467-842X.2011.00610.x",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 14:30:03 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Sekhon:2011:MPS,
author = "Jasjeet S. Sekhon",
title = "Multivariate and Propensity Score Matching Software
with Automated Balance Optimization: The Matching
package for {R}",
journal = j-J-STAT-SOFT,
volume = "42",
number = "7",
pages = "??--??",
month = jun,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sun Oct 2 07:04:03 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v42/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2007-02-07; Accepted 2007-06-16",
}
@Article{Sevcikova:2011:BRP,
author = "Hana Sevc{\'\i}kov{\'a} and Leontine Alkema and Adrian
Raftery",
title = "{bayesTFR}: An {R} package for Probabilistic
Projections of the Total Fertility Rate",
journal = j-J-STAT-SOFT,
volume = "43",
number = "1",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-03; Accepted 2011-07-06",
}
@Article{Shang:2011:BRB,
author = "Han Lin Shang",
title = "Book Review: {{\booktitle{Dynamic linear models with
R}}}",
journal = j-J-APPL-STAT,
volume = "38",
number = "10",
pages = "2369--2370",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2010.517938",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Mon Sep 5 18:53:30 MDT 2011",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Petris:2009:DLM}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "18 Aug 2011",
}
@Article{Shentu:2011:BRB,
author = "Yue Shentu",
title = "Book Review: {{\booktitle{Clinical Trial Data Analysis
Using R}}}",
journal = j-J-STAT-SOFT,
volume = "43",
number = "BR-1",
pages = "??--??",
month = jul,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-07-18; Accepted 2011-07-18",
}
@Book{Shumway:2011:TSA,
author = "Robert H. Shumway and David S. Stoffer",
title = "Time series analysis and its applications: with {R}
examples",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Third",
pages = "xi + 596",
year = "2011",
DOI = "https://doi.org/10.1007/978-1-4419-7865-3",
ISBN = "1-4419-7865-8 (e-book)",
ISBN-13 = "978-1-4419-7865-3 (e-book)",
LCCN = "QA280 .S58 2011",
bibdate = "Tue Sep 6 08:59:49 MDT 2011",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Springer texts in statistics",
URL = "http://rave.ohiolink.edu/ebooks/ebc/978144197865",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Data processing",
}
@Article{Steibel:2011:BRS,
author = "Juan P. Steibel",
title = "Book Review: {{\booktitle{SAS and R Data Management,
Statistical Analysis, and Graphics}}, by Kleinman, K.
and Horton, N.}",
journal = j-BIOMETRICS,
volume = "68",
number = "3",
pages = "1179--1180",
month = sep,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01658_4.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:26 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 September 2011",
}
@Article{Stoyanov:2011:BRBa,
author = "Jordan Stoyanov",
title = "Book Review: {{\booktitle{Simulation and Inference for
Stochastic Differential Equations: with R Examples}},
by S. M. Iacus}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "174",
number = "2",
pages = "509--509",
month = apr,
year = "2011",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/j.1467-985X.2010.00681_7.x;
https://doi.org/10.2307/23014417",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:15 MST 2015",
bibsource = "http://www.jstor.org/stable/i23013707;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/23014417",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "14 Mar 2011",
}
@Article{Su:2011:MID,
author = "Yu-Sung Su and Andrew Gelman and Jennifer Hill and
Masanao Yajima",
title = "Multiple Imputation with Diagnostics (mi) in {R}:
Opening Windows into the Black Box",
journal = j-J-STAT-SOFT,
volume = "45",
number = "2",
pages = "??--??",
month = dec,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:25 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v45/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-06-15; Accepted 2011-05-30",
}
@Article{Tabelow:2011:SPM,
author = "Karsten Tabelow and J{\"o}rg Polzehl",
title = "Statistical Parametric Maps for Functional {MRI}
Experiments in {R}: The Package {\tt fmri}",
journal = j-J-STAT-SOFT,
volume = "44",
number = "11",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-11-10; Accepted 2011-06-15",
}
@Article{Tabelow:2011:SVM,
author = "Karsten Tabelow and Brandon Whitcher",
title = "Special Volume on Magnetic Resonance Imaging in {R}",
journal = j-J-STAT-SOFT,
volume = "44",
number = "1",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-29; Accepted 2011-09-29",
}
@Article{Taylor:2011:RPW,
author = "Julian Taylor and Arunas Verbyla",
title = "{R} Package wgaim: {QTL} Analysis in Bi-Parental
Populations Using Linear Mixed Models",
journal = j-J-STAT-SOFT,
volume = "40",
number = "7",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-13; Accepted 2011-02-25",
}
@Book{Teetor:2011:RC,
author = "Paul Teetor",
title = "{R} cookbook",
publisher = pub-ORA,
address = pub-ORA:adr,
pages = "xviii + 413",
year = "2011",
ISBN = "0-596-80915-8",
ISBN-13 = "978-0-596-80915-7",
LCCN = "QA276.45.R3 T44 2011",
bibdate = "Thu Jul 10 10:10:42 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1113/2011282768-b.html;
http://www.loc.gov/catdir/enhancements/fy1113/2011282768-d.html;
http://www.loc.gov/catdir/enhancements/fy1113/2011282768-t.html",
acknowledgement = ack-nhfb,
author-dates = "1954--",
subject = "R (Computer program language); Mathematical
statistics; Graphic methods; Data processing;
Statistics; Multiple comparisons (Statistics)",
tableofcontents = "1. Getting Started and Getting Help \\
2. Some Basics \\
3. Navigating the Software \\
4. Input and Output \\
5. Data Structures \\
6. Data Transformations \\
7. Strings and Dates \\
8. Probability \\
9. General Statistics \\
10. Graphics \\
11. Linear Regression and ANOVA \\
12. Useful Tricks \\
13. Beyond Basic Numerics and Statistics \\
14. Time Series Analysis",
}
@Article{Theussl:2011:PCR,
author = "Stefan Theu{\ss}l and Uwe Ligges and Kurt Hornik",
title = "Prospects and challenges in {R} package development",
journal = j-COMP-STAT,
volume = "26",
number = "3",
pages = "395--404",
month = sep,
year = "2011",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-010-0205-5",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:40 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-010-0205-5",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Tusell:2011:KFR,
author = "Fernando Tusell",
title = "{Kalman} Filtering in {R}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "2",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-12; Accepted 2010-08-17",
}
@Article{Unwin:2011:SBRa,
author = "Antony Unwin",
title = "Short Book Review: {{\booktitle{Graphics for
Statistics and Data Analysis with R}} by Kevin J.
Keen}",
journal = j-INT-STAT-REV,
volume = "79",
number = "1",
pages = "114--114",
month = apr,
year = "2011",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2011.00134_1.x;
https://doi.org/10.2307/41306167",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:15 MDT 2014",
bibsource = "http://www.jstor.org/stable/i40059031;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/41306167",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "3 Apr 2011",
}
@Article{vanBuuren:2011:MMI,
author = "Stef van Buuren and Karin Groothuis-Oudshoorn",
title = "{\tt mice}: {Multivariate Imputation by Chained
Equations} in {R}",
journal = j-J-STAT-SOFT,
volume = "45",
number = "3",
pages = "??--??",
month = dec,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:25 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v45/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-01; Accepted 2011-05-30",
}
@Article{vanderWal:2011:IRP,
author = "Willem M. van der Wal and Ronald B. Geskus",
title = "{\tt ipw}: An {R} Package for Inverse Probability
Weighting",
journal = j-J-STAT-SOFT,
volume = "43",
number = "13",
pages = "??--??",
month = sep,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:22 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v43/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-04-07; Accepted 2011-06-13",
}
@Article{Viechtbauer:2011:BRG,
author = "Wolfgang Viechtbauer",
title = "Book Review: {{\booktitle{Graphics for statistics and
data analysis with R}}. Kevin J. Keen, Chapman and
Hall\slash CRC, Boca Raton, 2010. No. of pages: 489.
Price: \$69.95. ISBN: 978-1-58488-087-5}",
journal = j-STAT-MED,
volume = "30",
number = "22",
pages = "2765--2766",
day = "30",
month = sep,
year = "2011",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.4283",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:47:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "14 September 2011",
}
@Article{Wang:2011:DEM,
author = "Xiao-Feng Wang and Bin Wang",
title = "Deconvolution Estimation in Measurement Error Models:
The {R} Package {{\tt decon}}",
journal = j-J-STAT-SOFT,
volume = "39",
number = "10",
pages = "??--??",
month = mar,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:21:59 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v39/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-03-21; Accepted 2010-11-04",
}
@Article{Wang:2011:SRP,
author = "Ji-Ping Wang",
title = "{SPECIES}: An {R} Package for Species Richness
Estimation",
journal = j-J-STAT-SOFT,
volume = "40",
number = "9",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-03-11; Accepted 2011-03-27",
}
@Article{Welvaert:2011:NRP,
author = "Marijke Welvaert and Joke Durnez and Beatrijs
Moerkerke and Geert Berdoolaege and Yves Rosseel",
title = "{{\tt neuRosim}}: An {R} Package for Generating {fMRI}
Data",
journal = j-J-STAT-SOFT,
volume = "44",
number = "10",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-31; Accepted 2011-06-21",
}
@Article{Whitcher:2011:QAD,
author = "Brandon Whitcher and Volker J. Schmid",
title = "Quantitative Analysis of Dynamic Contrast-Enhanced and
Diffusion-Weighted Magnetic Resonance Imaging for
Oncology in {R}",
journal = j-J-STAT-SOFT,
volume = "44",
number = "5",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-20; Accepted 2011-06-17",
}
@Article{Whitcher:2011:WDN,
author = "Brandon Whitcher and Volker J. Schmid and Andrew
Thorton",
title = "Working with the {DICOM} and {NIfTI} Data Standards in
{R}",
journal = j-J-STAT-SOFT,
volume = "44",
number = "6",
pages = "??--??",
month = oct,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Feb 25 18:33:24 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v44/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-25; Accepted 2011-06-07",
}
@Article{Wickham:2011:G,
author = "Hadley Wickham",
title = "\pkg{ggplot2}",
journal = j-WIRES,
volume = "3",
number = "2",
pages = "180--185",
month = mar # "\slash " # apr,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.147",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:52:58 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "04 February 2011",
}
@Article{Wickham:2011:MOR,
author = "Hadley Wickham",
title = "Mutable objects in {R}",
journal = j-COMP-STAT,
volume = "26",
number = "3",
pages = "405--418",
month = sep,
year = "2011",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-011-0235-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:40 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-011-0235-7",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Wickham:2011:TRP,
author = "Hadley Wickham and Dianne Cook and Heike Hofmann and
Andreas Buja",
title = "{{\tt tourr}}: An {R} Package for Exploring
Multivariate Data with Projections",
journal = j-J-STAT-SOFT,
volume = "40",
number = "2",
pages = "??--??",
month = apr,
year = "2011",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri May 13 18:22:01 MDT 2011",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v40/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-31; Accepted 2010-10-07",
}
@Article{Wilkinson:2011:BRG,
author = "Leland Wilkinson",
title = "Book Review: {{\booktitle{ggplot2: Elegant Graphics
for Data Analysis}}, by Wickham, H.}",
journal = j-BIOMETRICS,
volume = "67",
number = "2",
pages = "678--679",
month = jun,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01616.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "21 June 2011",
}
@Book{Williams:2011:DMR,
author = "Graham J. Williams",
title = "Data mining with {Rattle} and {R}: the art of
excavating data for knowledge discovery",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xx + 374",
year = "2011",
ISBN = "1-4419-9889-6 (paperback), 1-4419-9890-X (e-bib)",
ISBN-13 = "978-1-4419-9889-7 (paperback), 978-1-4419-9890-3
(e-bib)",
LCCN = "QA76.9.D343 W556 2011",
bibdate = "Thu Jul 10 12:50:53 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Data mining is the art and science of intelligent data
analysis. By building knowledge from information, data
mining adds considerable value to the ever increasing
stores of electronic data that abound today. In
performing data mining many decisions need to be made
regarding the choice of methodology, the choice of
data, the choice of tools, and the choice of
algorithms. Throughout this book the reader is
introduced to the basic concepts and some of the more
popular algorithms of data mining. With a focus on the
hands-on-end-to-end process for data mining. Williams
guides the reader through various capabilities of the
easy to use, free, and open source Rattle Data Mining
Software built on the sophisticated R Statistical
Software.",
acknowledgement = ack-nhfb,
subject = "Data mining; R (Computer program language); Data
mining; R (Computer program language)",
tableofcontents = "Introduction \\
Getting Started \\
Working with Data \\
Loading Data \\
Exploring Data \\
Interactive Graphics \\
Transforming Data \\
Descriptive and Predictive Analytics \\
Cluster Analysis \\
Association Analysis \\
Decision Trees \\
Random Forests \\
Boosting \\
Support Vector Machines \\
Model Performance Evaluation \\
Deployment",
xxtableofcontents = "Explorations \\
Building models \\
Delivering performance \\
Appendices",
}
@Article{Wood:2011:BRE,
author = "J. T. Wood",
title = "Book Review: {{\booktitle{Environmental and Ecological
Statistics with R}}, by Song S. Qian}",
journal = j-ANZJS,
volume = "53",
number = "1",
pages = "127--128",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1467-842X.2011.00600.x",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 14:30:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Zhang:2011:BRAb,
author = "Kui Zhang",
title = "Book Review: {{\booktitle{Applied Statistical Genetics
with R: For Population-based Association Studies}}, by
Foulkes, A. S.}",
journal = j-BIOMETRICS,
volume = "67",
number = "4",
pages = "1678--1679",
month = dec,
year = "2011",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2011.01707.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:26 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 December 2011",
}
@Book{Zieffler:2011:CGR,
author = "Andrew Zieffler and Jeffrey Harring and Jeffrey D.
Long",
title = "Comparing groups: randomization and bootstrap methods
using {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xxxii + 298",
year = "2011",
ISBN = "0-470-62169-9 (hardcover)",
ISBN-13 = "978-0-470-62169-1 (hardcover)",
LCCN = "QA276.8 .Z53 2011",
bibdate = "Thu Jul 10 12:57:12 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "This book, written by three behavioral scientists for
other behavioral scientists, addresses common issues in
statistical analysis for the behavioral and educational
sciences. Modern Statistical and Computing Methods for
the Behavioral and Educational Sciences using R
emphasizes the direct link between scientific research
questions and data analysis. Purposeful attention is
paid to the integration of design, statistical
methodology, and computation to propose answers to
specific research questions. Furthermore, practical
suggestions for the analysis and presentation of
results, in prose, tables and/or figures, are included.
Optional sections for each chapter include
methodological extensions for readers desiring
additional technical details. Rather than focus on
mathematical calculations like so many other
introductory texts in the behavioral sciences, the
authors focus on conceptual explanations and the use of
statistical computing. Statistical computing is an
integral part of statistical work, and to support
student learning in this area, examples using the R
computer program are provided throughout the book.
Rather than relegate examples to the end of chapters,
the authors interweave computer examples with the
narrative of the book. Topical coverage includes an
introduction to R, data exploration of one variable,
data exploration of multivariate data - comparing two
groups and many groups, permutation and randomization
tests, the independent samples t-Test, the Bootstrap
test, interval estimates and effect sizes, power, and
dependent samples.",
acknowledgement = ack-nhfb,
author-dates = "1974--",
subject = "Bootstrap (Statistics); Random data (Statistics);
Psychology; Data processing; R (Computer program
language); Distribution (Probability theory); SOCIAL
SCIENCE / Statistics",
tableofcontents = "Front Matter \\
An Introduction to R \\
Data Representation and Preparation \\
Data Exploration: One Variable \\
Exploration of Multivariate Data: Comparing two Groups
\\
Exploration of Multivariate Data: Comparing Many Groups
\\
Randomization and Permutation Tests \\
Bootstrap Tests \\
Philosophical Considerations \\
Bootstrap Intervals and Effect Sizes \\
Dependent Samples \\
Planned Contrasts \\
Unplanned Contrasts \\
References",
}
@Article{Adams:2012:BRB,
author = "Wayne Adams and Mark Anderson",
title = "Book Review: {{\booktitle{Optimal Experimental Design
with R}} by Dieter Rasch; Jurgen Pilz; L. R. Verdooren;
Albrecht Gebhardt}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "2",
pages = "203--203",
month = may,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714877",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:01 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080562;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714877",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Adler:2012:RN,
author = "Joseph Adler",
title = "{R} in a Nutshell",
publisher = pub-ORA,
address = pub-ORA:adr,
edition = "Second",
pages = "xix + 699",
year = "2012",
ISBN = "1-4493-1208-X (paperback)",
ISBN-13 = "978-1-4493-1208-4 (paperback)",
LCCN = "????",
bibdate = "Wed Nov 21 15:44:54 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
library.ox.ac.uk:210/ADVANCE; z3950.gbv.de:20011/gvk",
price = "EUR 41.00",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing",
}
@Article{Adragni:2012:GRP,
author = "Kofi Placid Adragni and R. Dennis Cook and Seongho
Wu",
title = "{GrassmannOptim}: An {R} Package for {Grassmann}
Manifold Optimization",
journal = j-J-STAT-SOFT,
volume = "50",
number = "5",
pages = "??--??",
month = jul,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-02-09; Accepted 2012-05-08",
}
@Article{Aizaki:2012:CSB,
author = "Hideo Aizaki",
title = "Code Snippet: Basic Functions for Supporting an
Implementation of Choice Experiments in {R}",
journal = j-J-STAT-SOFT,
volume = "50",
number = "CS-2",
pages = "??--??",
month = sep,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-05-04; Accepted 2012-08-22",
}
@Book{Albert:2012:RE,
author = "Jim Albert and Maria L. Rizzo",
title = "{R} by example",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 359",
year = "2012",
ISBN = "1-4614-1364-8, 1-4614-1365-6 (e-book)",
ISBN-13 = "978-1-4614-1364-6, 978-1-4614-1365-3 (e-book)",
LCCN = "QA276.45.R3 A53 2012",
bibdate = "Thu Jul 10 13:00:44 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "R by Example is an example-based introduction to the
statistical computing environment that does not assume
any previous familiarity with R or other software
packages. R functions are presented in the context of
interesting applications with real data. The purpose of
this book is to illustrate a range of statistical and
probability computations using R for people who are
learning, teaching, or using statistics. Specifically,
this book is written for users who have covered at
least the equivalent of (or are currently studying)
undergraduate level calculus-based courses in
statistics.",
acknowledgement = ack-nhfb,
author-dates = "1953--",
subject = "R (Computer program language); Mathematical
statistics; Data processing",
tableofcontents = "R by Example \\
Preface \\
Contents \\
Notation and Abbreviations \\
1 Introduction \\
1.1 Getting Started \\
1.1.1 Preliminaries \\
1.1.2 Basic operations \\
1.1.3 R Scripts \\
1.1.4 The R Help System \\
1.2 Functions \\
1.3 Vectors and Matrices \\
1.4 Data Frames \\
1.4.1 Introduction to data frames \\
Display all data \\
Display top of data \\
Sample size and dimension \\
Names of variables \\
Structure of the data \\
Missing values \\
1.4.2 Working with a data frame \\
Compute summary statistics \\
Extract data from a data frame \\
Extract a variable using \\
Histograms \\
Attaching a data frame \\
Scatterplots and correlations \\
1.5 Importing Data \\
1.5.1 Entering data manually \\
1.5.2 Importing data from a text file \\
1.12 The simplest way to import spreadsheet data is to
save it in {.csv} \\
1.5.3 Data available on the internet \\
1.6 Packages \\
Searching for data or methods in packages \\
1.7 The R Workspace \\
1.8 Options and Resources \\
The options function \\
Graphical parameters: par \\
1.13 There are so many possible parameters to graphics
functions, that \\
Graph history \\
Other resources \\
Task Views \\
External resources \\
The R Graph Gallery and R Graphical Manual \\
1.9 Reports and Reproducible Research \\
Exercises \\
2 Quantitative Data \\
2.1 Introduction \\
2.2 Bivariate Data: Two Quantitative Variables \\
2.2.1 Exploring the data \\
Body and brain size of mammals \\
2.1 In the display above it is not obvious whether
mammals is a matrix \\
Some basic statistics and plots \\
2.2 We have seen that mammals consists of two numeric
variables, body \\
2.2.2 Correlation and regression line \\
2.3 A fitted line was added to the scatterplot in
Figure 2.3 by the code \\
2.2.3 Analysis of bivariate data by group \\
IQ of twins \\
2.2.4 Conditional plots \\
2.3 Multivariate Data: Several Quantitative Variables
\\
2.3.1 Exploring the data \\
2.3.2 Missing values \\
2.3.3 Summarize by group \\
2.3.4 Summarize pairs of variables \\
2.3.5 Identifying missing values \\
2.4 Time Series Data \\
2.5 Integer Data: Draft Lottery \\
2.6 Sample Means and the Central Limit Theorem \\
2.7 Special Topics \\
2.7.1 Adding a new variable \\
2.7.2 Which observation is the maximum? \\
2.7.3 Sorting a data frame \\
2.7.4 Distances between points \\
2.7.5 Quick look at cluster analysis \\
Exercises \\
3 Categorical data \\
3.1 Introduction \\
3.1.1 Tabulating and plotting categorical data \\
3.1.2 Character vectors and factors \\
3.2 Chi-square Goodness-of-Fit Test \\
3.3 Relating Two Categorical Variables \\
3.3.1 Introduction \\
3.3.2 Frequency tables and graphs \\
3.3.3 Contingency tables \\
3.4 Association Patterns in Contingency Tables \\
3.4.1 Constructing a contingency table \\
3.4.2 Graphing patterns of association \\
3.5 Testing Independence by a Chi-square Test \\
Exercises \\
4 Presentation Graphics \\
4.1 Introduction \\
4.2 Labeling the Axes and Adding a Title \\
4.3 Changing the Plot Type and Plotting Symbol \\
4.4 Overlaying Lines and Line Types \\
4.5 Using Different Colors for Points and Lines \\
Exploratory Data Analysis \\
Basic Inference Models \\
Regression \\
Analysis of Variance I \\
Analysis of Variance II \\
Randomization tests \\
Simulation Experiments \\
Bayesian Modeling \\
Monte Carlo Methods",
}
@Article{Anonymous:2012:BRBj,
author = "Anonymous",
title = "Book Review: {{\booktitle{Analysis of Phylogenetics
and Evolution With R}} (2nd ed.) by Emmanuel Paradis}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "3",
pages = "330--331",
month = aug,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714914",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:02 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080563;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714914",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Anonymous:2012:BRBm,
author = "Anonymous",
title = "Book Review: {{\booktitle{Statistics and Data Analysis
for Microarrays Using R and Bioconductor, 2nd Edition}}
by Sorin Dr{\"a}ghici}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "4",
pages = "445--446",
month = nov,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714939",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:03 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080564;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714939",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Austenfeld:2012:GUI,
author = "Marcel Austenfeld and Wolfram Beyschlag",
title = "A Graphical User Interface for {R} in a Rich Client
Platform for Ecological Modeling",
journal = j-J-STAT-SOFT,
volume = "49",
number = "4",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-01-05; Accepted 2012-02-20",
}
@Article{Basto:2012:SRM,
author = "M{\'a}rio Basto and Jos{\'e} Manuel Pereira",
title = "An {SPSS} {R}-Menu for Ordinal Factor Analysis",
journal = j-J-STAT-SOFT,
volume = "46",
number = "4",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-01-24; Accepted 2011-11-19",
}
@Article{Beh:2012:EMA,
author = "Eric J. Beh",
title = "Exploratory multivariate analysis by example using
{R}",
journal = j-J-APPL-STAT,
volume = "39",
number = "6",
pages = "1381--1382",
month = jun,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2012.657409",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Sun Nov 4 11:01:38 MST 2012",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "14 Feb 2012",
}
@Article{Berge:2012:HRP,
author = "Laurent Berg{\'e} and Charles Bouveyron and
St{\'e}phane Girard",
title = "{HDclassif}: An {R} Package for Model-Based Clustering
and Discriminant Analysis of High-Dimensional Data",
journal = j-J-STAT-SOFT,
volume = "46",
number = "6",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-02; Accepted 2011-11-19",
}
@Article{Bergmeir:2012:NNR,
author = "Christoph Bergmeir and Jos{\'e} M. Ben{\'\i}tez",
title = "Neural Networks in {R} Using the {Stuttgart Neural
Network Simulator}: {RSNNS}",
journal = j-J-STAT-SOFT,
volume = "46",
number = "7",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-20; Accepted 2011-10-03",
}
@Book{Beyersmann:2012:CRM,
author = "Jan Beyersmann and Arthur Allignol and Martin
Schumacher",
title = "Competing risks and multistate models with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xi + 245",
year = "2012",
ISBN = "1-4614-2034-2 (paperback), 1-4614-2035-0 (e-book)",
ISBN-13 = "978-1-4614-2034-7 (paperback), 978-1-4614-2035-4
(e-book)",
LCCN = "QA276.4 .B49 2012",
bibdate = "Thu Jul 21 06:02:56 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Statistics; Computer programs; R (Computer program
language)",
}
@Article{Biecek:2012:RPB,
author = "Przemyslaw Biecek and Ewa Szczurek and Martin Vingron
and Jerzy Tiuryn",
title = "The {R} Package {{\tt bgmm}}: Mixture Modeling with
Uncertain Knowledge",
journal = j-J-STAT-SOFT,
volume = "47",
number = "3",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-15; Accepted 2012-01-16",
}
@Article{Boettiger:2012:PRE,
author = "C. Boettiger and D. T. Lang and P. C. Wainwright",
title = "\pkg{rfishbase}: exploring, manipulating and
visualizing \pkg{FishBase} data from {R}",
journal = j-J-FISH-BIOL,
volume = "81",
number = "6",
pages = "2030--2039",
month = nov,
year = "2012",
CODEN = "JFIBA9",
DOI = "https://doi.org/10.1111/j.1095-8649.2012.03464.x",
ISSN = "0022-1112 (print), 1095-8649 (electronic)",
ISSN-L = "0022-1112",
bibdate = "Tue Nov 16 08:43:34 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jfishbiol2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. Fish Biol.",
fjournal = "Journal of Fish Biology",
journal-URL = "https://onlinelibrary.wiley.com/journal/10958649",
onlinedate = "06 November 2012",
}
@Article{Boshnakov:2012:URD,
author = "Georgi N. Boshnakov",
title = "Using {R} for data management, statistical analysis,
and graphics",
journal = j-J-APPL-STAT,
volume = "39",
number = "6",
pages = "1382--1383",
month = jun,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2012.657412",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Sun Nov 4 11:01:38 MST 2012",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "02 Feb 2012",
}
@Book{Brostrom:2012:EHA,
author = "G{\"o}ran Brostr{\"o}m",
title = "Event history analysis with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xx + 216",
year = "2012",
ISBN = "1-4398-3164-5 (hardcover), 1-4398-3167-X (e-book)",
ISBN-13 = "978-1-4398-3164-9 (hardcover), 978-1-4398-3167-0
(e-book)",
LCCN = "H61 .B338 2012",
bibdate = "Thu Jul 21 05:58:19 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "The R series; Chapman and Hall book",
acknowledgement = ack-nhfb,
subject = "Event history analysis; R (Computer program language);
Social sciences; Statistical methods",
}
@Article{Burr:2012:BRP,
author = "Deborah Burr",
title = "{{\tt bspmma}}: An {R} Package for {Bayesian}
Semiparametric Models for Meta-Analysis",
journal = j-J-STAT-SOFT,
volume = "50",
number = "4",
pages = "??--??",
month = jul,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-08-13; Accepted 2012-05-05",
}
@Article{Camarda:2012:MRP,
author = "Carlo G. Camarda",
title = "{MortalitySmooth}: An {R} Package for Smoothing
{Poisson} Counts with {P}-Splines",
journal = j-J-STAT-SOFT,
volume = "50",
number = "1",
pages = "??--??",
month = jul,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-06-24; Accepted 2012-03-13",
}
@Article{Chalmers:2012:MMI,
author = "R. Philip Chalmers",
title = "{{\tt mirt}}: a Multidimensional Item Response Theory
Package for the {R} Environment",
journal = j-J-STAT-SOFT,
volume = "48",
number = "6",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-08-24; Accepted 2012-02-08",
}
@Article{Chavent:2012:CRP,
author = "Marie Chavent and Vanessa Kuentz-Simonet and
Beno{\^\i}t Liquet and J{\'e}r{\^o}me Saracco",
title = "{ClustOfVar}: An {R} Package for the Clustering of
Variables",
journal = j-J-STAT-SOFT,
volume = "50",
number = "13",
pages = "??--??",
month = sep,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-11-04; Accepted 2012-08-22",
}
@Article{Cheng:2012:IDM,
author = "Ya-Shan Cheng and Chien-Yu Peng",
title = "Integrated Degradation Models in {R} Using {iDEMO}",
journal = j-J-STAT-SOFT,
volume = "49",
number = "2",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-31; Accepted 2011-06-29",
}
@Article{Clifford:2012:VPD,
author = "David Clifford and Glenn Stone",
title = "Variable Penalty Dynamic Time Warping Code for
Aligning Mass Spectrometry Chromatograms in {R}",
journal = j-J-STAT-SOFT,
volume = "47",
number = "8",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-17; Accepted 2012-04-19",
}
@Book{Conway:2012:MLH,
author = "Drew Conway and John Myles White",
title = "Machine learning for hackers",
publisher = pub-ORA-MEDIA,
address = pub-ORA-MEDIA:adr,
pages = "xiii + 303",
year = "2012",
ISBN = "1-4493-0371-4",
ISBN-13 = "978-1-4493-0371-6",
LCCN = "QA76.9.A43 C674 2012",
bibdate = "Sun Jul 26 11:17:32 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1307/2012277057-b.html;
http://www.loc.gov/catdir/enhancements/fy1307/2012277057-d.html;
http://www.loc.gov/catdir/enhancements/fy1307/2012277057-t.html",
acknowledgement = ack-nhfb,
subject = "Computer algorithms; Electronic data processing;
Automation",
tableofcontents = "1. Using R \\
R for Machine Learning \\
Downloading and Installing R \\
IDEs and Text Editors \\
Loading and Installing R Packages \\
R Basics for Machine Learning \\
Further Reading on R \\
2. Data Exploration \\
Exploration versus Confirmation \\
What Is Data? \\
Inferring the Types of Columns in Your Data \\
Inferring Meaning \\
Numeric Summaries \\
Means, Medians, and Modes \\
Quantiles \\
Standard Deviations and Variances \\
Exploratory Data Visualization \\
Visualizing the Relationships Between Columns \\
3. Classification: Spam Filtering \\
This or That: Binary Classification \\
Moving Gently into Conditional Probability \\
Writing Our First Bayesian Spam Classifier \\
Defining the Classifier and Testing It with Hard Ham
\\
Testing the Classifier Against All Email Types \\
Improving the Results \\
4. Ranking: Priority Inbox \\
How Do You Sort Something When You Don't Know the
Order? \\
Ordering Email Messages by Priority: Priority Features
of Email \\
Writing a Priority Inbox \\
Functions for Extracting the Feature Set \\
Creating a Weighting Scheme for Ranking \\
Weighting from Email Thread Activity \\
Training and Testing the Ranker \\
5. Regression: Predicting Page Views \\
Introducing Regression \\
The Baseline Model \\
Regression Using Dummy Variables \\
Linear Regression in a Nutshell \\
Predicting Web Traffic \\
Defining Correlation \\
6. Regularization: Text Regression \\
Nonlinear Relationships Between Columns: Beyond
Straight Lines \\
Introducing Polynomial Regression \\
Methods for Preventing Overfitting \\
Preventing Overfitting with Regularization \\
Text Regression \\
Logistic Regression to the Rescue \\
7. Optimization: Breaking Codes \\
Introduction to Optimization \\
Ridge Regression \\
Code Breaking as Optimization \\
8. PCA: Building a Market Index \\
Unsupervised Learning \\
9. MDS: Visually Exploring US Senator Similarity:
Clustering Based on Similarity \\
A Brief Introduction to Distance Metrics and
Multidirectional Scaling \\
How Do US Senators Cluster? \\
Analyzing US Senator Roll Call Data (101st--111th
Congresses) \\
10. kNN: Recommendation Systems \\
The k-Nearest Neighbors Algorithm \\
R Package Installation Data \\
11. Analyzing Social Graphs \\
Social Network Analysis \\
Thinking Graphically \\
Hacking Twitter Social Graph Data \\
Working with the Google SocialGraph API \\
Analyzing Twitter Networks \\
Local Community Structure \\
Visualizing the Clustered Twitter Network with Gephi
\\
Building Your Own ``Who to Follow'' Engine \\
12. Model Comparison \\
SVMs: The Support Vector Machine \\
Comparing Algorithms",
}
@Book{Cornillon:2012:RS,
author = "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and
Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie
Josse and Maela Kloareg and Eric Matzner-L{\o}ber and
Laurent Rouvi{\`e}re",
title = "{R} for statistics",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xiv + 306",
year = "2012",
ISBN = "1-4398-8145-6 (paperback)",
ISBN-13 = "978-1-4398-8145-3 (paperback)",
LCCN = "QA276.45.R3 S7413 2012",
bibdate = "Thu Jul 10 13:09:23 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.crcpress.com/product/isbn/9781439881453",
abstract = "This book is the English adaptation of the second
edition of the book \booktitle{Statistiques avec R}
which was published in 2008 and was a great success in
the French-speaking world. In this version, a number of
worked examples have been supplemented and new examples
have been added. We hope that readers will enjoy using
this book for reference when working with R. This book
is aimed at statisticians in the widest sense, that is
to say, all those working with datasets: science
students, biologists, economists, etc. All statistical
studies depend on vast quantities of information, and
computerised tools are therefore becoming more and more
essential. There are currently a wide variety of
software packages which meet these requirements. Here
we have opted for R, which has the triple advantage of
being free, comprehensive, and its use is booming.
However, no prior experience of the software is
required. This work aims to be accessible and useful
both for novices and experts alike. This book is
organised into two main sections: the rst part focuses
on the R software and the way it works, and the second
on the implementation of traditional statistical
methods with R. In order to render them as independent
as possible, a brief chapter o ers extra help getting
started (chapter 5, a Quick Start with R) and acts as a
transition: it will help those readers who are more
interested in statistics than in software to be
operational more quickly''",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing",
tableofcontents = "An Overview of R \\
Main Concepts \\
Installing R \\
Work Session \\
Help \\
R Objects \\
Functions \\
Packages \\
Exercises \\
\\
Preparing Data \\
Reading Data from File \\
Exporting Results \\
Manipulating Variables \\
Manipulating Individuals \\
Concatenating Data Tables \\
Cross-Tabulation \\
Exercises \\
\\
R Graphics \\
Conventional Graphical Functions \\
Graphical Functions with lattice \\
Exercises \\
\\
Making Programs with R \\
Control Flows \\
Predefined Functions \\
Creating a Function \\
Exercises \\
\\
Statistical Methods \\
Introduction to the Statistical Methods \\
\\
A Quick Start with R \\
Installing R \\
Opening and Closing R \\
The Command Prompt \\
Attribution, Objects, and Function \\
Selection \\
Other \\
Rcmdr Package \\
Importing (or Inputting) Data \\
Graphs \\
Statistical Analysis \\
\\
Hypothesis Test \\
Confidence Intervals for a Mean \\
Chi-Square Test of Independence \\
Comparison of Two Means \\
Testing Conformity of a Proportion \\
Comparing Several Proportions \\
The Power of a Test \\
\\
Regression \\
Simple Linear Regression \\
Multiple Linear Regression \\
Partial Least Squares (PLS) Regression \\
\\
Analysis of Variance and Covariance \\
One-Way Analysis of Variance \\
Multi-Way Analysis of Variance with Interaction \\
Analysis of Covariance \\
\\
Classification \\
Linear Discriminant Analysis \\
Logistic Regression \\
Decision Tree \\
\\
Exploratory Multivariate Analysis \\
Principal Component Analysis \\
Correspondence Analysis \\
Multiple Correspondence Analysis \\
\\
Clustering \\
Ascending Hierarchical Clustering \\
The k-Means Method \\
\\
Appendix \\
The Most Useful Functions \\
Writing a Formula for the Models \\
The Rcmdr Package \\
The FactoMineR Package \\
Answers to the Exercises",
}
@Book{Cornillon:2012:SAR,
author = "Pierre-Andr{\'e} Cornillon and Arnaud Guyader and
Fran{\c{c}}ois Husson and Nicolas J{\'e}gou and Julie
Josse and Maela Kloareg and Eric Matzner-L{\o}ber and
Laurent Rouvi{\`e}re",
title = "Statistiques avec {R}",
publisher = "Presses universitaires de Rennes",
address = "Rennes, France",
edition = "Third",
pages = "v + 296",
year = "2012",
ISBN = "2-7535-1992-7 (paperback)",
ISBN-13 = "978-2-7535-1992-3 (paperback)",
ISSN = "1295-1765",
LCCN = "QA276.45R3 C67.2012",
bibdate = "Thu Jul 10 13:10:39 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Pratique de la statistique",
URL = "http://catalogue.bnf.fr/ark:/12148/cb42674494g",
acknowledgement = ack-nhfb,
subject = "Statistique math{\'e}matique; Informatique.; R
(logiciel); R (logiciel); R (Langage de programmation);
Statistique; Informatique; Logiciels; R (Langage de
programmation); Statistique.; Logiciels.; Donn{\'e}es
statistiques.; Graphiques.; Programmation
informatique.; Analyse statistique.; Logiciel libre
(Open source)",
}
@Book{Crawley:2012:RB,
author = "Michael J. Crawley",
title = "The {R} book",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Second",
pages = "xxiv + 1051",
year = "2012",
ISBN = "0-470-97392-7 (hardback)",
ISBN-13 = "978-0-470-97392-9 (hardback)",
LCCN = "QA276.45.R3 C73 2013",
bibdate = "Wed Mar 5 08:32:29 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Hugely successful and popular text presenting an
extensive and comprehensive guide for all R users The R
language is recognized as one of the most powerful and
flexible statistical software packages, enabling users
to apply many statistical techniques that would be
impossible without such software to help implement such
large data sets. R has become an essential tool for
understanding and carrying out research. This edition:
Features full colour text and extensive graphics
throughout. Introduces a clear structure with numbered
section headings to help readers locate information
more efficiently. Looks at the evolution of R over the
past five years. Features a new chapter on Bayesian
Analysis and Meta-Analysis. Presents a fully revised
and updated bibliography and reference section. Is
supported by an accompanying website allowing examples
from the text to be run by the user. Praise for the
first edition: ``\ldots{}if you are an R user or
wannabe R user, this text is the one that should be on
your shelf. The breadth of topics covered is
unsurpassed when it comes to texts on data analysis in
R.'' (The American Statistician, August 2008)' The
High-level software language of R is setting standards
in quantitative analysis. And now anybody can get to
grips with it thanks to The R Book\ldots{}'
(Professional Pensions, July 2007).\par
This edition introduces the advantages of the R
environment, in a user-friendly format, to beginners
and intermediate users in a range of disciplines, from
science and engineering to medicine and economics",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing; MATHEMATICS / Probability
and Statistics / General.",
tableofcontents = "Preface \\
1: Getting Started \\
2: Essentials of the R Language \\
3: Data Input \\
4: Dataframes \\
5: Graphics \\
6: Tables \\
7: Mathematics \\
8: Classical Tests \\
9: Statistical Modelling \\
10: Regression \\
11: Analysis of Variance \\
12: Analysis of Covariance \\
13: Generalized Linear Models \\
14: Count Data \\
15: Count Data in Tables \\
16: Proportion Data \\
17: Binary Response Variables \\
18: Generalized Additive Models \\
19: Mixed-Effects Models \\
20: Non-linear Regression \\
21: Meta-analysis \\
22: Bayesian statistics \\
23: Tree Models \\
24: Time Series Analysis \\
25: Multivariate Statistics \\
26: Spatial Statistics \\
27: Survival Analysis \\
28: Simulation Models \\
29: Changing the Look of Graphics",
}
@Article{Cunningham:2012:SGM,
author = "J. Kelly Cunningham",
title = "Should {{\em S\/}} Get More Press?",
journal = j-AMER-STAT,
volume = "66",
number = "4",
pages = "237--237",
year = "2012",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2012.736915",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Tue Apr 30 09:17:45 MDT 2013",
bibsource = "http://www.tandfonline.com/toc/utas20/66/4;
https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://www.tandfonline.com/loi/utas20",
}
@Book{deVries:2012:RDb,
author = "Andrie de Vries and Joris Meys",
title = "{R} for dummies",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xviii + 387",
year = "2012",
ISBN = "1-119-96284-6 (paperback), 1-119-96312-5 (e-book),
1-119-96313-3 (e-book), 1-119-96314-1 (e-book)",
ISBN-13 = "978-1-119-96284-7 (paperback), 978-1-119-96312-7
(e-book), 978-1-119-96313-4 (e-book), 978-1-119-96314-1
(e-book)",
LCCN = "QA276.45.R3 V75 2012",
bibdate = "Thu Jul 10 12:27:42 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "For dummies",
abstract = "With more than two million users, R is the open-source
programming language standard for data analysis and
statistical modeling. R is packed with powerful
programming capabilities, but learning to use R in the
real world can be overwhelming for even the most
seasoned statisticians. This easy-to-follow guide
explains how to use R for data processing and
statistical analysis, and then, shows you how to
present your data using compelling and informative
graphics. You'll gain practical experience using R in a
variety of settings and delve deeper into R's
feature-rich toolset. Includes tips for the initial
installation of R; Demonstrates how to easily perform
calculations on vectors, arrays, and lists of data;
Shows how to effectively visualize data using R's
powerful graphics packages; Gives pointers on how to
find, install, and use add-on packages created by the R
community; Provides tips on getting additional help
from R mailing lists and websites. Whether you're just
starting out with statistical analysis or are a
procedural programming pro, R For Dummies is the book
you need to get the most out of R.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); R (Langage de
programmation); Statistics; Data processing;
Statistique; Informatique; R (Computer program
language); Data processing.",
tableofcontents = "R For Dummies \\
About the Authors \\
Dedication \\
Authors' Acknowledgments \\
Contents at a Glance \\
Table of Contents \\
Introduction \\
About This Book \\
Conventions Used in This Book \\
What You're Not to Read \\
Foolish Assumptions \\
How This Book Is Organized \\
Icons Used in This Book \\
Where to Go from Here \\
Part I: R You Ready? \\
1: Introducing R: The Big Picture \\
Recognizing the Benefits of Using R \\
Looking At Some of the Unique Features of R \\
2: Exploring R \\
Working with a Code Editor \\
Starting Your First R Session \\
Sourcing a Script \\
Navigating the Workspace \\
3: The Fundamentals of R Using the Full Power of
Functions \\
Keeping Your Code Readable \\
Getting from Base R to More \\
Part II: Getting Down to Work in R \\
4: Getting Started with Arithmetic \\
Working with Numbers, Infinity, and Missing Values \\
Organizing Data in Vectors \\
Getting Values in and out of Vectors \\
Working with Logical Vectors \\
Powering Up Your Math with Vector Functions \\
5: Getting Started with Reading and Writing \\
Using Character Vectors for Text Data \\
Manipulating Text \\
Factoring in Factors \\
6: Going on a Date with R \\
Working with Dates \\
Presenting Dates in Different Formats Adding Time
Information to Dates \\
Formatting Dates and Times \\
Performing Operations on Dates and Times \\
7: Working in More Dimensions \\
Adding a Second Dimension \\
Using the Indices \\
Naming Matrix Rows and Columns \\
Calculating with Matrices \\
Adding More Dimensions \\
Combining Different Types of Values in a Data Frame \\
Manipulating Values in a Data Frame \\
Combining Different Objects in a List \\
Part III: Coding in R \\
8: Putting the Fun in Functions \\
Moving from Scripts to Functions \\
Using Arguments the Smart Way \\
Coping with Scoping \\
Dispatching to a Method 9: Controlling the Logical Flow
\\
Making Choices with if Statements \\
Doing Something Else with an if \ldots{} else Statement
\\
Vectorizing Choices \\
Making Multiple Choices \\
Looping Through Values \\
Looping without Loops: Meeting the Apply Family \\
10: Debugging Your Code \\
Knowing What to Look For \\
Reading Errors and Warnings \\
Going Bug Hunting \\
Generating Your Own Messages \\
Recognizing the Mistakes You're Sure to Make \\
11: Getting Help \\
Finding Information in the R Help Files \\
Searching the Web for Help with R \\
Getting Involved in the R Community \\
Making a Minimal Reproducible Example \\
Part IV: Making the Data Talk \\
12: Getting Data into and out of R \\
Getting Data into R \\
Getting Your Data out of R \\
Working with Files and Folders \\
13: Manipulating and Processing Data \\
Deciding on the Most Appropriate Data Structure \\
Creating Subsets of Your Data \\
Adding Calculated Fields to Data \\
Combining and Merging Data Sets \\
Sorting and Ordering Data \\
Traversing Your Data with the Apply Functions \\
Getting to Know the Formula Interface \\
Whipping Your Data into Shape \\
14: Summarizing Data \\
Starting with the Right Data",
}
@Article{Dickhaus:2012:BRM,
author = "Thorsten Dickhaus",
title = "Book Review: {{\booktitle{Multiple Comparisons Using
R}}, by Bretz, F., Hothorn, T., and Westfall, P.}",
journal = j-BIOMETRICS,
volume = "67",
number = "3",
pages = "995--995",
month = sep,
year = "2012",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/j.1541-0420.2012.01813.x",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:29 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "26 September 2012",
}
@Book{Draghici:2012:SDA,
author = "Sorin Dr{\u{a}}ghici",
title = "Statistics and data analysis for microarrays using {R}
and {Bioconductor}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xlviii + 1042",
year = "2012",
ISBN = "1-4398-0975-5 (hardback)",
ISBN-13 = "978-1-4398-0975-4 (hardback)",
LCCN = "QP624.5.D726 D74 2012",
bibdate = "Thu Nov 15 17:17:12 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC mathematical and computational
biology",
acknowledgement = ack-nhfb,
subject = "DNA microarrays; Statistical methods.; Mathematical
statistics; Data processing; R (Computer program
language); Bioconductor (Computer file); SCIENCE /
Biotechnology; MATHEMATICS / Probability and Statistics
/ General; SCIENCE / Life Sciences / Biology /
General",
}
@Article{Eddelbuettel:2012:BRBa,
author = "Dirk Eddelbuettel",
title = "Book Review: {{\booktitle{R in Action}}}",
journal = j-J-STAT-SOFT,
volume = "46",
number = "BR-2",
pages = "??--??",
month = feb,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-02-21; Accepted 2012-02-21",
}
@Article{Eddelbuettel:2012:BRBb,
author = "Dirk Eddelbuettel",
title = "Book Review: {{\booktitle{R for Dummies}}}",
journal = j-J-STAT-SOFT,
volume = "50",
number = "BR-1",
pages = "??--??",
month = aug,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-08-08; Accepted 2012-08-08",
}
@Book{Ekstrom:2012:RP,
author = "Claus Thorn Ekstr{\o}m",
title = "The {R} primer",
publisher = "CRC Press/Taylor and Francis",
address = "Boca Raton, FL, USA",
pages = "xii + 287",
year = "2012",
ISBN = "1-4398-6206-0 (hardcover)",
ISBN-13 = "978-1-4398-6206-3 (hardcover)",
LCCN = "QA276.45.R3 E37 2012",
bibdate = "Thu Jul 10 12:32:23 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
author-dates = "1971--",
subject = "R (Computer program language); Mathematical
statistics; Data processing",
tableofcontents = "1. Importing data \\
Reading spreadsheets \\
Importing data from other statistical software programs
\\
Exporting data \\
2. Manipulating data \\
Working with data frames \\
Factors \\
Transforming variables \\
3. Statistical analyses \\
Descriptive statistics \\
Linear models \\
Generalized linear models \\
Methods for analysis of repeated measurements \\
Specific methods \\
Model validation \\
Contingency tables \\
Agreement \\
4. Multivariate methods \\
Resampling statistics and bootstrapping \\
Robust statistics \\
Non parametric methods \\
Survival analysis \\
4. Graphics \\
High level plots \\
More advanced graphics \\
Working with graphics \\
5. R \\
Getting information \\
R packages \\
The R workspace \\
Bibliography \\
Index",
}
@Article{Er:2012:MGL,
author = "Sebnem Er",
title = "Multivariate generalized linear models using {R}",
journal = j-J-APPL-STAT,
volume = "39",
number = "8",
pages = "1851--??",
month = aug,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2012.681563",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Sun Nov 4 11:01:39 MST 2012",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "23 Apr 2012",
}
@Book{Eubank:2012:SCC,
author = "Randall L. Eubank and Ana Kupresanin",
title = "Statistical computing in {C++} and {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xv + 540",
year = "2012",
ISBN = "1-4200-6650-1 (hardcover)",
ISBN-13 = "978-1-4200-6650-0 (hardcover)",
LCCN = "QA276.4 .E87 2012",
bibdate = "Thu Jul 10 13:05:53 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "When one looks at a book with `statistical computing'
in the title, the expectation is most likely for a
treatment of the topic that has close ties to numerical
analysis. There are many texts written from this
perspective that provide valuable resources for those
who are actively involved in the solution of computing
problems that arise in statistics. The presentation in
the present text represents a departure from this
classical emphasis in that it concentrates on the
writing of code rather than the development and study
of algorithms, per se. The goal is to provide a
treatment of statistical computing that lays a
foundation for original code development in a research
environment. The advancement of statistical methodology
is now inextricably linked to the use of computers. New
methodological ideas must be translated into usable
code and then numerically evaluated relative to
competing procedures. As a result, many statisticians
expend significant amounts of their creative energy
while sitting in front of a computer monitor. The end
products from the vast majority of these efforts are
unlikely to be reflected in changes to core aspects of
numerical methods or computer hardware. Nonetheless,
they are modern statisticians that are (often very)
involved in computing. This book is written with that
particular audience in mind. What does a modern
statistician need to know about computing? Our belief
is that they need to understand at least the basic
principles of algorithmic thinking. The translation of
a mathematical problem into its computational analog
(or analogs) is a skill that must be learned, like any
other, by actively solving relevant problems.",
acknowledgement = ack-nhfb,
author-dates = "1952--",
subject = "Statistics; Data processing; C++ (Computer program
language); R (Computer program language); MATHEMATICS /
Probability and Statistics / General.",
tableofcontents = "1.1. Programming paradigms \\
1.2. Object-oriented programming \\
1.3. What lies ahead \\
2.1. Introduction \\
2.2. Storage in C++ \\
2.3. Integers \\
2.4. Floating-point representation \\
2.5. Errors \\
2.6. Computing a sample variance \\
2.7. Storage in R \\
2.8. Exercises \\
3.1. Introduction \\
3.2. Variables and scope \\
3.3. Arithmetic and logical operators \\
3.4. Control structures \\
3.5. Using arrays and pointers \\
3.6. Functions \\
3.7. Classes, objects and methods \\
3.8. Miscellaneous topics \\
3.8.1. Structs \\
3.8.2. The this pointer \\
3.8.3.const correctness \\
3.8.4. Forward references \\
3.8.5. Strings \\
3.8.6. Namespaces \\
3.8.7. Handling errors \\
3.8.8. Timing a program \\
3.9. Matrix and vector classes \\
3.10. Input, output and templates \\
3.11. Function templates \\
3.12. Exercises \\
4.1. Introduction \\
4.2. Congruential methods \\
4.3. Lehmer type generators in C++ \\
4.4. An FM2 class \\
4.5. Other generation methods \\
4.6. Nonuniform generation \\
4.7. Generating random normals \\
4.8. Generating random numbers in R \\
4.9. Using the R Standalone Math Library \\
4.10. Exercises \\
5.1. Introduction \\
5.2. File input and output \\
5.3. Classes, methods and namespaces \\
5.4. Writing R functions \\
5.5. Avoiding loops in R \\
5.6. An example \\
5.7. Using C/C++ code in R \\
5.8. Exercises \\
6.1. Introduction \\
6.2. Creating a new class \\
6.3. Generic methods \\
6.4. An example \\
6.5. Exercises \\
7.1. Introduction \\
7.2. Solving linear equations \\
7.2.1. Solving triangular systems \\
7.2.2. Gaussian elimination \\
7.2.3. Cholesky decomposition \\
7.2.4. Banded matrices \\
7.2.5. An application: linear smoothing splines \\
7.2.6. Banded matrices via inheritance \\
7.3. Eigenvalues and eigenvectors \\
7.4. Singular value decomposition \\
7.5. Least squares \\
7.6. The Template Numerical Toolkit \\
7.7. Exercises \\
8.1. Introduction \\
8.2. Function objects \\
8.3. Golden section \\
8.3.1. Dealing with multiple minima \\
8.3.2. An application: linear smoothing splines
revisited \\
8.4. Newton's method \\
8.5. Maximum likelihood \\
8.6. Random search \\
8.7. Exercises \\
9.1. Introduction \\
9.2. ADT dictionary \\
9.2.1. Dynamic arrays and quicksort \\
9.2.2. Linked lists and mergesort \\
9.2.3. Stacks and queues \\
9.2.4. Hash tables \\
9.3. ADT priority queue \\
9.3.1. Heaps \\
9.3.2. A simple heap in C++ \\
9.4. ADT ordered set \\
9.4.1. A simple C++ binary search tree \\
9.4.2. Balancing binary trees \\
9.5. Pointer arithmetic, aerators and templates \\
9.5.1. Iterators \\
9.5.2. A linked list template class \\
9.6. Exercises \\
10.1. Introduction \\
10.2. Container basics \\
10.3. Vector and deque \\
10.3.1. Streaming data \\
10.3.2. Flexible data input \\
10.3.3. Guess5 revisited \\
10.4. The C++ list container \\
10.4.1. An example \\
10.4.2. A chaining hash table \\
10.5. Queues \\
10.6. The map and set containers \\
10.7. Algorithm basics \\
10.8. Exercises \\
11.1. Introduction \\
11.2. OpenMP \\
11.3. Basic MPI commands for C++ \\
11.4. Parallel processing in R \\
11.5. Parallel random number generation \\
11.6. Exercises \\
A.1. Getting around and finding things \\
A.2. Seeing what's there \\
A.3. Creating and destroying things \\
A.4. Things that are running and how to stop them \\
B.1. R as a calculator \\
B.2. R as a graphics engine \\
B.3. R for statistical analysis \\
C.1. Pseudo-random numbers \\
C.2. Hash tables \\
C.3. Tuples",
}
@Book{Falissard:2012:AQD,
author = "Bruno Falissard",
title = "Analysis of questionnaire data with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "ix + 269",
year = "2012",
ISBN = "1-4398-1766-9 (hardcover), 1-4398-1767-7",
ISBN-13 = "978-1-4398-1766-7 (hardcover), 978-1-4398-1767-4",
LCCN = "QA276.45.R3 F35 2012",
bibdate = "Thu Jul 10 12:30:46 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "While theoretical statistics relies primarily on
mathematics and hypothetical situations, statistical
practice is a translation of a question formulated by a
researcher into a series of variables linked by a
statistical tool. As with written material, there are
almost always differences between the meaning of the
original text and translated text. Additionally, many
versions can be suggested, each with their advantages
and disadvantages. Analysis of Questionnaire Data with
R translates certain classic research questions into
statistical formulations. As indicated in the title,
the syntax of these statistical formulations is based
on the well-known R language, chosen for its
popularity, simplicity, and power of its structure.
Although syntax is vital, understanding the semantics
is the real challenge of any good translation. In this
book, the semantics of theoretical-to-practical
translation emerges progressively from examples and
experience, and occasionally from mathematical
considerations. Sometimes the interpretation of a
result is not clear, and there is no statistical tool
really suited to the question at hand. Sometimes data
sets contain errors, inconsistencies between answers,
or missing data. More often, available statistical
tools are not formally appropriate for the given
situation, making it difficult to assess to what extent
this slight inadequacy affects the interpretation of
results. Analysis of Questionnaire Data with R tackles
these and other common challenges in the practice of
statistics.",
acknowledgement = ack-nhfb,
subject = "Questionnaires; Data processing; R (Computer program
language)",
tableofcontents = "1. Introduction \\
2. Description of responses \\
3. Description of relationships between variables \\
4. Confidence intervals and statistical tests of
hypothesis \\
5. Introduction to linear, logistic, Poisson and other
regression models \\
6. About statistical modelling \\
7. Principles for the validation of a composite score
\\
8. Introduction to structural equation modelling \\
9. Introduction to data manipulation using R",
}
@Article{Febrero-Bande:2012:SCF,
author = "Manuel Febrero-Bande and Manuel Oviedo de la Fuente",
title = "Statistical Computing in Functional Data Analysis: The
{R} Package {{\tt fda.usc}}",
journal = j-J-STAT-SOFT,
volume = "51",
number = "4",
pages = "??--??",
month = oct,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:13 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-27; Accepted 2012-09-21",
}
@Article{Fellows:2012:DDA,
author = "Ian Fellows",
title = "{Deducer}: a Data Analysis {GUI} for {R}",
journal = j-J-STAT-SOFT,
volume = "49",
number = "8",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-28; Accepted 2011-09-08",
}
@Article{Ferguson:2012:MRP,
author = "Nicole Ferguson and Somnath Datta and Guy Brock",
title = "{msSurv}: An {R} Package for Nonparametric Estimation
of Multistate Models",
journal = j-J-STAT-SOFT,
volume = "50",
number = "14",
pages = "??--??",
month = sep,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-08; Accepted 2012-08-22",
}
@Article{Fieberg:2012:EPA,
author = "John R. Fieberg",
title = "Estimating Population Abundance Using Sightability
Models: {R} {SightabilityModel} Package",
journal = j-J-STAT-SOFT,
volume = "51",
number = "9",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-17; Accepted 2012-08-07",
}
@Book{Field:2012:DSU,
author = "Andy P. Field and Jeremy Miles and Zo{\"e} Field",
title = "Discovering statistics using {R}",
publisher = "Sage",
address = "London, UK",
pages = "xxxiv + 957",
year = "2012",
ISBN = "1-4462-0045-0 (hardcover), 1-4462-0046-9",
ISBN-13 = "978-1-4462-0045-2 (hardcover), 978-1-4462-0046-9",
LCCN = "HA32 .F537 2012",
bibdate = "Thu Jul 10 13:15:47 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Hot on the heels of the award-winning and best selling
\booktitle{Discovering Statistics Using SPSS} Third
Edition, Andy Field has teamed up with Jeremy Miles
(co-author of \booktitle{Discovering Statistics Using
SAS}) to write \booktitle{Discovering Statistics Using
R}. Keeping the uniquely humorous and self-depreciating
style that has made students across the world fall in
love with Andy Field's books, \booktitle{Discovering
Statistics Using R} takes students on a journey of
statistical discovery using the freeware R, a free,
flexible and dynamically changing software tool for
data analysis that is becoming increasingly popular
across the social and behavioral sciences throughout
the world. The journey begins by explaining basic
statistical and research concepts before a guided tour
of the R software environment. Next the importance of
exploring and graphing data will be discovered, before
moving onto statistical tests that are the foundations
of the rest of the book (for e.g. correlation and
regression). Readers will then stride confidently into
intermediate level analyses such as ANOVA, before
ending their journey with advanced techniques such as
MANOVA and multilevel models. Although there is enough
theory to help the reader gain the necessary conceptual
understanding of what they're doing, the emphasis is on
applying what's learned to playful and real-world
examples that should make the experience more fun than
expected.",
acknowledgement = ack-nhfb,
subject = "Social sciences; Statistical methods; Computer
programs; R (Computer program language); Statistics; R
(Computer program language); Computer programs.;
Ci{\`e}ncies socials; M{\`e}todes estad{\'i}stics;
Programes d'ordinador; Estadistica; R (Llenguatge de
programaci{\'o})",
tableofcontents = "Why is my evil lecturer forcing me to learn
statistics? \\
Everything you ever wanted to know about statistics
(well, sort of) \\
The R environment \\
Exploring data with graphs \\
Exploring assumptions \\
Correlation \\
Regression \\
Logistic regression \\
Comparing two means \\
Comparing several means: ANOVA (GLM 1) \\
Analysis of covariance, ANCOVA (GLM 2) \\
Factorial ANOVA (GLM 3) \\
Repeated-measures designs (GLM 4) \\
Mixed designs (GLM 5) \\
Non-parametric tests \\
Multivariate analysis of variance (MANOVA) \\
Exploratory factor analysis \\
Categorical data \\
Multilevel linear models",
}
@Article{Fox:2012:RSP,
author = "John Fox and Marilia S. Carvalho",
title = "The {RcmdrPlugin.survival} Package: Extending the {R
Commander} Interface to Survival Analysis",
journal = j-J-STAT-SOFT,
volume = "49",
number = "7",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-26; Accepted 2011-12-28",
}
@Article{Fricker:2012:BRB,
author = "Ronald D. Fricker",
title = "Book Review: {{\booktitle{Analysis of Questionnaire
Data with R}}}",
journal = j-J-STAT-SOFT,
volume = "46",
number = "BR-1",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/b01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-09; Accepted 2012-01-09",
}
@Article{Fritz:2012:TRP,
author = "Heinrich Fritz and Luis A. Garc{\'\i}a-Escudero and
Agust{\'\i}n Mayo-Iscar",
title = "{{\tt tclust}}: An {R} Package for a Trimming Approach
to Cluster Analysis",
journal = j-J-STAT-SOFT,
volume = "47",
number = "12",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-22; Accepted 2012-03-07",
}
@Article{Galimberti:2012:CTO,
author = "Giuliano Galimberti and Gabriele Soffritti and Matteo
{Di Maso}",
title = "Classification Trees for Ordinal Responses in {R}: The
{{\tt rpartScore}} Package",
journal = j-J-STAT-SOFT,
volume = "47",
number = "10",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-11-23; Accepted 2012-04-13",
}
@Article{Gerber:2012:DAM,
author = "Samuel Gerber and Kristin Potter",
title = "Data Analysis with the {Morse--Smale} Complex: The
{{\tt msr}} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "50",
number = "2",
pages = "??--??",
month = jul,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-03-22; Accepted 2012-04-13",
}
@Article{Goncalves:2012:RPB,
author = "M. Helena Gon{\c{c}}alves and M. Salom{\'e} Cabral and
Adelchi Azzalini",
title = "The {R} Package {{\tt bild}} for the Analysis of
Binary Longitudinal Data",
journal = j-J-STAT-SOFT,
volume = "46",
number = "9",
pages = "??--??",
month = feb,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-06-28; Accepted 2011-11-30",
}
@Article{Gopal:2012:BRP,
author = "Vikneswaran Gopal and Claudio Fuentes and George
Casella",
title = "{{\tt bayesclust}}: An {R} Package for Testing and
Searching for Significant Clusters",
journal = j-J-STAT-SOFT,
volume = "47",
number = "14",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-03-21; Accepted 2012-04-13",
}
@Article{Gruber:2012:TRP,
author = "Susan Gruber and Mark van der Laan",
title = "{\tt tmle}: An {R} Package for Targeted Maximum
Likelihood Estimation",
journal = j-J-STAT-SOFT,
volume = "51",
number = "13",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-07; Accepted 2012-10-02",
}
@Article{Grun:2012:EBR,
author = "Bettina Gr{\"u}n and Ioannis Kosmidis and Achim
Zeileis",
title = "Extended Beta Regression in {R}: Shaken, Stirred,
Mixed, and Partitioned",
journal = j-J-STAT-SOFT,
volume = "48",
number = "11",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-15; Accepted 2011-02-14",
}
@Article{Guolo:2012:RPM,
author = "Annamaria Guolo and Cristiano Varin",
title = "The {R} Package {metaLik} for Likelihood Inference in
Meta-Analysis",
journal = j-J-STAT-SOFT,
volume = "50",
number = "7",
pages = "??--??",
month = aug,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-11-12; Accepted 2012-06-11",
}
@Article{Haggstrom:2012:SBRa,
author = "Olle H{\"a}ggstr{\"o}m",
title = "Short Book Review: {{\booktitle{The R Primer}} by
Claus Thorn {Ekstr{\o}m}}",
journal = j-INT-STAT-REV,
volume = "80",
number = "1",
pages = "197--197",
month = apr,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00179_21.x;
https://doi.org/10.2307/23257192",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i23257161;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/23257192",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "10 Apr 2012",
}
@Article{Hatzinger:2012:PRP,
author = "Reinhold Hatzinger and Regina Dittrich",
title = "{{\tt prefmod}}: An {R} Package for Modeling
Preferences Based on Paired Comparisons, Rankings, or
Ratings",
journal = j-J-STAT-SOFT,
volume = "48",
number = "10",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-23; Accepted 2012-04-05",
}
@Article{He:2012:CSS,
author = "Wenqing He and Juan Xiong and Grace Y. Yi",
title = "Code Snippet: {SIMEX} {R} Package for Accelerated
Failure Time Models with Covariate Measurement Error",
journal = j-J-STAT-SOFT,
volume = "46",
number = "CS-1",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2008-11-25; Accepted 2011-09-01",
}
@Article{Hojsgaard:2012:GIN,
author = "S{\o}ren H{\o}jsgaard",
title = "Graphical Independence Networks with the {{\tt gRain}}
Package for {R}",
journal = j-J-STAT-SOFT,
volume = "46",
number = "10",
pages = "??--??",
month = feb,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-20; Accepted 2012-02-06",
}
@Book{Hojsgaard:2012:GMR,
author = "S{\o}ren H{\o}jsgaard and David Edwards and Steffen L.
Lauritzen",
title = "Graphical models with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "ix + 182",
year = "2012",
ISBN = "1-4614-2298-1 (paperback), 1-4614-2299-X (e-book)",
ISBN-13 = "978-1-4614-2298-3 (paperback), 978-1-4614-2299-0
(e-book)",
LCCN = "QA279 .H64 2012",
bibdate = "Thu Jul 10 12:56:09 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "Graphical modeling (Statistics); R (Computer program
language)",
tableofcontents = "Graphs and conditional independence \\
Log-linear models \\
Bayesian networks \\
Gaussian graphical models \\
Mixed interaction models \\
Graphical models for complex stochastic systems \\
High dimensional modelling \\
References \\
Index",
}
@Article{Horgan:2012:PR,
author = "Jane M. Horgan",
title = "Programming in {R}",
journal = j-WIRES,
volume = "4",
number = "1",
pages = "75--84",
month = jan # "\slash " # feb,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.183",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:53:00 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "01 August 2011",
}
@Article{Hornik:2012:CRA,
author = "Kurt Hornik",
title = "The {Comprehensive R Archive Network}",
journal = j-WIRES,
volume = "4",
number = "4",
pages = "394--398",
month = jul # "\slash " # aug,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1212",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:53:01 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "10 May 2012",
}
@Article{Hornikova:2012:BRBd,
author = "Adriana Horn{\'\i}kov{\'a}",
title = "Book Review: {{\booktitle{A Primer of Ecology With R}}
by Martin Henry H. Stevens}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "4",
pages = "439--440",
month = nov,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714927",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:03 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080564;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714927",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Huang:2012:DRP,
author = "B. Emma Huang and Rohan Shah and Andrew W. George",
title = "{{\tt dlmap}}: An {R} Package for Mixed Model {QTL}
and Association Analysis",
journal = j-J-STAT-SOFT,
volume = "50",
number = "6",
pages = "??--??",
month = aug,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-08; Accepted 2012-05-08",
}
@Article{Iacobucci:2012:BRB,
author = "Alessandra Iacobucci and Christian Robert",
title = "Book Review: {{\booktitle{The Art of R Programming: A
Tour of Statistical Software Design}}, by Norman
Matloff}",
journal = j-CHANCE,
volume = "25",
number = "2",
pages = "55--56",
year = "2012",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2012.685374",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Tue Feb 3 09:42:06 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance: a magazine for people interested in the
analysis of data",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
}
@Article{Jiang:2012:OSP,
author = "Lei Jiang and Pragneshkumar B. Patel and George
Ostrouchov and Ferdinand Jamitzky",
title = "{OpenMP}-style parallelism in data-centered multicore
computing with {R}",
journal = j-SIGPLAN,
volume = "47",
number = "8",
pages = "335--336",
month = aug,
year = "2012",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/2370036.2145882",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Wed Sep 12 12:11:57 MDT 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
note = "PPOPP '12 conference proceedings.",
abstract = "R$^1$ is a domain specific language widely used for
data analysis by the statistics community as well as by
researchers in finance, biology, social sciences, and
many other disciplines. As R programs are linked to
input data, the exponential growth of available data
makes high-performance computing with R imperative. To
ease the process of writing parallel programs in R,
code transformation from a sequential program to a
parallel version would bring much convenience to R
users. In this paper, we present our work in
semi-automatic parallelization of R codes with
user-added OpenMP-style pragmas. While such pragmas are
used at the frontend, we take advantage of multiple
parallel backends with different R packages. We provide
flexibility for importing parallelism with plug-in
components, impose built-in MapReduce for data
processing, and also maintain code reusability. We
illustrate the advantage of the on-the-fly mechanisms
which can lead to significant applications in
data-centered parallel computing.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J706",
}
@Article{Kalisch:2012:CIU,
author = "Markus Kalisch and Martin M{\"a}chler and Diego
Colombo and Marloes H. Maathuis and Peter
B{\"u}hlmann",
title = "Causal Inference Using Graphical Models with the {R}
Package {{\tt pcalg}}",
journal = j-J-STAT-SOFT,
volume = "47",
number = "11",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-18; Accepted 2012-02-23",
}
@Article{Keeble:2012:RP,
author = "Claire Keeble",
title = "The {R} primer",
journal = j-J-APPL-STAT,
volume = "39",
number = "10",
pages = "2303--??",
month = oct,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2012.682453",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Sun Nov 4 11:01:41 MST 2012",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "23 Apr 2012",
}
@Article{Labarre:2012:RBP,
author = "Anthony Labarre",
title = "Review of {{\booktitle{Combinatorial Pattern Matching
Algorithms in Computational Biology using Perl and R}},
by Gabriel Valiente}",
journal = j-SIGACT,
volume = "43",
number = "3",
pages = "48--50",
month = sep,
year = "2012",
CODEN = "SIGNDM",
DOI = "https://doi.org/10.1145/2421096.2421107",
ISSN = "0163-5700 (print), 1943-5827 (electronic)",
ISSN-L = "0163-5700",
bibdate = "Sun May 5 10:25:39 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigact.bib",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGACT News",
journal-URL = "http://dl.acm.org/citation.cfm?id=J697",
}
@Article{Lamigueiro:2012:SSR,
author = "Oscar Perpi{\~n}{\'a}n Lamigueiro",
title = "{solaR}: Solar Radiation and Photovoltaic Systems with
{R}",
journal = j-J-STAT-SOFT,
volume = "50",
number = "9",
pages = "??--??",
month = aug,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-12-21; Accepted 2012-06-18",
}
@Article{Langfelder:2012:FRF,
author = "Peter Langfelder and Steve Horvath",
title = "Fast {R} Functions for Robust Correlations and
Hierarchical Clustering",
journal = j-J-STAT-SOFT,
volume = "46",
number = "11",
pages = "??--??",
month = mar,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-04-02; Accepted 2011-12-20",
}
@Article{Laurent:2012:GRP,
author = "Thibault Laurent and Anne Ruiz-Gazen and Christine
Thomas-Agnan",
title = "{GeoXp}: An {R} Package for Exploratory Spatial Data
Analysis",
journal = j-J-STAT-SOFT,
volume = "47",
number = "2",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-08-26; Accepted 2012-01-25",
}
@Book{Li:2012:BRD,
author = "Yuelin Li and Jonathan Baron",
title = "Behavioral research data analysis with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xii + 245",
year = "2012",
DOI = "https://doi.org/10.1007/978-1-4614-1238-0",
ISBN = "1-4614-1237-4 (paperback), 1-4614-1238-2 (e-book)",
ISBN-13 = "978-1-4614-1237-3 (paperback), 978-1-4614-1238-0
(e-book)",
LCCN = "QA276.45.R3 L5 2012",
bibdate = "Thu Jul 10 13:29:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Statistics; Data
processing; Computer programs; Datenanalyse; Empirische
Forschung; Itemanalyse; R (Programm);
Regressionsanalyse; Verhaltenswissenschaften.",
tableofcontents = "Introduction \\
Reading and Transforming Data Format \\
Statistics for Comparing Means and Proportions \\
R Graphics and Trellis Plots \\
Analysis of Variance \\
Linear and Logistic Regression \\
Statistical Power and Sample Size Considerations \\
Item Response Theory \\
Imputation of Missing Data \\
Linear Mixed Effects Models in Analyzing Repeated
Measures Data \\
Linear Mixed Effects Models in Cluster Randomized
Studies",
}
@Article{Li:2012:CSR,
author = "Mingyu Li and Hui Quan and Joshua Chen and Yoko Tanaka
and Peter Ouyang and Xiaolong Luo and Gang Li",
title = "Code Snippet: {R} Functions for Sample Size and
Probability Calculations for Assessing Consistency of
Treatment Effects in Multi-Regional Clinical Trials",
journal = j-J-STAT-SOFT,
volume = "47",
number = "CS-1",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-09-08; Accepted 2012-02-23",
}
@Article{Li:2012:URW,
author = "Yuelin Li and Ray Baser",
title = "Using {R} and {WinBUGS} to fit a generalized partial
credit model for developing and evaluating
patient-reported outcomes assessments",
journal = j-STAT-MED,
volume = "31",
number = "18",
pages = "2010--2026",
day = "15",
month = aug,
year = "2012",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.4475",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:47:59 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "23 February 2012",
}
@Article{Luo:2012:DRP,
author = "Jingqin Luo and Chengjie Xiong",
title = "{DiagTest3Grp}: An {R} Package for Analyzing
Diagnostic Tests with Three Ordinal Groups",
journal = j-J-STAT-SOFT,
volume = "51",
number = "3",
pages = "??--??",
month = oct,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:13 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-10-21; Accepted 2012-09-22",
}
@Article{Magis:2012:RGR,
author = "David Magis and Gilles Ra{\^\i}che",
title = "Random Generation of Response Patterns under
Computerized Adaptive Testing with the {R} Package
{{\tt catR}}",
journal = j-J-STAT-SOFT,
volume = "48",
number = "8",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-22; Accepted 2012-01-09",
}
@Article{Maindonald:2012:SBRb,
author = "John H. Maindonald",
title = "Short Book Review: {{\booktitle{R for SAS and SPSS
Users}}, Second Edition, by Robert A. Muenchen}",
journal = j-INT-STAT-REV,
volume = "80",
number = "1",
pages = "200--201",
month = apr,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00179_24.x;
https://doi.org/10.2307/23257195",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i23257161;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/23257195",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "10 Apr 2012",
}
@Article{Martin:2012:BRI,
author = "Michael A. Martin",
title = "Book Review: {{\booktitle{An Introduction to Bootstrap
Methods with Applications to R}}, by M. R. Chernick and
R. A. LaBudde}",
journal = j-ANZJS,
volume = "54",
number = "2",
pages = "253--255",
month = jun,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1467-842X.2012.00663.x",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 14:30:07 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Melnykov:2012:MRP,
author = "Volodymyr Melnykov and Wei-Chen Chen and Ranjan
Maitra",
title = "{MixSim}: An {R} Package for Simulating Data to Study
Performance of Clustering Algorithms",
journal = j-J-STAT-SOFT,
volume = "51",
number = "12",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-04; Accepted 2012-08-13",
}
@Article{Mildenberger:2012:BRG,
author = "Thoralf Mildenberger",
title = "Book Review: {{G{\"u}nther} Sawitzki:
\booktitle{Computational statistics. An introduction to
R}}",
journal = j-STAT-PAPERS,
volume = "53",
number = "4",
pages = "1067--1068",
month = nov,
year = "2012",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-011-0393-2",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Sun Feb 1 10:12:37 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s00362-011-0393-2",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Millo:2012:SSP,
author = "Giovanni Millo and Gianfranco Piras",
title = "{{\tt splm}}: Spatial Panel Data Models in {R}",
journal = j-J-STAT-SOFT,
volume = "47",
number = "1",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-18; Accepted 2012-04-05",
}
@Book{Montgomery:2012:ILR,
author = "Douglas C. Montgomery and Elizabeth A. Peck and G.
Geoffrey Vining",
title = "Introduction to linear regression analysis",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Fifth",
pages = "xvi + 645",
year = "2012",
ISBN = "0-470-54281-0",
ISBN-13 = "978-0-470-54281-1",
LCCN = "QA278.2 .M65 2012",
bibdate = "Mon Mar 10 07:42:07 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
series = "Wiley series in probability and statistics",
URL = "http://proquestcombo.safaribooksonline.com/9780470542811",
abstract = "This book describes both the conventional and less
common uses of linear regression in the practical
context of today's mathematical and scientific
research.",
acknowledgement = ack-nhfb,
keywords = "R; SAS",
subject = "Regression analysis; Regression analysis.",
}
@Article{Morandat:2012:EDR,
author = "Flor{\'e}al Morandat and Brandon Hill and Leo Osvald
and Jan Vitek",
title = "Evaluating the Design of the {R} Language",
journal = j-LECT-NOTES-COMP-SCI,
volume = "7313",
pages = "104--131",
year = "2012",
CODEN = "LNCSD9",
DOI = "https://doi.org/10.1007/978-3-642-31057-7_6",
ISSN = "0302-9743 (print), 1611-3349 (electronic)",
ISSN-L = "0302-9743",
bibdate = "Wed Dec 19 15:19:51 MST 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/lncs2012e.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/chapter/10.1007/978-3-642-31057-7_6/",
acknowledgement = ack-nhfb,
book-DOI = "https://doi.org/10.1007/978-3-642-31057-7",
book-URL = "http://www.springerlink.com/content/978-3-642-31057-7",
fjournal = "Lecture Notes in Computer Science",
journal-URL = "http://link.springer.com/bookseries/558",
}
@Article{Munda:2012:PPF,
author = "Marco Munda and Federico Rotolo and Catherine
Legrand",
title = "{\tt parfm}: Parametric Frailty Models in {R}",
journal = j-J-STAT-SOFT,
volume = "51",
number = "11",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-02-17; Accepted 2012-08-10",
}
@Article{Myers:2012:BRBb,
author = "Donald E. Myers",
title = "Book Review: {{\booktitle{Numerical Ecology with R}}
by Daniel Bocard; Fran{\c{c}}ois Gillet; Pierre
Legendre}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "2",
pages = "200--201",
month = may,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714872",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:01 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080562;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714872",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Myers:2012:BRBc,
author = "Donald E. Myers",
title = "Book Review: {{\booktitle{Forest Analytics With R}} by
Andrew P. Robinson; Jeff D. Hamann}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "3",
pages = "320--322",
month = aug,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714901",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:02 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080563;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714901",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Neubauer:2012:BRBa,
author = "Dean V. Neubauer",
title = "Book Review: {{\booktitle{The R Primer}} by Claus
Thorn Ekstr{\o}m}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "3",
pages = "326--327",
month = aug,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714907",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:02 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080563;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714907",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Nia:2012:HDB,
author = "Vahid Partovi Nia and Anthony C. Davison",
title = "High-Dimensional {Bayesian} Clustering with Variable
Selection: The {R} Package {{\tt bclust}}",
journal = j-J-STAT-SOFT,
volume = "47",
number = "5",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-15; Accepted 2012-04-05",
}
@Article{Noguchi:2012:NRS,
author = "Kimihiro Noguchi and Yulia R. Gel and Edgar Brunner
and Frank Konietschke",
title = "{nparLD}: An {R} Software Package for the
Nonparametric Analysis of Longitudinal Data in
Factorial Experiments",
journal = j-J-STAT-SOFT,
volume = "50",
number = "12",
pages = "??--??",
month = sep,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-15; Accepted 2012-08-22",
}
@Article{Nolan:2012:IAS,
author = "Deborah Nolan and Duncan Temple Lang",
title = "Interactive and Animated Scalable Vector Graphics and
{R} Data Displays",
journal = j-J-STAT-SOFT,
volume = "46",
number = "1",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-01-06; Accepted 2011-09-19",
}
@Article{OBrien:2012:SBRa,
author = "Carl M. O'Brien",
title = "Short Book Review: {{\booktitle{Numerical Ecology with
R}} by Daniel Borcard, {Fran{\c{c}}ois} Gillet, Pierre
Legendre}",
journal = j-INT-STAT-REV,
volume = "80",
number = "1",
pages = "201--201",
month = apr,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00179_25.x;
https://doi.org/10.2307/23257196",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i23257161;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/23257196",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "10 Apr 2012",
}
@Article{OBrien:2012:SBRg,
author = "Carl M. O'Brien",
title = "Short Book Review: {{\booktitle{Analysis of
Questionnaire Data with R}} by Bruno Falissard}",
journal = j-INT-STAT-REV,
volume = "80",
number = "3",
pages = "474--475",
month = dec,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00196_5.x",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:18 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "21 Nov 2012",
}
@Book{Paradis:2012:APEn,
author = "Emmanuel Paradis",
title = "Analysis of Phylogenetics and Evolution with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiv + 386 + 89",
year = "2012",
DOI = "https://doi.org/10.1007/978-1-4614-1743-9",
ISBN = "1-4614-1743-0",
ISBN-13 = "978-1-4614-1743-9 $z 978-1-4614-1742-2 (Print)",
LCCN = "QH359-425",
bibdate = "Sat Jun 27 08:39:25 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Use R!",
abstract = "The increasing availability of molecular and genetic
databases coupled with the growing power of computers
gives biologists opportunities to address new issues,
such as the patterns of molecular evolution, and
re-assess old ones, such as the role of adaptation in
species diversification. In the second edition, the
book continues to integrate a wide variety of data
analysis methods into a single and flexible interface:
the R language. This open source language is available
for a wide range of computer systems and has been
adopted as a computational environment by many authors
of statistical software.",
acknowledgement = ack-nhfb,
subject = "Life sciences; Bioinformatics; Evolution (Biology);
Statistics; Evolutionary Biology; Statistics for Life
Sciences, Medicine, Health Sciences; Bioinformatics.;
Evolution (Biology); Life sciences.; Statistics.",
tableofcontents = "Introduction \\
First Steps in R for Phylogeneticists \\
Phylogenetic Data in R \\
Plotting Phylogenies \\
Phylogeny Estimation \\
Analysis of Macroevolution with Phylogenies \\
Simulating Phylogenies and Evolutionary Data \\
Developing and Implementing Phylogenetic Methods in R
\\
Short Course on Regular Expressions",
}
@Article{Parsons:2012:RPI,
author = "Nick Parsons and Tim Friede and Susan Todd and Elsa
Valdes Marquez and Jeremy Chataway and Richard Nicholas
and Nigel Stallard",
title = "An {R} package for implementing simulations for
seamless phase {II\slash III} clinical trials using
early outcomes for treatment selection",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "56",
number = "5",
pages = "1150--1160",
day = "1",
month = may,
year = "2012",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:28 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947310004159",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Pebesma:2012:SST,
author = "Edzer Pebesma",
title = "{\tt spacetime}: Spatio-Temporal Data in {R}",
journal = j-J-STAT-SOFT,
volume = "51",
number = "7",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-05; Accepted 2012-09-26",
}
@Article{Perez:2012:CSI,
author = "Adriana P{\'e}rez and Saijuan Zhang and Victor Kipniss
and Laurence S. Freedman and Raymond J. Carroll",
title = "Code Snippet: {{\tt Intake\_epis\_food()}}: An {R}
Function for Fitting a Bivariate Nonlinear Measurement
Error Model to Estimate Usual and Energy Intake for
Episodically Consumed Foods",
journal = j-J-STAT-SOFT,
volume = "46",
number = "CS-3",
pages = "??--??",
month = mar,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/c03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-02; Accepted 2011-12-15",
}
@Article{Pfahler:2012:BRB,
author = "Lori Pfahler",
title = "Book Review: {{\booktitle{A Handbook of Statistical
Analyses Using R}} (2nd ed.) by Brian S. Everitt;
Torsten Hothorn}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "1",
pages = "100--100",
month = feb,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714839",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:00 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080561;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714839",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Plant:2012:SDA,
author = "Richard E. Plant",
title = "Spatial Data Analysis in Ecology and Agriculture Using
{R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xv + 631",
year = "2012",
ISBN = "1-4398-1913-0 (hardcover)",
ISBN-13 = "978-1-4398-1913-5 (hardcover)",
LCCN = "S566.55 .P53 2012",
bibdate = "Sat Jun 27 09:32:01 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Assuming no prior knowledge of R, \booktitle{Spatial
data analysis in ecology and agriculture using R}
provides practical instruction on the use of the R
programming language to analyze spatial data arising
from research in ecology and agriculture. Written in
terms of four data sets easily accessible online, this
book guides the reader through the analysis of each
data set, including setting research objectives,
designing the sampling plan, data quality control,
exploratory and confirmatory data analysis, and drawing
scientific conclusions. Based on the author's spatial
data analysis course at the University of California,
Davis, the book is intended for classroom use or
self-study by graduate students and researchers in
ecology, geography, and agricultural science with an
interest in the analysis of spatial data.",
acknowledgement = ack-nhfb,
subject = "Agriculture; Statistical methods; Spatial analysis
(Statistics); R (Computer program language)",
tableofcontents = "Working with spatial data \\
R programming environment \\
Statistical properties of spatially autocorrelated data
\\
Measures of spatial autocorrelation \\
Sampling and data collection \\
Preparing spatial data for analysis \\
Preliminary exploration of spatial data \\
Multivariate methods for spatial data exploration \\
Spatial data exploration via multiple regression \\
Variance estimation, the effective sample size, and the
bootstrap \\
Measures of bivariate association between two spatial
variables \\
Mixed model \\
Regression models for spatially autocorrelated data \\
Bayesian analysis of spatially autocorrelated data \\
Analysis of spatiotemporal data \\
Analysis of data from controlled experiements \\
Assembling conclusions \\
Appendix A: Review of mathematical concepts \\
Appendix B: The data sets \\
Appendix C: An R thesaurus",
}
@Book{Putler:2012:CBA,
author = "Daniel S. Putler and Robert E. Krider",
title = "Customer and business analytics: applied data mining
for business decision making using {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxvi + 289",
year = "2012",
ISBN = "1-4665-0396-3",
ISBN-13 = "978-1-4665-0396-0",
LCCN = "HF5415.126 .P88 2012",
bibdate = "Thu Jul 10 13:08:30 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
acknowledgement = ack-nhfb,
subject = "Database marketing; Software; Data mining; Decision
making; Data processing; R (Computer program language);
Database management",
}
@Article{Quintela-del-Rio:2012:NKD,
author = "Alejandro Quintela-del-R{\'\i}o and Graciela
Est{\'e}vez-P{\'e}rez",
title = "Nonparametric Kernel Distribution Function Estimation
with {{\tt kerdiest}}: An {R} Package for Bandwidth
Choice and Applications",
journal = j-J-STAT-SOFT,
volume = "50",
number = "8",
pages = "??--??",
month = aug,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:11 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v50/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-07; Accepted 2012-06-18",
}
@Article{Racine:2012:RPI,
author = "Jeffrey S. Racine",
title = "{RStudio}: A Platform-Independent {IDE} for {R} and
{Sweave}",
journal = j-J-APPL-ECONOMETRICS,
volume = "27",
number = "1",
pages = "167--172",
month = jan # "--" # feb,
year = "2012",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.1278",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:20:32 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/litprog.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "26 October 2011",
}
@Book{Rizopoulos:2012:JML,
author = "Dimitris Rizopoulos",
title = "Joint models for longitudinal and time-to-event data:
with applications in {R}",
volume = "6",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xiv + 261",
year = "2012",
ISBN = "1-4398-7286-4 (hardcover)",
ISBN-13 = "978-1-4398-7286-4 (hardcover)",
LCCN = "QA279 .R59 2012",
bibdate = "Thu Jul 21 05:59:33 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC biostatistics series",
abstract = "Joint models for longitudinal and time-to-event data
have become a valuable tool in the analysis of
follow-up data. These models are applicable mainly in
two settings: First, when focus is in the survival
outcome and we wish to account for the effect of an
endogenous time-dependent covariate measured with
error, and second, when focus is in the longitudinal
outcome and we wish to correct for nonrandom dropout.
Due to their capability to provide valid inferences in
settings where simpler statistical tools fail to do so,
and their wide range of applications, the last 25 years
have seen many advances in the joint modeling field.
Even though interest and developments in joint models
have been widespread, information about them has been
equally scattered in articles, presenting recent
advances in the field, and in book chapters in a few
texts dedicated either to longitudinal or survival data
analysis. However, no single monograph or text
dedicated to this type of models seems to be available.
The purpose in writing this book, therefore, is to
provide an overview of the theory and application of
joint models for longitudinal and survival data. In the
literature two main frameworks have been proposed,
namely the random effects joint model that uses latent
variables to capture the associations between the two
outcomes (Tsiatis and Davidian, 2004), and the marginal
structural joint models based on G estimators (Robins
et al., 1999, 2000). In this book we focus in the
former. Both subfields of joint modeling, i.e.,
handling of endogenous time-varying covariates and
nonrandom dropout, are equally covered and presented in
real datasets.",
acknowledgement = ack-nhfb,
shorttableofcontents = "1. Introduction \\
2. Longitudinal data analysis \\
3. Analysis of event time data \\
4. Joint models for longitudinal and time-to-event data
\\
5. Extensions of the standard joint model \\
6. Joint model diagnostics \\
7. Prediction and accuracy in joint models",
subject = "Numerical analysis; Data processing; R (Computer
program language); MATHEMATICS / Probability and
Statistics / General; MEDICAL / Epidemiology",
tableofcontents = "Preface \\
1: Introduction \\
1.1: Goals \\
1.2: Motivating Studies \\
1.2.1: Primary Biliary Cirrhosis Data \\
1.2.2: AIDS Data \\
1.2.3: Liver Cirrhosis Data \\
1.2.4: Aortic Valve Data \\
1.2.5: Other Applications \\
1.3: Inferential Objectives in Longitudinal Studies \\
1.3.1: Effect of Covariates on a Single Outcome \\
1.3.2: Association between Outcomes \\
1.3.3: Complex Hypothesis Testing \\
1.3.4: Prediction \\
1.3.5: Statistical Analysis with Implicit Outcomes \\
1.4: Overview \\
2: Longitudinal Data Analysis \\
2.1: Features of Longitudinal Data \\
2.2: Linear Mixed-Effects Models \\
2.2.1: Estimation \\
2.2.2: Implementation in R \\
2.3: Missing Data in Longitudinal Studies \\
2.3.1: Missing Data Mechanisms \\
2.3.2: Missing Not at Random Model Families \\
2.4: Further Reading \\
3: Analysis of Event Time Data \\
3.1: Features of Event Time Data \\
3.2: Basic Functions in Survival Analysis \\
3.2.1: Likelihood Construction for Censored Data \\
3.3: Relative Risk Regression Models \\
3.3.1: Implementation in R \\
3.4: Time-Dependent Covariates \\
3.5: Extended Cox Model \\
3.6: Further Reading \\
4: Joint Models for Longitudinal and Time-to-Event Data
\\
4.1: The Basic Joint Model \\
4.1.1: The Survival Submodel \\
4.1.2: The Longitudinal Submodel \\
4.2: Joint Modeling in R: A Comparison with the
Extended Cox Model \\
4.3: Estimation of Joint Models \\
4.3.1: Two-Stage Approaches \\
4.3.2: Joint Likelihood Formulation \\
4.3.3: Standard Errors with an Unspecified Baseline
Risk Function \\
4.3.4: Optimization Control in JM \\
4.3.5: Numerical Integration \\
4.3.6: Numerical Integration Control in JM \\
4.3.7: Convergence Problems \\
4.4: Asymptotic Inference for Joint Models \\
4.4.1: Hypothesis Testing \\
4.4.2: Confidence Intervals \\
4.4.3: Design Considerations \\
4.5: Estimation of the Random Effects \\
4.6: Connection with the Missing Data Framework \\
4.7: Sensitivity Analysis under Joint Models \\
5: Extensions of the Standard Joint Model \\
5.1: Parameterizations \\
5.1.1: Interaction Effects \\
5.1.2: Lagged Effects \\
5.1.3: Time-Dependent Slopes Parameterization \\
5.1.4: Cumulative Effects Parameterization \\
5.1.5: Random-Effects Parameterization \\
5.2: Handling Exogenous Time-Dependent Covariates \\
5.3: Stratified Relative Risk Models \\
5.4: Latent Class Joint Models \\
5.5: Multiple Failure Times \\
5.5.1: Competing Risks \\
5.5.2: Recurrent Events \\
5.6: Accelerated Failure Time Models \\
5.7: Joint Models for Categorical Longitudinal Outcomes
\\
5.7.1: The Generalized Linear Mixed Model (GLMM) \\
5.7.2: Combining Discrete Repeated Measures with
Survival \\
5.8: Joint Models for Multiple Longitudinal Outcomes
\\
6: Joint Model Diagnostics \\
6.1: Residuals for Joint Models \\
6.1.1: Residuals for the Longitudinal Part \\
6.1.2: Residuals for the Survival Part \\
6.2: Dropout and Residuals \\
6.3: Multiple Imputation Residuals \\
6.3.1: Fixed Visit Times \\
6.3.2: Random Visit Times \\
6.4: Random-Effects Distribution \\
7: Prediction and Accuracy in Joint Models \\
7.1: Dynamic Predictions of Survival Probabilities \\
7.1.1: Definition \\
7.1.2: Estimation \\
7.1.3: Implementation in R \\
7.2: Dynamic Predictions for the Longitudinal Outcome
\\
7.3: Effect of Parameterization on Predictions \\
7.4: Prospective Accuracy for Joint Models \\
7.4.1: Discrimination Measures for Binary Outcomes \\
7.4.2: Discrimination Measures for Survival Outcomes
\\
7.4.3: Prediction Rules for Longitudinal Markers \\
7.4.4: Discrimination Indices \\
7.4.5: Estimation under the Joint Modeling Framework
\\
7.4.6: Implementation in R \\
A: A Brief Introduction to R \\
A.1: Obtaining and Installing R and R Packages \\
A.2: Simple Manipulations \\
A.2.1: Basic R Objects \\
A.2.2: Indexing \\
A.3: Import and Manipulate Data Frames \\
A.4: The Formula Interface \\
B: The EM Algorithm for Joint Models \\
B.1: A Short Description of the EM Algorithm \\
B.2: The E-step for Joint Models \\
B.3: The M-step for Joint Models \\
C: Structure of the JM Package \\
C.1: Methods for Standard Generic Functions \\
C.2: Additional Functions \\
References \\
Index",
}
@Article{Robert:2012:SBRa,
author = "Christian P. Robert",
title = "Short Book Review: {{\booktitle{Handbook of Fitting
Statistical Distributions with R}} by Zaven A. Karian,
Edward J. Dudewicz}",
journal = j-INT-STAT-REV,
volume = "80",
number = "1",
pages = "177--178",
month = apr,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00179_2.x;
https://doi.org/10.2307/23257173",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 06:26:16 MDT 2014",
bibsource = "http://www.jstor.org/stable/i23257161;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstor.org/stable/23257173",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "10 Apr 2012",
}
@Article{Rodiger:2012:RCG,
author = "Stefan R{\"o}diger and Thomas Friedrichsmeier and
Prasenjit Kapat and Meik Michalke",
title = "{RKWard}: a Comprehensive Graphical User Interface and
Integrated Development Environment for Statistical
Analysis with {R}",
journal = j-J-STAT-SOFT,
volume = "49",
number = "9",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-28; Accepted 2011-05-06",
}
@Article{Roman-Roman:2012:RPE,
author = "P. Rom{\'a}n-Rom{\'a}n and J. J. Serrano-P{\'e}rez and
F. Torres-Ruiz",
title = "An {R} package for an efficient approximation of
first-passage-time densities for diffusion processes
based on the {FPTL} function",
journal = j-APPL-MATH-COMP,
volume = "218",
number = "17",
pages = "8408--8428",
day = "1",
month = may,
year = "2012",
CODEN = "AMHCBQ",
DOI = "https://doi.org/10.1016/j.amc.2012.01.066",
ISSN = "0096-3003 (print), 1873-5649 (electronic)",
ISSN-L = "0096-3003",
bibdate = "Thu Apr 5 06:00:26 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/applmathcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0096300312001154",
acknowledgement = ack-nhfb,
fjournal = "Applied Mathematics and Computation",
journal-URL = "http://www.sciencedirect.com/science/journal/00963003/",
}
@Article{Rondeau:2012:FRP,
author = "Virginie Rondeau and Yassin Marzroui and Juan R.
Gonzalez",
title = "{{\tt frailtypack}}: An {R} Package for the Analysis
of Correlated Survival Data with Frailty Models Using
Penalized Likelihood Estimation or Parametrical
Estimation",
journal = j-J-STAT-SOFT,
volume = "47",
number = "4",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-11-12; Accepted 2012-01-25",
}
@Article{Rosseel:2012:LRP,
author = "Yves Rosseel",
title = "{{\tt lavaan}}: An {R} Package for Structural Equation
Modeling",
journal = j-J-STAT-SOFT,
volume = "48",
number = "2",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-23; Accepted 2012-02-06",
}
@Article{Roustant:2012:DDT,
author = "Olivier Roustant and David Ginsbourger and Yves
Deville",
title = "{DiceKriging}, {DiceOptim}: Two {R} Packages for the
Analysis of Computer Experiments by Kriging-Based
Metamodeling and Optimization",
journal = j-J-STAT-SOFT,
volume = "51",
number = "1",
pages = "??--??",
month = oct,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:13 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-07-09; Accepted 2012-08-22",
}
@Article{Santos-Fernandez:2012:MRP,
author = "Edgar Santos-Fern{\'a}ndez and Michele Scagliarini",
title = "{MPCI}: An {R} Package for Computing Multivariate
Process Capability Indices",
journal = j-J-STAT-SOFT,
volume = "47",
number = "7",
pages = "??--??",
month = apr,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:07 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v47/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-20; Accepted 2012-04-06",
}
@Article{Sauter:2012:BRB,
author = "Roger M. Sauter",
title = "Book Review: {{\booktitle{Data Mining With Rattle and
R}} (1st ed.) by Graham Williams}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "3",
pages = "323--324",
month = aug,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714903",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:02 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080563;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714903",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Article{Scott:2012:SBR,
author = "David Scott",
title = "Short Book Review: {{\booktitle{Mathematical
Statistics with Resampling and R}} by Laura M. Chihara,
Tim C. Hesterberg}",
journal = j-INT-STAT-REV,
volume = "80",
number = "3",
pages = "472--472",
month = dec,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00196_2.x",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:18 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "21 Nov 2012",
}
@Article{Shang:2012:GSD,
author = "Han Lin Shang",
title = "Graphics for statistics and data analysis with {R}",
journal = j-J-APPL-STAT,
volume = "39",
number = "8",
pages = "1843--1844",
month = aug,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2012.679355",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Sun Nov 4 11:01:39 MST 2012",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "23 Apr 2012",
}
@Article{Snellenburg:2012:GJB,
author = "Joris J. Snellenburg and Sergey Laptenok and Ralf
Seger and Katharine M. Mullen and Ivo H. M. van
Stokkum",
title = "{Glotaran}: a {Java}-Based Graphical User Interface
for the {R} Package {TIMP}",
journal = j-J-STAT-SOFT,
volume = "49",
number = "3",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/java2010.bib;
https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-01-20; Accepted 2011-09-16",
}
@Book{Soetaert:2012:SDE,
author = "Karline Soetaert and Jeff Cash and Francesca Mazzia",
title = "Solving Differential Equations in {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 248",
year = "2012",
DOI = "https://doi.org/10.1007/978-3-642-28070-2",
ISBN = "3-642-28069-2 (hardcover), 3-642-28070-6 (e-book)",
ISBN-13 = "978-3-642-28069-6 (hardcover), 978-3-642-28070-2
(e-book)",
LCCN = "QA371.5.D37 S64 2012",
MRclass = "68N15 65Lxx",
bibdate = "Tue Mar 13 16:56:48 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/numana2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Mathematics plays an important role in many scientific
and engineering disciplines. This book deals with the
numerical solution of differential equations, a very
important branch of mathematics. Our aim is to give a
practical and theoretical account of how to solve a
large variety of differential equations, comprising
ordinary differential equations, initial value problems
and boundary value problems, differential algebraic
equations, partial differential equations and delay
differential equations. The solution of differential
equations using R is the main focus of this book. It is
therefore intended for the practitioner, the student
and the scientist, who wants to know how to use R for
solving differential equations. However, it has been
our goal that non-mathematicians should at least
understand the basics of the methods, while obtaining
entrance into the relevant literature that provides
more mathematical background. Therefore, each chapter
that deals with R examples is preceded by a chapter
where the theory behind the numerical methods being
used is introduced. In the sections that deal with the
use of R for solving differential equations, we have
taken examples from a variety of disciplines, including
biology, chemistry, physics, pharmacokinetics. Many
examples are well-known test examples, used frequently
in the field of numerical analysis.",
acknowledgement = ack-nhfb,
subject = "Statistics; Computer simulation; Differential
equations; Differential equations, Partial; Computer
science; Mathematics; Mathematical statistics;
Statistics and Computing/Statistics Programs; Ordinary
Differential Equations; Partial Differential Equations;
Computational Mathematics and Numerical Analysis;
Simulation and Modeling; Mathematics.; Computer
simulation.; Differential equations.; Differential
equations, Partial.; Mathematical statistics.;
Statistics.",
tableofcontents = "1 Differential Equations / 1 \\
1.1 Basic Theory of Ordinary Differential Equations / 1
\\
1.1.1 First Order Differential Equations / 1 \\
1.1.2 Analytic and Numerical Solutions / 2 \\
1.1.3 Higher Order Ordinary Differential Equations / 3
\\
1.1.4 Initial and Boundary Values / 4 \\
1.1.5 Existence and Uniqueness of Analytic Solutions /
5 \\
1.2 Numerical Methods / 6 \\
1.2.1 The Euler Method / 6 \\
1.2.2 Implicit Methods / 7 \\
1.2.3 Accuracy and Convergence of Numerical Methods / 8
\\
1.2.4 Stability and Conditioning / 9 \\
1.3 Other Types of Differential Equations / 11 \\
1.3.1 Partial Differential Equations / 11 \\
1.3.2 Differential Algebraic Equations / 12 \\
1.3.3 Delay Differential Equations / 13 \\
References / 13 \\
2 Initial Value Problems / 15 \\
2.1 Runge--Kutta Methods / 15 \\
2.1.1 Explicit Runge--Kutta Formulae / 15 \\
2.1.2 Deriving a Runge--Kutta Formula / 17 \\
2.1.3 Implicit Runge--Kutta Formulae / 22 \\
2.2 Linear Multistep methods / 22 \\
2.2.1 Convergence, Stability and Consistency / 23 \\
2.2.2 Adams Methods / 25 \\
2.2.3 Backward Differentiation Formulae / 27 \\
2.2.4 Variable Order--Variable Coefficient Formulae for
Linear Multistep Methods / 29 \\
2.3 Boundary Value Methods / 30 \\
2.4 Modified Extended Backward Differentiation Formulae
/ 31 \\
2.5 Stiff Problems / 32 \\
2.5.1 Stiffness Detection / 33 \\
2.5.2 Non-stiffness Test / 34 \\
2.6 Implementing Implicit Methods / 34 \\
2.6.1 Fixed-Point Iteration to Convergence / 34 \\
2.6.2 Chord Iteration / 35 \\
2.6.3 Predictor--Corrector Methods / 36 \\
2.6.4 Newton Iteration for Implicit Runge--Kutta
Methods / 36 \\
2.7 Codes to Solve Initial Value Problems / 37 \\
2.7.1 Codes to Solve Non-stiff Problems / 38 \\
2.7.2 Codes to Solve Stiff Problems / 38 \\
2.7.3 Codes that Switch Between Stiff and Non-stiff
Solvers / 38 \\
References / 39 \\
3 Solving Ordinary Differential Equations in R / 41 \\
3.1 Implementing Initial Value Problems in R / 41 \\
3.1.1 A Differential Equation Comprising One Variable /
42 \\
3.1.2 Multiple Variables: The Lorenz Model / 44 \\
3.2 Runge--Kutta Methods / 45 \\
3.2.1 Rigid Body Equations / 47 \\
3.2.2 Arenstorf Orbits / 49 \\
3.3 Linear Multistep Methods / 51 \\
3.3.1 Seven Moving Stars / 52 \\
3.3.2 A Stiff Chemical Example / 56 \\
3.4 Discontinuous Equations, Events / 59 \\
3.4.1 Pharmacokinetic Models / 60 \\
3.4.2 A Bouncing Ball / 64 \\
3.4.3 Temperature in a Climate-Controlled Room / 66 \\
3.5 Method Selection / 68 \\
3.5.1 The van der Pol Equation / 70 \\
3.6 Exercises / 75 \\
3.6.1 Getting Started with IVP / 75 \\
3.6.2 The Robertson Problem / 76 \\
3.6.3 Displaying Results in a Phase-Plane Graph / 76
\\
3.6.4 Events and Roots / 78 \\
3.6.5 Stiff Problems / 79 \\
References / 79 \\
4 Differential Algebraic Equations / 81 \\
4.1 Introduction / 81 \\
4.1.1 The Index of a DAE / 82 \\
4.1.2 A Simple Example / 83 \\
4.1.3 DAEs in Hessenberg Form / 84 \\
4.1.4 Hidden Constraints and the Initial Conditions /
85 \\
4.1.5 The Pendulum Problem / 86 \\
4.2 Solving DAEs / 87 \\
4.2.1 Semi-implicit DAEs of Index 1 / 87 \\
4.2.2 General Implicit DAEs of Index 1 / 88 \\
4.2.3 Discretization Algorithms / 89 \\
4.2.4 DAEs of Higher Index / 90 \\
4.2.5 Index of a DAE Variable / 93 \\
References / 94 \\
5 Solving Differential Algebraic Equations in R / 95
\\
5.1 Differential Algebraic Equation Solvers in R / 95
\\
5.2 A Simple DAE of Index 2 / 96 \\
5.2.1 Solving the DAEs in General Implicit Form / 97
\\
5.2.2 Solving the DAEs in Linearly Implicit Form / 98
\\
5.3 A Nonlinear Implicit ODE / 98 \\
5.4 A DAE of Index 3: The Pendulum Problem / 100 \\
5.5 Multibody Systems / 101 \\
5.5.1 The Car Axis Problem / 102 \\
5.6 Electrical Circuit Models / 106 \\
5.6.1 The Transistor Amplifier / 107 \\
5.7 Exercises / 111 \\
5.7.1 A Simple DAE / 111 \\
5.7.2 The Robertson Problem / 111 \\
5.7.3 The Pendulum Problem Revisited / 111 \\
5.7.4 The Akzo Nobel Problem / 112 \\
References / 115 \\
6 Delay Differential Equations / 117 \\
6.1 Delay Differential Equations / 117 \\
6.1.1 DDEs with Delays of the Dependent Variables / 118
\\
6.1.2 DDEs with Delays of the Derivatives / 118 \\
6.2 Difficulties when Solving DDEs / 119 \\
6.2.1 Discontinuities in DDEs / 119 \\
6.2.2 Small and Vanishing Delays / 120 \\
6.3 Numerical Methods for Solving DDEs / 121 \\
References / 121 \\
7 Solving Delay Differential Equations in R / 123 \\
,7.1 Delay Differential Equation Solvers in R / 123 \\
7.2 Two Simple Examples / 124 \\
7.2.1 DDEs Involving Solution Delay Terms / 124 \\
7.2.2 DDEs Involving Derivative Delay Terms / 124 \\
7.3 Chaotic Production of White Blood Cells / 125 \\
7.4 A DDE Involving a Root Function / 127 \\
7.5 Vanishing Time Delays / 128 \\
7.6 Predator--Prey Dynamics with Harvesting / 130 \\
7.7 Exercises / 132 \\
7.7.1 The Lemming Model / 132 \\
7.7.2 Oberle and Pesch / 132 \\
7.7.3 An Epidemiological Model / 133 \\
7.7.4 A Neutral DDE / 134 \\
7.7.5 Delayed Cellular Neural Networks With Impulses /
134 \\
References / 135 \\
8 Partial Differential Equations / 137 \\
8.1 Partial Differential Equations / 137 \\
8.1.1 Alternative Formulations / 138 \\
8.1.2 Polar, Cylindrical and Spherical Coordinates /
140 \\
8.1.3 Boundary Conditions / 141 \\
8.2 Solving PDEs / 142 \\
8.3 Discretising Derivatives / 143 \\
8.3.1 Basic Diffusion Schemes / 144 \\
8.3.2 Basic Advection Schemes / 145 \\
8.3.3 Flux-Conservative Discretisations / 147 \\
8.3.4 More Complex Advection Schemes / 148 \\
8.4 The Method Of Lines / 152 \\
8.5 The Finite Difference Method / 153 \\
References / 153 \\
9 Solving Partial Differential Equations in R / 157 \\
9.1 Methods for Solving PDEs in R / 157 \\
9.1.1 Numerical Approximations / 157 \\
9.1.2 Solution Methods / 159 \\
9.2 Solving Parabolic, Elliptic and Hyperbolic PDEs in
R / 160 \\
9.2.1 The Heat Equation / 160 \\
9.2.2 The Wave Equation / 163 \\
9.2.3 Poisson and Laplace's Equation / 166 \\
9.2.4 The Advection Equation / 168 \\
9.3 More Complex Examples / 170 \\
9.3.1 The Brusselator in One Dimension / 170 \\
9.3.2 The Brusselator in Two Dimensions / 173 \\
9.3.3 Laplace Equation in Polar Coordinates / 174 \\
9.3.4 The Time-Dependent 2-D Sine-Gordon Equation / 176
\\
9.3.5 The Nonlinear Schr{\"o}dinger Equation / 179 \\
9.4 Exercises / 181 \\
9.4.1 The Gray--Scott Equation / 181 \\
9.4.2 A Macroscopic Model of Traffic / 182 \\
9.4.3 A Vibrating String / 183 \\
9.4.4 A Pebble in a Bucket of Water / 184 \\
9.4.5 Combustion in 2-D / 184 \\
References / 185 \\
10 Boundary Value Problems / 187 \\
10.1 Two-Point Boundary Value Problems / 187 \\
10.2 Characteristics of Boundary Value Problems / 188
\\
10.2.1 Uniqueness of Solutions / 188 \\
10.2.2 Isolation of Solutions / 189 \\
10.2.3 Stiffness of Boundary Value Problems and
Dichotomy / 189 \\
10.2.4 Conditioning of Boundary Value Problems / 190
\\
10.2.5 Singular Problems / 191 \\
10.3 Boundary Conditions / 192 \\
10.3.1 Separated Boundary Conditions / 192 \\
10.3.2 Defining Good Boundary Conditions / 193 \\
10.3.3 Problems Defined on an Infinite Interval / 193
\\
10.4 Methods of Solution / 194 \\
10.5 Shooting Methods for Two-Point BVPs / 194 \\
10.5.1 The Linear Case / 194 \\
10.5.2 The Nonlinear Case / 195 \\
10.5.3 Multiple Shooting / 196 \\
10.6 Finite Difference Methods / 197 \\
10.6.1 A Low Order Method for Second Order Equations /
197 \\
10.6.2 Other Low Order Methods / 198 \\
10.6.3 Higher Order Methods Based on Collocation
Runge--Kutta Schemes / 199 \\
10.6.4 Higher Order Methods Based on Mono Implicit
Runge--Kutta Formulae / 200 \\
10.6.5 Higher Order Methods Based on Linear Multistep
Formulae / 201 \\
10.6.6 Deferred Correction / 202 \\
10.7 Codes for the Numerical Solution of Boundary Value
Problems / 203 \\
References / 203 \\
11 Solving Boundary Value Problems in R / 207 \\
11.1 Boundary Value Problem Solvers in R / 207 \\
11.2 A Simple BVP Example / 208 \\
11.2.1 Implementing the BVP in First Order Form / 208
\\
11.2.2 Implementing the BVP in Second Order Form / 209
\\
11.3 A More Complex BVP Example / 210 \\
11.4 More Complex Initial or End Conditions / 214 \\
11.5 Solving a Boundary Value Problem Using
Continuation / 216 \\
11.5.1 Manual Continuation / 216 \\
11.5.2 Automatic Continuation / 219 \\
11.6 BVPs with Unknown Constants / 220 \\
11.6.1 The Elastica Problem / 221 \\
11.6.2 Non-separated Boundary Conditions / 222 \\
11.6.3 An Unknown Integration Interval / 225 \\
11.7 Integral Constraints / 228 \\
11.8 Sturm--Liouville Problems / 229 \\
11.9 A Reaction Transport Problem / 230 \\
11.10 Exercises / 233 \\
11.10.1 A Stiff Boundary Value Problem / 233 \\
11.10.2 The Mathieu Equation / 234 \\
11.10.3 Another Swirling Flow Problem / 234 \\
11.10.4 Another Reaction Transport Problem / 236 \\
References / 237 \\
A Appendix / 239 \\
A. 1 Butcher Tableaux for Some Runge--Kutta Methods : /
239 \\
A.2 Coefficients for Some Linear Multistep Formulae /
239 \\
A.3 Implemented Integration Methods for Solving Initial
Value Problems in R / 241 \\
A.4 Other Integration Methods in R / 242 \\
References / 242 \\
Index / 245",
}
@Book{Takezawa:2012:GRG,
author = "Kunio Takezawa",
title = "Guidebook to {R} graphics using Microsoft Windows",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "263",
year = "2012",
ISBN = "1-118-02639-X (paperback)",
ISBN-13 = "978-1-118-02639-7 (paperback)",
LCCN = "T385 .T346 2012",
bibdate = "Thu Jul 10 08:14:55 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://catalogimages.wiley.com/images/db/jimages/9781118026397.jpg",
abstract = "\booktitle{Guidebook to R Graphics Using Microsoft
Windows} supplies an elementary-level introduction to
the R software environment while also presenting a
unique focus on software's ability to generate
high-quality graphics. Rather than speak to readers who
use R on a regular basis to perform statistical
analyses, this book addresses the audience of
researchers and students who are not familiar with the
software but would like to utilize its graphic
functionalities to create visual representations of
data for use in their everyday work. The author
presents the most commonly-used methods for
constructing graphs --- allowing readers to gain
familiarity with the program's main features, rather
than outline R functions and operations in great
detail. The book begins with two introductory chapters
on getting started with R, producing and running R
programs, and techniques for sharing displayed graphics
with other softwares and saving graphs as digital
files. A discussion of base-package plotting functions
is also provided along with how-to guides for
developing various kinds of graphics for statistical
analysis, including steam-and-leaf displays, boxplots,
histograms, scatterplots matrices, and map graphs.
Next, the author outlines the interactive R programs
that can be used to carry out common tasks related to
creating graphics, such as inputting values, moving
data on a natural spline, adjusting three-dimensional
graphs, and understanding simple and local linear
regression. The book concludes with a chapter on the
various external packages for R that can be used to
create more complex graphics, including rimage, gplots,
ggplot2, tripack, rworldmap, and plotrix packages. The
scope of coverage and fluid presentation of the
material allow the book to serve as a platform for
readers to work creatively and productively with their
own data while also unveiling the illustrative
capabilities of R. The author's explanations are
accompanied by numerous screenshots, graphics, and the
appropriate R code. A related FTP site houses
additional data sets and information on external R
packages.",
acknowledgement = ack-nhfb,
author-dates = "1959--",
subject = "Computer graphics; R (Computer program language);
Microsoft Windows (Computer file); MATHEMATICS /
Probability and Statistics / General.",
tableofcontents = "Front Matter \\
Basic Graphics \\
Graphics for Statistical Analysis \\
Interactive R Programs \\
Graphics Obtained Using Packages Based on R \\
Appendix \\
Index",
}
@Article{Theussl:2012:TPD,
author = "Stefan Theu{\ss}l and Ingo Feinerer and Kurt Hornik",
title = "A {\tt tm} Plug-In for Distributed Text Mining in
{R}",
journal = j-J-STAT-SOFT,
volume = "51",
number = "5",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-03-16; Accepted 2012-11-02",
}
@Article{Turner:2012:BRS,
author = "Robin Turner",
title = "Book Review: {{\booktitle{SAS and R: Data management,
statistical analysis, and graphics}}}",
journal = j-STAT-MED,
volume = "31",
number = "13",
pages = "1405--1406",
day = "15",
month = jun,
year = "2012",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.4489",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:47:57 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "16 May 2012",
}
@Article{Turner:2012:BTM,
author = "Heather Turner and David Firth",
title = "{Bradley--Terry} Models in {R}: The {BradleyTerry2}
Package",
journal = j-J-STAT-SOFT,
volume = "48",
number = "9",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-16; Accepted 2012-04-23",
}
@Article{Unwin:2012:SBRa,
author = "Antony Unwin",
title = "Short Book Review: {{\booktitle{R Graphics}}, Second
Edition, by Paul Murrell}",
journal = j-INT-STAT-REV,
volume = "80",
number = "2",
pages = "330--331",
month = aug,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00187_10.x",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:18 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Aug 2012",
}
@Article{Unwin:2012:SBRb,
author = "Antony Unwin",
title = "Short Book Review: {{\booktitle{An Introduction to
Applied Multivariate Analysis with R}} by Brian Everitt
and Torsten Hothorn}",
journal = j-INT-STAT-REV,
volume = "80",
number = "2",
pages = "331--332",
month = aug,
year = "2012",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/j.1751-5823.2012.00187_11.x",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:18 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Aug 2012",
}
@Article{Valero-Mora:2012:GUI,
author = "Pedro M. Valero-Mora and Ruben Ledesma",
title = "Graphical User Interfaces for {R}",
journal = j-J-STAT-SOFT,
volume = "49",
number = "1",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-06-03; Accepted 2012-06-03",
}
@Article{vanderArk:2012:NDM,
author = "L. Andries van der Ark",
title = "New Developments in {Mokken} Scale Analysis in {R}",
journal = j-J-STAT-SOFT,
volume = "48",
number = "5",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-13; Accepted 2012-01-18",
}
@Article{Verzani:2012:GCI,
author = "John Verzani",
title = "{gWidgetsWWW}: Creating Interactive {Web} Pages within
{R}",
journal = j-J-STAT-SOFT,
volume = "49",
number = "10",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-17; Accepted 2011-05-11",
}
@Article{Visne:2012:SRP,
author = "Ilhami Visne and Ahmet Yildiz and Ekran Dilaveroglu
and Klemens Vierlinger and Christa N{\"o}hammer and
Friedrich Leisch and Albert Kriegner",
title = "{speedR}: An {R} Package for Interactive Data Import,
Filtering and Ready-to-Use Code Generation",
journal = j-J-STAT-SOFT,
volume = "51",
number = "2",
pages = "??--??",
month = oct,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:13 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-12-30; Accepted 2012-09-22",
}
@Article{Walker:2012:MTD,
author = "Steven C. Walker and Guillaume Gu{\'e}nard and
P{\'e}ter S{\'o}lymos and Pierre Legendre",
title = "Multiple-Table Data in {R} with the {\tt multitable}
Package",
journal = j-J-STAT-SOFT,
volume = "51",
number = "8",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-02; Accepted 2012-08-01",
}
@Article{Wallace:2012:CGB,
author = "Byron C. Wallace and Issa J. Dahabreh and Thomas A.
Trikalinos and Joseph Lau and Paul Trow and Christopher
H. Schmid",
title = "Closing the Gap between Methodologists and End-Users:
{R} as a Computational Back-End",
journal = j-J-STAT-SOFT,
volume = "49",
number = "5",
pages = "??--??",
month = jun,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:10 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v49/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2010-11-01; Accepted 2012-12-20",
}
@Article{Wehrens:2012:MSV,
author = "Ron Wehrens and Pietro Franceschi",
title = "Meta-Statistics for Variable Selection: The {R}
Package {BioMark}",
journal = j-J-STAT-SOFT,
volume = "51",
number = "10",
pages = "??--??",
month = nov,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:05 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v51/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-02-17; Accepted 2012-08-10",
}
@Article{Wei:2012:CSP,
author = "Xin Wei",
title = "Code Snippet: {{\%PROC\_R}}: a {SAS} Macro that
Enables Native {R} Programming in the Base {SAS}
Environment",
journal = j-J-STAT-SOFT,
volume = "46",
number = "CS-2",
pages = "??--??",
month = jan,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 28 07:47:54 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v46/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-05-17; Accepted 2011-12-31",
}
@Article{Wickelmaier:2012:PPC,
author = "Florian Wickelmaier and Carolin Strobl and Achim
Zeileis",
title = "{Psychoco}: Psychometric Computing in {R}",
journal = j-J-STAT-SOFT,
volume = "48",
number = "1",
pages = "??--??",
month = may,
year = "2012",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Oct 29 18:54:09 MDT 2012",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v48/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-05-23; Accepted 2012-05-23",
}
@Article{Wilson:2012:SCR,
author = "Jason Wilson",
title = "Statistical computing with {R}: selecting the right
tool for the job --- {R Commander} or something else?",
journal = j-WIRES,
volume = "4",
number = "6",
pages = "518--526",
month = nov # "\slash " # dec,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1228",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:53:02 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "22 August 2012",
}
@Article{Young:2012:OED,
author = "Derek S. Young",
title = "Optimal experimental design with {R}",
journal = j-J-APPL-STAT,
volume = "39",
number = "8",
pages = "1848--1849",
month = aug,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2012.680689",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Sun Nov 4 11:01:39 MST 2012",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "23 Apr 2012",
}
@Article{Yu:2012:BRB,
author = "Jihnhee Yu",
title = "Book Review: {{\booktitle{An Introduction to Applied
Multivariate Analysis With R}} by B. Everitt; T.
Hothorn}",
journal = j-TECHNOMETRICS,
volume = "54",
number = "4",
pages = "445--445",
month = nov,
year = "2012",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.2307/41714937",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Sat Jun 21 13:46:03 MDT 2014",
bibsource = "http://www.jstor.org/journals/00401706.html;
http://www.jstor.org/stable/i40080564;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2010.bib",
URL = "http://www.jstor.org/stable/41714937",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.jstor.org/journals/00401706.html",
}
@Book{Agresti:2013:CDA,
author = "Alan Agresti",
title = "Categorical data analysis",
volume = "792",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Third",
pages = "xvi + 714",
year = "2013",
ISBN = "0-470-46363-5 (hardcover)",
ISBN-13 = "978-0-470-46363-5 (hardcover)",
LCCN = "QA278 .A353 2013",
bibdate = "Thu Jul 10 08:21:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wiley series in probability and statistics",
abstract = "A classic in its own right, this book continues to
provide an introduction to modern generalized linear
models for categorical variables. The text emphasizes
methods that are most commonly used in practical
application, such as classical inferences for two- and
three-way contingency tables, logistic regression,
loglinear models, models for multinomial (nominal and
ordinal) responses, and methods for repeated
measurement and other forms of clustered, correlated
response data. Chapter headings remain essentially with
the exception of a new one on Bayesian inference for
parametric models. Other major changes include an
expansion of clustered data, new research on analysis
of data sets with robust variables, extensive
discussions of ordinal data, more on interpretation,
and additional exercises throughout the book. R and SAS
are now showcased as the software of choice. An author
web site with solutions, commentaries, software
programs, and data sets is available.",
acknowledgement = ack-nhfb,
subject = "Multivariate analysis; MATHEMATICS / Probability and
Statistics / General.",
tableofcontents = "Preface \\
1. Introduction: Distributions and Inference for
Categorical Data 1 \\
1.1 Categorical Response Data, 1 \\
1.2 Distributions for Categorical Data \\
1.3 Statistical Inference for Categorical Data \\
1.4 Statistical Inference for Binomial Parameters \\
1.5 Statistical Inference for Multinomial Parameters
\\
1.6 Bayesian Inference for Binomial and Multinomial
Parameters \\
Notes \\
Exercises \\
2. Describing Contingency Tables \\
2.1 Probability Structure for Contingency Tables \\
2.2 Comparing Two Proportions \\
2.3 Conditional Association in Stratified 2x2 Tables
\\
2.4 Measuring Association in I x J Tables \\
Notes \\
Exercises \\
3. Inference for Two-Way Contingency Tables \\
3.1 Confidence Intervals for Association Parameters \\
3.2 Testing Independence in Two-Way Contingency Tables
\\
3.3 Following-Up Chi-Squared Tests \\
3.4 Two-Way Tables with Ordered Classifications \\
3.5 Small-Sample Inference for Contingency Tables \\
3.6 Bayesian Inference for Two-Way Contingency Tables
\\
3.7 Extensions for Multiway Tables and Nontabulated
Responses \\
Notes \\
Exercises \\
4. Introduction to Generalized Linear Models \\
4.1 The Generalized Linear Model \\
4.2 Generalized Linear Models for Binary Data \\
4.3 Generalized Linear Models for Counts and Rates \\
4.4 Moments and Likelihood for Generalized Linear
Models \\
4.5 Inference and Model Checking for Generalized Linear
Models \\
4.6 Fitting Generalized Linear Models \\
4.7 Quasi-Likelihood and Generalized Linear Models \\
Notes \\
Exercises \\
5. Logistic Regression \\
5.1 Interpreting Parameters in Logistic Regression \\
5.2 Inference for Logistic Regression \\
5.3 Logistic Models with Categorical Predictors \\
5.4 Multiple Logistic Regression \\
5.5 Fitting Logistic Regression Models \\
Notes \\
Exercises \\
6. Building, Checking, and Applying Logistic Regression
Models \\
6.1 Strategies in Model Selection \\
6.2 Logistic Regression Diagnostics \\
6.3 Summarizing the Predictive Power of a Model \\
6.3 Mantel-Haenszel and Related Methods for Multiple
2x2 Tables \\
6.4 Detecting and Dealing with Infinite Estimates \\
6.5 Sample Size and Power Considerations \\
Notes Exercises \\
7. Alternative Modeling of Binary Response Data \\
7.1 Probit and Complementary Log-Log Models \\
7.2 Bayesian Inference for Binary Regression \\
7.3 Conditional Logistic Regression \\
7.4 Smoothing: Kernels, Penalized Likelihood,
Generalized Additive Models \\
7.5 Issues in Analyzing High-Dimensional Categorical
Data \\
Notes \\
Exercises \\
8. Models for Multinomial Responses \\
8.1 Nominal Responses: Baseline-Category Logit Models
\\
8.2 Ordinal Responses: Cumulative Logit Models \\
8.3 Ordinal Responses: Alternative Models \\
8.4 Testing Conditional Independence in I ? J ? K
Tables \\
8.5 Discrete-Choice Models \\
8.6 Bayesian Modeling of Multinomial Responses \\
Notes \\
Exercises \\
9. Loglinear Models for Contingency Tables \\
9.1 Loglinear Models for Two-Way Tables \\
9.2 Loglinear Models for Independence and Interaction
in Three-Way Tables \\
9.3 Inference for Loglinear Models \\
9.4 Loglinear Models for Higher Dimensions \\
9.5 The Loglinear?Logistic Model Connection \\
9.6 Loglinear Model Fitting: Likelihood Equations and
Asymptotic Distributions \\
9.7 Loglinear Model Fitting: Iterative Methods and
their Application \\
Notes \\
Exercises \\
10. Building and Extending Loglinear Models \\
10.1 Conditional Independence Graphs and Collapsibility
\\
10.2 Model Selection and Comparison \\
10.3 Residuals for Detecting Cell-Specific Lack of Fit
\\
10.4 Modeling Ordinal Associations \\
10.5 Generalized Loglinear and Association Models,
Correlation Models, and Correspondence Analysis \\
10.6 Empty Cells and Sparseness in Modeling Contingency
Tables \\
10.7 Bayesian Loglinear Modeling \\
Notes \\
Exercises \\
11. Models for Matched Pairs \\
11.1 Comparing Dependent Proportions \\
11.2 Conditional Logistic Regression for Binary Matched
Pairs \\
11.3 Marginal Models for Square Contingency Tables \\
11.4 Symmetry, Quasi-symmetry, and Quasi-independence
\\
11.5 Measuring Agreement Between Observers \\
11.6 Bradley-Terry Model for Paired Preferences \\
11.7 Marginal Models and Quasi-symmetry Models for
Matched Sets \\
Notes \\
Exercises \\
12. Clustered Categorical Data: Marginal and
Transitional Models \\
12.1 Marginal Modeling: Maximum Likelihood Approach \\
12.2 Marginal Modeling: Generalized Estimating
Equations Approach \\
12.3 Quasi-likelihood and Its GEE Multivariate
Extension: Details \\
12.4 Transitional Models: Markov Chain and Time Series
Models \\
Notes \\
Exercises \\
13. Clustered Categorical Data: Random Effects Models
\\
13.1 Random Effects Modeling of Clustered Categorical
Data \\
13.2 Binary Responses: The Logistic-Normal Model \\
13.3 Examples of Random Effects Models for Binary Data
\\
13.4 Random Effects Models for Multinomial Data \\
13.5 Multilevel Models \\
13.6 GLMM Fitting, Inference, and Prediction \\
13.7 Bayesian Multivariate Categorical Modeling \\
Notes \\
Exercises \\
14. Other Mixture Models for Discrete Data \\
14.1 Latent Class Models \\
14.2 Nonparametric Random Effects Models \\
14.3 Beta-Binomial Models \\
14.4 Negative Binomial Regression \\
14.5 Poisson Regression with Random Effects \\
Notes \\
Exercises \\
15. Non-Model-Based Classification and Clustering \\
15.2 Classification: Linear Discriminant Analysis \\
15.3 Classification: Tree-Structured Prediction \\
15.4 Cluster Analysis for Categorical Data \\
Notes\\
Exercises \\
16. Large- and Small-Sample Theory for Parametric
Models \\
16.1 Delta Method \\
16.2 Asymptotic Distributions of Estimators of Model
Parameters and Cell Probabilities \\
16.3 Asymptotic Distributions of Residuals and
Goodness-of-Fit Statistics \\
16.4 Asymptotic Distributions for Logit/Loglinear
Models \\
16.5 Small-Sample Significance Tests for Contingency
Tables \\
16.6 Small-Sample Confidence Intervals for Categorical
Data \\
16.7 Alternative Estimation Theory for Parametric
Models \\
Notes \\
Exercises \\
17. Historical Tour of Categorical Data Analysis \\
17.1 Pearson-Yule Association Controversy \\
17.2 R. A. Fisher's Contributions \\
17.3 Logistic Regression \\
17.4 Multiway Contingency Tables and Loglinear Models
\\
17.5 Bayesian Methods for Categorical Data \\
17.6 A Look Forward, and Backward \\
Appendix A. Statistical Software for Categorical Data
Analysis \\
Appendix B. Chi-Squared Distribution Values \\
References \\
Author Index \\
Example Index \\
Subject Index",
}
@Article{Alfaro:2013:ARP,
author = "Esteban Alfaro and Matias Gamez and Noelia
Garc{\'\i}a",
title = "{\tt adabag}: An {R} Package for Classification with
Boosting and Bagging",
journal = j-J-STAT-SOFT,
volume = "54",
number = "2",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-26; Accepted 2013-05-29",
}
@Article{Alfons:2013:ESE,
author = "Andreas Alfons and Matthias Templ",
title = "Estimation of Social Exclusion Indicators from Complex
Surveys: The {R} Package {\tt laeken}",
journal = j-J-STAT-SOFT,
volume = "54",
number = "15",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i15",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-10-18; Accepted 2013-04-02",
}
@Book{Anonymous:2013:FPE,
author = "Nathan G. Swenson",
title = "Functional and phylogenetic ecology in {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xii + 212 + 1",
year = "2013",
ISBN = "1-4614-9541-5",
ISBN-13 = "978-1-4614-9541-3",
LCCN = "????",
bibdate = "Sat Feb 14 09:13:13 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1407/2013958447-b.html;
http://www.loc.gov/catdir/enhancements/fy1407/2013958447-d.html;
http://www.loc.gov/catdir/enhancements/fy1407/2013958447-t.html",
abstract = "\booktitle{Functional and Phylogenetic Ecology in R}
is designed to teach readers to use R for phylogenetic
and functional trait analyses. Over the past decade, a
dizzying array of tools and methods were generated to
incorporate phylogenetic and functional information
into traditional ecological analyses. Increasingly
these tools are implemented in R, thus greatly
expanding their impact. Researchers getting started in
R can use this volume as a step-by-step entryway into
phylogenetic and functional analyses for ecology in R.
More advanced users will be able to use this volume as
a quick reference to understand particular analyses.
The volume begins with an introduction to the R
environment and handling relevant data in R. Chapters
then cover phylogenetic and functional metrics of
biodiversity; null modeling and randomizations for
phylogenetic and functional trait analyses; integrating
phylogenetic and functional trait information; and
interfacing the R environment with a popular C-based
program. This book presents a unique approach through
its focus on ecological analyses and not
macroevolutionary analyses. The author provides his own
code, so that the reader is guided through the
computational steps to calculate the desired metrics.
This guided approach simplifies the work of determining
which package to use for any given analysis. Example
datasets are shared to help readers practice, and
readers can then quickly turn to their own datasets.",
acknowledgement = ack-nhfb,
remark = "Preface \\
Introduction \\
Phylogenetic Data in R \\
Phylogenetic Diversity \\
Functional Diversity \\
Phylogenetic Functional Beta Diversity \\
Null Models \\
Comparative Methods Phylogenetic Signal \\
Partitioning the Phylogenetic, Functional,
Environmental and Spatial Components of Community
Diversity \\
Integrating R with Other Phylogenetic and Functional
Trait Analytical Software \\
References",
}
@Article{Anonymous:2013:URA,
author = "Anonymous",
title = "Using the {R} advanced statistical package",
journal = j-LINUX-J,
volume = "2013",
number = "232",
pages = "1:1--1:??",
month = aug,
year = "2013",
CODEN = "LIJOFX",
ISSN = "1075-3583 (print), 1938-3827 (electronic)",
ISSN-L = "1075-3583",
bibdate = "Fri Sep 13 17:44:26 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/linux-journal.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "A look at data analysis with R.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "Linux Journal",
journal-URL = "http://portal.acm.org/citation.cfm?id=J508",
}
@Article{Bakouch:2013:RS,
author = "Hassan S. Bakouch",
title = "{R} for statistics",
journal = j-J-APPL-STAT,
volume = "40",
number = "4",
pages = "924--924",
year = "2013",
DOI = "https://doi.org/10.1080/02664763.2012.761325",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Apr 30 09:56:12 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Barragan:2013:IRP,
author = "Sandra Barrag{\'a}n and Miguel Fern{\'a}ndez and
Cristina Rueda and Shyamal Peddada",
title = "{\tt isocir}: An {R} Package for Constrained Inference
Using Isotonic Regression for Circular Data, with an
Application to Cell Biology",
journal = j-J-STAT-SOFT,
volume = "54",
number = "4",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-04-28; Accepted 2013-01-03",
}
@Article{Bebbington:2013:BRE,
author = "Mark Bebbington",
title = "Book Review: {{\booktitle{Event History Analysis with
R}}}",
journal = j-ANZJS,
volume = "55",
number = "3",
pages = "344--346",
month = sep,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12036",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 16:30:36 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Beeley:2013:BRD,
author = "Chris Beeley",
title = "Behavioural research data analysis with {R}",
journal = j-J-APPL-STAT,
volume = "40",
number = "4",
pages = "922--922",
year = "2013",
DOI = "https://doi.org/10.1080/02664763.2012.750441",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Apr 30 09:56:12 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Brechmann:2013:MDC,
author = "Eike Christian Brechmann and Ulf Schepsmeier",
title = "Modeling Dependence with {C}- and {D-Vine} Copulas:
The {R} Package {CDVine}",
journal = j-J-STAT-SOFT,
volume = "52",
number = "3",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-06-20; Accepted 2012-09-26",
}
@Article{Brouste:2013:PED,
author = "Alexandre Brouste and Stefano M. Iacus",
title = "Parameter estimation for the discretely observed
fractional {Ornstein--Uhlenbeck} process and the
\pkg{Yuima} {R} package",
journal = j-COMP-STAT,
volume = "28",
number = "4",
pages = "1529--1547",
month = aug,
year = "2013",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-012-0365-6",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-012-0365-6",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Cadigan:2013:FNP,
author = "Noel G. Cadigan",
title = "Fitting a non-parametric stock--recruitment model in
{R} that is useful for deriving {MSY} reference points
and accounting for model uncertainty",
journal = j-ICES-J-MAR-SCI,
volume = "70",
number = "1",
pages = "56--67",
month = jan,
year = "2013",
CODEN = "ICESEC",
DOI = "https://doi.org/10.1093/icesjms/fss183",
ISSN = "1054-3139 (print), 1095-9289 (electronic)",
ISSN-L = "1054-3139",
bibdate = "Tue Nov 23 07:31:24 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/icesjmarsci2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/icesjms/article/70/1/56/663017",
acknowledgement = ack-nhfb,
fjournal = "ICES Journal of Marine Science",
journal-URL = "https://academic.oup.com/icesjms",
}
@Article{Carbon:2013:CSB,
author = "Claus-Christian Carbon",
title = "Code Snippet: {BiDimRegression}: Bidimensional
Regression Modeling Using {R}",
journal = j-J-STAT-SOFT,
volume = "52",
number = "CS-1",
pages = "??--??",
month = mar,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/c01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-03-14; Accepted 2013-01-15",
}
@Book{Chen:2013:AMA,
author = "Ding-Geng Chen and Karl E. Peace",
title = "Applied meta-analysis with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxiv + 321",
year = "2013",
ISBN = "1-4665-0599-0 (hardcover)",
ISBN-13 = "978-1-4665-0599-5 (hardcover)",
LCCN = "R853.M48 C44 2013",
bibdate = "Sat Feb 14 09:17:03 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC biostatistics series",
URL = "http://images.tandf.co.uk/common/jackets/websmall/978146650/9781466505995.jpg",
abstract = "In Chapter 8 of our previous book (Chen and Peace,
2010), we briefly introduced meta-analysis using R.
Since then, we have been encouraged to develop an
entire book on meta-analyses using R that would include
a wide variety of applications --- which is the theme
of this book. In this book we provide a thorough
presentation of meta-analysis with detailed
step-by-step illustrations on their implementation
using R. In each chapter, examples of real studies
compiled from the literature and scientific
publications are presented. After presenting the data
and sufficient background to permit understanding the
application, various meta-analysis methods appropriate
for analyzing data are identified. Then analysis code
is developed using appropriate R packages and functions
to meta-analyze the data. Analysis code development and
results are presented in a stepwise fashion. This
stepwise approach should enable readers to follow the
logic and gain an understanding of the analysis methods
and the R implementation so that they may use R and the
steps in this book to analyze their own meta-data.
Based on their experience in biostatistical research
and teaching biostatistical meta-analysis, the authors
understand that there are gaps between developed
statistical methods and applications of statistical
methods by students and practitioners. This book is
intended to ll this gap by illustrating the
implementation of statistical meta-analysis methods
using R applied to real data following a step-by-step
presentation style. With this style, the book is
suitable as a text for a course in meta-data analysis
at the graduate level (Master's or Doctorate's),
particularly for students seeking degrees in statistics
or biostatistics.",
acknowledgement = ack-nhfb,
subject = "Meta-analysis; R (Computer program language);
MATHEMATICS / Probability and Statistics / General.;
MEDICAL / Pharmacology.",
tableofcontents = "1. Introduction to R \\
2. Research protocol for meta-analyses \\
3. Fixed-effects and random-effects in meta-analysis
\\
4. Meta-analysis with binary data \\
5. Meta-analysis for continuous data \\
6. Heterogeneity in meta-analysis \\
Meta-regression \\
8. Individual-patient level data analysis versus
meta-analysis \\
9. Meta-analysis for rare events \\
10. Other R packages for meta-analysis",
}
@Article{Contreras-Reyes:2013:SAA,
author = "Javier E. Contreras-Reyes and Wilfredo Palma",
title = "Statistical analysis of autoregressive fractionally
integrated moving average models in {R}",
journal = j-COMP-STAT,
volume = "28",
number = "5",
pages = "2309--2331",
month = oct,
year = "2013",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-013-0408-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-013-0408-7",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Cotton:2013:LRS,
author = "Richard Cotton",
title = "Learning {R}: [a step-by-step function guide to data
analysis]",
publisher = pub-ORA,
address = pub-ORA:adr,
pages = "xix + 377",
year = "2013",
ISBN = "1-4493-5710-5 (paperback), 1-4493-5718-0,
1-4493-5719-9",
ISBN-13 = "978-1-4493-5710-8 (paperback), 978-1-4493-5718-4,
978-1-4493-5719-1",
LCCN = "QA276.45.R3 C68 2013",
bibdate = "Sun Jul 26 11:11:00 MDT 2015",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "Learn how to perform data analysis with the R language
and software environment, even if you have little or no
programming experience. With the tutorials in this
hands-on guide, you'll learn how to use the essential R
tools you need to know to analyze data, including data
types and programming concepts. The second half of
Learning R shows you real data analysis in action by
covering everything from importing data to publishing
your results. Each chapter in the book includes a quiz
on what you've learned, and concludes with exercises,
most of which involve writing R code. Write a simple R
program, and discover what the language can do. Use
data types such as vectors, arrays, lists, data frames,
and strings. Execute code conditionally or repeatedly
with branches and loops. Apply R add-on packages, and
package your own work for others. Learn how to clean
data you import from a variety of sources. Understand
data through visualization and summary statistics. Use
statistical models to pass quantitative judgments about
data and make predictions. Learn what to do when things
go wrong while writing data analysis code.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Statistics; Data
processing; R (Computer program language); Statistics /
Data processing.",
tableofcontents = "Introduction \\
A scientific calculator \\
Inspecting variables and your workspace \\
Vectors, matrices, and arrays \\
Lists and data frames \\
Environments and functions \\
Strings and factors \\
Flow control and loops \\
Advanced looping \\
Packages \\
Dates and times \\
Getting data \\
Cleaning and transforming \\
Exploring and visualizing \\
Distributions and modeling \\
Programming \\
Making packages",
}
@Article{Davies:2013:CEG,
author = "Tilman M. Davies and David Bryant",
title = "On Circulant Embedding for {Gaussian} Random Fields in
{R}",
journal = j-J-STAT-SOFT,
volume = "55",
number = "9",
pages = "??--??",
month = nov,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v55/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-16; Accepted 2013-04-05",
}
@Article{Delgado:2013:EEE,
author = "Michael S. Delgado and Christopher F. Parmeter",
title = "Embarrassingly easy embarrassingly parallel processing
in {R}",
journal = j-J-APPL-ECONOMETRICS,
volume = "28",
number = "7",
pages = "1224--1230",
month = nov # "--" # dec,
year = "2013",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.2362",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:26:14 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "30 October 2013",
}
@Book{Demidenko:2013:MMT,
author = "Eugene Demidenko",
title = "Mixed models: theory and applications with {R}",
volume = "893",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Second",
pages = "xxvii + 717",
year = "2013",
DOI = "https://doi.org/10.1002/9781118651537",
ISBN = "1-118-09157-4 (hardcover), 1-118-59299-9,
1-118-59301-4, 1-118-59306-5 (e-book), 1-118-65153-7
(e-book)",
ISBN-13 = "978-1-118-09157-9 (hardcover), 978-1-118-59299-1,
978-1-118-59301-1, 978-1-118-59306-6 (e-book),
978-1-118-65153-7 (e-book)",
LCCN = "QA279.D457 2013",
bibdate = "Mon Mar 10 07:25:50 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Wiley series in probability and statistics",
abstract = "Mixed modeling is one of the most promising and
exciting areas of statistical analysis, enabling the
analysis of nontraditional, clustered data that may
come in the form of shapes or images. This book
provides in-depth mathematical coverage of mixed
models' statistical properties and numerical
algorithms, as well as applications such as the
analysis of tumor regrowth, shape, and image. The new
edition includes significant updating, over 300
exercises, stimulating chapter projects and model
simulations, inclusion of R subroutines, and a revised
text format. The target audience continues to be
graduate students and researchers. An author-maintained
web site is available with solutions to exercises and a
compendium of relevant data sets.",
acknowledgement = ack-nhfb,
subject = "Analysis of variance; MATHEMATICS; Probability and
Statistics; General.; MATHEMATICS / Applied;
MATHEMATICS / Probability and Statistics / General;
Analysis of variance.",
tableofcontents = "Preface \\
Preface to the Second Edition \\
R software and functions \\
Data Sets \\
Open Problems in Mixed Models \\
1. Introduction: Why Mixed Models? \\
2. MLE for the LME Model \\
3. Statistical Properties of the LME Model \\
4. Growth Curve Model and Generalizations \\
5. Meta-analysis Model \\
6. Nonlinear Marginal Model \\
7. Generalized Linear Mixed Models \\
8. Nonlinear Mixed Effects Model \\
9. Diagnostics and Influence Analysis \\
10. Tumor Regrowth Curves \\
11. Statistical Analysis of Shape \\
12. Statistical Image Analysis \\
13. Appendix: Useful Facts and Formulas",
}
@Book{Dennis:2013:RSC,
author = "Brian Dennis",
title = "The {R} student companion",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xvii + 339",
year = "2013",
ISBN = "1-4398-7540-5 (paperback)",
ISBN-13 = "978-1-4398-7540-7 (paperback)",
LCCN = "QA276.45.R3 D46 2013",
bibdate = "Thu Jul 10 12:58:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/numana2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://jacketsearch.tandf.co.uk/common/jackets/covers/websmall/978143987/9781439875407.jpg",
abstract = "R is a computer package for scientific graphs and
calculations. It is written and maintained by
statisticians and scientists, for scientists to use in
their work. It is easy to use, yet is extraordinarily
powerful. R is spreading rapidly throughout the science
and technology world, and it is setting the standards
for graphical data displays in science publications. R
is free. It is an open-source product that is easy to
install on most computers. It is available for Windows,
Mac, and Unix/Linux operating systems. One simply
downloads and installs it from the R website (http://
www.r-project.org/). This book is for high school and
college students, and anyone else, who wants to learn
to use R. With this book, you can put your computer to
work in powerful fashion, in any subject that uses
applied mathematics. In particular, physics, life
sciences, chemistry, earth science, economics,
engineering, and business involve much analysis,
modeling, simulation, statistics, and graphing. These
quantitative applications become remarkably
straightforward and understandable when performed with
R. Difficult concepts in mathematics and statistics
become clear when illustrated with R. The book starts
from the beginning and assumes the reader has no
computer programming background. The mathematical
material in the book requires only a moderate amount of
high school algebra. R makes graphing calculators seem
awkward and obsolete. The calculators are hard to
learn, cumbersome to use for anything but tiny
problems, and the graphs are small and have poor
resolution. Calculating in R by comparison is
intuitive, even fun. Fantastic, publication-quality
graphs of data, equations, or both can be produced with
little effort.",
acknowledgement = ack-nhfb,
author-dates = "1952--",
subject = "R (Computer program language); Probabilities;
Mathematical statistics; Data processing; MATHEMATICS /
General.; MATHEMATICS / Probability and Statistics /
General.",
tableofcontents = "1. Introduction: Getting started with R \\
2. R scripts \\
3. Functions \\
4. Basic graphs \\
5. Data input and output \\
6. Loops \\
7. Logic and control \\
8. Quadratic functions \\
9. Trigonometric functions \\
10. Exponential and logarithmic functions \\
11. Matrix arithmetic \\
12. Systems of linear equations \\
13. Advanced graphs \\
14. Probability and simulation \\
15. Fitting models to data \\
16. Conclusion: It doesn't take a rocket scientist \\
Appendix A Installing R \\
Appendix B: Getting help \\
Appendix C: Common R expressions",
}
@Book{Elsner:2013:HCM,
author = "James B. Elsner and Thomas H. Jagger",
title = "Hurricane Climatology: a Modern Statistical Guide
Using {R}",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xiv + 373",
year = "2013",
ISBN = "0-19-982763-X (hardcover)",
ISBN-13 = "978-0-19-982763-3 (hardcover)",
LCCN = "QC944 .E47 2013",
bibdate = "Tue Jan 12 16:10:12 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Hurricanes; Forecasting; Statistical methods; R
(Computer program language)",
tableofcontents = "Cover \\
Contents \\
Preface \\
Part One: Data, Statistics, and Software \\
1. Hurricanes, Climate, and Statistics \\
1.1. Hurricanes \\
1.2. Climate \\
1.3. Statistics \\
1.4. R \\
1.5. Organization \\
2. R Tutorial \\
2.1. Introduction \\
2.2. Data \\
2.3. Tables and Plots \\
3. Classical Statistics \\
3.1. Descriptive Statistics \\
3.2. Probability and Distributions \\
3.3. One-Sample Test \\
3.4. Wilcoxon Signed-Rank Test \\
3.5. Two-Sample Test \\
3.6. Statistical Formula \\
3.7. Two-Sample Wilcoxon Test \\
3.8. Compare Variances \\
3.9. Correlation \\
3.10. Linear Regression \\
3.11. Multiple Linear Regression \\
4. Bayesian Statistics \\
4.1. Learning about the Proportion of Landfalls \\
4.2. Inference \\
4.3. Credible Interval \\
4.4. Predictive Density \\
4.5. Is Bayes{\^a}{\`E}?s Rule Needed? \\
4.6. Bayesian Computation \\
5. Graphs and Maps \\
5.1. Graphs \\
5.2. Time Series \\
5.3. Maps \\
5.4. Coordinate Reference Systems \\
5.5. Export \\
5.6. Other Graphic Packages \\
6. Data Sets \\
6.1. Best-Tracks Data \\
6.2. Annual Aggregation \\
6.3. Coastal County Winds \\
6.4. NetCDF Files \\
Part Two: Models and Methods \\
7. Frequency Models \\
7.1. Counts \\
7.2. Environmental Variables \\
7.3. Bivariate Relationships \\
7.4. Poisson Regression \\
7.5. Model Predictions \\
7.6. Forecast Skill \\
7.7. Nonlinear Regression Structure \\
7.8. Zero-Inflated Count Model \\
7.9. Machine Learning \\
7.10. Logistic Regression \\
8. Intensity Models \\
8.1. Lifetime Highest Intensity \\
8.2. Fastest Hurricane Winds \\
8.3. Categorical Wind Speeds by County \\
9. Spatial Models \\
9.1. Track Hexagons \\
9.2. SST Data \\
9.3. SST and Intensity \\
9.4. Spatial Autocorrelation \\
9.5. Spatial Regression Models \\
9.6. Spatial Interpolation \\
10. Time Series Models \\
10.1. Time Series Overlays \\
10.2. Discrete Time Series \\
10.3. Change Points \\
10.4. Continuous Time Series \\
10.5. Time-Series Network \\
11. Cluster Models \\
11.1. Time Clusters \\
11.2. Spatial Clusters \\
11.3. Feature Clusters \\
12. Bayesian Models \\
12.1. Long-Range Outlook \\
12.2. Seasonal Model \\
12.3. Consensus Model \\
12.4. Space-Time Model \\
13. Impact Models \\
13.1. Extreme Losses \\
13.2. Future Wind Damage \\
Appendix A. R Functions \\
Appendix B. R Packages \\
Appendix C. Data sets \\
Bibliography \\
Index",
}
@Article{Erni:2013:MRP,
author = "Birgit Erni and Bo T. Bonnevie and Hans-Dieter
Oschadleus and Res Altwegg and Les G. Underhill",
title = "{\tt moult}: An {R} Package to Analyze Moult in
Birds",
journal = j-J-STAT-SOFT,
volume = "52",
number = "8",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-05-20; Accepted 2012-10-25",
}
@Article{Gabriel:2013:SRP,
author = "Edith Gabriel and Barry S. Rowlingson and Peter J.
Diggle",
title = "{\tt stpp}: An {R} Package for Plotting, Simulating
and Analyzing Spatio-Temporal Point Patterns",
journal = j-J-STAT-SOFT,
volume = "53",
number = "2",
pages = "??--??",
month = apr,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:09 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-04-29; Accepted 2012-11-30",
}
@Book{Galecki:2013:LME,
author = "Andrzej T. Ga{\l}ecki and Tomasz Burzykowski",
title = "Linear mixed-effects models using {R}: a step-by-step
approach",
publisher = pub-SV,
address = pub-SV:adr,
pages = "542",
year = "2013",
ISBN = "1-4614-3899-3",
ISBN-13 = "978-1-4614-3899-1, 978-1-4614-3900-4 (e-book)",
ISSN = "1431-875X",
LCCN = "QA279 .G35 2013",
bibdate = "Sat Feb 14 09:10:58 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
acknowledgement = ack-nhfb,
subject = "Linear models (Statistics); R (Computer program
language)",
tableofcontents = "Introduction \\
Introduction \\
Case Studies \\
Data Exploration \\
Linear Models for Independent Observations \\
Linear Models with Homogeneous Variance \\
Fitting Linear Models with Homogeneous Variance: The
lm() and gls() Functions \\
ARMD Trial: Linear Model with Homogeneous Variance \\
Linear Models with Heterogeneous Variance \\
Fitting Linear Models with Heterogeneous Variance: The
gls() Function \\
ARMD Trial: Linear Model with Heterogeneous Variance
\\
Linear Fixed-effects Models for Correlated Data \\
Linear Model with Fixed Effects and Correlated Errors
\\
Fitting Linear Models with Fixed Effects and Correlated
Errors: The gls() Function \\
ARMD Trial: Modeling Correlated Errors for Visual
Acuity \\
Linear Mixed-effects Models \\
Linear Mixed-Effects Model \\
Fitting Linear Mixed-Effects Models: The lme()Function
\\
Fitting Linear Mixed-Effects Models: The lmer()
Function \\
ARMD Trial: Modeling Visual Acuity \\
PRT Trial: Modeling Muscle Fiber Specific-Force \\
SII Project: Modeling Gains in Mathematics
Achievement-Scores \\
FCAT Study: Modeling Attainment-Target Scores \\
Extensions of the RTools for Linear Mixed-Effects
Models",
}
@Book{Good:2013:IST,
author = "Phillip I. Good",
title = "Introduction to statistics through resampling methods
and {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Second",
pages = "xii + 210",
year = "2013",
DOI = "https://doi.org/10.1002/9781118497593",
ISBN = "1-118-42821-8 (paperback), 1-118-49756-2 (e-book)",
ISBN-13 = "978-1-118-42821-4 (paperback), 978-1-118-49756-2
(e-book)",
LCCN = "QA278.8 .G63 2013",
bibdate = "Wed Feb 11 07:04:12 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://onlinelibrary.wiley.com/book/10.1002/9781118497593",
abstract = "Intended for class use or self-study, the second
addition of this text aspires like the first to
introduce statistical methodology to a wide audience,
simply and intuitively, through resampling from the
data at hand. The methodology proceeds from chapter to
chapter from the simple to the complex.",
acknowledgement = ack-nhfb,
subject = "Resampling (Statistics); MATHEMATICS / Probability and
Statistics / General.",
tableofcontents = "Frontmatter / i--xii \\
1: Variation / 1--24 \\
2: Probability / 25--41 \\
3: Two Naturally Occurring Probability Distributions /
43--57 \\
4: Estimation and the Normal Distribution / 59--70 \\
5: Testing Hypotheses / 71--90 \\
6: Designing an Experiment or Survey / 91--117 \\
7: Guide to Entering, Editing, Saving, and Retrieving
Large Quantities of Data Using R / 119--124 \\
8: Analyzing Complex Experiments / 125--148 \\
9: Developing Models / 149--179 \\
10: Reporting Your Findings / 181--195 \\
11: Problem Solving / 197--204 \\
Index / 207--210 \\
Summary",
}
@Article{Gromping:2013:BRB,
author = "Ulrike Gr{\"o}mping",
title = "Book Review: {{\booktitle{The R Primer}}}",
journal = j-J-STAT-SOFT,
volume = "52",
number = "BR-3",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/b03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-01-14; Accepted 2013-01-14",
}
@Book{Guay:2013:SSS,
author = "Jean H. Guay",
title = "Statistiques en sciences sociales avec {R}",
publisher = "Presses de l'Universit{\'e} Laval",
address = "Laval, Qu{\'e}bec, Canada",
pages = "xiii + 212",
year = "2013",
ISBN = "2-7637-1773-X",
ISBN-13 = "978-2-7637-1773-9",
LCCN = "QA276.45.R3 G918 2013",
bibdate = "Thu Jul 10 13:10:39 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Collection M{\'e}thodes des sciences humaines",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Social sciences;
Statistical methods; Humanities",
}
@Article{Hand:2013:SBRi,
author = "David J. Hand",
title = "Short Book Review: {{\booktitle{Graphical Models with
R}} by S{\o}ren H{\o}jsgaard, David Edwards, Steffen
Lauritzen}",
journal = j-INT-STAT-REV,
volume = "81",
number = "2",
pages = "316--316",
month = aug,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12020_8",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Aug 2013",
}
@Article{Hand:2013:SBRk,
author = "David J. Hand",
title = "Short Book Review: {{\booktitle{Comparing Groups:
Randomization and Bootstrap Methods Using R}} by Andrew
S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long}",
journal = j-INT-STAT-REV,
volume = "81",
number = "2",
pages = "326--328",
month = aug,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12020_18",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Aug 2013",
}
@Article{Hornik:2013:TPG,
author = "Kurt Hornik and Patrick Mair and Johannes Rauch and
Wilhelm Geiger and Christian Buchta and Ingo Feinerer",
title = "The {\tt textcat} Package for $n$-Gram Based Text
Categorization in {R}",
journal = j-J-STAT-SOFT,
volume = "52",
number = "6",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-07-11; Accepted 2012-10-01",
}
@Book{James:2013:ISL,
author = "Gareth James and Daniela Witten and Trevor Hastie and
Robert Tibshirani",
title = "An introduction to statistical learning: with
applications in {R}",
volume = "103",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 426",
year = "2013",
ISBN = "1-4614-7137-0, 1-4614-7138-9 (e-book)",
ISBN-13 = "978-1-4614-7137-0, 978-1-4614-7138-7 (e-book)",
ISSN = "1431-875X",
LCCN = "QA276 .I585 2013",
bibdate = "Thu Jul 10 13:31:04 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
abstract = "\booktitle{An Introduction to Statistical Learning}
provides an accessible overview of the field of
statistical learning, an essential toolset for making
sense of the vast and complex data sets that have
emerged in fields ranging from biology to finance to
marketing to astrophysics in the past twenty years.
This book presents some of the most important modeling
and prediction techniques, along with relevant
applications. Topics include linear regression,
classification, resampling methods, shrinkage
approaches, tree-based methods, support vector
machines, clustering, and more. Color graphics and
real-world examples are used to illustrate the methods
presented. Since the goal of this textbook is to
facilitate the use of these statistical learning
techniques by practitioners in science, industry, and
other fields, each chapter contains a tutorial on
implementing the analyses and methods presented in R,
an extremely popular open source statistical software
platform.Two of the authors co-wrote The Elements of
Statistical Learning (Hastie, Tibshirani and Friedman,
2nd edition 2009), a popular reference book for
statistics and machine learning researchers.
\booktitle{An Introduction to Statistical Learning}
covers many of the same topics, but at a level
accessible to a much broader audience. This book is
targeted at statisticians and non-statisticians alike
who wish to use cutting-edge statistical learning
techniques to analyze their data. The text assumes only
a previous course in linear regression and no knowledge
of matrix algebra. Provides tools for Statistical
Learning that are essential for practitioners in
science, industry and other fields. Analyses and
methods are presented in R. Topics include linear
regression, classification, resampling methods,
shrinkage approaches, tree-based methods, support
vector machines, and clustering. Extensive use of color
graphics assist the reader.",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Mathematical models;
Problems, exercises, etc; R (Computer program
language); Statistics",
tableofcontents = "Introduction \\
Statistical learning \\
Linear regression \\
Classification \\
Resampling methods \\
Linear model selection and regularization \\
Moving beyond linearity \\
Tree-based methods \\
Support vector machines \\
Unsupervised learning",
}
@Article{Jones:2013:BRJ,
author = "Geoff Jones",
title = "Book Review: {{\booktitle{Joint Models for
Longitudinal and Time-to-Event Data: with Applications
in R}}}",
journal = j-ANZJS,
volume = "55",
number = "2",
pages = "198--199",
month = jun,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12020",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 16:30:35 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Kauppinen:2013:SBR,
author = "Joonas Kauppinen",
title = "Short Book Review: {{\booktitle{The R Student
Companion}} by Brian Dennis}",
journal = j-INT-STAT-REV,
volume = "81",
number = "2",
pages = "309--309",
month = aug,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12020_3",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Aug 2013",
}
@Article{Kovalchik:2013:FAB,
author = "Stephanie Kovalchik and Ravi Varadhan",
title = "Fitting Additive Binomial Regression Models with the
{R} Package {\tt blm}",
journal = j-J-STAT-SOFT,
volume = "54",
number = "1",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-11-22; Accepted 2013-05-30",
}
@Article{Kuhnt:2013:SOM,
author = "Sonja Kuhnt and Nikolaus Rudak",
title = "Simultaneous Optimization of Multiple Responses with
the {R} Package {JOP}",
journal = j-J-STAT-SOFT,
volume = "54",
number = "9",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-12-07; Accepted 2013-03-01",
}
@Book{Kutz:2013:DDM,
author = "Jose Nathan Kutz",
title = "Data-driven modeling and scientific computation:
methods for complex systems and big data",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xvii + 638",
year = "2013",
ISBN = "0-19-966033-6 (hardcover), 0-19-966034-4 (paperback)",
ISBN-13 = "978-0-19-966033-9 (hardcover), 978-0-19-966034-6
(paperback)",
LCCN = "Q183.9 .K88 2013",
bibdate = "Tue Jan 12 16:17:35 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "The burgeoning field of data analysis is expanding at
an incredible pace due to the proliferation of data
collection in almost every area of science. The
enormous data sets now routinely encountered in the
sciences provide an incentive to develop mathematical
techniques and computational algorithms that help
synthesize, interpret and give meaning to the data in
the context of its scientific setting. A specific aim
of this book is to integrate standard scientific
computing methods with data analysis. By doing so, it
brings together, in a self-consistent fashion, the key
ideas from: statistics, \ldots{}",
acknowledgement = ack-nhfb,
subject = "MATLAB; Science; Data processing; Numerical analysis;
Differential equations",
tableofcontents = "Prolegomenon \\
How to Use This Book \\
About MATLAB \\
PART I: Basic Computations and Visualization \\
1 MATLAB Introduction \\
1.1 Vectors and Matrices \\
1.2 Logic, Loops and Iterations \\
1.3 Iteration: The Newton-Raphson Method \\
1.4 Function Calls, Input/Output Interactions and
Debugging \\
1.5 Plotting and Importing/Exporting Data \\
2 Linear Systems \\
2.1 Direct Solution Methods for $ A x = b $ \\
2.2 Iterative Solution Methods for $ A x = b $ \\
2.3 Gradient (Steepest) Descent for $ A x = b $ \\
2.4 Eigenvalues, Eigenvectors and Solvability \\
2.5 Eigenvalues and Eigenvectors for Face Recognition.
2.6 Nonlinear Systems \\
3 Curve Fitting \\
3.1 Least-Square Fitting Methods \\
3.2 Polynomial Fits and Splines \\
3.3 Data Fitting with MATLAB \\
4 Numerical Differentiation and Integration \\
4.1 Numerical Differentiation \\
4.2 Numerical Integration \\
4.3 Implementation of Differentiation and Integration
\\
5 Basic Optimization \\
5.1 Unconstrained Optimization (Derivative-Free
Methods) \\
5.2 Unconstrained Optimization (Derivative Methods) \\
5.3 Linear Programming \\
5.4 Simplex Method \\
5.5 Genetic Algorithms \\
6 Visualization \\
6.1 Customizing Plots and Basic 2D Plotting \\
6.2 More 2D and 3D Plotting. 6.3 Movies and Animations
\\
PART II: Differential and Partial Differential
Equations \\
7 Initial and Boundary Value Problems of Differential
Equations \\
7.1 Initial Value Problems: Euler, Runge-Kutta and
Adams Methods \\
7.2 Error Analysis for Time-Stepping Routines \\
7.3 Advanced Time-Stepping Algorithms \\
7.4 Boundary Value Problems: The Shooting Method \\
7.5 Implementation of Shooting and Convergence Studies
\\
7.6 Boundary Value Problems: Direct Solve and
Relaxation \\
7.7 Implementing MATLAB for Boundary Value Problems \\
7.8 Linear Operators and Computing Spectra \\
8 Finite Difference Methods. 8.1 Finite Difference
Discretization \\
8.2 Advanced Iterative Solution Methods for $ A x = b $
\\
8.3 Fast Poisson Solvers: The Fourier Transform \\
8.4 Comparison of Solution Techniques for $ A x = b $:
Rules of Thumb \\
8.5 Overcoming Computational Difficulties \\
9 Time and Space Stepping Schemes: Method of Lines \\
9.1 Basic Time-Stepping Schemes \\
9.2 Time-Stepping Schemes: Explicit and Implicit
Methods \\
9.3 Stability Analysis \\
9.4 Comparison of Time-Stepping Schemes \\
9.5 Operator Splitting Techniques \\
9.6 Optimizing Computational Performance: Rules of
Thumb \\
10 Spectral Methods \\
10.1 Fast Fourier Transforms and Cosine/Sine Transform
\\
10.2 Chebychev Polynomials and Transform \\
10.3 Spectral Method Implementation \\
10.4 Pseudo-Spectral Techniques with Filtering \\
10.5 Boundary Conditions and the Chebychev Transform
\\
10.6 Implementing the Chebychev Transform \\
10.7 Computing Spectra: The Floquet-Fourier-Hill Method
\\
11 Finite Element Methods \\
11.1 Finite Element Basis \\
11.2 Discretizing with Finite Elements and Boundaries
\\
11.3 MATLAB for Partial Differential Equations \\
11.4 MATLAB Partial Differential Equations Toolbox \\
PART III: Computational Methods for Data Analysis. 12
Statistical Methods and Their Applications",
}
@Article{Lee:2013:CRP,
author = "Duncan Lee",
title = "{CARBayes}: An {R} Package for {Bayesian} Spatial
Modeling with Conditional Autoregressive Priors",
journal = j-J-STAT-SOFT,
volume = "55",
number = "13",
pages = "??--??",
month = nov,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v55/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-09-24; Accepted 2013-05-07",
}
@Article{Leifeld:2013:TCS,
author = "Philip Leifeld",
title = "{\tt texreg}: Conversion of Statistical Model Output
in {R} to {\LaTeX} and {HTML} Tables",
journal = j-J-STAT-SOFT,
volume = "55",
number = "8",
pages = "??--??",
month = nov,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/texbook3.bib",
URL = "http://www.jstatsoft.org/v55/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-10-16; Accepted 2013-04-04",
}
@Article{Lopez-de-Ullibarri:2013:SRP,
author = "Ignacio L{\'o}pez-de-Ullibarri and M. Amalia
J{\'a}come",
title = "{{\tt survPresmooth}}: An {R} Package for Presmoothed
Estimation in Survival Analysis",
journal = j-J-STAT-SOFT,
volume = "54",
number = "11",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-03-21; Accepted 2013-03-13",
}
@Article{Ludlam:2013:BEN,
author = "John Ludlam",
title = "{{\booktitle{R by Example: Numerical Solutions to
Differential Equations}} (Soetaert, K., et al; 2012)}
[Book Review]",
journal = j-COMPUT-SCI-ENG,
volume = "15",
number = "2",
pages = "6--7",
month = mar # "\slash " # apr,
year = "2013",
CODEN = "CSENFA",
DOI = "https://doi.org/10.1109/MCSE.2013.34",
ISSN = "1521-9615 (print), 1558-366X (electronic)",
ISSN-L = "1521-9615",
bibdate = "Fri Jun 21 08:35:36 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computscieng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Computing in Science and Engineering",
journal-URL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5992",
}
@Book{Luhmann:2013:REEa,
author = "Maike Luhmann",
title = "{R f{\"u}r Einsteiger: Einf{\"u}hrung in die
Statistiksoftware f{\"u}r die Sozialwissenschaften}",
publisher = "Beltz",
address = "Weinheim, Germany",
edition = "Third",
pages = "320",
year = "2013",
ISBN = "3-621-28090-1",
ISBN-13 = "978-3-621-28090-7",
LCCN = "????",
bibdate = "Sun Jul 26 11:34:25 MDT 2015",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://d-nb.info/1034153447/04",
acknowledgement = ack-nhfb,
language = "German",
remark = "Literaturangaben. - Zus{\"a}tzliches Online-Angebot
unter www.beltz.de/r-fuer-einsteiger.",
subject = "Statistik; R",
tableofcontents = "Vorwort zur dritten Auflage / ii \\
1 Einleitung / 13 \\
1.1 Warum R? / 13 \\
1.2 F{\"u}r wen ist dieses Buch? / 14 \\
1.3 Wie benutzt man dieses Buch? / 14 \\
1.4 Weiterentwicklungen und Aktualit{\"a}t des Buchs /
15 \\
1.5 Verwendete Schriftarten / 15 \\
2 Installation / 16 \\
2.1 Download / 16 \\
2.2 Installation / 16 \\
2.3 Zus{\"a}tzliche Pakete / 18 \\
2.4 Funktionen im {\"U}berblick / 23 \\
3 Ein erster {\"U}berblick / 24 \\
3.1 Aufbau der Basisversion / 24 \\
3.2 Zus{\"a}tzliche Benutzeroberfl{\"a}chen / 26 \\
3.3 Hilfe zu R / 30 \\
4 Einf{\"u}hrung in die Programmiersprache / 34 \\
4.1 Eingabe und Ausf{\"u}hren von Befehlen / 34 \\
4.2 R als Taschenrechner / 36 \\
4.3 Logische Abfragen / 37 \\
4.4 Funktionen / 38 \\
4.5 Kommentare / 40 \\
4.6 {\"U}bungen / 40 \\
5 Objekte / 41 \\
5.1 Neue Objekte anlegen / 41 \\
5.2 Objekttypen / 43 \\
5.3 Der Workspace / 48 \\
5.4 Dateien speichern und {\"o}ffnen / 49 \\
5.5 Funktionen im {\"U}berblick / 56 \\
5.6 {\"U}bungen / 57 \\
6 Dateneingabe und -management / 58 \\
6.1 Der R Dateneditor / 58 \\
6.2 Daten importieren / 62 \\
6.3 Daten zusammenf{\"u}gen / 68 \\
6.4 Datenspeichern / 71 \\
6.5 Daten aus R exportieren / 71 \\
6.6 Datenmanagement im R Commander / 73 \\
6.7 Funktionen im {\"U}berblick / 75 \\
6.8 {\"U}bungen / 76 \\
7 Variablen bearbeiten / 77 \\
7.1 Variablen ausw{\"a}hlen / 77 \\
7.2 Objekteigenschaften ver{\"a}ndern / 83 \\
7.3 Neue Variablen erstellen / 86 \\
7.4 Variablen bearbeiten im R Commander / 94 \\
7.5 Funktionen im {\"U}berblick / 94 \\
7.6 {\"U}bungen / 95 \\
8 F{\"a}lle sortieren und ausw{\"a}hlen / 97 \\
8.1 F{\"a}lle sortieren / 97 \\
8.2 Untergruppen ausw{\"a}hlen / 99 \\
8.3 Personen mit fehlenden Werten entfernen / 101 \\
8.4 F{\"a}lle ausw{\"a}hlen im R Commander / 102 \\
8.5 Funktionen im {\"U}berblick / 103 \\
8.6 {\"U}bungen / 103 \\
9 Univariate deskriptive Statistiken / 104 \\
9.1 H{\"a}ufigkeitstabellen / 104 \\
9.2 Beschreibung von Nominaldaten / 109 \\
9.3 Beschreibung von Ordinaldaten / 112 \\
9.4 Beschreibung von Intervalldaten / 116 \\
9.5 Die summary-Funktion / 119 \\
9.6 Gruppenvergleiche / 120 \\
9.7 Univariate deskriptive Statistiken im R Commander /
123 \\
9.8 Statistische Funktionen im {\"U}berblick / 124 \\
9.9 Weitere Funktionen / 125 \\
9.10 {\"U}bungen / 125 \\
10 Bivariate deskriptive Statistiken / 127 \\
10.1 Kontingenztabellen / 127 \\
10.2 Zusammenhangsma{\ss}e f{\"u}r metrische Variablen
/ 131 \\
10.3 Zusammenhangsma{\ss}e f{\"u}r nicht-metrische
Variablen / 137 \\
10.4 Bivariate deskriptive Statistiken im R Commander /
138 \\
10.5 Funktionen im {\"U}berblick / 139 \\
10.6 {\"U}bungen / 140 \\
11 Graphiken / 141 \\
11.1 Diagramme f{\"u}r kategoriale Variablen / 141 \\
11.2 Diagramme f{\"u}r metrische Variablen / 145 \\
11.3 Streudiagramm / 163 \\
11.4 Die plot-Funktion / 166 \\
11.5 Graphiken bearbeiten / 167 \\
11.6 Graphiken speichern / 173 \\
11.7 Graphiken f{\"u}r Fortgeschrittene / 174 \\
11.8 Graphiken im R Commander / 174 \\
11.9 Graphik-Funktionen im {\"U}berblick / 174 \\
11.10 Zus{\"a}tzliche Argumente f{\"u}r
Graphik-Funktionen / 176 \\
11.11 {\"U}bungen / 177 \\
12 Grundlagen der Inferenzstatistik in R / 178 \\
12.1 Verteilungen / 178 \\
12.2 Stichprobenumfangsplanung / 183 \\
12.3 Weitere Poweranalysen / 188 \\
12.4 Funktionen im {\"U}berblick / 188 \\
12.5 {\"U}bungen / 189 \\
13 Mittelwertsvergleiche mit Mests / 190 \\
13.1 f-Test f{\"u}r eine Stichprobe / 190 \\
13.2 f-Test f{\"u}r unabh{\"a}ngige Stichproben / 195
\\
13.3 f-Test f{\"u}r abh{\"a}ngige Stichproben / 201 \\
13.4 f-Tests im R Commander / 204 \\
13.5 Funktionen im {\"U}berblick / 205 \\
13.6 {\"U}bungen / 205 \\
14 Varianzanalyse ohne Aesswiederholung / 207 \\
14.1 Einfaktorielle Varianzanalyse ohne
Messwiederholung / 207 \\
14.2 Mehrfaktorielle Varianzanalyse ohne
Messwiederholung / 211 \\
14.3 Multiple Paarvergleiche mit Post-hoc-Verfahren /
216 \\
14.4 Kontraste / 218 \\
14.5 Effektgr{\"o}{\ss}en / 219 \\
14.6 Varianzanalyse ohne Messwiederholung im R
Commander / 221 \\
14.7 Funktionen im {\"U}berblick / 221 \\
14.8 {\"U}bungen / 223 \\
15 Varianzanalyse mit Messwiederholung / 224 \\
15.1 Vorbereitung der Daten / 224 \\
15.2 Einfaktorielle Varianzanalyse mit Messwiederholung
/ 226 \\
15.3 Mehrfaktorielle gemischte Varianzanalyse / 231 \\
15.4 Effektgr{\"o}{\ss}en / 234 \\
15.5 Varianzanalyse mit Messwiederholung im R Commander
/ 235 \\
15.6 Funktionen im {\"U}berblick / 235 \\
15.7 {\"U}bungen / 235 \\
16 Grundlagen der Regressionsanalyse / 236 \\
16.1 Bivariate lineare Regression / 236 \\
16.2 Multiple Regression und multiple Korrelation / 241
\\
16.3 Effektgr{\"o}{\ss}en / 248 \\
16.4 Modellannahmen pr{\"u}fen / 248 \\
16.5 Partial- und Semipartialkorrelation / 253 \\
16.6 Regressionsanalyse im R Commander / 255 \\
16.7 Funktionen im {\"U}berblick / 256 \\
16.8 {\"U}bungen / 257 \\
17 Spezielle Regressionsmodelle / 258 \\
17.1 Kategoriale Pr{\"a}diktoren / 258 \\
17.2 Moderierte Regression / 260 \\
17.3 Nicht-lineare Regression / 265 \\
17.4 Kovarianzanalyse / 267 \\
17.5 Logistische Regression / 270 \\
17.6 Spezielle Regressionsmodelle im R Commander / 275
\\
17.7 Funktionen im {\"U}berblick / 275 \\
17.8 {\"U}bungen / 276 \\
18 Nonparametrische Verfahren / 277 \\
18.1 Der chi2-Test / 277 \\
18.2 Der Wilcoxon-Test / 280 \\
18.3 Der Kruskal-Wallis-Test / 283 \\
18.4 Nonparametrische Verfahren im R Commander / 285
\\
18.5 Funktionen im {\"U}berblick / 285 \\
18.6 {\"U}bungen / 286 \\
19 Verfahren f{\"u}r die Testkonstruktion / 287 \\
19.1 Itemanalyse und interne Konsistenz / 287 \\
19.2 Exploratorische Faktorenanalyse / 289 \\
19.3 Hauptkomponentenanalyse / 297 \\
19.4 Verfahren f{\"u}r die Testkonstruktion im R
Commander / 298 \\
19.5 Funktionen im {\"U}berblick / 298 \\
19.6 {\"U}bungen / 298 \\
20 Crash-Kurs f{\"u}r SPSS-Umsteiger / 300 \\
20.1 Grundlegende Unterschiede zwischen R und SPSS /
300 \\
20.2 Arbeiten mit dem R Commander / 301 \\
20.3 Zentrale Funktionen in R und SPSS / 302 \\
Anhang A: Datens{\"a}tze / 303 \\
Anhang B: Pakete / 306 \\
Hinweise zu den Online-Materialien / 307 \\
Literatur / 308 \\
Sachwortverzeichnis / 311",
}
@Article{Maller:2013:BRC,
author = "Ross Maller",
title = "Book Review: {{\booktitle{Competing Risks and
Multistate Models with R}}}",
journal = j-ANZJS,
volume = "55",
number = "1",
pages = "57--60",
month = mar,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12010",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 16:30:34 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Matloff:2013:BRB,
author = "Norman S. Matloff",
title = "Book Review: {{\booktitle{The R Student Companion}}}",
journal = j-J-STAT-SOFT,
volume = "52",
number = "BR-4",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/b04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-02-03; Accepted 2013-02-03",
}
@Article{McLachlan:2013:ERP,
author = "Geoff McLachlan and Sharon X. Lee",
title = "{EMMIXuskew}: An {R} Package for Fitting Mixtures of
Multivariate Skew $t$ Distributions via the {EM}
Algorithm",
journal = j-J-STAT-SOFT,
volume = "55",
number = "12",
pages = "??--??",
month = nov,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v55/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-02-03; Accepted 2013-11-15",
}
@Article{Meulders:2013:RPP,
author = "Michel Meulders",
title = "An {R} Package for Probabilistic Latent Feature
Analysis of Two-Way Two-Mode Frequencies",
journal = j-J-STAT-SOFT,
volume = "54",
number = "14",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-12-19; Accepted 2013-03-29",
}
@Article{Miecznikowski:2013:DRP,
author = "Jeffrey Miecznikowski and Albert Vexler and Lori
Shepherd",
title = "{{\tt dbEmpLikeGOF}}: An {R} Package for Nonparametric
Likelihood Ratio Tests for Goodness-of-Fit and
Two-Sample Comparisons Based on Sample Entropy",
journal = j-J-STAT-SOFT,
volume = "54",
number = "3",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-03-02; Accepted 2013-07-26",
}
@Article{Mullner:2013:FFH,
author = "Daniel M{\"u}llner",
title = "{\tt fastcluster}: Fast Hierarchical, Agglomerative
Clustering Routines for {R} and {Python}",
journal = j-J-STAT-SOFT,
volume = "53",
number = "9",
pages = "??--??",
month = may,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:54 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-10-01; Accepted 2012-12-05",
}
@Article{Mwitondi:2013:DMR,
author = "Kassim S. Mwitondi",
title = "Data mining with {Rattle} and {R}",
journal = j-J-APPL-STAT,
volume = "40",
number = "2",
pages = "464--464",
year = "2013",
DOI = "https://doi.org/10.1080/02664763.2012.749050",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Apr 30 09:56:09 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Mwitondi:2013:SCC,
author = "Kassim S. Mwitondi",
title = "Statistical computing in {C++} and {R}",
journal = j-J-APPL-STAT,
volume = "40",
number = "4",
pages = "916--916",
year = "2013",
DOI = "https://doi.org/10.1080/02664763.2012.749033",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Apr 30 09:56:12 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Nadarajah:2013:CRP,
author = "Saralees Nadarajah and Bozidar V. Popovi{\'c} and
Miroslav M. Risti{\'c}",
title = "\pkg{Compounding}: an {R} package for computing
continuous distributions obtained by compounding a
continuous and a discrete distribution",
journal = j-COMP-STAT,
volume = "28",
number = "3",
pages = "977--992",
month = jun,
year = "2013",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-012-0336-y",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-012-0336-y",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Nadarajah:2013:NRP,
author = "S. Nadarajah and S. A. A. Bakar",
title = "A new {R} package for actuarial survival models",
journal = j-COMP-STAT,
volume = "28",
number = "5",
pages = "2139--2160",
month = oct,
year = "2013",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-013-0400-2",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-013-0400-2",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Nummi:2013:SBRa,
author = "Tapio Nummi",
title = "Short Book Review: {{\booktitle{Clinical Trial Data
Analysis Using R}} by Ding-Geng (Din) Chen, Karl E.
Peace}",
journal = j-INT-STAT-REV,
volume = "81",
number = "1",
pages = "151--151",
month = apr,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12011_1",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 11:35:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Apr 2013",
}
@Article{OBrien:2013:SBRa,
author = "Carl M. O'Brien",
title = "Short Book Review: {{\booktitle{An Introduction to
Bootstrap Methods with Applications to R}} by Michael
R. Chernick, Robert A. LaBudde}",
journal = j-INT-STAT-REV,
volume = "81",
number = "1",
pages = "157--158",
month = apr,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12011_8",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 11:35:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Apr 2013",
}
@Article{Ooms:2013:RPE,
author = "Jeroen Ooms",
title = "The {RAppArmor} Package: Enforcing Security Policies
in {R} Using Dynamic Sandboxing on {Linux}",
journal = j-J-STAT-SOFT,
volume = "55",
number = "7",
pages = "??--??",
month = nov,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/linux.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/unix.bib",
URL = "http://www.jstatsoft.org/v55/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-08-03; Accepted 2013-04-10",
}
@Book{Pewsey:2013:CSR,
author = "Arthur Pewsey and Markus Neuh{\"a}user and Graeme D.
Ruxton",
title = "Circular statistics in {R}",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xiv + 183",
year = "2013",
ISBN = "0-19-967113-3",
ISBN-13 = "978-0-19-967113-7",
LCCN = "QA276 .P45 2013",
bibdate = "Wed Feb 11 06:55:02 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1410/2013940576-b.html;
http://www.loc.gov/catdir/enhancements/fy1410/2013940576-d.html;
http://www.loc.gov/catdir/enhancements/fy1410/2013940576-t.html",
abstract = "\booktitle{Circular Statistics in R} provides the most
comprehensive guide to the analysis of circular data in
over a decade. Circular data arise in many scientific
contexts, both from angular observations, and from
daily or seasonal activity patterns. . The natural way
of representing such data graphically is as points
located around the circumference of a circle, hence
their name. Importantly, circular variables are
periodic in nature, and the origin, or zero point, such
as the beginning of a new year, is defined arbitrarily
rather than necessarily emerging naturally from the
system. This book will be of value both to those new to
circular data analysis as well as those more familiar
with the field. For beginners, the authors start by
considering the fundamental graphical and numerical
summaries used to represent circular data before
introducing distributions that might be used to model
them. When discussing model fitting, the authors
advocate reduced reliance on the classical von Mises
distribution, showcasing distributions that are capable
of modelling features such as asymmetry and varying
levels of kurtosis that are often exhibited by circular
data. The use of likelihood-based and
computer-intensive approaches to inference and
modelling are stressed throughout the book. The R
programming language is used to implement the
methodology. Also provided are over 150 new functions
for techniques not already covered in R.",
acknowledgement = ack-nhfb,
subject = "Circular data; Mathematical statistics; R (Computer
program language)",
tableofcontents = "Introduction \\
Graphical representation of circular data \\
Circular summary statistics \\
Distribution theory and models for circular random
variables \\
Basic inference for a single sample \\
Model fitting for a single sample \\
Comparing two or more samples of circular data \\
Correlation and regression",
}
@Book{Pfaff:2013:FRM,
author = "Bernhard Pfaff",
title = "Financial risk modelling and portfolio optimization
with {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xvi + 356",
year = "2013",
DOI = "https://doi.org/10.1002/9781118477144",
ISBN = "0-470-97870-8 (hardcover), 1-118-47713-8 (e-book),
1-118-47712-X (ebook)",
ISBN-13 = "978-0-470-97870-2 (hardcover), 978-1-118-47713-7
(e-book), 978-1-118-47712-0 (ebook)",
LCCN = "HG106 .P484 2013eb",
bibdate = "Fri Jul 25 07:01:32 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Statistics in practice",
URL = "http://librarytitles.ebrary.com/Doc?id=10777209;
http://rbdigital.oneclickdigital.com",
abstract = "The latest techniques advocated for measuring
financial market risk and portfolio optimization, and
provides a plethora of R code examples that enable the
reader to replicate the results featured throughout the
book. Financial Risk Modelling and Portfolio
Optimization with R: -Demonstrates techniques in
modelling financial risks and applying portfolio
optimization techniques as well as recent advances in
the field.-Introduces stylized facts, loss function and
risk measures, conditional and unconditional modelling
of risk; extreme value theory, generalized hyperbolic
distribution, volatility modelling and concepts for
capturing dependencies.-Explores portfolio risk
concepts and optimization with risk
constraints.-Enables the reader to replicate the
results in the book using R code.-Is accompanied by a
supporting website featuring examples and case studies
in R. Graduate and postgraduate students in finance,
economics, risk management as well as practitioners in
finance and portfolio optimization will find this book
beneficial. It also serves well as an accompanying text
in computer-lab classes and is therefore suitable for
self-study.",
acknowledgement = ack-nhfb,
subject = "Financial risk; Mathematical models; Portfolio
management; R (Computer program language); MATHEMATICS;
Probability and Statistics; General.",
tableofcontents = "Preface / xi \\
List of abbreviations / xiii \\
Part I: Motivation / 1 \\
1 Introduction / 3 \\
2 A brief course in R / 6 \\
2.1 Origin and development / 6 \\
2.2 Getting help / 7 \\
2.3 Working with R / 10 \\
2.4 Classes, methods and functions / 12 \\
2.5 The accompanying package FRAPO / 20 \\
References / 25 \\
3 Financial market data / 26 \\
3.1 Stylized facts on financial market returns / 26 \\
3.1.1 Stylized facts for univariate series / 26 \\
3.1.2 Stylized facts for multivariate series / 29 \\
3.2 Implications for risk models / 32 \\
References / 33 \\
4 Measuring risks / 34 \\
4.1 Introduction / 34 \\
4.2 Synopsis of risk measures / 34 \\
4.3 Portfolio risk concepts / 39 \\
References / 41 \\
5 Modern portfolio theory / 43 \\
5.1 Introduction / 43 \\
5.2 Markowitz portfolios / 43 \\
5.3 Empirical mean-variance portfolios / 47 \\
References / 49 \\
Part II RISK MODELLING / 51 \\
6 Suitable distributions for returns / 53 \\
6.1 Preliminaries / 53 \\
6.2 The generalized hyperbolic distribution / 53 \\
6.3 The generalized lambda distribution / 56 \\
6.4 Synopsis of R packages for the GHD / 62 \\
6.4.1 The package fBasics / 62 \\
6.4.2 The package GeneralizedHyperbolic / 63 \\
6.4.3 The package ghyp / 64 \\
6.4.4 The package QRM / 65 \\
6.4.5 The package SkewHyperbolic / 66 \\
6.4.6 The package VarianceGamma / 67 \\
6.5 Synopsis of R packages for GLD / 67 \\
6.5.1 The package Davies / 67 \\
6.5.2 The package fBasics / 67 \\
6.5.3 The package gld / 68 \\
6.5.4 The package lmomco / 69 \\
6.6 Applications of the GHD to risk modelling / 69 \\
6.6.1 Fitting stock returns to the GHD / 69 \\
6.6.2 Risk assessment with the GHD / 73 \\
6.6.3 Stylized facts revisited / 75 \\
6.7 Applications of the GLD to risk modelling and data
analysis / 78 \\
6.7.1 VaR for a single stock / 78 \\
6.7.2 Shape triangle for FTSE 100 constituents / 79 \\
References / 82 \\
7 Extreme value theory / 84 \\
7.1 Preliminaries / 84 \\
7.2 Extreme value methods and models / 85 \\
7.2.1 The block maxima approach / 85 \\
7.2.2 rth largest order models / 86 \\
7.2.3 The peaks-over-threshold approach / 87 \\
7.3 Synopsis of R packages / 89 \\
7.3.1 The package evd / 89 \\
7.3.2 The package evdbayes / 90 \\
7.3.3 The package evir / 91 \\
7.3.4 The package fExtremes / 93 \\
7.3.5 The packages ismev and extRemes / 95 \\
7.3.6 The package POT / 96 \\
7.3.7 The package QRM / 97 \\
7.3.8 The package Renext / 97 \\
7.4 Empirical applications of EVT / 98 \\
7.4.1 Section outline / 98 \\
7.4.2 Block maxima model for Siemens / 99 \\
7.4.3 r block maxima model for BMW / 101 \\
7.4.4 POT method for Boeing / 105 \\
References / 110 \\
8 Modelling volatility / 112 \\
8.1 Preliminaries / 112 \\
8.2 The class of ARCH models / 112 \\
8.3 Synopsis of R packages / 116 \\
8.3.1 The package bayesGARCH / 116 \\
8.3.2 The package ccgarch / 117 \\
8.3.3 The package fGarch / 118 \\
8.3.4 The package gogarch / 118 \\
8.3.5 The packages rugarch and rmgarch / 120 \\
8.3.6 The package tseries / 122 \\
8.4 Empirical application of volatility models / 123
\\
References / 125 \\
9 Modelling dependence / 127 \\
9.1 Overview / 127 \\
9.2 Correlation, dependence and distributions / 127 \\
9.3 Copulae / 130 \\
9.3.1 Motivation / 130 \\
9.3.2 Correlations and dependence revisited / 131 \\
9.3.3 Classification of copulae / 133 \\
9.4 Synopsis of R packages / 136 \\
9.4.1 The package BLCOP / 136 \\
9.4.2 The packages copula and nacopula / 138 \\
9.4.3 The package fCopulae / 140 \\
9.4.4 The package gumbel / 141 \\
9.4.5 The package QRM / 142 \\
9.5 Empirical applications of copulae / 142 \\
9.5.1 GARCH-copula model / 142 \\
9.5.2 Mixed copula approaches / 149 \\
References / 151 \\
Part III PORTFOLIO OPTIMIZATION APPROACHES / 153 \\
10 Robust portfolio optimization / 155 \\
10.1 Overview / 155 \\
10.2 Robust statistics / 156 \\
10.2.1 Motivation / 156 \\
10.2.2 Selected robust estimators / 157 \\
10.3 Robust optimization / 160 \\
10.3.1 Motivation / 160 \\
10.3.2 Uncertainty sets and problem formulation / 160
\\
10.4 Synopsis of R packages / 166 \\
10.4.1 The package covRobust / 166 \\
10.4.2 The package fPortfolio / 166 \\
10.4.3 The package MASS / 167 \\
10.4.4 The package robustbase / 168 \\
10.4.5 The package robust / 168 \\
10.4.6 The package rrcov / 169 \\
10.4.7 The package Rsocp / 170 \\
10.5 Empirical applications / 171 \\
10.5.1 Portfolio simulation: Robust versus classical
statistics / 171 \\
10.5.2 Portfolio back-test: Robust versus classical
statistics / 177 \\
10.5.3 Portfolio back-test: Robust optimization / 182
\\
References / 187 \\
11 Diversification reconsidered / 189 \\
11.1 Introduction / 189 \\
11.2 Most diversified portfolio / 190 \\
11.3 Risk contribution constrained portfolios / 192 \\
11.4 Optimal tail-dependent portfolios / 195 \\
11.5 Synopsis of R packages / 197 \\
11.5.1 The packages DEoptim and RcppDE / 197 \\
11.5.2 The package FRAPO / 199 \\
11.5.3 The package PortfolioAnalytics / 201 \\
11.6 Empirical applications / 201 \\
11.6.1 Comparison of approaches / 201 \\
11.6.2 Optimal tail-dependent portfolio against
benchmark / 206 \\
11.6.3 Limiting contributions to expected shortfall /
211 \\
References / 215 \\
12 Risk-optimal portfolios / 217 \\
12.1 Overview / 217 \\
12.2 Mean-VaR portfolios / 218 \\
12.3 Optimal CVaR portfolios / 223 \\
12.4 Optimal draw-down portfolios / 227 \\
12.5 Synopsis of R packages / 229 \\
12.5.1 The package fPortfolio / 229 \\
12.5.2 The package FRAPO / 230 \\
12.5.3 Packages for linear programming / 232 \\
12.5.4 The package PerformanceAnalytics / 236 \\
12.6 Empirical applications / 238 \\
12.6.1 Minimum-CVaR versus minimum-variance portfolios
/ 238 \\
12.6.2 Draw-down constrained portfolios / 242 \\
12.6.3 Back-test comparison for stock portfolio / 247
\\
References / 253 \\
13 Tactical asset allocation / 255 \\
13.1 Overview / 255 \\
13.2 Survey of selected time series models / 256 \\
13.2.1 Univariate time series models / 256 \\
13.2.2 Multivariate time series models / 262 \\
13.3 Black-Litterman approach / 270 \\
13.4 Copula opinion and entropy pooling / 273 \\
13.4.1 Introduction / 273 \\
13.4.2 The COP model / 273 \\
13.4.3 The EP model / 274 \\
13.5 Synopsis of R packages / 276 \\
13.5.1 The package BLCOP / 276 \\
13.5.2 The package dse / 278 \\
13.5.3 The package fArma / 281 \\
13.5.4 The package forecast / 281 \\
13.5.5 The package MSBVAR / 283 \\
13.5.6 The package PairTrading / 284 \\
13.5.7 The packages urca and vars / 285 \\
13.6 Empirical applications / 288 \\
13.6.1 Black-Litterman portfolio optimization / 288 \\
13.6.2 Copula opinion pooling / 295 \\
13.6.3 Protection strategies / 299 \\
References / 310 \\
Appendix A Package overview / 314 \\
A.1 Packages in alphabetical order / 314 \\
A.2 Packages ordered by topic / 317 \\
References / 320 \\
Appendix B Time series data / 324 \\
B.1 Date-time classes / 324 \\
B.2 The ts class in the base package stats / 327 \\
B.3 Irregular-spaced time series / 328 \\
B.4 The package timeSeries / 330 \\
B.5 The package zoo / 332 \\
B.6 The packages tframe and xts / 334 \\
References / 337 \\
Appendix C Back-testing and reporting of portfolio
strategies / 338 \\
C.1 R packages for back-testing / 338 \\
C.2 R facilities for reporting / 339 \\
C.3 Interfacing databases / 339 \\
References / 340 \\
Appendix D Technicalities / 342 \\
Index / 343",
}
@Article{Pilhofer:2013:NAV,
author = "Alexander Pilh{\"o}fer and Antony Unwin",
title = "New Approaches in Visualization of Categorical Data:
{R} Package {\tt extracat}",
journal = j-J-STAT-SOFT,
volume = "53",
number = "7",
pages = "??--??",
month = may,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:54 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-22; Accepted 2013-05-19",
}
@Article{Polasek:2013:SBRc,
author = "Wolfgang Polasek",
title = "Short Book Review: {{\booktitle{Time Series Analysis
and Its Applications: With R Examples}}, Third Edition
by Robert H. Shumway, David S. Stoffer}",
journal = j-INT-STAT-REV,
volume = "81",
number = "2",
pages = "323--325",
month = aug,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12020_15",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 11:42:41 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Aug 2013",
}
@Article{Robert:2013:BRB,
author = "Christian Robert",
title = "Book Review: {{\booktitle{R For Dummies}}}",
journal = j-CHANCE,
volume = "26",
number = "4",
pages = "61--61",
year = "2013",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2013.868762",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Tue Feb 3 09:42:06 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance: a magazine for people interested in the
analysis of data",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
}
@Article{Runnalls:2013:CER,
author = "Andrew Runnalls",
title = "{CXXR}: an extensible {R} interpreter",
journal = j-WIRES,
volume = "5",
number = "3",
pages = "181--189",
month = may # "\slash " # jun,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1251",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:53:03 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "28 February 2013",
}
@Book{Schutt:2013:DDS,
author = "Rachel Schutt and Cathy O'Neil",
title = "Doing Data Science",
publisher = pub-ORA,
address = pub-ORA:adr,
pages = "xxiv + 375",
year = "2013",
ISBN = "1-4493-5865-9 (paperback)",
ISBN-13 = "978-1-4493-5865-5 (paperback), 978-1-4493-5863-1
(e-book)",
LCCN = "QA76.9.D343 S27 2013",
bibdate = "Wed Oct 14 07:37:03 MDT 2015",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
author-dates = "1976--",
remark = "October 2013: first edition ; 2013-10-08: first
release. Subtitle on cover: Straight talk from the
frontline.",
subject = "Data mining; Big data; Information science; Data
structures (Computer science); Database management;
Cyberinfrastructure; Big data.; Cyberinfrastructure.;
Data mining.; Data structures (Computer science);
Database management.; Information science.",
tableofcontents = "Big Data and Data Science Hype \\
Getting Past the Hype \\
Why Now? \\
Datafication \\
The Current Landscape (with a Little History) \\
Data Science Jobs \\
A Data Science Profile \\
Thought Experiment: Meta-Definition \\
OK, So What Is a Data Scientist, Really? \\
In Academia \\
In Industry \\
Statistical Thinking in the Age of Big Data \\
Statistical Inference \\
Populations and Samples \\
Populations and Samples of Big Data \\
Big Data Can Mean Big Assumptions \\
Modeling \\
Exploratory Data Analysis \\
Philosophy of Exploratory Data Analysis \\
Exercise: EDA \\
The Data Science Process \\
A Data Scientist's Role in This Process \\
Thought Experiment: How Would You Simulate Chaos? \\
Case Study: RealDirect \\
How Does RealDirect Make Money? \\
Exercise: RealDirect Data Strategy \\
Machine Learning Algorithms \\
Three Basic Algorithms \\
Linear Regression \\
k-Nearest Neighbors (k-NN) \\
k-means \\
Exercise: Basic Machine Learning Algorithms --Contents
note continued: Solutions \\
Summing It All Up \\
Thought Experiment: Automated Statistician \\
Thought Experiment: Learning by Example \\
Why Won't Linear Regression Work for Filtering Spam?
\\
How About k-nearest Neighbors? \\
Naive Bayes \\
Bayes Law \\
A Spam Filter for Individual Words \\
A Spam Filter That Combines Words: Naive Bayes \\
Fancy It Up: Laplace Smoothing \\
Comparing Naive Bayes to k-NN \\
Sample Code in bash \\
Scraping the Web: APIs and Other Tools \\
Jake's Exercise: Naive Bayes for Article Classification
\\
Sample R Code for Dealing with the NYT API \\
Thought Experiments \\
Classifiers \\
Runtime \\
You \\
Interpretability \\
Scalability \\
M6D Logistic Regression Case Study \\
Click Models \\
The Underlying Math \\
Estimating [alpha] and [beta] \\
Newton's Method \\
Stochastic Gradient Descent \\
Implementation 124, \\
Evaluation \\
Media 6 Degrees Exercise \\
Sample R Code \\
Kyle Teague and GetGlue \\
Timestamps --Contents note continued: Exploratory Data
Analysis (EDA) \\
Metrics and New Variables or Features \\
What's Next? \\
Cathy O'Neil \\
Thought Experiment \\
Financial Modeling \\
In-Sample, Out-of-Sample, and Causality \\
Preparing Financial Data \\
Log Returns \\
Example: The S and P Index \\
Working out a Volatility Measurement \\
Exponential Downweighting \\
The Financial Modeling Feedback Loop \\
Why Regression? \\
Adding Priors \\
A Baby Model \\
Exercise: GetGlue and Timestamped Event Data \\
Exercise: Financial Data \\
William Cukierski \\
Background: Data Science Competitions \\
Background: Crowdsourcing \\
The Kaggle Model \\
A Single Contestant \\
Their Customers \\
Thought Experiment: What Are the Ethical Implications
of a Robo-Grader? \\
Feature Selection \\
Example: User Retention \\
Filters \\
Wrappers \\
Embedded Methods: Decision Trees \\
Entropy \\
The Decision Tree Algorithm \\
Handling Continuous Variables in Decision Trees \\
Random Forests --Contents note continued: User
Retention: Interpretability Versus Predictive Power \\
David Huffaker: Google's Hybrid Approach to Social
Research \\
Moving from Descriptive to Predictive \\
Social at Google \\
Privacy \\
Thought Experiment: What Is the Best Way to Decrease
Concern and Increase Understanding and Control? \\
A Real-World Recommendation Engine \\
Nearest Neighbor Algorithm Review \\
Some Problems with Nearest Neighbors \\
Beyond Nearest Neighbor: Machine Learning
Classification \\
The Dimensionality Problem \\
Singular Value Decomposition (SVD) \\
Important Properties of SVD \\
Principal Component Analysis (PCA) \\
Alternating Least Squares \\
Fix V and Update U \\
Last Thoughts on These Algorithms \\
Thought Experiment: Filter Bubbles \\
Exercise: Build Your Own Recommendation System \\
Sample Code in Python \\
Data Visualization History \\
Gabriel Tarde \\
Mark's Thought Experiment \\
What Is Data Science, Redux? \\
Processing \\
Franco Moretti --Contents note continued: A Sample of
Data Visualization Projects \\
Mark's Data Visualization Projects \\
New York Times Lobby: Moveable Type \\
Project Cascade: Lives on a Screen \\
Cronkite Plaza \\
eBay Transactions and Books \\
Public Theater Shakespeare Machine \\
Goals of These Exhibits \\
Data Science and Risk \\
About Square \\
The Risk Challenge \\
The Trouble with Performance Estimation \\
Model Building Tips \\
Data Visualization at Square \\
Ian's Thought Experiment \\
Data Visualization for the Rest of Us \\
Data Visualization Exercise \\
Social Network Analysis at Morning Analytics \\
Case-Attribute Data versus Social Network Data \\
Social Network Analysis \\
Terminology from Social Networks \\
Centrality Measures \\
The Industry of Centrality Measures \\
Thought Experiment \\
Morningside Analytics \\
How Visualizations Help Us Find Schools of Fish \\
More Background on Social Network Analysis from a
Statistical Point of View --Contents note continued:
Representations of Networks and Eigenvalue Centrality
\\
A First Example of Random Graphs: The
Erd{\H{o}}s--Renyi Model \\
A Second Example of Random Graphs: The Exponential
Random Graph Model \\
Data Journalism \\
A Bit of History on Data Journalism \\
Writing Technical Journalism: Advice from an Expert \\
Correlation Doesn't Imply Causation \\
Asking Causal Questions \\
Confounders: A Dating Example \\
OK Cupid's Attempt \\
The Gold Standard: Randomized Clinical Trials \\
A/B Tests \\
Second Best: Observational Studies \\
Simpson's Paradox \\
The Rubin Causal Model \\
Visualizing Causality \\
Definition: The Causal Effect \\
Three Pieces of Advice \\
Madigan's Background \\
Thought Experiment \\
Modern Academic Statistics \\
Medical Literature and Observational Studies \\
Stratification Does Not Solve the Confounder Problem
\\
What Do People Do About Confounding Things in Practice?
\\
Is There a Better Way? --Contents note continued:
Research Experiment (Observational Medical Outcomes
Partnership) \\
Closing Thought Experiment \\
Claudia's Data Scientist Profile \\
The Life of a Chief Data Scientist \\
On Being a Female Data Scientist \\
Data Mining Competitions \\
How to Be a Good Modeler \\
Data Leakage \\
Market Predictions \\
Amazon Case Study: Big Spenders \\
A Jewelry Sampling Problem \\
IBM Customer Targeting \\
Breast Cancer Detection \\
Pneumonia Prediction \\
How to Avoid Leakage \\
Evaluating Models \\
Accuracy: Meh \\
Probabilities Matter, Not 0s and 1s \\
Choosing an Algorithm \\
A Final Example \\
Parting Thoughts \\
About David Crawshaw \\
Thought Experiment \\
MapReduce \\
Word Frequency Problem \\
Enter MapReduce \\
Other Examples of MapReduce \\
What Can't MapReduce Do? \\
Pregel \\
About Josh Wills \\
Thought Experiment \\
On Being a Data Scientist \\
Data Abundance Versus Data Scarcity \\
Designing Models \\
Economic Interlude: Hadoop --Contents note continued: A
Brief Introduction to Hadoop \\
Cloudera \\
Back to Josh: Workflow \\
So How to Get Started with Hadoop? \\
Process Thinking \\
Naive No Longer \\
Helping Hands \\
Your Mileage May Vary \\
Bridging Tunnels \\
Some of Our Work \\
What Just Happened? \\
What Is Data Science (Again)? \\
What Are Next-Gen Data Scientists? \\
Being Problem Solvers \\
Cultivating Soft Skills \\
Being Question Askers \\
Being an Ethical Data Scientist \\
Career Advice",
}
@Article{Scott:2013:SBRa,
author = "David Scott",
title = "Short Book Review: {{\booktitle{Statistical Computing
in C++ and R}} by Randall L. Eubank, Ana Kupresanin}",
journal = j-INT-STAT-REV,
volume = "81",
number = "1",
pages = "159--160",
month = apr,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12011_11",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 11:35:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Apr 2013",
}
@Article{Scott:2013:SBRc,
author = "David Scott",
title = "Short Book Review: {{\booktitle{Customer and Business
Analytics: Applied Data Mining for Business Decision
Making Using R}} by Daniel S. Putler, Robert E.
Krider}",
journal = j-INT-STAT-REV,
volume = "81",
number = "2",
pages = "328--328",
month = aug,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12020_19",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:19 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "28 Aug 2013",
}
@Article{Scrucca:2013:GPG,
author = "Luca Scrucca",
title = "{GA}: a Package for Genetic Algorithms in {R}",
journal = j-J-STAT-SOFT,
volume = "53",
number = "4",
pages = "??--??",
month = apr,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:09 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-11-29; Accepted 2012-11-16",
}
@Article{Shotwell:2013:PRP,
author = "Matthew S. Shotwell",
title = "{\tt profdpm}: An {R} Package for {MAP} Estimation in
a Class of Conjugate Product Partition Models",
journal = j-J-STAT-SOFT,
volume = "53",
number = "8",
pages = "??--??",
month = may,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:54 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-07-20; Accepted 2012-12-27",
}
@Article{Slaets:2013:WFD,
author = "Leen Slaets and Gerda Claeskens and Bernard W.
Silverman",
title = "Warping Functional Data in {R} and {C} via a
{Bayesian} Multiresolution Approach",
journal = j-J-STAT-SOFT,
volume = "55",
number = "3",
pages = "??--??",
month = oct,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v55/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-08-31; Accepted 2013-01-02",
}
@Article{Spedicato:2013:LPP,
author = "Giorgio Alfredo Spedicato",
title = "The {\tt lifecontingencies} Package: Performing
Financial and Actuarial Mathematics Calculations in
{R}",
journal = j-J-STAT-SOFT,
volume = "55",
number = "10",
pages = "??--??",
month = nov,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:58 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v55/i10",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-04-10; Accepted 2013-04-05",
}
@Article{Taylor:2013:LRP,
author = "Benjamin M. Taylor and Tilman M. Davies and Barry S.
Rowlingson and Peter J. Diggle",
title = "{\tt lgcp}: An {R} Package for Inference with Spatial
and Spatio-Temporal Log-Gaussian {Cox} Processes",
journal = j-J-STAT-SOFT,
volume = "52",
number = "4",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-30; Accepted 2012-09-26",
}
@Book{Tsay:2013:IAF,
author = "Ruey S. Tsay",
title = "An introduction to analysis of financial data with
{R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xiv + 390",
year = "2013",
ISBN = "0-470-89081-9 (hardcover)",
ISBN-13 = "978-0-470-89081-3 (hardcover)",
LCCN = "HG106 .T76 2013",
bibdate = "Thu Jul 10 13:20:05 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "\booktitle{An Introduction to Analysis of Financial
Data with R} explores basic concepts of visualization
of financial data. Through a fundamental balance
between theory and applications, the book supplies
readers with an accessible approach to financial
econometric models and their applications to real-world
empirical research. The author supplies a hands-on
introduction to the analysis of financial data using
the freely available R software package and case
studies to illustrate actual implementations of the
discussed methods. The book begins with the basics of
financial data, discussing their summary statistics and
related visualization methods. Subsequent chapters
explore basic time series analysis and simple
econometric models for business, finance, and economics
as well as related topics including: Linear time series
analysis, with coverage of exponential smoothing for
forecasting and methods for model comparison; Different
approaches to calculating asset volatility and various
volatility models; High-frequency financial data and
simple models for price changes, trading intensity, and
realized volatility; Quantitative methods for risk
management, including value at risk and conditional
value at risk; Econometric and statistical methods for
risk assessment based on extreme value theory and
quantile regression. Throughout the book, the visual
nature of the topic is showcased through graphical
representations in R, and two detailed case studies
demonstrate the relevance of statistics in finance. A
related website features additional data sets and R
scripts so readers can create their own simulations and
test their comprehension of the presented techniques",
acknowledgement = ack-nhfb,
author-dates = "1951--",
subject = "Finance; Econometric models; Time-series analysis;
Econometrics; R (Computer program language)",
tableofcontents = "1. Financial Data and Their Properties / 1 \\
1.1 Asset Returns / 2 \\
1.2 Bond Yields and Prices / 7 \\
1.3 Implied Volatility / 10 \\
1.4 R Packages and Demonstrations / 11 \\
1.5 Examples of Financial Data / 17 \\
1.6 Distributional Properties of Returns / 20 \\
1.7 Visualization of Financial Data / 27 \\
1.8 Some Statistical Distributions / 32 \\
2. Linear Models for Financial Times Series / 39 \\
2.1 Stationarity / 40 \\
2.2 Autocorrelation / 43 \\
2.3 Linear time series / 49 \\
2.4 Simple AR models / 51 \\
2.5 Simple MA models / 69 \\
2.6 Simple ARMA Models / 78 \\
2.7 Unit-Root Nonstationarity / 86 \\
2.8 Exponential Smoothing / 94 \\
2.9 Seasonal Models / 97 \\
2.10 Regression with Correlated Errors / 108 \\
2.11 Long-Memory Models / 115 \\
2.12 Model Comparison and Averaging / 118 \\
3. Case Studies of Linear Time Series / 127 \\
3.1 Weekly Regular Gasoline Price / 128 \\
3.2 Global Temperature Anomalies / 139 \\
3.3 U.S. Monthly Unemployment Rates / 156 \\
4. Value at Risk 325 Volatility models / 175 \\
4.1 Characteristics of Volatility / 176 \\
4.2 Structure of a Model / 177 \\
4.3 Model Building / 180 \\
4.4 Testing for ARCH Effect / 180 \\
4.5 The ARCH Model / 184 \\
4.6 The GARTH Model / 197 \\
4.7 The Integrated GARCH Model / 209 \\
4.8 The GARCH-M Model / 211 \\
4.9 The Exponential GARCH Model / 213 \\
4.10 The Threshold GARCH Model / 219 \\
4.11 Asymmetric Power ARCH Models / 221 \\
4.12 An Non-symmetric GARCH Model / 224 \\
4.13 The Stochastic Volatility Model / 226 \\
4.14 Long-Memory Stochastic Volatility Models / 227 \\
4.15 Alternative Approaches / 229 \\
5. Applications of Volatility Models / 241 \\
5.1 GARCH Volatility Terms Structure / 242 \\
5.2 Option Pricing and Hedging / 245 \\
5.3 Time-varying Correlations and Betas / 248 \\
5.4 Minimum Variance Portfolios / 256 \\
5.5 Prediction / 260 \\
6. High-Frequency Financial Data / 271 \\
6.1 Nonsynchronous Trading / 272 \\
6.2 Bid Ask Spread of Trading Prices / 275 \\
6.3 Empirical Characteristics of Trading Data / 278 \\
6.4 Models for Price Changes / 285 \\
6.5 Duration Models / 296 \\
6.5 Realized Volatility / 305 \\
7. Value at Risk\\
7.1 Risk Measure and Coherence / 326 \\
7.2 Remarks on Calculating Risk Measures / 334 \\
7.3 Risk Metrics / 335 \\
7.4 An Econometric Approach / 342 \\
7.5 Quantile Estimation / 349 \\
7.6 Extreme Value Theory / 354 \\
7.7 An Extreme Value Approach to VaR / 364 \\
7.8 Peaks Over Thresholds / 369 \\
7.9 The Stationary Loss Processes / 378 \\
Index",
}
@Article{Unwin:2013:SBRa,
author = "Antony Unwin",
title = "Short Book Review: {{\booktitle{R for Statistics}} by
Pierre-Andr{\'e} Cornillon, Arnaud Guyader,
Fran{\c{c}}ois Husson, Nicolas J{\'e}gou, Julie Josse,
Maela Kloareg, Eric Matzner-L{\o}ber, Laurent
Rouvi{\`e}re}",
journal = j-INT-STAT-REV,
volume = "81",
number = "1",
pages = "168--169",
month = apr,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12011_20",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 11:35:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Apr 2013",
}
@Article{Unwin:2013:SBRb,
author = "Antony Unwin",
title = "Short Book Review: {{\booktitle{Discovering Statistics
Using R}} by Andy Field, Jeremy Miles, Zo{\"e} Field}",
journal = j-INT-STAT-REV,
volume = "81",
number = "1",
pages = "169--170",
month = apr,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12011_21",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 11:35:31 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "1 Apr 2013",
}
@Article{VanAelst:2013:FRB,
author = "Stefan {Van Aelst} and Gert Willems",
title = "Fast and Robust Bootstrap for Multivariate Inference:
The {R} Package {FRB}",
journal = j-J-STAT-SOFT,
volume = "53",
number = "3",
pages = "??--??",
month = apr,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:09 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2009-09-21; Accepted 2012-11-13",
}
@Article{Varmaz:2013:RAW,
author = "Armin Varmaz and Christian Fieberg and Andreas
Varwig",
title = "{{\tt RMatlab-app2web}}: {Web} Deployment of {R\slash
MATLAB} Applications",
journal = j-J-STAT-SOFT,
volume = "54",
number = "5",
pages = "??--??",
month = sep,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:56 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v54/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-06-06; Accepted 2013-01-03",
}
@Article{Vehkalahti:2013:SBRb,
author = "Kimmo Vehkalahti",
title = "Short Book Review: {{\booktitle{Statistics in
Psychology Using R and SPSS}} by Dieter Rasch, Klaus
Kubinger, Takuya Yanagida}",
journal = j-INT-STAT-REV,
volume = "81",
number = "3",
pages = "459--460",
month = dec,
year = "2013",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12042_1",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue Jun 17 18:23:20 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review = Revue
Internationale de Statistique",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "24 Nov 2013",
}
@Article{Wang:2013:CRP,
author = "Zhu Wang",
title = "{\tt cts}: An {R} Package for Continuous Time
Autoregressive Models via {Kalman} Filter",
journal = j-J-STAT-SOFT,
volume = "53",
number = "5",
pages = "??--??",
month = apr,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:09 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-23; Accepted 2012-11-16",
}
@Book{Wunschiers:2013:CBP,
author = "R{\"o}bbe W{\"u}nschiers",
title = "Computational biology: a practical introduction to
biodata processing and analysis with {Linux}, {MySQL},
and {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xxix + 449",
year = "2013",
DOI = "https://doi.org/10.1007/978-3-642-34749-8",
ISBN = "3-642-34748-7, 3-642-34749-5 (e-book)",
ISBN-13 = "978-3-642-34748-1, 978-3-642-34749-8 (e-book)",
LCCN = "QH324.2 .W86 2013",
bibdate = "Thu Jul 10 08:57:23 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/linux.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sqlbooks.bib;
https://www.math.utah.edu/pub/tex/bib/unix.bib",
abstract = "This greatly expanded 2nd edition provides a practical
introduction to --- data processing with Linux tools
and the programming languages AWK and Perl --- data
management with the relational database system MySQL,
and --- data analysis and visualization with the
statistical computing environment R for students and
practitioners in the life sciences. Although written
for beginners, experienced researchers in areas
involving bioinformatics and computational biology may
benefit from numerous tips and tricks that help to
process, filter and format large datasets. Learning by
doing is the basic concept of this book. Worked
examples illustrate how to employ data processing and
analysis techniques, e.g. for --- finding proteins
potentially causing pathogenicity in bacteria, ---
supporting the significance of BLAST with homology
modeling, or --- detecting candidate proteins that may
be redox-regulated, on the basis of their structure.
All the software tools and datasets used are freely
available. One section is devoted to explaining setup
and maintenance of Linux as an operating system
independent virtual machine. The author's experiences
and knowledge gained from working and teaching in both
academia and industry constitute the foundation for
this practical approach.",
acknowledgement = ack-nhfb,
subject = "Computational biology; Bioinformatics; Automatic Data
Processing; Bioinformatics.; Computational biology.",
tableofcontents = "Whetting Your Appetite \\
Introduction \\
Content of This Book \\
Computer and Operating Systems \\
Unix/Linux \\
Working with Linux \\
The First Touch \\
Working with Files \\
Remote Connections \\
Playing with Text and Data Files \\
Using the Shell \\
Installing BLAST and ClustalW \\
Shell Programming \\
Regular Expressions \\
Sed \\
Programming \\
AWK \\
Perl \\
Other Programming Languages \\
Advanced Data Analysis \\
Relational Databases with MySQL \\
The Statistics Suite R \\
Worked Examples \\
Genomic Analysis of the Pathogenicity Factors from E.
coli Strain O157:H7 and EHEC Strain O104:H4 \\
Limits of BLAST and Homology Modeling \\
Virtual Sequencing of pUC18c \\
Querying for Potential Redox-Regulated Enzymes",
}
@Article{Xie:2013:ARP,
author = "Yihui Xie",
title = "{\tt animation}: An {R} Package for Creating
Animations and Demonstrating Statistical Methods",
journal = j-J-STAT-SOFT,
volume = "53",
number = "1",
pages = "??--??",
month = apr,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:09 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v53/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-02-12; Accepted 2012-07-02",
}
@Book{Xie:2013:DDR,
author = "Yihui Xie",
title = "Dynamic documents with {R} and {{\tt knitr}}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xxv + 190",
year = "2013",
ISBN = "1-4822-0353-7 (paperback)",
ISBN-13 = "978-1-4822-0353-0 (paperback)",
LCCN = "QA276.4 .X54 2014",
bibdate = "Fri Apr 25 07:05:47 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
URL = "http://images.tandf.co.uk/common/jackets/websmall/978148220/9781482203530.jpg",
abstract = "Suitable for both beginners and advanced users, this
book shows you how to write reports in simple languages
such as Markdown. The reports range from homework,
projects, exams, books, blogs, and web pages to any
documents related to statistical graphics, computing,
and data analysis. While familiarity with LaTeX and
HTML is helpful, the book requires no prior experience
with advanced programs or languages. For beginners, the
text provides enough features to get started on basic
applications. For power users, the last several
chapters enable an understanding of the extensibility
of the knitr package. \par
We import a dataset into a statistical software
package, run a procedure to get all results, then copy
and paste selected pieces into a typesetting program,
add a few descriptions and finish a report. This is a
common practice of writing statistical reports. There
are obvious dangers and disadvantages in this process:
1. it is error-prone due to too much manual work; 2. it
requires lots of human efforts to do tedious jobs such
as copying results across documents; 3. the workflow is
barely recordable especially when it involves GUI
(Graphical User Interface) operations, therefore it is
difficult to reproduce; 4. a tiny change of the data
source in the future will require the author(s) to go
through the same procedure again, which can take nearly
the same amount of time and effort; 5. the analysis and
writing are separate, so close attention has to be paid
to the synchronization of the two parts; In fact, a
report can be generated dynamically from program code.
Just like a software package has its source code, a
dynamic document is the source code of a report. It is
a combination of computer code and the corresponding
narratives. When we compile the dynamic document, the
program code in it is executed and replaced with the
output; we get a final report by mixing the code output
with the narratives. Because we only manage the source
code, we are free of all the possible problems above.
For example, we can change a single parameter in the
source code, and get a different report on the fly.",
acknowledgement = ack-nhfb,
book-review = "http://tug.org/books/reviews/tb109reviews-xie.html",
subject = "Statistics; Data processing; Technical reports;
Corporation reports; Mathematical statistics; Computer
programs; Technical writing; R (Computer program
language); Knitr; MATHEMATICS / Probability and
Statistics / General.",
}
@Article{Yang:2013:RPS,
author = "Dan Yang and Dylan S. Small",
title = "An {R} package and a study of methods for computing
empirical likelihood",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "83",
number = "7",
pages = "1363--1372",
year = "2013",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2012.660487",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Tue Apr 22 09:13:11 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Article{Zhu:2013:ERP,
author = "Weicheng Zhu and Changsoon Park",
title = "{\tt edcc}: An {R} Package for the Economic Design of
the Control Chart",
journal = j-J-STAT-SOFT,
volume = "52",
number = "9",
pages = "??--??",
month = feb,
year = "2013",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Apr 30 10:32:07 MDT 2013",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v52/i09",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-04-01; Accepted 2012-10-29",
}
@Article{Adragni:2014:PRS,
author = "Kofi Placid Adragni and Andrew M. Raim",
title = "\pkg{ldr}: An {R} Software Package for
Likelihood-Based Sufficient Dimension Reduction",
journal = j-J-STAT-SOFT,
volume = "61",
number = "3",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i03",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-11-13; Accepted 2014-06-09",
}
@Book{Armstrong:2014:ASM,
author = "David A. {Armstrong II}",
title = "Analyzing spatial models of choice and judgment with
{R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xx + 336",
year = "2014",
ISBN = "1-4665-1715-8 (hardcover)",
ISBN-13 = "978-1-4665-1715-8 (hardcover)",
LCCN = "QA278.2 .A76 2014",
bibdate = "Wed Feb 11 10:49:10 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC statistics in the social and
behavioral sciences series",
URL = "http://www.crcnetbase.com/doi/book/10.1201/b16486",
abstract = "With recent advances in computing power and the
widespread availability of political choice data, such
as legislative roll call and public opinion survey
data, the empirical estimation of spatial models has
never been easier or more popular. \booktitle{Analyzing
Spatial Models of Choice and Judgment with R}
demonstrates how to estimate and interpret spatial
models using a variety of methods with the popular,
open-source programming language R.",
acknowledgement = ack-nhfb,
author-dates = "1976--",
subject = "Spatial analysis (Statistics); Spatial behavior;
Mathematical models; Political aspects; Legislative
bodies; Voting; Data processing; R (Computer program
language)",
tableofcontents = "Preface \\
Author Biographies \\
1. Introduction \\
2. The Basics \\
3. Analyzing Issue Scales \\
4. Analyzing Similarities and Dissimilarities Data \\
5. Unfolding Analysis of Rating Scale Data \\
6. Unfolding Analysis of Binary Choice Data \\
7. Advanced Topics \\
References",
}
@Article{Asquith:2014:PEP,
author = "William H. Asquith",
title = "Parameter estimation for the $4$-parameter {Asymmetric
Exponential Power} distribution by the method of
{$L$}-moments using {R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "71",
number = "??",
pages = "955--970",
month = mar,
year = "2014",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:50 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947312004471",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Augugliaro:2014:PRP,
author = "Luigi Augugliaro and Angelo Mineo and Ernst C. Wit",
title = "\pkg{dglars}: An {R} Package to Estimate Sparse
Generalized Linear Models",
journal = j-J-STAT-SOFT,
volume = "59",
number = "8",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i08",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-11-13; Accepted 2014-05-05",
}
@Article{Azzalini:2014:CND,
author = "Adelchi Azzalini and Giovanna Menardi",
title = "Clustering via Nonparametric Density Estimation: The
{R} Package {{\tt pdfCluster}}",
journal = j-J-STAT-SOFT,
volume = "57",
number = "11",
pages = "??--??",
month = may,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-06-07; Accepted 2013-08-18",
}
@Article{Bada:2014:PPD,
author = "Oualid Bada and Dominik Liebl",
title = "\pkg{phtt}: Panel Data Analysis with Heterogeneous
Time Trends in {R}",
journal = j-J-STAT-SOFT,
volume = "59",
number = "6",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-05; Accepted 2014-04-28",
}
@Article{Baltagi:2014:FES,
author = "Badi H. Baltagi and Jing Li",
title = "Further evidence on the spatio--temporal model of
house prices in the {United States}",
journal = j-J-APPL-ECONOMETRICS,
volume = "29",
number = "3",
pages = "515--522",
month = apr # "--" # may,
year = "2014",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.2372",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:26:15 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See replication report \cite{Millo:2015:NRS}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "16 December 2013",
}
@Article{Barcaroli:2014:PRP,
author = "Giulio Barcaroli",
title = "\pkg{SamplingStrata}: An {R} Package for the
Optimization of Stratified Sampling",
journal = j-J-STAT-SOFT,
volume = "61",
number = "4",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i04",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-05; Accepted 2014-05-22",
}
@Article{Bartolucci:2014:MRP,
author = "Francesco Bartolucci and Silvia Bacci and Michela
Gnaldi",
title = "{MultiLCIRT}: an {R} package for multidimensional
latent class item response models",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "71",
number = "??",
pages = "971--985",
month = mar,
year = "2014",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:50 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947313002053",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Baumer:2014:BRA,
author = "Ben S. Baumer",
title = "Book Review: {{\booktitle{Analyzing Baseball Data with
R}} by Max Marchi, Jim Albert}",
journal = j-INT-STAT-REV,
volume = "82",
number = "2",
pages = "313--315",
month = aug,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12068_5",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Feb 11 12:18:41 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "4 Aug 2014",
}
@Article{Beaton:2014:EMA,
author = "Derek Beaton and Cherise R. Chin Fatt and Herv{\'e}
Abdi",
title = "An {ExPosition} of multivariate analysis with the
singular value decomposition in {R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "72",
number = "??",
pages = "176--189",
month = apr,
year = "2014",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:52 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947313004441",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Berentsen:2014:ILR,
author = "Geir Drage Berentsen and Tore Selland Kleppe and Dag
Bjarne Tj{\o}stheim",
title = "Introducing {\tt localgauss}, an {R} Package for
Estimating and Visualizing Local {Gaussian}
Correlation",
journal = j-J-STAT-SOFT,
volume = "56",
number = "12",
pages = "??--??",
month = feb,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-10-19; Accepted 2013-09-11",
}
@Book{Bloomfield:2014:URN,
author = "Victor A. Bloomfield",
title = "Using {R} for Numerical Analysis in Science and
Engineering",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xxii + 335",
year = "2014",
ISBN = "1-4398-8448-X (hardcover)",
ISBN-13 = "978-1-4398-8448-5 (hardcover)",
LCCN = "Q183.9 .B56 2014",
bibdate = "Mon Sep 28 08:51:19 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
URL = "http://www.crcnetbase.com/isbn/9781439884492",
abstract = "This book shows how the free and open-source R
environment can be used as a powerful and comprehensive
platform for the kinds of numerical analysis that are
traditionally employed by MATLAB. With R code fully
integrated, the book offers brief descriptions of basic
approaches and emphasizes detailed worked examples. It
covers functions in the base installation of R as well
as those in contributed packages, which greatly enhance
the numerical analysis capabilities of R''-- ``The
complex mathematical problems faced by scientists and
engineers rarely can be solved by analytical
approaches, so numerical methods are often necessary.
There are many books that deal with numerical methods
for scientists and engineers; their content is fairly
standardized: solution of systems of linear algebraic
equations and nonlinear equations, finding eigenvalues
and eigenfunctions, interpolation and curve fitting,
numerical differentiation and integration,
optimization, solution of ordinary differential
equations and partial differential equations, and
Fourier analysis. Sometimes statistical analysis of
data is included, as it should be. As powerful personal
computers have become virtually universal on the desks
of scientists and engineers, computationally intensive
Monte Carlo methods are joining the numerical analysis
armamentarium. If there are many books on these
well-established topics, why am I writing another one?
The answer is to propose and demonstrate the use of a
language relatively new to the field: R. My approach in
this book is not to present the standard theoretical
treatments that underlie the various numerical methods
used by scientists and engineers. There are many fine
books and online resources that do that, including one
that uses R: Owen Jones, Robert Maillardet, and Andrew
Robinson. Introduction to Scientific Programming and
Simulation Using R. Chapman and Hall/CRC, Boca Raton,
FL, 2009. Instead, I have tried to write a guide to the
capabilities of R and its add-on packages in the realm
of numerical methods, with simple but useful examples
of how the most pertinent functions can be employed in
practical situations.",
acknowledgement = ack-nhfb,
subject = "Science; Data processing; Engineering; Numerical
analysis; R (Computer program language); MATHEMATICS /
General.; MATHEMATICS / Number Systems.; MATHEMATICS /
Probability and Statistics / General.",
tableofcontents = "1. Introduction \\
2. Calculating \\
3. Graphing \\
4. Programming and functions \\
5. Solving systems of algebraic equations \\
6. Numerical differentiation and integration \\
7. Optimization \\
8. Ordinary differential equations \\
9. Partial differential equations \\
10. Analyzing data \\
11. Fitting models to data",
}
@Article{Bonhomme:2014:MOA,
author = "Vincent Bonhomme and Sandrine Picq and C{\'e}dric
Gaucherel and Julien Claude",
title = "{{\tt Momocs}}: Outline Analysis Using {R}",
journal = j-J-STAT-SOFT,
volume = "56",
number = "13",
pages = "??--??",
month = feb,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i13",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-24; Accepted 2013-09-07",
}
@Article{Braun:2014:PRP,
author = "Michael Braun",
title = "\pkg{trustOptim}: An {R} Package for Trust Region
Optimization with Sparse {Hessians}",
journal = j-J-STAT-SOFT,
volume = "60",
number = "4",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v60/i04",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-09-28; Accepted 2014-06-02",
}
@Article{Broman:2014:FYP,
author = "Karl Broman",
title = "Fourteen Years of \pkg{R/qtl}: Just Barely
Sustainable",
journal = j-J-OPEN-RES-SOFT,
volume = "2",
number = "1",
pages = "e11--??",
day = "09",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.at",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:49 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.at/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Caimo:2014:PBE,
author = "Alberto Caimo and Nial Friel",
title = "\pkg{Bergm}: {Bayesian} Exponential Random Graphs in
{R}",
journal = j-J-STAT-SOFT,
volume = "61",
number = "2",
pages = "??--??",
month = oct,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-02-16; Accepted 2014-05-27",
}
@Article{Canal:2014:CSC,
author = "Luisa Canal and Rocco Micciolo",
title = "The chi-square controversy: what if {Pearson} had
{R}?",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "84",
number = "5",
pages = "1015--1021",
year = "2014",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2012.737793",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Tue Apr 22 09:13:16 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Book{Carmona:2014:SAF,
author = "R. (Ren{\'e}) Carmona",
title = "Statistical analysis of financial data in {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xvii + 588",
year = "2014",
DOI = "https://doi.org/10.1007/978-1-4614-8788-3",
ISBN = "1-4614-8787-0 (hardcover)",
ISBN-13 = "978-1-4614-8787-6 (hardcover)",
ISSN = "1431-875X",
LCCN = "HG106 .C37 2014",
bibdate = "Thu Jul 10 08:12:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy1404/2013951152-b.html;
http://www.loc.gov/catdir/enhancements/fy1404/2013951152-d.html;
http://www.loc.gov/catdir/enhancements/fy1404/2013951152-t.html",
abstract = "Although there are many books on mathematical finance,
few deal with the statistical aspects of modern data
analysis as applied to financial problems. This book
fills this gap by addressing some of the most
challenging issues facing any financial engineer. It
shows how sophisticated mathematics and modern
statistical techniques can be used in concrete
financial problems. Concerns of risk management are
addressed by the control of extreme values, the fitting
of distributions with heavy tails, the computation of
values at risk (VaR), and other measures of risk. Data
description techniques such as principal component
analysis (PCA), smoothing, and regression are applied
to the construction of yield and forward curve.
Nonparametric estimation and nonlinear filtering are
used for option pricing and earnings prediction. The
book is intended for undergraduate students majoring in
financial engineering, or graduate students in a Master
in finance or MBA program. Because it was designed as a
teaching vehicle, it is sprinkled with practical
examples using market data, and each chapter ends with
exercises. Practical examples are solved in the
computing environment of R. They illustrate problems
occurring in the commodity and energy markets, the
fixed income markets as well as the equity markets, and
even some new emerging markets like the weather
markets. The book can help quantitative analysts by
guiding them through the details of statistical model
estimation and implementation. It will also be of
interest to researchers wishing to manipulate financial
data, implement abstract concepts, and test
mathematical theories, especially by addressing
practical issues that are often neglected in the
presentation of the theory.",
acknowledgement = ack-nhfb,
remark = "Revised edition of the \cite{Carmona:2004:SAF}.",
subject = "Business mathematics; R (Computer program language);
Mathematical statistics; Finance; Mathematical models;
Econometric models",
tableofcontents = "Univariate Data Distributions \\
Heavy Tail Distributions \\
Dependence and Multivariate Data Exploration \\
Parametric Regression \\
Local and Nonparametric Regression \\
Time Series Models \\
Multivariate Time Series, Linear Systems and Kalman
Filtering \\
Nonlinear Time Series: Models and Simulation \\
Appendices \\
Indices",
}
@Article{Chakraborty:2014:BRB,
author = "Sounak Chakraborty",
title = "Book Review: {{\booktitle{Bayesian Essentials with R}}
by Jean-Michel Marin and Christian P. Robert}",
journal = j-INT-STAT-REV,
volume = "82",
number = "3",
pages = "488--490",
month = dec,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12085_12",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Feb 11 12:18:42 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "6 Nov 2014",
}
@Article{Chambers:2014:OOP,
author = "John M. Chambers",
title = "Object-Oriented Programming, Functional Programming
and {R}",
journal = j-STAT-SCI,
volume = "29",
number = "2",
pages = "167--180",
month = may,
year = "2014",
CODEN = "STSCEP",
ISSN = "0883-4237 (print), 2168-8745 (electronic)",
ISSN-L = "0883-4237",
bibdate = "Thu Nov 6 11:34:28 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statsci.bib",
URL = "http://projecteuclid.org/euclid.ss/1408368569",
acknowledgement = ack-nhfb,
fjournal = "Statistical Science",
journal-URL = "http://projecteuclid.org/all/euclid.ss",
}
@Article{Charrad:2014:PRP,
author = "Malika Charrad and Nadia Ghazzali and V{\'e}ronique
Boiteau and Azam Niknafs",
title = "\pkg{NbClust}: An {R} Package for Determining the
Relevant Number of Clusters in a Data Set",
journal = j-J-STAT-SOFT,
volume = "61",
number = "6",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-08-13; Accepted 2013-04-08",
}
@Article{Cheng:2014:GBR,
author = "Ching-Wei Cheng and Ying-Chao Hung and Narayanaswamy
Balakrishnan",
title = "Generating beta random numbers and {Dirichlet} random
vectors in {R}: the package {rBeta2009}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "71",
number = "??",
pages = "1011--1020",
month = mar,
year = "2014",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:50 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/prng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947313000753",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Chiou:2014:FAF,
author = "Sy Han Chiou and Sangwook Kang and Jun Yan",
title = "Fitting Accelerated Failure Time Models in Routine
Survival Analysis with {R} Package \pkg{aftgee}",
journal = j-J-STAT-SOFT,
volume = "61",
number = "11",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i11",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-11-15; Accepted 2014-06-13",
}
@Article{Colombi:2014:PRP,
author = "Roberto Colombi and Sabrina Giordano and Manuela
Cazzaro",
title = "\pkg{hmmm}: An {R} Package for Hierarchical
Multinomial Marginal Models",
journal = j-J-STAT-SOFT,
volume = "59",
number = "11",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i11",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-11; Accepted 2014-05-15",
}
@Article{daSilva-Junior:2014:CSP,
author = "Antonio Hermes M. da Silva-J{\'u}nior and Dami{\~a}o
N{\'o}brega da Silva and Silvia L. P. Ferrari",
title = "Code Snippet: \pkg{mdscore}: An {R} Package to Compute
Improved Score Tests in Generalized Linear Models",
journal = j-J-STAT-SOFT,
volume = "61",
number = "CS-2",
pages = "??--??",
month = oct,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/c02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-12-16; Accepted 2014-06-02",
}
@Book{Douc:2014:NTS,
author = "Randal Douc and Eric Moulines and David S. Stoffer",
title = "Nonlinear Time Series: Theory, Methods and
Applications with {R} Examples",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xx + 531",
year = "2014",
ISBN = "1-4665-0225-8 (hardcover)",
ISBN-13 = "978-1-4665-0225-3 (hardcover)",
LCCN = "QA280 .D68 2014",
bibdate = "Fri Apr 15 16:33:22 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science",
URL = "http://images.tandf.co.uk/common/jackets/websmall/978146650/9781466502253.jpg",
abstract = "This text emphasizes nonlinear models for a course in
time series analysis. After introducing stochastic
processes, Markov chains, Poisson processes, and ARMA
models, the authors cover functional autoregressive,
ARCH, threshold AR, and discrete time series models as
well as several complementary approaches. They discuss
the main limit theorems for Markov chains, useful
inequalities, statistical techniques to infer model
parameters, and GLMs. Moving on to HMM models, the book
examines filtering and smoothing, parametric and
nonparametric inference, advanced particle filtering,
and numerical methods for inference.",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Mathematical models; MATHEMATICS
/ Probability and Statistics / General.",
tableofcontents = "Linear Models \\
Linear Gaussian State Space Models \\
Beyond Linear Models \\
Stochastic Recurrence Equations \\
Markov Models: Construction and Definitions \\
Stability and Convergence \\
Sample Paths and Limit Theorems \\
Inference for Markovian Models \\
STATE SPACE AND HIDDEN MARKOV MODELS \\
Non-Gaussian and Nonlinear State Space Models \\
Particle Filtering \\
Particle Smoothing \\
Inference for Nonlinear State Space Models \\
Asymptotics of the MLE for NLSS",
}
@Article{Durante:2014:BRBa,
author = "Fabrizio Durante",
title = "Book Review: {{\booktitle{The R Book, Second Edition}}
by Michael J. Crawley}",
journal = j-INT-STAT-REV,
volume = "82",
number = "1",
pages = "145--146",
month = apr,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12051_5",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 15:28:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "22 Apr 2014",
}
@Article{Eddelbuettel:2014:RAR,
author = "Dirk Eddelbuettel and Conrad Sanderson",
title = "{RcppArmadillo}: Accelerating {R} with
high-performance {C++} linear algebra",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "71",
number = "??",
pages = "1054--1063",
month = mar,
year = "2014",
CODEN = "CSDADW",
DOI = "https://doi.org/10.1016/j.csda.2013.02.005",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:50 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947313000492",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Evans:2014:BRA,
author = "Gary Evans",
title = "Book Review: {{\em Analyzing Spatial Models of Choice
and Judgment with R}}",
journal = j-J-STAT-SOFT,
volume = "58",
number = "BR-1",
pages = "??--??",
month = jul,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/b01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-06-10; Accepted 2014-06-10",
}
@Article{Filzmoser:2014:SIS,
author = "Peter Filzmoser and Cristian Gatu and Achim Zeileis",
title = "Special issue on statistical algorithms and software
in {R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "71",
number = "??",
pages = "887--888",
month = mar,
year = "2014",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:50 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947313003654",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Book{Finch:2014:MMU,
author = "W. Holmes (William Holmes) Finch",
title = "Multilevel modeling using {R}",
volume = "16",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xiii + 216",
year = "2014",
ISBN = "1-4665-1585-6 (paperback)",
ISBN-13 = "978-1-4665-1585-7 (paperback)",
LCCN = "HA31.35 .F56 2014",
bibdate = "Wed Feb 11 10:59:41 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC statistics in the social and
behavioral sciences",
abstract = "This book presents the theory and practice of major
multilevel modeling techniques in a variety of contexts
using R as the software tool. It describes the
applications and extensions of multilevel modeling with
special emphasis on the use of R to conduct the
analyses and interpret the resulting output. The book
is designed for researchers, data analysts, and
upper-level undergraduate and graduate students taking
a course on multilevel modeling or statistical
modeling.",
acknowledgement = ack-nhfb,
subject = "Social sciences; Statistical methods; Multivariate
analysis; R (Computer program language); MATHEMATICS /
Probability and Statistics / General.",
tableofcontents = "1. Linear models \\
2. Introduction to multilevel data structure \\
3. Fitting two-level models in R \\
4. Models of three and more levels \\
5. Longitudinal data analysis using multilevel models
\\
6. Graphing data in multilevel contexts \\
7. Brief introduction to generalized linear models \\
8. Multilevel generalized linear models \\
9. Bayesian multilevel modeling",
}
@Article{Fresno:2014:LLM,
author = "Crist{\'o}bal Fresno and M{\'o}nica Balzarini and
Elmer Fern{\'a}ndez",
title = "{\tt lmdme}: Linear Models on Designed Multivariate
Experiments in {R}",
journal = j-J-STAT-SOFT,
volume = "56",
number = "7",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-10-04; Accepted 2013-06-26",
}
@Book{Gelman:2014:BDA,
author = "Andrew Gelman and John B. Carlin and Hal S. Stern and
David B. Dunson and Aki Vehtari and Donald B. Rubin",
title = "{Bayesian} data analysis",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Third",
pages = "xiv + 661",
year = "2014",
ISBN = "1-4398-4095-4 (hardcover)",
ISBN-13 = "978-1-4398-4095-5 (hardcover)",
LCCN = "QA279.5 .G45 2014",
bibdate = "Mon Sep 28 09:00:41 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science",
URL = "http://images.tandf.co.uk/common/jackets/websmall/978143984/9781439840955.jpg",
abstract = "This book is intended to have three roles and to serve
three associated audiences: an introductory text on
Bayesian inference starting from first principles, a
graduate text on effective current approaches to
Bayesian modeling and computation in statistics and
related fields, and a handbook of Bayesian methods in
applied statistics for general users of and researchers
in applied statistics. Although introductory in its
early sections, the book is definitely not elementary
in the sense of a first text in statistics. The
mathematics used in our book is basic probability and
statistics, elementary calculus, and linear algebra. A
review of probability notation is given in Chapter 1
along with a more detailed list of topics assumed to
have been studied. The practical orientation of the
book means that the reader's previous experience in
probability, statistics, and linear algebra should
ideally have included strong computational components.
To write an introductory text alone would leave many
readers with only a taste of the conceptual elements
but no guidance for venturing into genuine practical
applications, beyond those where Bayesian methods agree
essentially with standard non-Bayesian analyses. On the
other hand, we feel it would be a mistake to present
the advanced methods without first introducing the
basic concepts from our data-analytic perspective.
Furthermore, due to the nature of applied statistics, a
text on current Bayesian methodology would be
incomplete without a variety of worked examples drawn
from real applications. To avoid cluttering the main
narrative, there are bibliographic notes at the end of
each chapter and references at the end of the book.",
acknowledgement = ack-nhfb,
subject = "Bayesian statistical decision theory; MATHEMATICS /
Probability and Statistics / General.",
}
@Article{Gillard:2014:BRB,
author = "Jonathan Gillard",
title = "Book Review: {{\booktitle{The R book}}, second
edition}",
journal = j-J-APPL-STAT,
volume = "41",
number = "4",
pages = "909--909",
year = "2014",
DOI = "https://doi.org/10.1080/02664763.2013.853909",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Wed Mar 5 08:09:23 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Giordani:2014:TWC,
author = "Paolo Giordani and Henk A. L. Kiers and Maria
Antonietta {Del Ferraro}",
title = "Three-Way Component Analysis Using the {R} Package
{{\tt ThreeWay}}",
journal = j-J-STAT-SOFT,
volume = "57",
number = "7",
pages = "??--??",
month = apr,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i07",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-11-03; Accepted 2013-11-15",
}
@Article{Godfrey:2014:SRS,
author = "A. Jonathan R. Godfrey and M. Theodor Loots",
title = "Software Review: {{\em Statistical Software (R, SAS,
SPSS, and Minitab) for Blind Students and
Practitioners}}",
journal = j-J-STAT-SOFT,
volume = "58",
number = "SR-1",
pages = "??--??",
month = jul,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/spss.bib",
URL = "http://www.jstatsoft.org/v58/s01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-06-19; Accepted 2014-06-19",
}
@Article{Golyandina:2014:BSS,
author = "Nina Golyandina and Anton Korobeynikov",
title = "Basic Singular Spectrum Analysis and forecasting with
{R}",
journal = j-COMPUT-STAT-DATA-ANAL,
volume = "71",
number = "??",
pages = "934--954",
month = mar,
year = "2014",
CODEN = "CSDADW",
ISSN = "0167-9473 (print), 1872-7352 (electronic)",
ISSN-L = "0167-9473",
bibdate = "Fri Feb 6 11:43:50 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computstatdataanal2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0167947313001394",
acknowledgement = ack-nhfb,
fjournal = "Computational Statistics \& Data Analysis",
journal-URL = "http://www.sciencedirect.com/science/journal/01679473",
}
@Article{Gonzalez-Fernandez:2014:PRP,
author = "Yasser Gonzalez-Fernandez and Marta Soto",
title = "\pkg{copulaedas}: An {R} Package for Estimation of
Distribution Algorithms Based on Copulas",
journal = j-J-STAT-SOFT,
volume = "58",
number = "9",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i09",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-02-17; Accepted 2014-01-06",
}
@Book{Grolemund:2014:HPR,
author = "Garrett Grolemund",
title = "Hands-on programming with {R}",
publisher = pub-ORA,
address = pub-ORA:adr,
pages = "xiii + 230",
year = "2014",
ISBN = "1-4493-5901-9 (paperback)",
ISBN-13 = "978-1-4493-5901-0 (paperback)",
LCCN = "QA276.45.R3 G76 2014",
bibdate = "Sun Jul 26 11:27:14 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Handbooks, manuals,
etc; Mathematical statistics; Data processing; Data
processing",
tableofcontents = "Project 1: Weighted dice \\
Project 2: Playing cards \\
Project 3: Slot machine",
}
@Article{Gromping:2014:RPF,
author = "Ulrike Gr{\"o}mping",
title = "{R} Package {{\tt FrF2}} for Creating and Analyzing
Fractional Factorial $2$-Level Designs",
journal = j-J-STAT-SOFT,
volume = "56",
number = "1",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-08-16; Accepted 2013-04-02",
}
@Article{Grubinger:2014:PEL,
author = "Thomas Grubinger and Achim Zeileis and Karl-Peter
Pfeiffer",
title = "\pkg{evtree}: Evolutionary Learning of Globally
Optimal Classification and Regression Trees in {R}",
journal = j-J-STAT-SOFT,
volume = "61",
number = "1",
pages = "??--??",
month = oct,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-05; Accepted 2014-06-02",
}
@Article{Gu:2014:SSA,
author = "Chong Gu",
title = "Smoothing Spline {ANOVA} Models: {R} Package
\pkg{gss}",
journal = j-J-STAT-SOFT,
volume = "58",
number = "5",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i05",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-04-02; Accepted 2014-02-09",
}
@Article{Halekoh:2014:KRA,
author = "Ulrich Halekoh and S{\o}ren H{\o}jsgaard",
title = "A {Kenward--Roger} Approximation and Parametric
Bootstrap Methods for Tests in Linear Mixed Models ---
The {R} Package \pkg{pbkrtest}",
journal = j-J-STAT-SOFT,
volume = "59",
number = "9",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i09",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-11; Accepted 2013-12-01",
}
@Article{Hieke:2014:MRB,
author = "Stefanie Hieke and Harald Binder and Alexandra Nieters
and Martin Schumacher",
title = "\pkg{minPtest}: a resampling based gene region-level
testing procedure for genetic case-control studies",
journal = j-COMP-STAT,
volume = "29",
number = "1--2",
pages = "51--63",
month = feb,
year = "2014",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-012-0391-4",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:44 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-012-0391-4",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Hilbe:2014:MCD,
author = "Joseph M. Hilbe",
title = "Modeling Count Data",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "xv + 283",
year = "2014",
DOI = "https://doi.org/10.1017/CBO9781139236065",
ISBN = "1-107-02833-7 (hardcover), 1-107-61125-3 (paperback)",
ISBN-13 = "978-1-107-02833-3 (hardcover), 978-1-107-61125-2
(paperback)",
LCCN = "QA278 .H56 2014",
bibdate = "Mon Sep 28 08:26:39 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/probstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
z3950.loc.gov:7090/Voyager",
abstract = "This entry-level text offers clear and concise
guidelines on how to select, construct, interpret, and
evaluate count data. Written for researchers with
little or no background in advanced statistics, the
book presents treatments of all major models using
numerous tables, insets, and detailed modeling
suggestions. It begins by demonstrating the
fundamentals of linear regression and works up to an
analysis of the Poisson and negative binomial models,
and to the problem of overdispersion. Examples in
Stata, R, and SAS code enable readers to adapt models
for their own purposes, making the text an ideal
resource for researchers working in public health,
ecology, econometrics, transportation, and other
related fields.",
acknowledgement = ack-nhfb,
author-dates = "1944--",
subject = "Multivariate analysis; Statistics; Linear models
(Statistics); MATHEMATICS / Probability and Statistics
/ General.",
tableofcontents = "Preface \\
1. Varieties of count data \\
2. Poisson regression \\
3. Testing overdispersion \\
4. Assessment of fit \\
5. Negative binomial regression \\
6. Poisson inverse Gaussian regression \\
7. Problems with zeros \\
8. Modeling under-dispersed count data --- generalized
Poisson \\
9. Complex data: more advanced models \\
Appendix A: SAS code \\
References \\
Index",
}
@Article{Ho:2014:CPN,
author = "Anson T. Y. Ho and Kim P. Huynh and David T.
Jacho-Ch{\'a}vez",
title = "{CRS}: a package for nonparametric spline estimation
in {R}",
journal = j-J-APPL-ECONOMETRICS,
volume = "29",
number = "2",
pages = "348--352",
month = mar,
year = "2014",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.2381",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:26:14 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "27 January 2014",
}
@Article{Hoef:2014:SRP,
author = "Jay Ver Hoef and Erin Peterson and David Clifford and
Rohan Shah",
title = "{{\tt SSN}}: An {R} Package for Spatial Statistical
Modeling on Stream Networks",
journal = j-J-STAT-SOFT,
volume = "56",
number = "3",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-08-24; Accepted 2013-04-22",
}
@Article{Hofner:2014:MBB,
author = "Benjamin Hofner and Andreas Mayr and Nikolay
Robinzonov and Matthias Schmid",
title = "Model-based boosting in {R}: a hands-on tutorial using
the {R} package \pkg{mboost}",
journal = j-COMP-STAT,
volume = "29",
number = "1--2",
pages = "3--35",
month = feb,
year = "2014",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-012-0382-5",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:44 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-012-0382-5",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Hornik:2014:PRP,
author = "Kurt Hornik and Bettina Gr{\"u}n",
title = "\pkg{movMF}: An {R} Package for Fitting Mixtures of
{von Mises--Fisher} Distributions",
journal = j-J-STAT-SOFT,
volume = "58",
number = "10",
pages = "??--??",
month = jul,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i10",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-10-23; Accepted 2014-03-20",
}
@Article{Jamshidian:2014:MRP,
author = "Mortaza Jamshidian and Siavash Jalal and Camden
Jansen",
title = "{{\tt MissMech}}: An {R} Package for Testing
Homoscedasticity, Multivariate Normality, and Missing
Completely at Random {(MCAR)}",
journal = j-J-STAT-SOFT,
volume = "56",
number = "6",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i06",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-15; Accepted 2013-06-17",
}
@Article{Jan:2014:PRP,
author = "Budczies Jan and Daniel Kosztyla and Christian von
T{\"o}rne and Albrecht Stenzinger and Silvia
Darb-Esfahani and Manfred Dietel and Carsten Denkert",
title = "\pkg{cancerclass}: An {R} Package for Development and
Validation of Diagnostic Tests from High-Dimensional
Molecular Data",
journal = j-J-STAT-SOFT,
volume = "59",
number = "1",
pages = "??--??",
month = aug,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-18; Accepted 2014-03-11",
}
@Book{Jockers:2014:TAR,
author = "Matthew Lee Jockers",
title = "Text Analysis with {R} for Students of Literature",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xvi + 194",
year = "2014",
DOI = "https://doi.org/10.1007/978-3-319-03164-4",
ISBN = "3-030-39643-6 (e-book), 3-319-03163-5 (hardcover),
3-319-03164-3 (e-book)",
ISBN-13 = "978-3-030-39643-5 (e-book), 978-3-319-03163-7
(hardcover), 978-3-319-03164-4 (e-book)",
LCCN = "QA76.9.T48 J63 2014",
bibdate = "Wed Oct 20 10:23:45 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Quantitative methods in the humanities and social
sciences",
abstract = "\booktitle{Text Analysis with R for Students of
Literature} is written with students and scholars of
literature in mind but will be applicable to other
humanists and social scientists wishing to extend their
methodological tool kit to include quantitative and
computational approaches to the study of text.
Computation provides access to information in text that
we simply cannot gather using traditional qualitative
methods of close reading and human synthesis.
\booktitle{Text Analysis with R for Students of
Literature} provides a practical introduction to
computational text analysis using the open source
programming language R.R is extremely popular
throughout the sciences and because of its
accessibility, R is now used increasingly in other
research areas. Readers begin working with text right
away and each chapter works through a new technique or
process such that readers gain a broad exposure to core
R procedures and a basic understanding of the
possibilities of computational text analysis at both
the micro and macro scale. Each chapter builds on the
previous as readers move from small scale
``microanalysis'' of single texts to large scale
``macroanalysis'' of text corpora, and each chapter
concludes with a set of practice exercises that
reinforce and expand upon the chapter lessons. The
book's focus is on making the technical palatable and
making the technical useful and immediately
gratifying.",
acknowledgement = ack-nhfb,
author-dates = "1966--",
subject = "Discourse analysis; Data processing; R (Computer
program language); Languages",
tableofcontents = "R Basics \\
First Foray into Text Analysis with R \\
Accessing and Comparing Word Frequency Data \\
Token Distribution Analysis \\
Correlation \\
Measures of Lexical Variety \\
Hapax Richness \\
Do It KWIC \\
Do It KWIC (Better) \\
Text Quality, Text Variety, and Parsing XML \\
Clustering \\
Classification \\
Topic Modeling \\
Appendix A: Variable Scope Example \\
Appendix B: The LDA Buffet \\
Appendix C: Code Repository \\
Appendix D: R Resources \\
Practice Exercise Solutions \\
Index",
}
@Article{Joenssen:2014:PSG,
author = "Dieter W. Joenssen and J{\"u}rgen Vogel",
title = "A power study of goodness-of-fit tests for
multivariate normality implemented in {R}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "84",
number = "5",
pages = "1055--1078",
year = "2014",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2012.739620",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Tue Apr 22 09:13:16 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Book{Jones:2014:ISP,
author = "Owen (Owen Dafydd) Jones and Robert Maillardet and
Andrew (Andrew P.) Robinson",
title = "Introduction to scientific programming and simulation
using {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xxiv + 582",
year = "2014",
ISBN = "1-4665-6999-9, 1-4665-7001-6",
ISBN-13 = "978-1-4665-6999-7, 978-1-4665-7001-6",
LCCN = "Q183.9 .J65 2014",
bibdate = "Thu Jul 21 05:52:46 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "The R series",
acknowledgement = ack-nhfb,
subject = "Science; Data processing; Computer simulation;
Stochastic processes; Mathematical models; Numerical
analysis; Computer programming; R (Computer program
language); Computer simulation; Data processing",
}
@Article{Kalibera:2014:FAS,
author = "Tomas Kalibera and Petr Maj and Floreal Morandat and
Jan Vitek",
title = "A fast abstract syntax tree interpreter for {R}",
journal = j-SIGPLAN,
volume = "49",
number = "7",
pages = "89--102",
month = jul,
year = "2014",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/2674025.2576205",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Fri Sep 26 07:29:50 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/java2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
abstract = "Dynamic languages have been gaining popularity to the
point that their performance is starting to matter. The
effort required to develop a production-quality,
high-performance runtime is, however, staggering and
the expertise required to do so is often out of reach
of the community maintaining a particular language.
Many domain specific languages remain stuck with naive
implementations, as they are easy to write and simple
to maintain for domain scientists. In this paper, we
try to see how far one can push a naive implementation
while remaining portable and not requiring expertise in
compilers and runtime systems. We choose the R
language, a dynamic language used in statistics, as the
target of our experiment and adopt the simplest
possible implementation strategy, one based on
evaluation of abstract syntax trees. We build our
interpreter on top of a Java virtual machine and use
only facilities available to all Java programmers. We
compare our results to other implementations of R.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J706",
remark = "VEE '14 conference proceedings.",
}
@Article{Karlsson:2014:TRP,
author = "Maria Karlsson and Anita Lindmark",
title = "{truncSP}: An {R} Package for Estimation of
Semi-Parametric Truncated Linear Regression Models",
journal = j-J-STAT-SOFT,
volume = "57",
number = "14",
pages = "??--??",
month = may,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i14",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-29; Accepted 2013-11-22",
}
@Article{Kenkel:2014:EEF,
author = "Brenton Kenkel and Curtis Signorino",
title = "Estimating Extensive Form Games in {R}",
journal = j-J-STAT-SOFT,
volume = "56",
number = "8",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-06-30; Accepted 2013-07-27",
}
@Article{Killick:2014:PRP,
author = "Rebecca Killick and Idris A. Eckley",
title = "\pkg{changepoint}: An {R} Package for Changepoint
Analysis",
journal = j-J-STAT-SOFT,
volume = "58",
number = "3",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i03",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-01-10; Accepted 2014-02-23",
}
@Article{Kirk:2014:IPS,
author = "Jennifer L. Kirk and Michael P. Fay",
title = "An Introduction to Practical Sequential Inferences via
Single-Arm Binary Response Studies Using the
\pkg{binseqtest} {R} Package",
journal = j-AMER-STAT,
volume = "68",
number = "4",
pages = "230--242",
year = "2014",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2014.951126",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Fri Feb 13 09:58:16 MST 2015",
bibsource = "http://www.tandfonline.com/toc/utas20/68/4;
https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "12 Aug 2014",
}
@Article{Koenker:2014:COR,
author = "Roger Koenker and Ivan Mizera",
title = "Convex Optimization in {R}",
journal = j-J-STAT-SOFT,
volume = "60",
number = "5",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v60/i05",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-01-24; Accepted 2014-08-05",
}
@Book{Kolaczyk:2014:SAN,
author = "Eric D. Kolaczyk and G{\'a}bor Cs{\'a}rdi",
title = "Statistical analysis of network data with {R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiii + 207",
year = "2014",
ISBN = "1-4939-0982-7 (paperback)",
ISBN-13 = "978-1-4939-0982-7 (paperback), 978-1-4939-0983-4
(eBook)",
LCCN = "QA402 .K6483 2014",
bibdate = "Mon Jun 8 10:11:51 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
abstract = "Networks have permeated everyday life through everyday
realities like the Internet, social networks, and viral
marketing. As such, network analysis is an important
growth area in the quantitative sciences, with roots in
social network analysis going back to the 1930s and
graph theory going back centuries. Measurement and
analysis are integral components of network research.
As a result, statistical methods play a critical role
in network analysis. This book is the first of its kind
in network research. It can be used as a stand-alone
resource in which multiple R packages are used to
illustrate how to conduct a wide range of network
analyses, from basic manipulation and visualization, to
summary and characterization, to modeling of network
data. The central package is igraph, which provides
extensive capabilities for studying network graphs in
R. This text builds on Eric D. Kolaczyk's book
\booktitle{Statistical Analysis of Network Data}
(Springer, 2009).",
acknowledgement = ack-nhfb,
subject = "System analysis; Statistical methods; R (Computer
program language); Data Interpretation, Statistical; R
(Computer program language); Statistical methods",
tableofcontents = "1. Introduction \\
2. Manipulating network data \\
3. Visualizing network data \\
4. Descriptive analysis of network graph
characteristics \\
5. Mathematical models for network graphs \\
6. Statistical models for network graphs \\
7. Network topology inference \\
8. Modeling and prediction for processes on network
graphs \\
9. Analysis of network flow data \\
10. Dynamic networks",
}
@Article{Komarek:2014:CRP,
author = "Arnost Kom{\'a}rek and Lenka Kom{\'a}rkov{\'a}",
title = "Capabilities of {R} Package \pkg{mixAK} for Clustering
Based on Multivariate Continuous and Discrete
Longitudinal Data",
journal = j-J-STAT-SOFT,
volume = "59",
number = "12",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i12",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-09-26; Accepted 2014-05-21",
}
@Article{Kowarik:2014:SAR,
author = "Alexander Kowarik and Angelika Meraner and Matthias
Templ and Daniel Schopfhauser",
title = "Seasonal Adjustment with the {R} Packages \pkg{x12}
and \pkg{x12GUI}",
journal = j-J-STAT-SOFT,
volume = "62",
number = "2",
pages = "??--??",
month = dec,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v62/i02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-07-30; Accepted 2014-07-02",
}
@Book{Kroese:2014:SMC,
author = "Dirk P. Kroese and Joshua (Joshua C. C.) Chan",
title = "Statistical Modeling and Computation",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xx + 400",
year = "2014",
ISBN = "1-4614-8774-9 (hardcover), 1-4614-8775-7 (e-book)",
ISBN-13 = "978-1-4614-8774-6 (hardcover), 978-1-4614-8775-3
(e-book)",
LCCN = "QA276 .K6986 2014",
bibdate = "Tue Jan 12 16:27:36 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Statistics; Probabilities; Mathematical models;
MATLAB",
tableofcontents = "1: Probability models \\
2: Random variables and probability distributions \\
3: Joint distributions \\
4: Common statistical models \\
5: Statistical inference \\
6: Likelihood \\
7: Monte Carlo sampling \\
8: Bayesian inferences \\
9: Generalized linear models \\
10: Dependent data models \\
11: State space models \\
A: MATLAB primer \\
B: Mathematical supplement",
}
@Article{Lafarge:2014:RIP,
author = "Thomas Lafarge and Beatriz Pateiro-L{\'o}pez and
Antonio Possolo and Joy Dunkers",
title = "{R} Implementation of a Polyhedral Approximation to a
{$3$D} Set of Points Using the $ \alpha $-Shape",
journal = j-J-STAT-SOFT,
volume = "56",
number = "4",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i04",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-06; Accepted 2013-06-06",
}
@Book{Lander:2014:REA,
author = "Jared P. Lander",
title = "{R} for everyone: advanced analytics and graphics",
publisher = pub-AW,
address = pub-AW:adr,
pages = "464",
year = "2014",
ISBN = "0-321-88803-0 (paperback), 0-13-325715-0 (e-book),
0-13-325717-7 (e-book), 0-13-325718-5 (Web)",
ISBN-13 = "978-0-321-88803-7 (paperback), 978-0-13-325715-1
(e-book), 978-0-13-325717-5 (e-book), 978-0-13-325718-2
(Web)",
LCCN = "QA76.73.R3",
bibdate = "Wed Mar 19 06:17:00 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://proquest.safaribooksonline.com/book/programming/r/9780133257182",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Scripting languages
(Computer science); Statistics; Data processing;
Statistics--Graphic methods--Data processing; Computer
simulation",
tableofcontents = "Foreword \\
Preface \\
Acknowledgments \\
About the Author \\
1. Getting R \\
1.1. Downloading R \\
1.2. R Version \\
1.3. 32-bit versus 64-bit \\
1.4. Installing \\
1.5. Revolution R Community Edition \\
1.6. Conclusion \\
2. The R Environment \\
2.1. Command Line Interface \\
2.2. RStudio \\
2.3. Revolution Analytics RPE \\
2.4. Conclusion \\
3. R Packages \\
3.1. Installing Packages \\
3.2. Loading Packages \\
3.3. Building a Package \\
3.4. Conclusion \\
4. Basics of R \\
4.1. Basic Math \\
4.2. Variables \\
4.3. Data Types \\
4.4. Vectors \\
4.5. Calling Functions \\
4.6. Function Documentation \\
4.7. Missing Data \\
4.8. Conclusion \\
5. Advanced Data Structures \\
5.1. data.frames \\
5.2. Lists \\
5.3. Matrices \\
5.4. Arrays \\
5.5. Conclusion \\
6. Reading Data into R \\
6.1. Reading CSVs \\
6.2. Excel Data \\
6.3. Reading from Databases \\
6.4. Data from Other Statistical Tools \\
6.5. R Binary Files \\
6.6. Data Included with R \\
6.7. Extract Data from Web Sites \\
6.8. Conclusion \\
7. Statistical Graphics \\
7.1. Base Graphics \\
7.2. ggplot2 \\
7.3. Conclusion \\
8. Writing R functions \\
8.1. Hello, World! \\
8.2. Function Arguments \\
8.3. Return Values \\
8.4. do.call \\
8.5. Conclusion \\
9. Control Statements \\
9.1. if and else \\
9.2. switch \\
9.3. ifelse \\
9.4. Compound Tests \\
9.5. Conclusion \\
10. Loops, the Un-R Way to Iterate \\
10.1. for Loops \\
10.2. while Loops \\
10.3. Controlling Loops \\
10.4. Conclusion \\
11. Group Manipulation \\
11.1. Apply Family \\
11.2. aggregate \\
11.3. plyr \\
11.4. data.table \\
11.5. Conclusion \\
12. Data Reshaping \\
12.1. cbind and rbind \\
12.2. Joins \\
12.3. reshape2 \\
12.4. Conclusion \\
13. Manipulating Strings \\
13.1. paste \\
13.2. sprintf \\
13.3. Extracting Text \\
13.4. Regular Expressions \\
13.5. Conclusion \\
14. Probability Distributions \\
14.1. Normal Distribution \\
14.2. Binomial Distribution \\
14.3. Poisson Distribution \\
14.4. Other Distributions \\
14.5. Conclusion \\
15. Basic Statistics \\
15.1. Summary Statistics \\
15.2. Correlation and Covariance \\
15.3. T-Tests \\
15.4. ANOVA \\
15.5. Conclusion \\
16. Linear Models \\
16.1. Simple Linear Regression \\
16.2. Multiple Regression \\
16.3. Conclusion \\
17. Generalized Linear Models \\
17.1. Logistic Regression \\
17.2. Poisson Regression \\
17.3. Other Generalized Linear Models \\
17.4. Survival Analysis \\
17.5. Conclusion \\
18. Model Diagnostics \\
18.1. Residuals \\
18.2. Comparing Models \\
18.3. Cross-Validation \\
18.4. Bootstrap \\
18.5. Stepwise Variable Selection \\
18.6. Conclusion \\
19. Regularization and Shrinkage \\
19.1. Elastic Net \\
19.2. Bayesian Shrinkage \\
19.3. Conclusion \\
20. Nonlinear Models \\
20.1. Nonlinear Least Squares \\
20.2. Splines \\
20.3. Generalized Additive Models \\
20.4. Decision Trees \\
20.5. Random Forests \\
20.6. Conclusion \\
21. Time Series and Autocorrelation \\
21.1. Autoregressive Moving Average \\
21.2. VAR \\
21.3. GARCH \\
21.4. Conclusion \\
22. Clustering \\
22.1. K-means \\
22.2. PAM \\
22.3. Hierarchical Clustering \\
22.4. Conclusion \\
23. Reproducibility, Reports and Slide Shows with knitr
\\
23.1. Installing a LaTeX Program \\
23.2. LaTeX Primer \\
23.3. Using knitr with LaTeX \\
23.4. Markdown Tips \\
23.5. Using knitr and Markdown \\
23.6. pandoc \\
23.7. Conclusion \\
24. Building R Packages \\
24.1. Folder Structure \\
24.2. Package Files \\
24.3. Package Documentation \\
24.4. Checking, Building and Installing \\
24.5. Submitting to CRAN \\
24.6. C++ Code \\
24.7. Conclusion \\
Appendix A. Real-Life Resources \\
A.1. Meetups \\
A.2. Stack Overflow \\
A.3. Twitter \\
A.4. Conferences \\
A.5. Web Sites \\
A.6. Documents \\
A.7. Books \\
A.8. Conclusion \\
Appendix B. Glossary \\
List of Figures \\
List of Tables \\
General Index \\
Index of Functions \\
Index of Packages \\
Index of People \\
Data Index",
}
@Article{Lang:2014:ERA,
author = "Duncan Temple Lang",
title = "Enhancing {R} with Advanced Compilation Tools and
Methods",
journal = j-STAT-SCI,
volume = "29",
number = "2",
pages = "181--200",
month = may,
year = "2014",
CODEN = "STSCEP",
ISSN = "0883-4237 (print), 2168-8745 (electronic)",
ISSN-L = "0883-4237",
bibdate = "Thu Nov 6 11:34:28 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statsci.bib",
URL = "http://projecteuclid.org/euclid.ss/1408368570",
acknowledgement = ack-nhfb,
fjournal = "Statistical Science",
journal-URL = "http://projecteuclid.org/all/euclid.ss",
}
@Article{Lawrence:2014:SGR,
author = "Michael Lawrence and Martin Morgan",
title = "Scalable Genomics with {R} and {Bioconductor}",
journal = j-STAT-SCI,
volume = "29",
number = "2",
pages = "214--226",
month = may,
year = "2014",
CODEN = "STSCEP",
ISSN = "0883-4237 (print), 2168-8745 (electronic)",
ISSN-L = "0883-4237",
bibdate = "Thu Nov 6 11:34:28 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statsci.bib",
URL = "http://projecteuclid.org/euclid.ss/1408368572",
acknowledgement = ack-nhfb,
fjournal = "Statistical Science",
journal-URL = "http://projecteuclid.org/all/euclid.ss",
}
@Article{Leppisaari:2014:BRB,
author = "Matias Leppisaari",
title = "Book Review: {{\booktitle{An Introduction to Analysis
of Financial Data with R}} by Ruey S. Tsay}",
journal = j-INT-STAT-REV,
volume = "82",
number = "1",
pages = "142--143",
month = apr,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12051_2",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 15:28:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "22 Apr 2014",
}
@Article{Lhachimi:2014:BRB,
author = "Stefan K. Lhachimi",
title = "Book reviews: {{\booktitle{R Graphics}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "177",
number = "2",
pages = "567--567",
month = feb,
year = "2014",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12050_4",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Jan 26 13:24:15 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "6 Feb 2014",
}
@Article{Liao:2014:PRP,
author = "Xiyue Liao and Mary C. Meyer",
title = "\pkg{coneproj}: An {R} Package for the Primal or Dual
Cone Projections with Routines for Constrained
Regression",
journal = j-J-STAT-SOFT,
volume = "61",
number = "12",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i12",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-09-18; Accepted 2014-06-11",
}
@Article{Lopez-Raton:2014:PRP,
author = "M{\'o}nica L{\'o}pez-Rat{\'o}n and Mar{\'\i}a Xos{\'e}
Rodr{\'\i}guez-{\'A}lvarez and Carmen
Cadarso-Su{\'a}rez and Francisco Gude-Sampedro",
title = "\pkg{OptimalCutpoints}: An {R} Package for Selecting
Optimal Cutpoints in Diagnostic Tests",
journal = j-J-STAT-SOFT,
volume = "61",
number = "8",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i08",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-11-08; Accepted 2014-06-10",
}
@Article{Loy:2014:HSD,
author = "Adam Loy and Heike Hofmann",
title = "{{\tt HLMdiag}}: A Suite of Diagnostics for
Hierarchical Linear Models in {R}",
journal = j-J-STAT-SOFT,
volume = "56",
number = "5",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i05",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-04-15; Accepted 2013-04-24",
}
@Article{Luo:2014:MRP,
author = "Sheng Luo and Yong Chen and Xiao Su and Haitao Chu",
title = "{\tt mmeta}: An {R} Package for Multivariate
Meta-Analysis",
journal = j-J-STAT-SOFT,
volume = "56",
number = "11",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/i11",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-27; Accepted 2013-05-24",
}
@Article{Magis:2014:CSP,
author = "David Magis and Bruno Facon",
title = "Code Snippet: \pkg{deltaPlotR}: An {R} Package for
Differential Item Functioning Analysis with {Angoff}'s
Delta Plot",
journal = j-J-STAT-SOFT,
volume = "59",
number = "CS-1",
pages = "??--??",
month = aug,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/c01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-10-12; Accepted 2014-04-15",
}
@Article{Maindonald:2014:BRBa,
author = "John H. Maindonald",
title = "Book Review: {{\booktitle{Behavioral Research Data
Analysis with R}} by Yuelin Li, Jonathan Baron}",
journal = j-INT-STAT-REV,
volume = "82",
number = "1",
pages = "147--148",
month = apr,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12051_7",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 15:28:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "22 Apr 2014",
}
@Article{Maindonald:2014:BRL,
author = "John H. Maindonald",
title = "Book Review: {{\booktitle{Linear Mixed-Effects Models
Using R}} by Andrzej Galecki, Tomasz Burzykowski}",
journal = j-INT-STAT-REV,
volume = "82",
number = "2",
pages = "315--317",
month = aug,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12068_6",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Feb 11 12:18:41 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "4 Aug 2014",
}
@Article{Manukyan:2014:DPM,
author = "Art{\"u}r Manukyan and Erhan {\c{C}}ene and Ahmet
Sedef and Ibrahim Demir",
title = "Dandelion plot: a method for the visualization of
{R}-mode exploratory factor analyses",
journal = j-COMP-STAT,
volume = "29",
number = "6",
pages = "1769--1791",
month = dec,
year = "2014",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-014-0518-x",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:46 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-014-0518-x",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Marchi:2014:ABD,
author = "Max Marchi and Jim Albert",
title = "Analyzing baseball data with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xvii + 333",
year = "2014",
ISBN = "1-4665-7022-9 (paperback)",
ISBN-13 = "978-1-4665-7022-1 (paperback)",
LCCN = "GV877 .M353 2014",
bibdate = "Sat Feb 14 09:03:19 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "R series",
URL = "http://images.tandf.co.uk/common/jackets/websmall/978146657/9781466570221.jpg",
abstract = "Baseball has always had a fascination with statistics.
Schwarz (2005) documents the quantitative measurements
of teams and players since the beginning of
professional baseball history in the 19th century.
Since the foundation of the Society of Baseball
Research in 1971, an explosion of new measures have
been developed for understanding offensive and
defensive contributions of players. One can learn much
about the current developments in saber metrics by
viewing articles at websites such as
www.baseballprospectus.com, www.hardballtimes.com, and
www.fangraphs.com. The quantity and detail of baseball
data has exhibited remarkable growth since the birth of
the Internet. First data was collected for players and
teams for individual seasons (this type of data is what
would be displayed on the back side of a Topps baseball
data). The volunteer-run Project Scoresheet organized
the collection of play-by-play game data, and this type
of data is currently freely available at the Retrosheet
organization at www.retrosheet.org/. Since 2006,
PITCHf/x data has been measuring the speeds and
trajectories of every pitched ball, and newer types of
data are collecting the speeds and locations of batted
balls and the locations and movements of elders. The
ready availability of these large baseball datasets has
led to challenges for the baseball enthusiast
interested in answering baseball questions with these
data. It can be problematic to download and organize
the data. Standard statistical software packages may be
well-suited for working with small datasets of a
special format, but they are less helpful in merging
datasets of different types or performing particular
types of analyses, say contour graphs of pitch
locations, that are helpful for PITCHf/x data.",
acknowledgement = ack-nhfb,
subject = "Baseball; Statistics; Mathematical models; MATHEMATICS
/ Probability and Statistics / General.",
}
@Book{Marin:2014:BER,
author = "Jean-Michel Marin and Christian P. Robert",
title = "{Bayesian} essentials with {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xiv + 296",
year = "2014",
ISBN = "1-4614-8686-6 (hardcover), 1-4614-8687-4 (e-book)",
ISBN-13 = "978-1-4614-8686-2 (hardcover), 978-1-4614-8687-9
(e-book)",
ISSN = "1431-875X",
LCCN = "QA279.5 .M358 2014",
bibdate = "Sat Feb 14 09:06:19 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer Texts in Statistics",
URL = "http://www.loc.gov/catdir/enhancements/fy1410/2013950378-b.html;
http://www.loc.gov/catdir/enhancements/fy1410/2013950378-d.html;
http://www.loc.gov/catdir/enhancements/fy1410/2013950378-t.html",
abstract = "This Bayesian modeling book provides a self-contained
entry to computational Bayesian statistics. Focusing on
the most standard statistical models and backed up by
real datasets and an all-inclusive R (CRAN) package
called \pkg{bayess}, the book provides an operational
methodology for conducting Bayesian inference, rather
than focusing on its theoretical and philosophical
justifications. Readers are empowered to participate in
the real-life data analysis situations depicted here
from the beginning. The stakes are high and the reader
determines the outcome. Special attention is paid to
the derivation of prior distributions in each case and
specific reference solutions are given for each of the
models. Similarly, computational details are worked out
to lead the reader towards an effective programming of
the methods given in the book. In particular, all R
codes are discussed with enough detail to make them
readily understandable and expandable.",
acknowledgement = ack-nhfb,
subject = "Bayesian statistical decision theory; R (Computer
program language)",
tableofcontents = "User's manual \\
Normal models \\
Regression and variable selection \\
Generalized linear models \\
Capture-recapture experiments \\
Mixture models \\
Time series \\
Image analysis",
}
@Article{Mazza:2014:CSD,
author = "Angelo Mazza and Antonio Punzo",
title = "Code Snippet: {DBKGrad}: An {R} Package for Mortality
Rates Graduation by Discrete Beta Kernel Techniques",
journal = j-J-STAT-SOFT,
volume = "57",
number = "CS-2",
pages = "??--??",
month = apr,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/c02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-09-24; Accepted 2013-11-04",
}
@Article{Mazza:2014:PRP,
author = "Angelo Mazza and Antonio Punzo and Brian McGuire",
title = "\pkg{KernSmoothIRT}: An {R} Package for Kernel
Smoothing in Item Response Theory",
journal = j-J-STAT-SOFT,
volume = "58",
number = "6",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-05-08; Accepted 2014-02-10",
}
@Article{McNamara:2014:BRB,
author = "Amelia McNamara",
title = "Book Review: {{\booktitle{Dynamic Documents with R and
{\tt knitr}}}}",
journal = j-J-STAT-SOFT,
volume = "56",
number = "BR-2",
pages = "??--??",
month = jan,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Mar 5 10:15:59 MST 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v56/b02",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-01-09; Accepted 2014-01-09",
}
@Book{Mirman:2014:GCA,
author = "Daniel Mirman",
title = "Growth curve analysis and visualization using {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xviii + 170",
year = "2014",
ISBN = "1-4665-8432-7 (hardcover)",
ISBN-13 = "978-1-4665-8432-7 (hardcover)",
LCCN = "QH324.2 .M57 2014",
bibdate = "Wed Feb 11 10:52:39 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "Accessible to quantitative psychology researchers,
this book introduces growth curve analysis (GCA)
methods for applications in the behavioral sciences. It
introduces the challenges involved with this type of
data, discusses the basics of GCA, and explains how the
methods can be used to analyze the data. The book takes
a very practical approach, emphasizing visualization
and keeping mathematical details to a minimum. It
includes many real data examples from cognitive science
and social psychology and integrates R code for the
implementation of the methods. This book is intended to
be a practical, easy-to-understand guide to carrying
out growth curve analysis (multilevel regression) of
time course or longitudinal data in the behavioral
sciences, particularly cognitive science, cognitive
neuroscience, and psychology. Multilevel regression is
becoming a more and more prominent statistical tool in
the behavioral sciences and it is especially useful for
time course data, so many researchers know they should
use it, but they do not know how to use it. In
addition, analysis of individual differences
(developmental, neuropsychological, etc.) is an
important subject of behavioral science research but
many researchers don't know how to implement analysis
methods that would help them quantify individual
differences. Multilevel regression provides a
statistical framework for quantifying and analyzing
individual differences in the context of a model of the
overall group effects. There are several excellent,
detailed textbooks on multilevel regression, but I
believe that many behavioral scientists have neither
the time nor the inclination to work through those
texts. If you are one of these scientists --- if you
have time course data and want to use growth curve
analysis, but don't know how --- then this book is for
you. I have tried to avoid statistical theory and
technical jargon in favor of focusing on the concrete
issue of applying growth curve analysis to behavioral
science data and individual differences.",
acknowledgement = ack-nhfb,
subject = "Biometry; Regression analysis; R (Computer program
language); Psychometrics; MATHEMATICS / Probability and
Statistics / General",
tableofcontents = "1. Time course data \\
2. Conceptual overview of growth curve analysis \\
3. When change over time is not linear \\
4. Structuring random effects \\
5. Categorical predictors \\
6. Binary outcomes: logistic GCA \\
7. Individual differences \\
8. Complete examples",
}
@Article{Montero:2014:PRP,
author = "Pablo Montero and Jos{\'e} A. Vilar",
title = "\pkg{TSclust}: An {R} Package for Time Series
Clustering",
journal = j-J-STAT-SOFT,
volume = "62",
number = "1",
pages = "??--??",
month = dec,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v62/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-16; Accepted 2014-07-11",
}
@Article{Morina:2014:RPP,
author = "David Mori{\~n}a and Albert Navarro",
title = "The {R} Package \pkg{survsim} for the Simulation of
Simple and Complex Survival Data",
journal = j-J-STAT-SOFT,
volume = "59",
number = "2",
pages = "??--??",
month = aug,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-13; Accepted 2014-03-20",
}
@Article{Mullen:2014:CGO,
author = "Katharine M. Mullen",
title = "Continuous Global Optimization in {R}",
journal = j-J-STAT-SOFT,
volume = "60",
number = "6",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v60/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-26; Accepted 2014-08-05",
}
@Book{Munzert:2014:ADC,
author = "Simon Munzert",
title = "Automated Data Collection with {R}: a Practical Guide
to {Web} Scraping and Text Mining",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xxii + 452",
year = "2014",
ISBN = "1-118-83481-X (hardcover), 1-118-83478-X",
ISBN-13 = "978-1-118-83481-7 (hardcover), 978-1-118-83478-7",
LCCN = "QA76.9.D343 M865 2014",
bibdate = "Tue Jan 12 16:24:54 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://catalogimages.wiley.com/images/db/jimages/9781118834817.jpg",
abstract = "This book provides a unified framework of web scraping
and information extraction from text data with R for
the social sciences.",
acknowledgement = ack-nhfb,
subject = "Data mining; Automatic data collection systems; Social
sciences; Research; Data processing; R (Computer
program language); COMPUTERS / Database Management /
Data Mining.",
tableofcontents = "1 Introduction \\
1.1 Case Study: World Heritage Sites in Danger \\
1.2 Some Remarks on Web Data Quality \\
1.3 Technologies for Disseminating, Extracting and
Storing Web Data \\
1.3.1 Technologies for disseminating content on the Web
\\
1.4 Structure of the Book Part One A Primer on Web and
Data Technologies \\
2 HTML \\
2.1 Browser Presentation and Source Code \\
2.2 Syntax Rules \\
2.3 Tags and Attributes \\
2.4 Parsing Summary Further Reading Problems \\
3 XML and JSON \\
3.1 A Short Example XML Document \\
3.2 XML Syntax Rules \\
3.3 When Is an XML Document Well-formed or Valid? \\
3.4 XML Extensions and Technologies \\
3.5 XML and R in Practice \\
3.6 A Short Example JSON Document \\
3.7 JSON Syntax Rules \\
3.8 JSON and R in Practice Summary Further Reading
Problems \\
4 XPath \\
4.1 XPath - a Querying Language for Web Documents \\
4.2 Identifying Node Sets with XPath \\
4.3 Extracting Node Elements Summary Further Reading
Problems \\
5 HTTP \\
5.1 HTTP Fundamentals \\
5.2 Advanced Features of HTTP \\
5.3 Protocols beyond HTTP \\
5.4 HTTP in Action Summary Further Reading Problems \\
6 AJAX \\
6.1 JavaScript \\
6.2 XHR \\
6.3 Exploring AJAX with Web Developer Tools Summary
Further Reading Problems \\
7 SQL and Relational Databases \\
7.1 Overview and Terminology \\
7.2 Relational Databases \\
7.3 SQL: a Language to Communicate with Databases \\
7.4 Databases in Action Summary Further Reading
Problems \\
8 Regular Expressions and String Functions \\
8.1 Regular Expressions \\
8.2 String Processing \\
8.3 A Word on Character Encodings Summary Further
Reading Problems Part Two A Practical Toolbox for Web
Scraping and Text Mining \\
9 Scraping the Web \\
9.1 Retrieval Scenarios \\
9.2 Extraction Strategies \\
9.3 Web Scraping: Good Practice \\
9.4 Valuable Sources of Inspiration Summary Further
Reading Problems \\
10 Statistical Text Processing \\
10.1 The running example: classifying press releases of
the British government \\
10.2 Processing Textual Data \\
10.3 Supervised Learning Techniques \\
10.4 Unsupervised Learning Techniques Summary Further
reading \\
11 Managing Data Projects \\
11.1 Interacting with the File System \\
11.2 Processing Multiple Documents/Links \\
11.3 Organizing Scraping Procedures \\
11.4 Executing R Scripts on a Regular Basis Part Three
A Bag of Case Studies \\
12 Collaboration Networks in the U.S. Senate \\
12.1 Information on the Bills \\
12.2 Information on the Senators \\
12.3 Analyzing the network structure \\
12.4 Conclusion \\
13 Parsing Information from Semi-Structured Documents
\\
13.1 Downloding Data from the FTP Server \\
13.2 Parsing Semi-Structured Text Data \\
13.3 Visualizing station and temperature data \\
14 Predicting the \\
2014 Academy Awards using Twitter \\
14.1 Twitter APIs: Overview \\
14.2 Twitter-based Forecast of the \\
2014 Academy Awards \\
14.3 Conclusion \\
15 Mapping the Geographic Distribution of Names \\
15.1 Developing a Data Collection Strategy \\
15.2 Web Site Inspection \\
15.3 Data Retrieval and Information Extraction \\
15.4 Mapping Names \\
15.5 Automating the Process \\
15.6 Summary \\
16 Gathering Data on Mobile Phones \\
16.1 Page Exploration \\
16.2 Scraping Procedure \\
16.3 Graphical Analysis \\
16.4 Data storage \\
17 Analyzing Sentiments of Product Reviews \\
17.1 Introduction \\
17.2 Collecting the data \\
17.3 Analyzing the Data \\
17.4 Conclusion \\
References \\
Bibliography \\
Indices \\
General Index \\
Package Index \\
Function Index",
}
@Article{Munzert:2014:BRB,
author = "Simon Munzert",
title = "Book Review: {{\booktitle{XML and Web Technologies for
Data Sciences with R}}}",
journal = j-J-STAT-SOFT,
volume = "61",
number = "BR-1",
pages = "??--??",
month = oct,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/b01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-10-19; Accepted 2014-10-16",
}
@Article{Murrell:2014:BRR,
author = "Paul Murrell",
title = "Book Review: {{\booktitle{The R Student Companion}}}",
journal = j-ANZJS,
volume = "56",
number = "3",
pages = "304--304",
month = sep,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12083",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 16:30:39 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Nash:2014:BPO,
author = "John C. Nash",
title = "On Best Practice Optimization Methods in {R}",
journal = j-J-STAT-SOFT,
volume = "60",
number = "2",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v60/i02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-26; Accepted 2014-08-05",
}
@Article{Nielsen:2014:BRB,
author = "S{\o}ren Feodor Nielsen",
title = "Book Review: {{\booktitle{An introduction to analysis
of financial data with R}}}",
journal = j-J-APPL-STAT,
volume = "41",
number = "12",
pages = "2777--2778",
month = dec,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2014.913839",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Feb 10 19:23:13 MST 2015",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Book{Nolan:2014:XWT,
author = "Deborah Ann Nolan and Duncan Temple Lang",
title = "{XML} and {Web} technologies for data sciences with
{R}",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiv + 663",
year = "2014",
ISBN = "1-4614-7899-5",
ISBN-13 = "978-1-4614-7899-7",
LCCN = "QA76.76.H94 N65 2014",
bibdate = "Wed Feb 11 10:57:20 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Use R!",
URL = "http://www.loc.gov/catdir/enhancements/fy1503/2013954669-b.html;
http://www.loc.gov/catdir/enhancements/fy1503/2013954669-d.html;
http://www.loc.gov/catdir/enhancements/fy1503/2013954669-t.html",
abstract = "Web technologies are increasingly relevant to
scientists working with data, for both accessing data
and creating rich dynamic and interactive displays. The
XML and JSON data formats are widely used in Web
services, regular Web pages and JavaScript code, and
visualization formats such as SVG and KML for Google
Earth and Google Maps. In addition, scientists use HTTP
and other network protocols to scrape data from Web
pages, access REST and SOAP Web Services, and interact
with NoSQL databases and text search applications. This
book provides a practical hands-on introduction to
these technologies, including high-level functions the
authors have developed for data scientists. It
describes strategies and approaches for extracting data
from HTML, XML, and JSON formats and how to
programmatically access data from the Web. Along with
these general skills, the authors illustrate several
applications that are relevant to data scientists, such
as reading and writing spreadsheet documents both
locally and via GoogleDocs, creating interactive and
dynamic visualizations, displaying spatial-temporal
displays with Google Earth, and generating code from
descriptions of data structures to read and write data.
These topics demonstrate the rich possibilities and
opportunities to do new things with these modern
technologies. The book contains many examples and
case-studies that readers can use directly and adapt to
their own work.",
acknowledgement = ack-nhfb,
subject = "XML (Document markup language); R (Computer program
language); Web services; Electronic data processing",
tableofcontents = "Data Formats XML and JSON \\
Web Technologies, Getting Data from the Web \\
General XML Application Areas \\
Bibliography \\
General Index \\
R Function and Parameter Index \\
R Package Index \\
R Class Index \\
Colophon",
}
@Article{Nordhausen:2014:BRBb,
author = "Klaus Nordhausen",
title = "Book Review: {{\booktitle{An Introduction to
Statistical Learning --- with Applications in R}} by
Gareth James, Daniela Witten, Trevor Hastie \& Robert
Tibshirani}",
journal = j-INT-STAT-REV,
volume = "82",
number = "1",
pages = "156--157",
month = apr,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12051_19",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 15:28:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "22 Apr 2014",
}
@Article{Oberski:2014:LSR,
author = "Daniel Oberski",
title = "{{\tt lavaan.survey}}: An {R} Package for Complex
Survey Analysis of Structural Equation Models",
journal = j-J-STAT-SOFT,
volume = "57",
number = "1",
pages = "??--??",
month = mar,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i01",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-30; Accepted 2013-09-26",
}
@Article{OBrien:2014:BRF,
author = "Carl M. O'Brien",
title = "Book Review: {{\booktitle{Functional and Phylogenetic
Ecology in R}} by Nathan G. Swenson}",
journal = j-INT-STAT-REV,
volume = "82",
number = "3",
pages = "486--487",
month = dec,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12085_10",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Feb 11 12:18:42 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "6 Nov 2014",
}
@Book{Ohri:2014:RCC,
author = "Ajay Ohri",
title = "{R} for cloud computing: an approach for data
scientists",
publisher = "Springer Science+Business Media, LLC",
address = "New York, NY, USA",
pages = "xvii + 267",
year = "2014",
DOI = "https://doi.org/10.1007/978-1-4939-1702-0",
ISBN = "1-4939-1701-3",
ISBN-13 = "978-1-4939-1701-3",
LCCN = "????",
bibdate = "Tue Jan 12 16:32:12 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1413/2014950411-b.html;
http://www.loc.gov/catdir/enhancements/fy1413/2014950411-d.html;
http://www.loc.gov/catdir/enhancements/fy1413/2014950411-t.html",
acknowledgement = ack-nhfb,
tableofcontents = "Introduction \\
An Approach for Data Scientists \\
Navigating the Choices in R and Cloud Computing \\
Setting up R on the Cloud \\
Using R \\
Using R with Data and Bigger Data \\
R with Cloud APIs \\
Securing your R Cloud \\
Training Literature for Cloud Computing and R",
}
@Article{Oliveira:2014:PRP,
author = "Mar{\'\i}a Oliveira and Rosa M. Crujeiras and Alberto
Rodr{\'\i}guez-Casal",
title = "\pkg{NPCirc}: An {R} Package for Nonparametric
Circular Methods",
journal = j-J-STAT-SOFT,
volume = "61",
number = "9",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i09",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-03-29; Accepted 2014-06-03",
}
@Article{Overstall:2014:PRP,
author = "Antony M. Overstall and Ruth King",
title = "\pkg{conting}: An {R} Package for {Bayesian} Analysis
of Complete and Incomplete Contingency Tables",
journal = j-J-STAT-SOFT,
volume = "58",
number = "7",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i07",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-12; Accepted 2014-02-12",
}
@Book{PerpinanLamigueiro:2014:DTS,
author = "Oscar {Perpi{\~n}{\'a}n Lamigueiro}",
title = "Displaying time series, spatial, and space-time data
with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "vii + 200",
year = "2014",
ISBN = "1-4665-6520-9 (hardcover)",
ISBN-13 = "978-1-4665-6520-3 (hardcover)",
LCCN = "QA280 .P475 2014",
bibdate = "Mon Jun 8 10:05:32 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "This book explores methods to display time series,
spatial and spacetimedata using R, and aims to be a
synthesis of both groups providing code and detailed
information to produce high quality graphics with
practical examples. Organized into three parts, the
book covers the various visualization methods or data
characteristics. The chapters are structured as
independent units so readers can jump directly to a
certain chapter according to their needs. Dependencies
and redundancies between the set of chapters have been
conveniently signaled with cross-references.",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Data processing; R (Computer
program language); MATHEMATICS / Probability and
Statistics / General.",
tableofcontents = "I. Time series \\
II. Spatial data \\
III. Space-time data",
}
@Book{Rahlf:2014:DRV,
author = "Thomas Rahlf",
title = "{Datendesign mit R: 100 Visualisierungsbeispiele}",
publisher = "Open Source Press",
address = "M{\"u}nchen, Germany",
pages = "426",
year = "2014",
ISBN = "3-95539-094-2",
ISBN-13 = "978-3-95539-094-5",
LCCN = "????",
bibdate = "Sun Jul 26 11:29:41 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
language = "German",
subject = "R (Programm); Visualisierung",
}
@Article{Rao:2014:BRR,
author = "T Subba Rao",
title = "Book Review: {Randall Douc, Eric Moulines and David S.
Stoffer (2014) \booktitle{Nonlinear Time Series-Theory,
Methods and Applications with R Examples}. CRC Press,
UK (A Chapman and Hall Book). Texts in Statistical
Science. ISBN: 978-1-4665-0225-3 pages 531}",
journal = j-J-TIME-SER-ANAL,
volume = "35",
number = "6",
pages = "640--641",
month = nov,
year = "2014",
CODEN = "JTSADL",
DOI = "https://doi.org/10.1111/jtsa.12087",
ISSN = "0143-9782 (print), 1467-9892 (electronic)",
ISSN-L = "0143-9782",
bibdate = "Tue Mar 5 16:29:44 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Time Series Analysis",
journal-URL = "https://onlinelibrary.wiley.com/journal/14679892",
onlinedate = "11 September 2014",
}
@Article{Ritter:2014:RPM,
author = "Stephan J. Ritter and Nicholas P. Jewell and Alan E.
Hubbard",
title = "{R} Package {{\tt multiPIM}}: A Causal Inference
Approach to Variable Importance Analysis",
journal = j-J-STAT-SOFT,
volume = "57",
number = "8",
pages = "??--??",
month = apr,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i08",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-30; Accepted 2013-11-04",
}
@Article{Roman-Roman:2014:MGP,
author = "P. Rom{\'a}n-Rom{\'a}n and J. J. Serrano-P{\'e}rez and
F. Torres-Ruiz",
title = "More general problems on first-passage times for
diffusion processes: a new version of the {fptdApprox}
{R} package",
journal = j-APPL-MATH-COMP,
volume = "244",
number = "??",
pages = "432--446",
day = "1",
month = oct,
year = "2014",
CODEN = "AMHCBQ",
ISSN = "0096-3003 (print), 1873-5649 (electronic)",
ISSN-L = "0096-3003",
bibdate = "Sat Aug 16 10:44:29 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/applmathcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0096300314009552",
acknowledgement = ack-nhfb,
fjournal = "Applied Mathematics and Computation",
journal-URL = "http://www.sciencedirect.com/science/journal/00963003/",
}
@Article{Savitsky:2014:BSN,
author = "Terrance Savitsky and Susan Paddock",
title = "{Bayesian} Semi- and Non-Parametric Models for
Longitudinal Data with Multiple Membership Effects in
{R}",
journal = j-J-STAT-SOFT,
volume = "57",
number = "3",
pages = "??--??",
month = mar,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i03",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-04-16; Accepted 2013-09-23",
}
@TechReport{Schiesser:2014:ICM,
author = "William E. Schiesser",
title = "An Introductory Comparison of {Matlab} and {R}:
Applications to Ordinary and Partial Differential
Equations",
type = "Report",
institution = "Lehigh University",
address = "Bethlehem, PA 18105, USA",
pages = "48",
day = "15",
month = jan,
year = "2014",
bibdate = "Tue Mar 13 17:20:16 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.lehigh.edu/~wes1/R_PDE/R-Matlab_compare.pdf",
acknowledgement = ack-nhfb,
}
@Article{Sengupta:2014:BRBa,
author = "Arindam Sengupta",
title = "Book Review: {{\booktitle{A Tiny Handbook on R}} by
Mike Allerhand}",
journal = j-INT-STAT-REV,
volume = "82",
number = "1",
pages = "156--156",
month = apr,
year = "2014",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12051_18",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Jun 18 15:28:40 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "22 Apr 2014",
}
@Article{Sridharan:2014:PRC,
author = "Shriram Sridharan and Jignesh M. Patel",
title = "Profiling {R} on a contemporary processor",
journal = j-PROC-VLDB-ENDOWMENT,
volume = "8",
number = "2",
pages = "173--184",
month = oct,
year = "2014",
CODEN = "????",
ISSN = "2150-8097",
ISSN-L = "2150-8097",
bibdate = "Mon Feb 9 18:24:34 MST 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/vldbe.bib",
abstract = "R is a popular data analysis language, but there is
scant experimental data characterizing the run-time
profile of R programs. This paper addresses this
limitation by systematically cataloging where time is
spent when running R programs. Our evaluation using
four different workloads shows that when analyzing
large datasets, R programs (a) spend more than 85\% of
their time in processor stalls, which leads to slower
execution times, (b) trigger the garbage collector
frequently, which leads to higher memory stalls, and
(c) create a large number of unnecessary temporary
objects that causes R to swap to disk quickly even for
datasets that are far smaller than the available main
memory. Addressing these issues should allow R programs
to run faster than they do today, and allow R to be
used for analyzing even larger datasets. As outlined in
this paper, the results presented in this paper
motivate a number of future research investigations in
the database, architecture, and programming language
communities. All data and code that is used in this
paper (which includes the R programs, and changes to
the R source code for instrumentation) can be found at:
{\tt http://quickstep.cs.wisc.edu/dissecting-R/}.",
acknowledgement = ack-nhfb,
fjournal = "Proceedings of the VLDB Endowment",
journal-URL = "http://portal.acm.org/citation.cfm?id=J1174",
}
@Article{Subirana:2014:BBT,
author = "Isaac Subirana and H{\'e}ctor Sanz and Joan Vila",
title = "Building Bivariate Tables: The {{\tt compareGroups}}
Package for {R}",
journal = j-J-STAT-SOFT,
volume = "57",
number = "12",
pages = "??--??",
month = may,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 16 11:01:52 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v57/i12",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Software",
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-05-25; Accepted 2013-10-03",
}
@Book{Taeger:2014:SHT,
author = "Dirk Taeger",
title = "Statistical hypothesis testing with {SAS} and {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "308 (est.)",
year = "2014",
DOI = "https://doi.org/10.1002/9781118762585",
ISBN = "1-119-95021-X (hardcover), 1-118-76260-6 (PDF),
1-118-76258-4, 1-118-76261-4 (ePub), 1-306-32264-2",
ISBN-13 = "978-1-119-95021-9 (hardcover), 978-1-118-76260-8
(PDF), 978-1-118-76258-5, 978-1-118-76261-5 (ePub),
978-1-306-32264-5",
LCCN = "QA277",
bibdate = "Tue Jan 12 16:29:19 MST 2016",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
subject = "Statistical hypothesis testing; SAS (Computer program
language); R (Computer program language)",
tableofcontents = "Preface \\
Part I Introduction \\
Chapter 1 Statistical hypothesis testing \\
1.1 Theory of statistical hypothesis testing \\
1.2 Testing statistical hypothesis with SAS and R \\
1.2.1 Programming philosophy of SAS and R \\
1.2.2 Testing in SAS and R --- An example \\
1.2.3 Calculating p-values \\
1.3 Presentation of the statistical tests \\
References \\
Part II Normal Distribution \\
Chapter 2 Tests on the mean \\
2.1 One-sample tests \\
2.1.1 z-test \\
2.1.2 t-test \\
2.2 Two-sample tests \\
2.2.1 Two-sample z-test \\
2.2.2 Two-sample pooled t-test \\
2.2.3 Welch test \\
2.2.4 Paired z-test \\
2.2.5 Paired t-test \\
References \\
Chapter 3 Tests on the variance \\
3.1 One-sample tests \\
3.1.1 x2-test on the variance (mean known) \\
3.1.2 x2-test on the variance (mean unknown) \\
3.2 Two-sample tests \\
3.2.1 Two-sample F-test on variances of two populations
\\
3.2.2 t-test on variances of two dependent populations
\\
References \\
Part III Binomial Distribution \\
Chapter 4 Tests on proportions \\
4.1 One-sample tests \\
4.1.1 Binomial test \\
4.2 Two-sample tests \\
4.2.1 z-test for the difference of two proportions
(unpooled variances) \\
4.2.2 z-test for the equality between two proportions
(pooled variances)4.3 K-sample tests \\
4.3.1 K-sample binomial test \\
References \\
Part IV Other Distributions \\
Chapter 5 Poisson distribution \\
5.1 Tests on the Poisson parameter \\
5.1.1 z-test on the Poisson parameter \\
5.1.2 Exact test on the Poisson parameter \\
5.1.3 z-test on the difference between two Poisson
parameters \\
References \\
Chapter 6 Exponential distribution \\
6.1 Test on the parameter of an exponential
distribution \\
6.1.1 z-test on the parameter of an exponential
distribution \\
Reference \\
Part V Correlation \\
Chapter 7 Tests on association \\
7.1 One-sample tests \\
7.1.1 Pearson's product moment correlation coefficient
\\
7.1.2 Spearman's rank correlation coefficient \\
7.1.3 Partial correlation \\
7.2 Two-sample tests \\
7.2.1 z-test for two correlation coefficients
(independent populations) \\
References \\
Part VI Nonparametric Tests \\
Chapter 8 Tests on location \\
8.1 One-sample tests \\
8.1.1 Sign test \\
8.1.2 Wilcoxon signed-rank test \\
8.2 Two-sample tests \\
8.2.1 Wilcoxon rank-sum test (Mann--Whitney U test) \\
8.2.2 Wilcoxon matched-pairs signed-rank test \\
8.3 K-sample tests \\
8.3.1 Kruskal--Wallis test \\
References \\
Chapter 9 Tests on scale difference \\
9.1 Two-sample tests \\
9.1.1 Siegel--Tukey test \\
9.1.2 Ansari--Bradley test \\
9.1.3 Mood test \\
References \\
Chapter 10 Other tests \\
10.1 Two-sample tests \\
10.1.1 Kolmogorov--Smirnov two-sample test (Smirnov
test) \\
References \\
Part VII Goodness-of-Fit Tests \\
Chapter 11 Tests on normality \\
11.1 Tests based on the EDF \\
11.1.1 Kolmogorov--Smirnov test (Lilliefors test for
normality) \\
11.1.2 Anderson--Darling test \\
11.1.3 Cram{\'e}r--von Mises test \\
11.2 Tests not based on the EDF \\
11.2.1 Shapiro--Wilk test \\
11.2.2 Jarque--Bera test \\
References \\
Chapter 12 Tests on other distributions \\
12.1 Tests based on the EDF",
}
@Article{Thiele:2014:RMN,
author = "Jan C. Thiele",
title = "{R} Marries {NetLogo}: Introduction to the
\pkg{RNetLogo} Package",
journal = j-J-STAT-SOFT,
volume = "58",
number = "2",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-01-11; Accepted 2014-01-21",
}
@Article{Thomas:2014:CST,
author = "Laine Thomas and Eric M. Reyes",
title = "Code Snippet: Tutorial: Survival Estimation for {Cox}
Regression Models with Time-Varying Coefficients Using
{SAS} and {R}",
journal = j-J-STAT-SOFT,
volume = "61",
number = "CS-1",
pages = "??--??",
month = oct,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
URL = "http://www.jstatsoft.org/v61/c01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-09-28; Accepted 2014-06-06",
}
@Article{Tingley:2014:PRP,
author = "Dustin Tingley and Teppei Yamamoto and Kentaro Hirose
and Luke Keele and Kosuke Imai",
title = "\pkg{mediation}: {R} Package for Causal Mediation
Analysis",
journal = j-J-STAT-SOFT,
volume = "59",
number = "5",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v59/i05",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-06-04; Accepted 2014-04-17",
}
@Article{Tsagris:2014:BRB,
author = "Michail Tsagris",
title = "Book Review: {{\booktitle{Statistics through
resampling methods and R}}, second edition}",
journal = j-J-APPL-STAT,
volume = "41",
number = "12",
pages = "2780--2781",
month = dec,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2014.914130",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Feb 10 19:23:13 MST 2015",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Book{Tsay:2014:MTS,
author = "Ruey S. Tsay",
title = "Multivariate time series analysis: with {R} and
financial applications",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "First",
pages = "xvii + 492",
year = "2014",
ISBN = "1-118-61790-8 (hardcover), 1-118-61775-4 (e-book),
1-118-61776-2 (e-book), 1-118-61779-7 (e-book),
1-306-25450-7 (MyiLibrary)",
ISBN-13 = "978-1-118-61790-8 (hardcover), 978-1-118-61775-5
(e-book), 978-1-118-61776-2 (e-book), 978-1-118-61779-3
(e-book), 978-1-306-25450-2 (MyiLibrary)",
LCCN = "QA280 .T73 2013",
bibdate = "Fri Jul 25 06:46:29 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Wiley series in probability and statistics",
abstract = "Since the publication of his first book,
\booktitle{Analysis of Financial Time Series}, Ruey
Tsay has become one of the most influential and
prominent experts on the topic of time series.
Different from the traditional and oftentimes complex
approach to multivariate (MV) time series, this sequel
book emphasizes structural specification, which results
in simplified parsimonious VARMA modeling and, hence,
eases comprehension. Through a fundamental balance
between theory and applications, the book supplies
readers with an accessible approach to financial
econometric models and their applications to real-world
empirical research. The book utilizes the freely
available R software package to explore complex data
and illustrate related computation and analyses in a
user-friendly way. An author-maintained website
features additional data sets in R, Matlab and Stata
scripts so readers can create their own simulations and
test their comprehension of the presented techniques.",
acknowledgement = ack-nhfb,
author-dates = "1951--",
subject = "Time-series analysis; Multivariate analysis; R
(Computer program language); Finance; Econometric
models",
}
@Article{Varadhan:2014:NOR,
author = "Ravi Varadhan",
title = "Numerical Optimization in {R}: Beyond \pkg{optim}",
journal = j-J-STAT-SOFT,
volume = "60",
number = "1",
pages = "??--??",
month = sep,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:32 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v60/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-09-15; Accepted 2014-09-15",
}
@Book{Verzani:2014:URI,
author = "John Verzani",
title = "Using {R} for introductory statistics",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xvii + 502",
year = "2014",
ISBN = "1-4665-9073-4 (hardcover)",
ISBN-13 = "978-1-4665-9073-1 (hardcover)",
LCCN = "QA276.4 .V47 2014",
bibdate = "Thu Jul 21 06:04:32 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "The second edition of a bestselling textbook,
\booktitle{Using R for Introductory Statistics} guides
students through the basics of R, helping them overcome
the sometimes steep learning curve. The author does
this by breaking the material down into small,
task-oriented steps. The second edition maintains the
features that made the first edition so popular, while
updating data, examples, and changes to R in line with
the current version. See What's New in the Second
Edition: Increased emphasis on more idiomatic R
provides a grounding in the functionality of base R.
Discussions of the use of RStudio helps new \ldots{}",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; R (Computer program
language); Statistics as Topic; Mathematical Computing;
R (Computer program language); Data processing.;
Datenverarbeitung.; R.; Statistik.; Statistieken.",
tableofcontents = "1. Getting started \\
2. Univariate data \\
3. Bivariate data \\
4. Multivariate data \\
5. Multivariate graphics \\
6. Populations \\
7. Statistical inference \\
8. Confidence intervals \\
9. Significance tests \\
10. Goodness of fit \\
11. Linear regression \\
12. Analysis of variance \\
13. Extensions of the linear model \\
A Programming",
}
@Article{Veytsman:2014:BRD,
author = "Boris Veytsman",
title = "Book review: {{\it Dynamic Documents with R and
\pkg{knitr}}, by Yihui Xie}",
journal = j-TUGboat,
volume = "35",
number = "1",
pages = "115--119",
year = "2014",
ISSN = "0896-3207",
ISSN-L = "0896-3207",
bibdate = "Sat May 23 10:53:04 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/index-table-t.html#tugboat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/tugboat.bib",
URL = "http://www.tug.org/TUGboat/tb35-1/tb109reviews-xie.pdf",
acknowledgement = ack-bnb # " and " # ack-nhfb,
issue = "109",
journal-URL = "http://www.tug.org/TUGboat/",
}
@Book{Weihs:2014:FSA,
author = "Claus Weihs and Olaf Mersmann and Uwe Ligges",
title = "Foundations of statistical algorithms: with reference
to {R} packages",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxv + 473",
year = "2014",
ISBN = "1-4398-7885-4 (hardcover)",
ISBN-13 = "978-1-4398-7885-9 (hardcover)",
LCCN = "QA276.4 .W45 2014",
bibdate = "Sun Jul 26 11:17:32 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC computational science series",
abstract = "Reviewing the historical development of basic
algorithms to illuminate the evolution of today's more
powerful statistical algorithms, this comprehensive
textbook emphasizes recurring themes in all statistical
algorithms including computation, assessment and
verification, iteration, intuition, randomness,
repetition and parallelization, and scalability. Unique
in scope, it touches on topics not usually covered in
similar books, namely, systematic verification and the
scaling of many established techniques to very large
databases. Broadly accessible, it offers examples,
exercises, and selected solutions in each chapter as
well as access to a supplementary website.",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; Algorithms; MATHEMATICS /
Probability and Statistics / General.",
tableofcontents = "2.1. Motivation and History \\
2.1.1. Preliminaries \\
2.2. Models for Computing: What Can a Computer Compute?
\\
2.2.1. Algorithms \\
2.2.1.1. Motivation and History: Models for Computing
\\
2.2.1.2. Theory: Complexity of Algorithms \\
2.2.1.3. Example: Sorting Algorithms \\
2.2.1.4. Practice and Simulation \\
2.2.2. Turing Machines \\
2.2.2.1. Motivation and History: Turing machines \\
2.2.2.2. Theory: Definition \\
2.2.2.3. Example: Addition \\
2.2.2.4. Practice and Simulation \\
2.3. Floating-Point Computations: How Does a Computer
Compute? \\
2.3.1. Motivation and History: Floating-Point
Computations \\
2.3.2. Theory: Floating-Point Operations \\
2.3.2.1. Floating-Point Addition \\
2.3.2.2. Floating-Point Multiplication \\
2.3.3. Summary and Outlook \\
2.4. Precision of Computations: How Exact Does a
Computer Compute? \\
2.4.1. Motivation and History: Rounding Errors in
Floating-Point Operations \\
2.4.2. Theory: Error Propagation --Contents note
continued: 2.4.3. Theory: Axiomatic Problems \\
2.4.4. Example: Calculation of the Empirical Variance
\\
2.4.4.1. Algorithms \\
2.4.4.2. Condition and Error Bounds \\
2.4.4.3. Shifted Data \\
2.4.4.4. An Overall Approach \\
2.4.5. Practice and Simulation \\
2.4.6. Summary and Outlook \\
2.5. Implementation in R \\
2.5.1. Sorting \\
2.5.2. Floating-Point Numbers \\
2.5.3.(Co-)Variance \\
2.6. Conclusion \\
2.7. Exercises \\
3.1. Motivation and History \\
3.1.1. Preliminaries \\
3.1.2. The Condition of the Linear Least Squares
Problem \\
3.1.3. Summary \\
3.2. Theory \\
3.2.1. LLS Solvers \\
3.2.1.1. Gram-Schmidt Method \\
3.2.1.2. Greville's Method \\
3.2.1.3. Summary \\
3.2.2. Test Data Generation \\
3.2.2.1. Nonsingular Test Matrices \\
3.2.2.2. Singular Test Matrices \\
3.2.2.3. Response Vectors \\
3.2.2.4. Summary \\
3.3. Practice and Simulation \\
3.3.1. Verification Procedure \\
3.3.2. Verification Results \\
3.3.3. Summary \\
3.4. Implementation in R \\
3.5. Conclusion \\
3.6. Exercises --Contents note continued: 4.1.
Motivation \\
4.2. Preliminaries \\
4.3. Univariate Optimization \\
4.3.1. Golden Section Search \\
4.3.2. Convergence \\
4.3.3. Faster Methods \\
4.3.4. Newton's Method \\
4.3.5. Summary \\
4.4. Multivariate Optimization \\
4.4.1. Convex Problems \\
4.4.1.1. General Structure of Iterative Algorithms \\
4.4.1.2. Coordinate Descent \\
4.4.1.3. Gradient Descent \\
4.4.1.4. Newton Algorithm \\
4.4.1.5. Quasi-Newton Methods \\
4.4.1.6. Convex Functions: Summary \\
4.4.1.7. Example: Logistic Regression \\
4.4.2. Nonconvex Problems \\
4.4.2.1. Nonlinear Least Squares (NLS) Problems \\
4.4.2.2. Example: Comparing the Algorithms \\
4.4.3. Derivative-Free Methods \\
4.4.4. Summary \\
4.5. Example: Neural Nets \\
4.5.1. Concept \\
4.5.2. Coefficient Estimation with Neural Nets \\
4.5.3. Identifiability of Neural Nets \\
4.5.4. Stimmary \\
4.6. Constrained Optimization \\
4.6.1. Equality-Constrained Optimization \\
4.6.2. Inequality-Constrained Optimization \\
4.6.2.1. Applications --Contents note continued: 4.6.3.
Linear Programming \\
4.6.3.1. Simulation \\
4.6.4. Quadratic Programming \\
4.6.5. Summary \\
4.7. Evolutionary Computing \\
4.7.1. Simulated Annealing \\
4.7.2. Evolutionary Strategies \\
4.7.2.1. Desirabilities Example \\
4.7.2.2. Maximum-Likelihood Example \\
4.7.3. Summary \\
4.8. Implementation in R \\
4.9. Conclusion \\
4.10. Exercises \\
5.1. PLS - from Algorithm to Optimality \\
5.1.1. Motivation and History \\
5.1.2. NIPALS Algorithm \\
5.1.3. Covariance Optimality \\
5.1.4. PLS Method: Examples \\
5.1.5. PLS Method: Summary and Outlook \\
5.2. EM Algorithm \\
5.2.1. Motivation and Introduction \\
5.2.2. Definition and Convergence \\
5.2.3. Example: Mixture of Gaussians \\
5.2.4. Example: $k$-means Clustering \\
5.2.5. EM Algorithm: Summary and Outlook \\
5.2.5.1. Summary \\
5.3. Implementation in R \\
5.3.1. PLS \\
5.3.2. EM Algorithm \\
5.4. Conclusion \\
5.5. Exercises \\
6.1. Motivation and History \\
6.1.1. Preliminaries \\
6.2. Theory: Univariate Randomization --Contents note
continued: 6.2.1. Introduction \\
6.2.2. Uniform Distribution \\
6.2.2.1. Multiply-with-Carry Generators \\
6.2.2.2. Overview of Other Generators \\
6.2.2.3. Empirical Tests on Randomness \\
6.2.3. Test Suites for Random Number Generators \\
6.2.3.1. Unrecommended Generator \\
6.2.3.2. Recommended Generators \\
6.2.4. Other Distributions \\
6.2.4.1. Bernoulli Distribution \\
6.2.4.2. Binomial Distribution \\
6.2.4.3. Hypergeometrical Distribution \\
6.2.4.4. Poisson Distribution \\
6.2.4.5. Waiting Time Distributions \\
6.2.5. Continuous Distributions \\
6.2.5.1. Continuous Uniform Distribution \\
6.2.5.2. Triangular Distribution \\
6.2.5.3. Normal Distribution \\
6.2.5.4. Mixture of Distributions \\
6.2.5.5. Exponential Distribution \\
6.2.5.6. Lognormal Distribution \\
6.2.6. Summary \\
6.3. Theory: Multivariate Randomization \\
6.3.1. Motivation and Overview \\
6.3.2. Rejection Method \\
6.3.3. Gibbs Algorithm \\
6.3.3.1. Finite Case \\
6.3.3.2. Continuous Case --Contents note continued:
6.3.3.3. When Does Gibbs Sampling Converge? \\
6.3.4. Metropolis-Hastings Method \\
6.3.4.1. Finite Case \\
6.3.4.2. Continuous Case \\
6.3.4.3. Possible Transition Functions \\
6.3.4.4. Implementation of the Metropolis-Hastings
Algorithm \\
6.3.4.5. Convergence Rate \\
6.3.4.6. Rejection Method and Independence Chain MCMC
\\
6.3.5. Summary \\
6.3.6. Simple Example \\
6.4. Practice and Simulation: Stochastic Modeling \\
6.4.1. Polyphonic Music Data \\
6.4.2. Modeling \\
6.4.3. Model Fit by Means of MCMC Methods \\
6.4.4. BUGS Implementation \\
6.4.5. Summary \\
6.5. Implementation in R \\
6.6. Conclusion \\
6.7. Exercises \\
7.1. Motivation and Overview \\
7.1.1. Preliminaries \\
7.2. Model Selection \\
7.2.1. General Procedure \\
7.2.2. Model Selection in Supervised Learning \\
7.2.2.1. Resampling in Simulation \\
7.2.2.2. Resampling for Competition Data \\
7.2.2.3. Resampling in Practice \\
7.2.3. Resampling Methods \\
7.2.3.1. Cross-Validation \\
7.2.3.2. Bootstrap --Contents note continued: 7.2.3.3.
Subsampling \\
7.2.3.4. Further Resampling Methods \\
7.2.3.5. Properties and Recommendations \\
7.2.4. Feature Selection \\
7.2.5. Hyperparameter Tuning \\
7.2.6. Summary \\
7.3. Model Selection in Classification \\
7.3.1. The Classification Problem \\
7.3.2. Classification Evaluation \\
7.3.3. Simulation: Comparison of Error Rate Estimators
\\
7.3.4. Example: Discrimination of Piano and Guitar \\
7.3.4.1. Groups of Features \\
7.3.4.2. Feature Selection Results \\
7.3.4.3. Hyperparameter Tuning Results \\
7.3.5. Summary \\
7.4. Model Selection in Continuous Models \\
7.4.1. Theory: Nonlinear Prediction \\
7.4.2. Model Selection in Neural Nets: Size of Hidden
Layer \\
7.4.3. Model Selection for PLS: Selection of Latent
Variables \\
7.4.4. Summary \\
7.5. Implementation in R \\
7.6. Conclusion \\
7.7. Exercises \\
8.1. Introduction \\
8.2. Motivation and History \\
8.2.1. Motivation \\
8.2.2. Early Years \\
8.2.2.1. Hardware \\
8.2.2.2. Software \\
8.2.3. Recent History --Contents note continued: 8.2.4.
Summary \\
8.3. Optimization \\
8.3.1. Examples in R \\
8.3.2. Guidelines \\
8.3.3. Summary \\
8.4. Parallel Computing \\
8.4.1. Potential \\
8.4.2. Setting \\
8.4.3. Data Parallel Computing \\
8.4.3.1. Example: $k$-means Clustering \\
8.4.3.2. Summary and Outlook \\
8.4.4. Task Parallel Computing \\
8.4.5. Modern Paradigms \\
8.4.6. Summary \\
8.5. Implementation in R \\
8.6. Conclusion \\
8.7. Exercises",
}
@Book{Weisberg:2014:ALR,
author = "Sanford Weisberg",
title = "Applied linear regression",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Fourth",
pages = "xvii + 340",
year = "2014",
ISBN = "1-118-38608-6 (hardcover)",
ISBN-13 = "978-1-118-38608-8 (hardcover)",
LCCN = "QA278.2 .W44 2014",
bibdate = "Mon Mar 10 07:50:25 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Wiley series in probability and statistics",
abstract = "Providing a coherent set of basic methodology for
applied linear regression without being encyclopedic,
the fourth edition of Applied Linear Regression is
thoroughly updated to help students master the theory
and applications of linear regression modeling.
Focusing on model building, assessing fit and
reliability, and drawing conclusions, the text
demonstrates how to develop estimation, confidence, and
testing procedures primarily through the use of least
squares regression. To facilitate quick learning, this
updated edition stresses the use of graphical methods
in an effort to find appropriate models and to better
understand them.",
acknowledgement = ack-nhfb,
keywords = "alr4 (R-package); car (R-package); effects
(R-package); lsmeans (R-package); nlme (R-package); R",
remark = "Previous edition 2005.",
subject = "Regression analysis; MATHEMATICS / Probability and
Statistics / Regression Analysis.; MATHEMATICS /
Probability and Statistics / General.; MATHEMATICS /
Applied; Linear models (Statistics)",
}
@Article{White:2014:PRP,
author = "Arthur White and Thomas Brendan Murphy",
title = "\pkg{BayesLCA}: An {R} Package for {Bayesian} Latent
Class Analysis",
journal = j-J-STAT-SOFT,
volume = "61",
number = "13",
pages = "??--??",
month = nov,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v61/i13",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-06-13; Accepted 2014-07-11",
}
@Article{Wiley:2014:BRG,
author = "Joshua F. Wiley",
title = "Book Review: {{\em Growth Curve Analysis and
Visualization Using R}}",
journal = j-J-STAT-SOFT,
volume = "58",
number = "BR-2",
pages = "??--??",
month = jul,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/b02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-06-26; Accepted 2014-06-26",
}
@Book{Willekens:2014:MAL,
author = "Frans Willekens",
title = "Multistate analysis of life histories with {R}",
publisher = pub-SV,
address = pub-SV:adr,
year = "2014",
DOI = "https://doi.org/10.1007/978-3-319-08383-4",
ISBN = "3-319-08383-X (e-book), 3-319-08382-1 (print)",
ISBN-13 = "978-3-319-08383-4 (e-book), 978-3-319-08382-7,
978-3-319-08382-7 (print)",
LCCN = "QA276.45.R3",
bibdate = "Sun Aug 2 10:19:07 MDT 2015",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Use R!",
abstract = "This book provides an introduction to multistate event
history analysis. It is an extension of survival
analysis, in which a single terminal event (endpoint)
is considered and the time-to-event is studied.
Multistate models focus on life histories or
trajectories, conceptualized as sequences of states and
sequences of transitions between states. Life histories
are modeled as realizations of continuous-time Markov
processes. The model parameters, transition rates, are
estimated from data on event counts and populations at
risk, using the statistical theory of counting
processes. The Comprehensive R Network Archive (CRAN)
includes several packages for multistate modeling. This
book is about Biograph. The package is designed to (a)
enhance exploratory analysis of life histories and (b)
make multistate modeling accessible. The package
incorporates utilities that connect to several packages
for multistate modeling, including survival, eha, Epi,
mvna, etm, mstate, msm, and TraMineR for sequence
analysis. The book is a `hands-on' presentation of
Biograph and the packages listed. It is written from
the perspective of the user. To help the user master
the techniques and the software, a single data set is
used to illustrate the methods and software. It is the
subsample of the German Life History Survey, which was
also used by Blossfeld and Rohwer in their popular
textbook on event history modeling. Another data set,
the Netherlands Family and Fertility Survey, is used to
illustrate how Biograph can assist in answering
questions on life paths of cohorts and individuals. The
book is suitable as a textbook for graduate courses on
event history analysis and introductory courses on
competing risks and multistate models. It may also be
used as a self-study book. The R code used in the book
is available online. Frans Willekens is affiliated with
the Max Planck Institute for Demographic Research
(MPIDR) in Rostock, Germany. He is Emeritus Professor
of Demography at the University of Groningen, a
Honorary Fellow of the Netherlands Interdisciplinary
Demographic Institute (NIDI) in the Hague, and a
Research Associate of the International Institute for
Applied Systems Analysis (IIASA), Laxenburg, Austria.
He has contributed to the modeling and simulation of
life histories, mainly in the context of population
forecasting.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Electronic data
processing; COMPUTERS / Programming Languages /
General; Electronic data processing.; R (Computer
program language)",
tableofcontents = "Introduction \\
Life Histories: Real and Synthetic \\
The Biograph Object \\
Exploratory Data Analysis \\
Visualization of Event Histories and State Sequences
\\
Statistical Packages for Multistate Event History
Analysis \\
The Multistate Life Table \\
Application to Netherlands Family and Fertility Survey
\\
Summary \\
Annexes",
}
@Article{Yee:2014:RCI,
author = "Thomas W. Yee and Alfian F. Hadi",
title = "Row-column interaction models, with an {R}
implementation",
journal = j-COMP-STAT,
volume = "29",
number = "6",
pages = "1427--1445",
month = dec,
year = "2014",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-014-0499-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:46 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-014-0499-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Zeileis:2014:FGL,
author = "Achim Zeileis and Nikolaus Umlauf and Friedrich
Leisch",
title = "Flexible Generation of E-Learning Exams in {R}:
{Moodle} Quizzes, {OLAT} Assessments, and Beyond",
journal = j-J-STAT-SOFT,
volume = "58",
number = "1",
pages = "??--??",
month = jun,
year = "2014",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:31 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v58/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-12-20; Accepted 2013-08-29",
}
@Book{Zumel:2014:PDS,
author = "Nina Zumel and John Mount",
title = "Practical data science with {R}",
publisher = pub-MANNING,
address = pub-MANNING:adr,
pages = "xxv + 389",
year = "2014",
ISBN = "1-61729-156-0 (paperback)",
ISBN-13 = "978-1-61729-156-2 (paperback)",
LCCN = "QA276.45.R3 Z86 2014",
bibdate = "Sat Mar 11 18:06:31 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing; Data processing; R
(Computer program language)",
tableofcontents = "Part 1. Introduction to data science \\
1: The data science process \\
2: Loading data into R \\
3: Exploring data \\
4: Managing data \\
Part 2. Modelling methods \\
5: Choosing and evaluating models \\
6: Memorization methods \\
7: Linear and logistic regression \\
8: Unsupervised methods \\
9: Exploring advanced methods \\
Part 3. Delivering results \\
10: Documentation and deployment \\
11: Producing effective presentations \\
Appendix A: Working with R and other tools \\
Appendix B: Important statistical concepts \\
Appendix C: More tools and ideas worth exploring \\
Bibliography \\
Index",
}
@Article{Alberti:2015:CRP,
author = "Gianmarco Alberti",
title = "\pkg{CAinterprTools}: an {R} package to help
interpreting {Correspondence Analysis}' results",
journal = j-SOFTWAREX,
volume = "1--2",
number = "??",
pages = "19--25",
month = sep,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2015.07.001",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:29 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711015000060",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Amatya:2015:CSO,
author = "Anup Amatya and Hakan Demirtas",
title = "Code Snippet: \pkg{OrdNor}: An {R} Package for
Concurrent Generation of Correlated Ordinal and Normal
Data",
journal = j-J-STAT-SOFT,
volume = "68",
number = "CS-2",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.c02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068c02;
http://www.jstatsoft.org/index.php/jss/article/view/v068c02/v68c02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Appelhans:2015:REO,
author = "Tim Appelhans and Florian Detsch and Thomas Nauss",
title = "\pkg{remote}: Empirical Orthogonal Teleconnections in
{R}",
journal = j-J-STAT-SOFT,
volume = "65",
number = "10",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i10",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2014-02-17; Accepted 2014-10-15",
}
@Article{Bagnato:2015:CSP,
author = "Luca Bagnato and Lucio {De Capitani} and Angelo Mazza
and Antonio Punzo",
title = "Code Snippet: \pkg{SDD}: An {R} Package for Serial
Dependence Diagrams",
journal = j-J-STAT-SOFT,
volume = "64",
number = "CS-2",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/c02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-05-23; Accepted 2014-07-14",
}
@Article{Bakar:2015:SST,
author = "Khandoker Shuvo Bakar and Sujit K. Sahu",
title = "{spTimer}: Spatio-Temporal {Bayesian} Modeling Using
{R}",
journal = j-J-STAT-SOFT,
volume = "63",
number = "15",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:11 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i15",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-06-13; Accepted 2014-11-03",
}
@Article{Battauz:2015:ERP,
author = "Michela Battauz",
title = "\pkg{equateIRT}: An {R} Package for {IRT} Test
Equating",
journal = j-J-STAT-SOFT,
volume = "68",
number = "7",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068i07;
http://www.jstatsoft.org/index.php/jss/article/view/v068i07/v68i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Baumer:2015:RM,
author = "Benjamin Baumer and Dana Udwin",
title = "{R Markdown}",
journal = j-WIRES,
volume = "7",
number = "3",
pages = "167--177",
month = may # "\slash " # jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1348",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:53:07 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "27 February 2015",
}
@Book{Bilder:2015:ACD,
author = "Christopher R. Bilder and Thomas M. Loughin",
title = "Analysis of Categorical Data with {R}",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xiii + 533",
year = "2015",
ISBN = "1-4398-5567-6 (hardcover), 1-4987-0676-2 (e-book)",
ISBN-13 = "978-1-4398-5567-6 (hardcover), 978-1-4987-0676-6
(e-book)",
LCCN = "QA169 .B55 2015",
bibdate = "Sat Jun 27 09:03:19 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science",
abstract = "We live in a categorical world! From a positive or
negative disease diagnosis to choosing all items that
apply in a survey, outcomes are frequently organized
into categories so that people can more easily make
sense of them. However, analyzing data from categorical
responses requires specialized techniques beyond those
learned in a first or second course in Statistics. We o
er this book to help students and researchers learn how
to properly analyze categorical data. Unlike other
texts on similar topics, our book is a modern account
using the vastly popular R software. We use R not only
as a data analysis method but also as a learning tool.
For example, we use data simulation to help readers
understand the underlying assumptions of a procedure
and then to evaluate that procedure's performance. We
also provide numerous graphical demonstrations of the
features and properties of various analysis methods.
The focus of this book is on the analysis of data,
rather than on the mathematical development of methods.
We cover numerous examples from a wide rage of
disciplines medicine, psychology, sports, ecology, and
others and provide extensive R code and output as we
work through the examples. We give detailed advice and
guidelines regarding which procedures to use and why to
use them. While we treat likelihood methods as a tool,
they are not used blindly. For example, we write out
likelihood functions and explain how they are
maximized. We describe where Wald, likelihood ratio,
and score procedures come from. However, except in
Appendix B, where we give a general introduction to
likelihood methods, we do not frequently emphasize
calculus or carry out mathematical analysis in the
text. The use of calculus is mostly from a conceptual
focus, rather than a mathematical one''",
acknowledgement = ack-nhfb,
subject = "Categories (Mathematics); Data processing; R (Computer
program language); MATHEMATICS / Probability and
Statistics / General.",
tableofcontents = "1. Analyzing a binary response, part 1:
introduction \\
2. Analyzing a binary response, part 2: regression
models \\
3. Analyzing a multicategory response \\
4. Analyzing a count response \\
5. Model selection and evaluation \\
6. Additional topics \\
A. An introduction to R \\
B. Likelihood methods",
}
@Article{Bilodeau:2015:RPG,
author = "Martin Bilodeau and Pierre Lafaye de Micheaux and
Smail Mahdi",
title = "The {R} Package \pkg{groc} for Generalized Regression
on Orthogonal Components",
journal = j-J-STAT-SOFT,
volume = "65",
number = "1",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-07-13; Accepted 2014-10-13",
}
@Article{Bischl:2015:PPA,
author = "Bernd Bischl and Michel Lang and Olaf Mersmann and
J{\"o}rg Rahnenf{\"u}hrer and Claus Weihs",
title = "\pkg{BatchJobs} and \pkg{BatchExperiments}:
Abstraction Mechanisms for Using {R} in Batch
Environments",
journal = j-J-STAT-SOFT,
volume = "64",
number = "11",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i11",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-05-30; Accepted 2014-08-04",
}
@Article{Blaser:2015:PRP,
author = "Nello Blaser and Luisa Salazar Vizcaya and Janne
Estill and Cindy Zahnd and Bindu Kalesan and Matthias
Egger and Thomas Gsponer and Olivia Keiser",
title = "\pkg{gems}: An {R} Package for Simulating from Disease
Progression Models",
journal = j-J-STAT-SOFT,
volume = "64",
number = "10",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i10",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-02-20; Accepted 2014-07-24",
}
@Article{Boettiger:2015:BSB,
author = "Carl Boettiger and Scott Chamberlain and Edmund Hart
and Karthik Ram",
title = "Building Software, Building Community: Lessons from
the \pkg{rOpenSci} Project",
journal = j-J-OPEN-RES-SOFT,
volume = "3",
number = "1",
pages = "e8--??",
day = "16",
month = nov,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.bu",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:49 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.bu/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Brandmaier:2015:PPR,
author = "Andreas M. Brandmaier",
title = "\pkg{pdc}: An {R} Package for Complexity-Based
Clustering of Time Series",
journal = j-J-STAT-SOFT,
volume = "67",
number = "5",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067i05;
http://www.jstatsoft.org/index.php/jss/article/view/v067i05/v067i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Bunouf:2015:SPC,
author = "Pierre Bunouf and Geert Molenberghs and Jean-Marie
Grouin and Herbert Thijs",
title = "A {SAS} Program Combining {R} Functionalities to
Implement Pattern-Mixture Models",
journal = j-J-STAT-SOFT,
volume = "68",
number = "8",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068i08;
http://www.jstatsoft.org/index.php/jss/article/view/v068i08/v68i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Capanu:2015:CSB,
author = "Marinela Capanu and Mithat G{\"o}nen",
title = "Code Snippet: Building a Nomogram for Survey-Weighted
{Cox} Models Using {R}",
journal = j-J-STAT-SOFT,
volume = "64",
number = "CS-1",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/c01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2011-09-29; Accepted 2014-05-23",
}
@Article{Cebrian:2015:PRP,
author = "Ana C. Cebri{\'a}n and Jes{\'u}s Abaurrea and
Jes{\'u}s As{\'\i}n",
title = "\pkg{NHPoisson}: An {R} Package for Fitting and
Validating Nonhomogeneous {Poisson} Processes",
journal = j-J-STAT-SOFT,
volume = "64",
number = "6",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-05-07; Accepted 2014-07-15",
}
@Book{Chapman:2015:RMR,
author = "Chris Chapman",
title = "{R} for marketing research and analytics",
publisher = "Springer Science+Business Media, LLC",
address = "New York, NY",
pages = "xviii + 454",
year = "2015",
DOI = "https://doi.org/10.1007/978-3-319-14436-8",
ISBN = "3-319-14435-9 (paperback), 3-319-14436-7 (e-book)",
ISBN-13 = "978-3-319-14435-1 (paperback), 978-3-319-14436-8
(e-book)",
LCCN = "QA276.45.R3",
bibdate = "Tue Jan 12 16:43:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.loc.gov/catdir/enhancements/fy1504/2014960277-b.html;
http://www.loc.gov/catdir/enhancements/fy1504/2014960277-d.html;
http://www.loc.gov/catdir/enhancements/fy1504/2014960277-t.html",
abstract = "This book is a complete introduction to the power of R
for marketing research practitioners. The text
describes statistical models from a conceptual point of
view with a minimal amount of mathematics, presuming
only an introductory knowledge of statistics. Hands-on
chapters accelerate the learning curve by asking
readers to interact with R from the beginning. Core
topics include the R language, basic statistics, linear
modeling, and data visualization, which is presented
throughout as an integral part of analysis. Later
chapters cover more advanced topics yet are intended to
be approachable for all analysts. These sections
examine logistic regression, customer segmentation,
hierarchical linear modeling, market basket analysis,
structural equation modeling, and conjoint analysis in
R. The text uniquely presents Bayesian models with a
minimally complex approach, demonstrating and
explaining Bayesian methods alongside traditional
analyses for analysis of variance, linear models, and
metric and choice-based conjoint analysis. With its
emphasis on data visualization, model assessment, and
development of statistical intuition, this book
provides guidance for any analyst looking to develop or
improve skills in R for marketing applications.",
acknowledgement = ack-nhfb,
received = "",
tableofcontents = "Welcome to R \\
The R Language \\
Describing Data \\
Relationships Between Continuous Variables \\
Comparing Groups: Tables and Visualizations \\
Comparing Groups: Statistical Tests \\
Identifying Drivers of Outcomes: Linear Models \\
Reducing Data Complexity \\
Additional Linear Modeling Topics \\
Confirmatory Factor Analysis and Structural Equation
Modeling \\
Segmentation: Clustering and Classification \\
Association Rules for Market Basket Analysis \\
Choice Modeling \\
Conclusion \\
Appendix: R Versions and Related Software \\
Appendix: Scaling up \\
Appendix: Packages Used.",
}
@Book{Charpentier:2015:CAS,
editor = "Arthur Charpentier",
title = "Computational Actuarial Science with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxxi + 618",
year = "2015",
ISBN = "1-4665-9259-1 (hardcover)",
ISBN-13 = "978-1-4665-9259-9 (hardcover)",
LCCN = "HG8781 .C637 2014",
bibdate = "Mon Sep 28 09:05:09 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "This book aims to provide a broad introduction to
computational aspects of actuarial science, in the R
environment. We assume that the reader is either
learning, or is familiar with actuarial science. It can
be seen as a companion to standard textbooks on
actuarial science. This book is intended for various
audiences: students, researchers, and actuaries. As
explained in cite Kendrick et al. (2006) (discussing
the importance of computational economics) \our thesis
is that computational economics o ers a way to improve
this situation and to bring new life into the teaching
of economics in colleges and universities [\ldots{}]
computational economics provides an opportunity for
some students to move away from too much use of the
lecture-exam paradigm and more use of a laboratorypaper
paradigm in teaching under graduate economics. This
opens the door for more creative activity on the part
of the students by giving them models developed by
previous generations and challenging them to modify
those models. Based on the assumption that the same
holds for computational actuarial science, we decided
to publish this book. As claimed by computational
scientists, computational actuarial science might
simply refer to modern actuarial science methods.
Computational methods started probably in the 1950s
with Dwyer (1951) and von Neumann (1951). The first one
emphasized the importance of linear computations, and
the second one the importance of massive computations,
using random number generations (and Monte Carlo
methods), while (at that time) access to digital
computers was not widespread.",
acknowledgement = ack-nhfb,
subject = "Actuarial science; BUSINESS and ECONOMICS / Finance.;
MATHEMATICS / General.; MATHEMATICS / Probability and
Statistics / General.",
tableofcontents = "1. Introduction / Arthur Charpentier and Rob Kaas
\\
I. Methodology \\
2. Standard statistical inference / Christophe Dutang
\\
3. Bayesian philosophy / Benedict Escoto and Arthur
Charpentier \\
4. Statistical learning / Arthur Charpentier and
St{\'e}phane Tuff{\'e}ry \\
5. Spatial analysis / Renato Assun{\c{c}}{\"a}ao,
Marcelo Azevedo Costa, Marcos Oliveira Prates, and
Lu{\'i}s Gustavo Silva e Silva \\
6. Reinsurance and extremal events / Eric Gilleland and
Mathieu Ribatet \\
II. Life insurance \\
7. Life contingencies / Giorgio Spedicato \\
8. Prospective life tables / Heather Booth, Rob J.
Hyndman, and Leonie Tickle \\
9. Prospective mortality tables and portfolio
experience / Julien Tomas and Fr{\'e}d{\'e}ric Planchet
\\
10. Survival analysis / Fr{\'e}d{\'e}ric Planchet and
Pierre-E. Th{\'e}rond \\
III. Finance \\
11. Stock prices and time series / Yohan Chalabi and
Diethelm W{\"u}rtz \\
12. Yield curves and interest rates models / Sergio S.
Guirreri \\
13. Portfolio allocation / Yohan Chalabi and Diethelm
W{\"u}rtz \\
IV. Non-life insurance \\
14. General insurance pricing / Jean-Philippe Boucher
and Arthur Charpentier \\
15. Longitudinal data and experience rating / Katrien
Antonio, Peng Shi, and Frank van Berkum \\
16. Claims reserving and IBNR / Markus Gesmann",
}
@Article{Choi:2015:BRB,
author = "Taeryon Choi",
title = "Book Review: {{\booktitle{Bayesian networks with
examples in R}}}",
journal = j-BIOMETRICS,
volume = "71",
number = "3",
pages = "864--865",
month = sep,
year = "2015",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12369",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:36 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "17 September 2015",
}
@Book{Cichosz:2015:DMA,
author = "Pawel Cichosz",
title = "Data Mining Algorithms: Explained Using {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xxxi + 683",
year = "2015",
ISBN = "1-118-33258-X (hardcover), 1-118-95080-1 (e-book),
1-118-95084-4 (e-book), 1-118-95095-X",
ISBN-13 = "978-1-118-33258-0 (hardcover), 978-1-118-95080-7
(e-book), 978-1-118-95084-5 (e-book),
978-1-118-95095-1",
LCCN = "QA76.9.D343 C472 2015",
bibdate = "Tue Jan 12 15:58:15 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.wiley.com/WileyCDA/WileyTitle/productCd-111833258X.html",
abstract = "This book narrows down the scope of data mining by
adopting a heavily modeling-oriented perspective.",
acknowledgement = ack-nhfb,
subject = "Data mining; Computer algorithms; R (Computer program
language); MATHEMATICS / Probability and Statistics /
General.",
tableofcontents = "Part I. Preliminaries \\
1. Tasks \\
2. Basic statistics \\
Part II. Classification \\
3. Decision trees \\
4. Na{\"i}ve Bayes classifier \\
5. Linear classification \\
6. Misclassification costs \\
7. Classification model evaluation \\
Part III. Regression \\
8. Linear regression \\
9. Regression trees \\
10. Regression model evaluation \\
Part IV. Clustering \\
11. (Dis)similarity measures \\
12. k-Centers clustering \\
13. Hierarchical clustering \\
14. Clustering model evaluation \\
Part V. Getting better models \\
15. Model ensembles \\
16. Kernel methods \\
17. Attribute transformation \\
18. Discretization \\
19. Attribute selection",
}
@Article{Conde:2015:DRP,
author = "David Conde and Miguel Fern{\'a}ndez and Bonifacio
Salvador and Cristina Rueda",
title = "\pkg{dawai}: An {R} Package for Discriminant Analysis
with Additional Information",
journal = j-J-STAT-SOFT,
volume = "66",
number = "10",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066i10;
http://www.jstatsoft.org/index.php/jss/article/view/v066i10/v66i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Crawley:2015:SIU,
author = "Michael J. Crawley",
title = "Statistics: an introduction using {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
edition = "Second",
pages = "xiii + 339",
year = "2015",
ISBN = "1-118-94110-1, 1-118-94111-X (e-book), 1-118-94109-8
(e-book)",
ISBN-13 = "978-1-118-94110-2, 978-1-118-94111-9,
978-1-118-94109-6 (e-book)",
LCCN = "QA276.12; QA276.12 .C73 2015eb",
bibdate = "Tue Jan 12 16:05:52 MST 2016",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "This new edition of a bestselling title offers a
concise introduction to a broad array of statistical
methods, at a level that is elementary enough to appeal
to a wide range of disciplines. Step-by-step
instructions help the non-statistician to fully
understand the methodology. The book covers the full
range of statistical techniques likely to be needed to
analyse the data from research projects, including
elementary material like $t$-tests and chi-squared
tests, intermediate methods like regression and
analysis of variance, and more advanced techniques like
generalized linear modelling.",
acknowledgement = ack-nhfb,
tableofcontents = "1: Fundamentals / 1 \\
Everything Varies / 2 \\
Significance / 3 \\
Good and Bad Hypotheses / 3 \\
Null Hypotheses / 3 \\
$p$ Values / 4 \\
Interpretation / 4 \\
Model Choice / 4 \\
Statistical Modelling / 5 \\
Maximum Likelihood / 6 \\
Experimental Design / 7 \\
The Principle of Parsimony (Occam's Razor) / 8 \\
Observation, Theory and Experiment / 8 \\
Controls / 8 \\
Replication: It's the ns that Justify the Means / 8 \\
How Many Replicates? / 9 \\
Power / 9 \\
Randomization / 10 \\
Strong Inference / 14 \\
Weak Inference / 14 \\
How Long to Go On? / 14 \\
Pseudoreplication / 15 \\
Initial Conditions / 16 \\
Orthogonal Designs and Non-Orthogonal Observational
Data / 16 \\
Aliasing / 16 \\
Multiple Comparisons / 17 \\
Summary of Statistical Models in R / 18 \\
Organizing Your Work / 19 \\
Housekeeping within R / 20 \\
References / 22 \\
Further Reading / 22 \\
2: Dataframes / 23 \\
Selecting Parts of a Dataframe: Subscripts / 26 \\
Sorting / 27 \\
Summarizing the Content of Dataframes / 29 \\
Summarizing by Explanatory Variables / 30 \\
First Things First: Get to Know Your Data / 31 \\
Relationships / 34 \\
Looking for Interactions between Continuous Variables /
36 \\
Graphics to Help with Multiple Regression / 39 \\
Interactions Involving Categorical Variables / 39 \\
Further Reading / 41 \\
3: Central Tendency / 42 \\
Further Reading / 49 \\
4: Variance / 50 \\
Degrees of Freedom / 53 \\
Variance / 53 \\
Variance: A Worked Example / 55 \\
Variance and Sample Size / 58 \\
Using Variance / 59 \\
A Measure of Unreliability / 60 \\
Confidence Intervals / 61 \\
Bootstrap / 62 \\
Non-constant Variance: Heteroscedasticity / 65 \\
Further Reading / 65 \\
5: Single Samples / 66 \\
Data Summary in the One-Sample Case / 66 \\
The Normal Distribution / 70 \\
Calculations Using $z$ of the Normal Distribution / 76
\\
Plots for Testing Normality of Single Samples / 79 \\
inference in the One-Sample Case / 81 \\
Bootstrap in Hypothesis Testing with Single Samples /
81 \\
Student's $t$ Distribution / 82 \\
Higher-Order Moments of a Distribution / 83 \\
Skew / 84 \\
Kurtosis / 86 \\
Reference / 87 \\
Further Reading / 87 \\
6: Two Samples / 88 \\
Comparing Two Variances / 88 \\
Comparing Two Means / 90 \\
Student's $t$ Test / 91 \\
Wilcoxon Rank-Sum Test / 95 \\
Tests on Paired Samples / 97 \\
The Binomial Test / 98 \\
Binomial Tests to Compare Two Proportions / 100 \\
Chi-Squared Contingency Tables / 100 \\
Fisher's Exact Test / 105 \\
Correlation and Covariance / 108 \\
Correlation and the Variance of Differences between
Variables / 110 \\
Scale-Dependent Correlations / 112 \\
Reference / 113 \\
Further Reading / 113 \\
7: Regression / 114 \\
Linear Regression / 116 \\
Linear Regression in R / 117 \\
Calculations Involved in Linear Regression / 122 \\
Partitioning Sums of Squares in Regression: SSY = SSR +
SSE / 125 \\
Measuring the Degree of Fit, r2 / 133 \\
Model Checking / 134 \\
Transformation / 135 \\
Polynomial Regression / 140 \\
Non-Linear Regression / 142 \\
Generalized Additive Models / 146 \\
Influence / 148 \\
Further Reading / 149 \\
8: Analysis of Variance / 150 \\
One-Way ANOVA / 150 \\
Shortcut Formulas / 157 \\
Effect Sizes / 159 \\
Plots for Interpreting One-Way ANOVA / 162 \\
Factorial Experiments / 168 \\
Pseudoreplication: Nested Designs and Split Plots / 173
\\
Split-Plot Experiments / 174 \\
Random Effects and Nested Designs / 176 \\
Fixed or Random Effects? / 177 \\
Removing the Pseudoreplication / 178 \\
Analysis of Longitudinal Data / 178 \\
Derived Variable Analysis / 179 \\
Dealing with Pseudoreplication / 179 \\
Variance Components Analysis (VCA) / 183 \\
References / 184 \\
Further Reading / 184 \\
Further Reading \\
9: Analysis of Covariance / 185 \\
Further Reading / 192 \\
10: Multiple Regression / 193 \\
The Steps Involved in Model Simplification / 195 \\
Caveats / 196 \\
Order of Deletion / 196 \\
Carrying Out a Multiple Regression / 197 \\
A Trickier Example / 203 \\
Further Reading / 211 \\
11: Contrasts / 212 \\
Contrast Coefficients / 213 \\
An Example of Contrasts in R / 214 \\
A Priori Contrasts / 215 \\
Treatment Contrasts / 216 \\
Model Simplification by Stepwise Deletion / 218 \\
Contrast Sums of Squares by Hand / 222 \\
The Three Kinds of Contrasts Compared / 224 \\
Reference / 225 \\
Further Reading / 225 \\
12: Other Response Variables / 226 \\
Introduction to Generalized Linear Models / 228 \\
The Error Structure / 229 \\
The Linear Predictor / 229 \\
Fitted Values / 230 \\
A General Measure of Variability / 230 \\
The Link Function / 231 \\
Canonical Link Functions / 232 \\
Akaike's Information Criterion (AIC) as a Measure of
the Fit of a Model / 233 \\
Further Reading / 233 \\
13: Count Data / 234 \\
A Regression with Poisson Errors / 234 \\
Analysis of Deviance with Count Data / 237 \\
The Danger of Contingency Tables / 244 \\
Analysis of Covariance with Count Data / 247 \\
Frequency Distributions / 250 \\
Further Reading / 255 \\
14: Proportion Data / 256 \\
Analyses of Data on One and Two Proportions / 257 \\
Averages of Proportions / 257 \\
Count Data on Proportions / 257 \\
Odds / 259 \\
Overdispersion and Hypothesis Testing / 260 \\
Applications / 261 \\
Logistic Regression with Binomial Errors / 261 \\
Proportion Data with Categorical Explanatory Variables
/ 264 \\
Analysis of Covariance with Binomial Data / 269 \\
Further Reading / 272 \\
15: Binary Response Variable / 273 \\
Incidence Functions / 275 \\
ANCOVA with a Binary Response Variable / 279 \\
Further Reading / 284 \\
16: Death and Failure Data / 285 \\
Survival Analysis with Censoring / 287 \\
Further Reading / 290",
}
@Book{Davies:2015:BRF,
author = "Tilman M. Davies",
title = "The book of {R}: a first course in programming and
statistics",
publisher = pub-NO-STARCH,
address = pub-NO-STARCH:adr,
pages = "xxxii + 792",
year = "2015",
ISBN = "1-59327-651-6 (paperback), 1-59327-779-2 (e-book)",
ISBN-13 = "978-1-59327-651-5 (paperback), 978-1-59327-779-6
(e-book)",
LCCN = "QA76.73.R3 D38 2016",
bibdate = "Tue Feb 11 05:36:44 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "A beginner's guide to programming with R, the
statistical programming language. Covers key
programming techniques like manipulating data
structures, reading data from a file, and writing
functions. Introduces statistics topics like
probability distributions, hypothesis testing,
regression analysis, and statistical plots. Includes
exercises throughout each chapter.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Computer programming;
Statistics; Data processing; COMPUTERS; Programming.;
MATHEMATICS; Probability and Statistics.; Computer
programming.; R (Computer program language); Data
processing.",
tableofcontents = "Part I. The language. Getting started \\
Numerics, arithmetic, assignment, and vectors \\
Matrices and arrays \\
Non-numeric values \\
Lists and data frames \\
Special values, classes, and coercion \\
Basic plotting \\
Reading and writing files \\
Part II. Programming. Calling functions \\
Conditions and loops \\
Writing functions \\
Exceptions, timings, and visibility \\
Part III. Statistics and probability. Elementary
statistics \\
Basic data visualization \\
Probability \\
Common probability distributions \\
Part IV. Statistical testing and modeling. Sampling
distributions and confidence \\
Hypothesis testing \\
Analysis of variance \\
Simple linear regression \\
Multiple linear regression \\
Linear model selection and diagnostics \\
Part V. Advanced graphics. Advanced plot customization
\\
Going further with the grammar of graphics \\
Defining colors and plotting in higher dimensions \\
Interactive 3D plots \\
Appendix A. Installing R and contributed packages \\
Appendix B. Working with RStudio",
}
@Book{Dayal:2015:IRQb,
author = "Vikram Dayal",
title = "Introduction to {R} for quantitative economics:
graphing, simulating and computing",
publisher = "Springer",
address = "New Delhi, India",
pages = "xv + 109",
year = "2015",
ISBN = "81-322-2339-X, 81-322-2340-3",
ISBN-13 = "978-81-322-2339-9, 978-81-322-2340-5",
LCCN = "????",
bibdate = "Tue Jan 12 16:16:13 MST 2016",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "SpringerBriefs in economics",
abstract = "This book gives an introduction to R to build up
graphing, simulating and computing skills to enable one
to see theoretical and statistical models in economics
in a unified way. The great advantage of R is that it
is free, extremely flexible and extensible. The book
addresses the specific needs of economists, and helps
them move up the R learning curve. It covers some
mathematical topics such as, graphing the Cobb-Douglas
function, using R to study the Solow growth model, in
addition to statistical topics, from drawing
statistical graphs to doing linear and logistic
regression. It uses data that can be downloaded from
the internet, and which is also available in different
R packages. With some treatment of basic econometrics,
the book discusses quantitative economics broadly and
simply, looking at models in the light of data.
Students of economics or economists keen to learn how
to use R would find this book very useful.",
acknowledgement = ack-nhfb,
subject = "{\'E}conomie.; R (logiciel).",
tableofcontents = "1. Introduction \\
2. R and RStudio \\
3. Getting data into R \\
4. Supply and demand \\
5. Functions \\
6. The Cobb-Douglas Function \\
7. Matrices \\
8. Statistical simulation \\
9. Anscombe's quartet: graphs can reveal \\
10. Carbon and forests: graphs and regression \\
11. Evaluating training \\
12. The Solow growth model \\
13. Simulating random walks and shing cycles \\
14. Basic time series",
}
@Article{Delignette-Muller:2015:PRP,
author = "Marie Laure Delignette-Muller and Christophe Dutang",
title = "\pkg{fitdistrplus}: An {R} Package for Fitting
Distributions",
journal = j-J-STAT-SOFT,
volume = "64",
number = "4",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i04",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-04-18; Accepted 2014-07-15",
}
@Article{Dupuy:2015:DDT,
author = "Delphine Dupuy and C{\'e}line Helbert and Jessica
Franco",
title = "\pkg{DiceDesign} and \pkg{DiceEval}: Two {R} Packages
for Design and Analysis of Computer Experiments",
journal = j-J-STAT-SOFT,
volume = "65",
number = "11",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i11",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-07-30; Accepted 2015-10-15",
}
@Article{Durante:2015:BRC,
author = "Fabrizio Durante",
title = "Book Review: {{\booktitle{Computational Actuarial
Science with R}}}",
journal = j-INT-STAT-REV,
volume = "83",
number = "3",
pages = "511--511",
month = dec,
year = "2015",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12119",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Sun Jan 10 08:28:40 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "17 Nov 2015",
}
@Article{Espejo:2015:BRSb,
author = "Mariano Ruiz Espejo",
title = "Book Review: {{\booktitle{Statistical Studies of
Income, Poverty and Inequality in Europe: Computing and
Graphics in R Using EU-SILC}}}",
journal = j-INT-STAT-REV,
volume = "83",
number = "1",
pages = "173--174",
month = apr,
year = "2015",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12095_12",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Fri Jun 5 16:10:27 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "13 Apr 2015",
}
@Book{Fieller:2015:BMA,
author = "N. R. J. Fieller",
title = "Basics of Matrix Algebra for Statistics with {R}",
publisher = pub-TAYLOR-FRANCIS,
address = pub-TAYLOR-FRANCIS:adr,
pages = "xviii + 226",
year = "2015",
ISBN = "1-4987-1236-3 (paperback)",
ISBN-13 = "978-1-4987-1236-1 (paperback)",
LCCN = "QA272 .F54 2015",
bibdate = "Tue Jan 17 08:41:06 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Data processing; Matrices; R
(Computer program language)",
}
@Article{Fischer:2015:MWT,
author = "Daniel Fischer and Hannu Oja",
title = "{Mann--Whitney} Type Tests for Microarray Experiments:
The {R} Package \pkg{gMWT}",
journal = j-J-STAT-SOFT,
volume = "65",
number = "9",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i09",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-05-30; Accepted 2014-08-06",
}
@Book{Gandrud:2015:RRR,
author = "Christopher Gandrud",
title = "Reproducible Research with {R} and {R Studio}",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xxvii + 295",
year = "2015",
ISBN = "1-4987-1537-0 (paperback), 1-4987-1538-9 (e-book)",
ISBN-13 = "978-1-4987-1537-9 (paperback), 978-1-4987-1538-6
(e-book)",
LCCN = "Q180.55.S7G36 2015",
bibdate = "Tue Jan 26 13:40:43 MST 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall / CRC The R Series",
URL = "http://public.eblib.com/choice/publicfullrecord.aspx?p=4710300;
http://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=4710300",
acknowledgement = ack-nhfb,
tableofcontents = "Preface \\
Stylistic Conventions \\
Required R Packages \\
Additional Resources \\
List of Figures \\
List of Tables \\
I. Getting Started \\
1. Introducing Reproducible Research \\
2. Getting Started with Reproducible Research \\
3. Getting Started with R, RStudio, and knitr\slash
rmarkdown \\
4. Getting Started with File Management \\
II. Data Gathering and Storage \\
5. Storing, Collaborating, Accessing Files, and
Versioning \\
6. Gathering Data with R \\
7. Preparing Data for Analysis \\
III Analysis and Results \\
8. Statistical Modeling and knitr \\
9. Showing Results with Tables \\
10. Showing Results with Figures \\
IV Presentation Documents \\
11. Presenting with knitr\slash \LaTeX \\
12. Large knitr\slash \LaTeX{} Documents: Theses,
Books, and Batch Reports \\
13. Presenting on the Web and Other Formats with R
Markdown\ \\
14. Conclusion \\
Bibliography",
}
@Article{Gandrud:2015:SRP,
author = "Christopher Gandrud",
title = "\pkg{simPH}: An {R} Package for Illustrating Estimates
from {Cox} Proportional Hazard Models Including for
Interactive and Nonlinear Effects",
journal = j-J-STAT-SOFT,
volume = "65",
number = "3",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i03",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-09-17; Accepted 2014-08-16",
}
@Article{Gaudart:2015:PRP,
author = "Jean Gaudart and Nathalie Graffeo and Drissa Coulibaly
and Guillaume Barbet and Stanilas Rebaudet and Nadine
Dessay and Ogobara K. Doumbo and Roch Giorgi",
title = "\pkg{SPODT}: An {R} Package to Perform Spatial
Partitioning",
journal = j-J-STAT-SOFT,
volume = "63",
number = "16",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:11 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i16",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-02; Accepted 2014-10-14",
}
@Article{Genolini:2015:KKR,
author = "Christophe Genolini and Xavier Alacoque and Mariane
Sentenac and Catherine Arnaud",
title = "\pkg{kml} and \pkg{kml3d}: {R} Packages to Cluster
Longitudinal Data",
journal = j-J-STAT-SOFT,
volume = "65",
number = "4",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i04",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-11-20; Accepted 2014-08-18",
}
@Article{Gollini:2015:PRP,
author = "Isabella Gollini and Binbin Lu and Martin Charlton and
Christopher Brunsdon and Paul Harris",
title = "\pkg{GWmodel}: An {R} Package for Exploring Spatial
Heterogeneity Using Geographically Weighted Models",
journal = j-J-STAT-SOFT,
volume = "63",
number = "17",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:11 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i17",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-02; Accepted 2014-08-18",
}
@Article{Gromping:2015:BRM,
author = "Ulrike Gr{\"o}mping",
title = "Book Review: {{\em Multilevel Modeling Using R}}",
journal = j-J-STAT-SOFT,
volume = "62",
number = "BR-1",
pages = "??--??",
month = jan,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v62/b01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2015-01-10; Accepted 2015-01-10",
}
@Article{Gromping:2015:BRU,
author = "Ulrike Gr{\"o}mping",
title = "Book Review: {{\booktitle{Using R and RStudio for Data
Management, Statistical Analysis and Graphics}} (2nd
Edition), Nicholas J. Horton and Ken Kleinman, CRC
Press, Boca Raton, 2015. ISBN 978-1-4822-3736-8. 313
pp. USD 59.46 (H).
\url{http://www.amherst.edu/~nhorton/r2/}}",
journal = j-J-STAT-SOFT,
volume = "68",
number = "BR-4",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.b04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068b04;
http://www.jstatsoft.org/index.php/jss/article/view/v068b04/v68b04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Guerin:2015:MPE,
author = "Greg R. Guerin and Andrew J. Lowe",
title = "Mapping phylogenetic endemism in {R} using
georeferenced branch extents",
journal = j-SOFTWAREX,
volume = "3--4",
number = "??",
pages = "13--21",
month = dec,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2015.10.002",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:30 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711015000126",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Haggstrom:2015:CRP,
author = "Jenny H{\"a}ggstr{\"o}m and Emma Persson and Ingeborg
Waernbaum and Xavier de Luna",
title = "\pkg{CovSel}: An {R} Package for Covariate Selection
When Estimating Average Causal Effects",
journal = j-J-STAT-SOFT,
volume = "68",
number = "1",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068i01;
http://www.jstatsoft.org/index.php/jss/article/view/v068i01/v68i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Harrison:2015:RPP,
author = "Lisa-Marie K. Harrison and Martin J. Cox and Georg
Skaret and Robert Harcourt",
title = "The {R} package \pkg{EchoviewR} for automated
processing of active acoustic data using
\pkg{Echoview}",
journal = j-FRONTIERS-MAR-SCI,
volume = "2",
month = feb,
year = "2015",
DOI = "https://doi.org/10.3389/fmars.2015.00015",
ISSN = "2296-7745",
ISSN-L = "2296-7745",
bibdate = "Wed Dec 22 06:45:41 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/frontmarsci2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Front. Mar. Sci.",
fjournal = "Frontiers in Marine Science",
journal-URL = "https://www.frontiersin.org/journals/655",
rawdoi = "10.3389/fmars.2015.00015",
}
@Book{Hector:2015:NSR,
author = "Andy Hector",
title = "New statistics with {R}: an introduction for
biologists",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
pages = "xi + 199",
year = "2015",
DOI = "https://doi.org/10.1093/acprof:oso/9780198729051.001.0001",
ISBN = "0-19-872905-7, 0-19-872906-5 (paperback),
0-19-104526-8 (e-book), 1-322-57064-7 (e-book)",
ISBN-13 = "978-0-19-872905-1, 978-0-19-872906-8 (paperback),
978-0-19-104526-4 (e-book), 978-1-322-57064-8
(e-book)",
LCCN = "QH324.2 .H43 2015",
bibdate = "Tue Jan 12 16:13:00 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Bioinformatics; R (Computer program language)",
tableofcontents = "1: Introduction \\
1.1 The aim of this book \\
1.2 The R programming language for statistics and
graphics \\
1.3 Scope \\
1.4 What is not covered \\
1.5 The approach \\
1.6 The new statistics? \\
1.7 Getting started \\
2: Comparing Groups: Analysis of Variance \\
2.1 Introduction \\
2.2 Least squares \\
2.3 Differences between groups \\
2.4 Data in long and wide formats \\
2.5 A first linear model analysis: ANOVA \\
2.6 ANOVA tables \\
2.7 Null hypothesis significance testing \\
2.8 Summary \\
3: Comparing Groups: Students t-test \\
3.1 Introduction \\
3.2 The paired t-test \\
3.3 The t-distribution \\
3.4 Confidence intervals \\
3.5 Least significant differences \\
3.6 Assumptions \\
3.7 Summary \\
4: Linear Regression \\
4.1 Introduction \\
4.2 Confidence intervals and prediction intervals \\
4.3 Checking assumptions \\
4.4 Summary \\
5: Comparisons Using Estimates and Intervals \\
5.1 Introduction \\
5.2 Descriptive summaries and statistics: standard
deviations \\
5.3 Inferential statistics \\
5.4 Relating different types of interval and error bar
\\
5.5 Interpreting confidence intervals \\
5.6 Point estimates and confidence intervals for
research synthesis and meta-analysis \\
5.7 Emphasizing estimates over null hypothesis
significance tests and P-values \\
5.8 Summary \\
6: Interactions \\
6.1 Introduction \\
6.2 Comparing three or more groups \\
6.3 Interactions in factorial analyses \\
6.4 Summary \\
7: Analysis of Covariance: ANCOVA \\
7.1 Introduction \\
7.2 Panel plots \\
7.3 Interactions in ANCOVA \\
7.4 Summary \\
8: Maximum Likelihood and Generalized Linear Models \\
8.1 Introduction \\
8.2 The Box-Cox power transform \\
8.3 Generalized Linear Models in R \\
8.4 Summary \\
9: Generalized Linear Models for Data with Non-Normal
Distributions \\
9.1 Introduction \\
9.2 Binomial count data \\
9.3 Binary data \\
9.4 Count data \\
9.5 Summary \\
10: Mixed-Effects Models \\
10.1 Introduction \\
10.2 Model building \\
10.3 Mixed-model ANOVA using normal least squares \\
10.4 Maximum likelihood-based mixed-effects models in
R10.5 Likelihood ratio tests of random effects \\
10.6 Random intercepts versus random intercept and
slope models \\
10.7 Shrinkage in mixed-effects models \\
10.8 Summary \\
11: Generalized Linear Mixed-Effects Models \\
11.1 Introduction \\
11.2 Model building \\
11.3 GLMMs in R \\
11.4 Assumptions \\
11.5 Summary \\
12: Final Thoughts \\
Appendix: A Very Short Introduction to the R
Programming Language for Statistics and Graphics \\
A.1 Installing R \\
A.2 Working with R scripts \\
A.3 The R language \\
A.4 Data manipulation: subsetting",
}
@Book{Heiberger:2015:SAD,
author = "Richard M. Heiberger and Burt Holland",
title = "Statistical Analysis and Data Display: an Intermediate
Course with Examples in {R}",
publisher = pub-SV,
address = pub-SV:adr,
edition = "Second",
pages = "xxxi + 898",
year = "2015",
DOI = "https://doi.org/10.1007/978-1-4939-2122-5",
ISBN = "1-4939-2121-5 (hardcover), 1-4939-2122-3 (e-book)",
ISBN-13 = "978-1-4939-2121-8 (hardcover), 978-1-4939-2122-5
(e-book)",
LCCN = "QA276.4 .H445 2015",
bibdate = "Sun Oct 9 09:20:40 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Springer texts in statistics",
acknowledgement = ack-nhfb,
author-dates = "1945--",
subject = "Mathematical statistics; Data processing; S-Plus;
Statistics; R (Computer program language); SAS
(Computer file)",
}
@Article{Helmreich:2015:BRS,
author = "James E. Helmreich",
title = "Book Review: {{\booktitle{Statistics: An Introduction
Using R}} (2nd Edition), Michael J. Crawley, John Wiley
\& Sons, Chichester, 2015. ISBN 978-1-118-94109-6. 339
pp. USD 45.00 (P).
\url{http://www.imperial.ac.uk/bio/research/crawley/statistics/}}",
journal = j-J-STAT-SOFT,
volume = "67",
number = "BR-5",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.b05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067b05;
http://www.jstatsoft.org/index.php/jss/article/view/v067b05/v67b05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Hofmarcher:2015:BRI,
author = "Paul Hofmarcher",
title = "Book Review: {{\booktitle{An Introduction to R for
Quantitative Economics}}, Vikram Dayal.
Springer-Verlag, New Dehli, 2015. ISBN
978-81-322-2339-9. 109 pp. EUR 51.99.
\url{http://www.springer.com/book/9788132223399}}",
journal = j-J-STAT-SOFT,
volume = "67",
number = "BR-4",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.b04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067b04;
http://www.jstatsoft.org/index.php/jss/article/view/v067b04/v67b04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Horton:2015:URR,
author = "Nicholas J. Horton and Ken Kleinman",
title = "Using {R} and {RStudio} for Data Management,
Statistical Analysis, and Graphics",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
edition = "Second",
pages = "xxiv + 289",
year = "2015",
ISBN = "1-4822-3736-9, 1-4822-3737-7 (e-book)",
ISBN-13 = "978-1-4822-3736-8, 978-1-4822-3737-5 (e-book)",
LCCN = "QA276.45.R3 H67 2015",
bibdate = "Tue Jan 12 16:02:11 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "This is the second edition of the popular book on
using R for statistical analysis and graphics. The
authors, who run a popular blog supplementing their
books, have focused on adding many new examples to this
new edition. These examples are presented primarily in
new chapters based on the following themes: simulation,
probability, statistics, mathematics/computing, and
graphics. The authors have also added many other
updates, including a discussion of RStudio-a very
popular development environment for R.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Statistical methods;
Mathematical statistics; Data processing; Mathematics;
Research; Sampling (Statistics); Applied.; Probability
and Statistics; General.",
tableofcontents = "Preface to the second edition \\
Preface to the first edition \\
1: Data input and output \\
2: Data management \\
3: Statistical and mathematical functions \\
4: Programming and operating system interface \\
5: Common statistical procedures \\
6: Linear regression and ANOVA \\
7: Regression generalizations and modeling \\
8: A graphical compendium \\
9: Graphical options and configuration \\
10: Simulation \\
11: Special topics \\
12: Case studies \\
Appendix A: Introduction to R and RStudio \\
Appendix B: The HELP study dataset \\
Appendix C: References",
}
@Article{Iacus:2015:BRA,
author = "Stefano M. Iacus",
title = "Book Review: {{\booktitle{Automated Data Collection
with R --- A Practical Guide to Web Scraping and Text
Mining}}, Simon Munzert, Christian Rubba, Peter
Mei{\ss}ner, Dominic Nyhuis, John Wiley \& Sons,
Chichester, 2014. ISBN 978-1-118-83481-7. 480 pp. GBP
50.00 (H). \url{http://www.r-datacollection.com/}}",
journal = j-J-STAT-SOFT,
volume = "68",
number = "BR-3",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068b03;
http://www.jstatsoft.org/index.php/jss/article/view/v068b03/v68b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Iacus:2015:ILC,
author = "Stefano M. Iacus and Lorenzo Mercuri",
title = "Implementation of {L{\'e}vy} {CARMA} model in
\pkg{Yuima} package",
journal = j-COMP-STAT,
volume = "30",
number = "4",
pages = "1111--1141",
month = dec,
year = "2015",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-015-0569-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:47 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-015-0569-7",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Ignatova:2015:KJF,
author = "Iliana Ignatova and Roland Deutsch and Don Edwards",
title = "{Kirk, J. L., and Fay, M. P. ``An Introduction to
Practical Sequential Inferences Via Single-Arm Binary
Response Studies Using the Binseqtest R Package,'' {\em
The American Statistician}, {\bf 68}, 230--242}",
journal = j-AMER-STAT,
volume = "69",
number = "3",
pages = "256--257",
year = "2015",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2015.1053523",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Tue Sep 15 08:23:05 MDT 2015",
bibsource = "http://www.tandfonline.com/toc/utas20/69/3;
https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Kirk:2014:IPS}.",
URL = "http://www.tandfonline.com/doi/abs/10.1080/00031305.2015.1053523",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
}
@Article{James:2015:PRP,
author = "Nicholas A. James and David S. Matteson",
title = "\pkg{ecp}: An {R} Package for Nonparametric Multiple
Change Point Analysis of Multivariate Data",
journal = j-J-STAT-SOFT,
volume = "62",
number = "7",
pages = "??--??",
month = jan,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:33 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v62/i07",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-08; Accepted 2014-05-17",
}
@Article{Jing:2015:PRP,
author = "Liang Jing and Victor {De Oliveira}",
title = "\pkg{geoCount}: An {R} Package for the Analysis of
Geostatistical Count Data",
journal = j-J-STAT-SOFT,
volume = "63",
number = "11",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i11",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-04-03; Accepted 2014-08-25",
}
@Article{Kavroudakis:2015:SRP,
author = "Dimitris Kavroudakis",
title = "\pkg{sms}: An {R} Package for the Construction of
Microdata for Geographical Analysis",
journal = j-J-STAT-SOFT,
volume = "68",
number = "2",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068i02;
http://www.jstatsoft.org/index.php/jss/article/view/v068i02/v68i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kawaguchi:2015:PSR,
author = "Atsushi Kawaguchi and Gary G. Koch",
title = "\pkg{sanon}: An {R} Package for Stratified Analysis
with Nonparametric Covariable Adjustment",
journal = j-J-STAT-SOFT,
volume = "67",
number = "9",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067i09;
http://www.jstatsoft.org/index.php/jss/article/view/v067i09/v67i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Konietschke:2015:PRS,
author = "Frank Konietschke and Marius Placzek and Frank
Schaarschmidt and Ludwig A. Hothorn",
title = "\pkg{nparcomp}: An {R} Software Package for
Nonparametric Multiple Comparisons and Simultaneous
Confidence Intervals",
journal = j-J-STAT-SOFT,
volume = "64",
number = "9",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i09",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-11-08; Accepted 2014-06-10",
}
@Article{Kostenko:2015:BRU,
author = "Andrey Kostenko",
title = "Book reviews: {{\booktitle{Using R for Numerical
Analysis in Science and Engineering}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "178",
number = "4",
pages = "1098--1098",
month = oct,
year = "2015",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.1_12138",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Sep 28 08:22:16 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "26 Sep 2015",
}
@Article{Kotthaus:2015:DPS,
author = "Helena Kotthaus and Ingo Korb and Michael Engel and
Peter Marwedel",
title = "Dynamic page sharing optimization for the {R}
language",
journal = j-SIGPLAN,
volume = "50",
number = "2",
pages = "79--90",
month = feb,
year = "2015",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/2775052.2661094",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Tue May 12 17:41:21 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
abstract = "Dynamic languages such as R are increasingly used to
process large data sets. Here, the R interpreter
induces a large memory overhead due to wasteful memory
allocation policies. If an application's working set
exceeds the available physical memory, the OS starts to
swap, resulting in slowdowns of a several orders of
magnitude. Thus, memory optimizations for R will be
beneficial to many applications. Existing R
optimizations are mostly based on dynamic compilation
or native libraries. Both methods are futile when the
OS starts to page out memory. So far, only a few,
data-type or application specific memory optimizations
for R exist. To remedy this situation, we present a
low-overhead page sharing approach for R that
significantly reduces the interpreter's memory
overhead. Concentrating on the most rewarding
optimizations avoids the high runtime overhead of
existing generic approaches for memory deduplication or
compression. In addition, by applying knowledge of
interpreter data structures and memory allocation
patterns, our approach is not constrained to specific R
applications and is transparent to the R interpreter.
Our page sharing optimization enables us to reduce the
memory consumption by up to 53.5\% with an average of
18.0\% for a set of real-world R benchmarks with a
runtime overhead of only 5.3\% on average. In cases
where page I/O can be avoided, significant speedups are
achieved.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J706",
remark = "DLS '14 conference proceedings.",
}
@Article{Kotthaus:2015:RMC,
author = "Helena Kotthaus and Ingo Korb and Michel Lang and
Bernd Bischl and J{\"o}rg Rahnenf{\"u}hrer and Peter
Marwedel",
title = "Runtime and memory consumption analyses for machine
learning {R} programs",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "85",
number = "1",
pages = "14--29",
year = "2015",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2014.925192",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Wed Feb 11 16:24:23 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Article{Krl:2015:SRP,
author = "Agnieszka Kr{\'o}l and Philippe Saint-Pierre",
title = "\pkg{SemiMarkov}: An {R} Package for Parametric
Estimation in Multi-State Semi-{Markov} Models",
journal = j-J-STAT-SOFT,
volume = "66",
number = "6",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066i06;
http://www.jstatsoft.org/index.php/jss/article/view/v066i06/v66i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lebret:2015:PRR,
author = "R{\'e}mi Lebret and Serge Iovleff and Florent
Langrognet and Christophe Biernacki and Gilles Celeux
and G{\'e}rard Govaert",
title = "\pkg{Rmixmod}: The {R} Package of the Model-Based
Unsupervised, Supervised, and Semi-Supervised
Classification Mixmod Library",
journal = j-J-STAT-SOFT,
volume = "67",
number = "6",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067i06;
http://www.jstatsoft.org/index.php/jss/article/view/v067i06/v67i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lin:2015:MRP,
author = "Yan-Xia Lin and Mark James Fielding",
title = "\pkg{MaskDensity14}: an {R} package for the density
approximant of a univariate based on noise multiplied
data",
journal = j-SOFTWAREX,
volume = "3--4",
number = "??",
pages = "32--36",
month = dec,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2015.11.002",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:30 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711015000163",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Linn:2015:PIQ,
author = "Kristin A. Linn and Eric B. Laber and Leonard A.
Stefanski",
title = "\pkg{iqLearn}: Interactive {Q}-Learning in {R}",
journal = j-J-STAT-SOFT,
volume = "64",
number = "1",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i01",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-09-17; Accepted 2014-07-15",
}
@Article{Liu:2015:BRC,
author = "Shuangzhe Liu",
title = "Book Review: {{\booktitle{Circular Statistics in
R}}}",
journal = j-INT-STAT-REV,
volume = "83",
number = "1",
pages = "164--164",
month = apr,
year = "2015",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12095_4",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Fri Jun 5 16:10:27 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "13 Apr 2015",
}
@Article{Liverani:2015:PRP,
author = "Silvia Liverani and David I. Hastie and Lamiae Azizi
and Michail Papathomas and Sylvia Richardson",
title = "\pkg{PReMiuM}: An {R} Package for Profile Regression
Mixture Models Using {Dirichlet} Processes",
journal = j-J-STAT-SOFT,
volume = "64",
number = "7",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i07",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-04-09; Accepted 2014-07-15",
}
@Article{Loecher:2015:PPU,
author = "Markus Loecher and Karl Ropkins",
title = "\pkg{RgoogleMaps} and \pkg{loa}: Unleashing {R}
Graphics Power on Map Tiles",
journal = j-J-STAT-SOFT,
volume = "63",
number = "4",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i04",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-05-31; Accepted 2014-10-06",
}
@Book{Longford:2015:SSI,
author = "Nicholas T. Longford",
title = "Statistical studies of income, poverty and inequality
in {Europe}: computing and graphics in {R} using
{EU-SILC}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxii + 354",
year = "2015",
ISBN = "1-4665-6832-1 (hardcover)",
ISBN-13 = "978-1-4665-6832-7 (hardcover)",
LCCN = "HC79.I5 L646 2015",
bibdate = "Mon Jun 8 10:01:10 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC statistics in the social and
behavioral sciences series",
URL = "http://images.tandf.co.uk/common/jackets/websmall/978146656/9781466568327.jpg",
abstract = "There is no shortage of incentives to study and reduce
poverty in our societies. Poverty is studied in
economics and political sciences, and population
surveys are an important source of information about
it. The design and analysis of such surveys is
principally a statistical subject matter and the
computer is essential for their data compilation and
processing.Focusing on The European Union Statistics on
Income and Living Conditions (EU-SILC), a program of
annual national surveys which collect data related to
poverty and social exclusion, Statistical Studies of
Income, Poverty and Inequality in Europe: Computing and
Graphics in R presents a set of statistical analyses
pertinent to the general goals of EU-SILC. The contents
of the volume are biased toward computing and
statistics, with reduced attention to economics,
political and other social sciences. The emphasis is on
methods and procedures as opposed to results, because
the data from annual surveys made available since
publication and in the near future will degrade the
novelty of the data used and the results derived in
this volume.The aim of this volume is not to propose
specific methods of analysis, but to open up the
analytical agenda and address the aspects of the key
definitions in the subject of poverty assessment that
entail nontrivial elements of arbitrariness. The
presented methods do not exhaust the range of analyses
suitable for EU-SILC, but will stimulate the search for
new methods and adaptation of established methods that
cater to the identified purposes.",
acknowledgement = ack-nhfb,
author-dates = "1955--",
subject = "Income distribution; Europe; Poverty; Equality; Social
sciences; Research; Mathematical models; MATHEMATICS /
Probability and Statistics / General.",
tableofcontents = "1. Poverty rate \\
2. Statistical background \\
3. Poverty indices \\
4. Mixtures of distributions \\
5. Regions \\
6. Transitions \\
7. Multivariate mixtures \\
8. Social transfers \\
9. Causes and effects. Education and income",
}
@Article{MacDonald:2015:GRP,
author = "Blake MacDonald and Pritam Ranjan and Hugh Chipman",
title = "\pkg{GPfit}: An {R} Package for Fitting a {Gaussian}
Process Model to Deterministic Simulator Outputs",
journal = j-J-STAT-SOFT,
volume = "64",
number = "12",
pages = "??--??",
month = apr,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:05 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i12",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-10-24; Accepted 2014-07-29",
}
@Article{Mankad:2015:TVE,
author = "Shawn Mankad and George Michailidis and Moulinath
Banerjee",
title = "Threshold Value Estimation Using Adaptive Two-Stage
Plans in {R}",
journal = j-J-STAT-SOFT,
volume = "67",
number = "3",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067i03;
http://www.jstatsoft.org/index.php/jss/article/view/v067i03/v67i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Marcon:2015:CST,
author = "Eric Marcon and St{\'e}phane Traissac and Florence
Puech and Gabriel Lang",
title = "Code Snippet: Tools to Characterize Point Patterns:
\pkg{dbmss} for {R}",
journal = j-J-STAT-SOFT,
volume = "67",
number = "CS-3",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.c03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067c03;
http://www.jstatsoft.org/index.php/jss/article/view/v067c03/v67c03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Marcon:2015:PER,
author = "Eric Marcon and Bruno H{\'e}rault",
title = "\pkg{entropart}: An {R} Package to Measure and
Partition Diversity",
journal = j-J-STAT-SOFT,
volume = "67",
number = "8",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067i08;
http://www.jstatsoft.org/index.php/jss/article/view/v067i08/v67i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Marcum:2015:CMS,
author = "Christopher Steven Marcum and Carter T. Butts",
title = "Constructing and Modifying Sequence Statistics for
\pkg{relevent}: Using \pkg{informR} in {R}",
journal = j-J-STAT-SOFT,
volume = "64",
number = "5",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i05",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-03-12; Accepted 2014-07-30",
}
@Article{Matloff:2015:BRR,
author = "Norman S. Matloff",
title = "Book Review: {{\booktitle{R for Cloud Computing}},
Ajay Ohri, Springer-Verlag, New York, 2014. ISBN
978-1-4939-1701-3. 267 pp. USD 99.00 (P).
\url{http://www.springer.com/book/9781493917013}}",
journal = j-J-STAT-SOFT,
volume = "66",
number = "BR-4",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.b04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066b04;
http://www.jstatsoft.org/index.php/jss/article/view/v066b04/v66b04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Matthews:2015:CSP,
author = "Gregory J. Matthews and Andrea S. Foulkes",
title = "Code Snippet: \pkg{MixMAP}: An {R} Package for Mixed
Modeling of Meta-Analysis $p$ Values in Genetic
Association Studies",
journal = j-J-STAT-SOFT,
volume = "66",
number = "3",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.c03;
https://doi.org/10.18637/jss.v066.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066c03;
http://www.jstatsoft.org/index.php/jss/article/view/v066c03/v66c03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Miller:2015:MDS,
author = "Thomas W. Miller",
title = "Marketing data science: modeling techniques in
predictive analytics with {R} and {Python}",
publisher = "Pearson Education",
address = "Old Tappan, NJ, USA",
pages = "????",
year = "2015",
ISBN = "0-13-388766-9, 0-13-388762-6",
ISBN-13 = "978-0-13-388766-2, 978-0-13-388762-4,
978-0-13-388655-9",
LCCN = "HF5415",
bibdate = "Fri Oct 23 17:30:28 MDT 2015",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://proquest.safaribooksonline.com/?fpi=9780133887662;
http://proquest.tech.safaribooksonline.de/9780133887662",
acknowledgement = ack-nhfb,
subject = "Marketing; Data processing; Mathematical models; R
(Computer program language); Python (Computer program
language); Data mining; Data mining.; Data processing.;
Mathematical models.; Python (Computer program
language); R (Computer program language)",
tableofcontents = "Preface \\
Figures \\
Tables \\
Exhibits \\
1. Understanding Markets \\
2. Predicting Consumer Choice \\
3. Targeting Current Customers \\
4. Finding New Customers \\
5. Retaining Customers \\
6. Positioning Products \\
7. Developing New Products \\
8. Promoting Products \\
9. Recommending Products \\
10. Assessing Brands and Prices \\
11. Utilizing Social Networks \\
12. Watching Competitors \\
13. Predicting Sales \\
14. Redefining Marketing Research \\
A. Data Science Methods \\
A.1 Database Systems and Data Preparation \\
A.2 Classical and Bayesian Statistics \\
A.3 Regression and Classification \\
A.4 Data Mining and Machine Learning \\
A.5 Data Visualization \\
A.6 Text and Sentiment Analysis \\
A.7 Time Series and Market Response Models \\
B. Marketing Data Sources \\
B.1 Measurement Theory \\
B.2 Levels of Measurement \\
B.3 Sampling \\
B.4 Marketing Databases \\
B.5 World Wide Web \\
B.6 Social Media \\
B.7 Surveys \\
B.8 Experiments \\
B.9 Interviews \\
B.10 Focus Groups \\
B.11 Field Research \\
C. Case Studies \\
C.1 AT&T Choice Study \\
C.2 Anonymous Microsoft Web Data \\
C.3 Bank Marketing Study \\
C.4 Boston Housing Study \\
C.5 Computer Choice Study \\
C.6 DriveTime Sedans \\
C.7 Lydia E. Pinkham Medicine Company \\
C.8 Procter & Gamble Laundry Soaps \\
C.9 Return of the Bobbleheads \\
C.10 Studenmund's Restaurants \\
C.11 Sydney Transportation Study \\
C.12 ToutBay Begins Again \\
C.13 Two Month's Salary \\
C.14 Wisconsin Dells \\
C.15 Wisconsin Lottery Sales \\
C.16 Wikipedia Votes \\
D. Code and Utilities \\
Bibliography \\
Index \\
Code Snippets",
}
@Article{Millo:2015:NRS,
author = "Giovanni Millo",
title = "Narrow Replication of {`A Spatio--Temporal Model of
House Prices in the USA'} Using {R}",
journal = j-J-APPL-ECONOMETRICS,
volume = "30",
number = "4",
pages = "703--704",
month = jun # "--" # jul,
year = "2015",
CODEN = "JAECET",
DOI = "https://doi.org/10.1002/jae.2424",
ISSN = "0883-7252 (print), 1099-1255 (electronic)",
ISSN-L = "0883-7252",
bibdate = "Sat Mar 9 10:26:18 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jappleconometrics.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Baltagi:2014:FES}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Econometrics",
journal-URL = "https://onlinelibrary.wiley.com/journal/10991255;
https://www.jstor.org/journal/japplecon",
onlinedate = "13 October 2014",
}
@Article{Molenaar:2015:FDI,
author = "Dylan Molenaar and Francis Tuerlinckx and Han L. J.
van der Maas",
title = "Fitting Diffusion Item Response Theory Models for
Responses and Response Times Using the {R} Package
\pkg{diffIRT}",
journal = j-J-STAT-SOFT,
volume = "66",
number = "4",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066i04;
http://www.jstatsoft.org/index.php/jss/article/view/v066i04/v66i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Mulder:2015:CSR,
author = "Kees Mulder",
title = "Circular Statistics in {R}",
journal = j-CHANCE,
volume = "28",
number = "1",
pages = "54--54",
year = "2015",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2015.1016851",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Sat Aug 8 11:26:52 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
}
@Article{Nordhausen:2015:BRS,
author = "Klaus Nordhausen",
title = "Book Review: {{\booktitle{Statistical Analysis of
Network Data with R}}}",
journal = j-INT-STAT-REV,
volume = "83",
number = "1",
pages = "171--172",
month = apr,
year = "2015",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12095_10",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Fri Jun 5 16:10:27 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "13 Apr 2015",
}
@Article{Paciorek:2015:PGP,
author = "Christopher J. Paciorek and Benjamin Lipshitz and Wei
Zhuo and Prabhat and Cari G. G. Kaufman and Rollin C.
Thomas",
title = "Parallelizing {Gaussian} Process Calculations in {R}",
journal = j-J-STAT-SOFT,
volume = "63",
number = "10",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i10",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-13; Accepted 2014-09-29",
}
@Article{Padoan:2015:ARF,
author = "Simone A. Padoan and Moreno Bevilacqua",
title = "Analysis of Random Fields Using \pkg{CompRandFld}",
journal = j-J-STAT-SOFT,
volume = "63",
number = "9",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i09",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-05-31; Accepted 2014-08-25",
}
@Article{Pallmann:2015:AMA,
author = "Philip Pallmann",
title = "{{\booktitle{Applied meta-analysis with R}}}",
journal = j-J-APPL-STAT,
volume = "42",
number = "4",
pages = "914--915",
month = apr,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2014.989464",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Feb 10 19:23:26 MST 2015",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Pallmann:2015:BRA,
author = "Philip Pallmann",
title = "Book reviews: {{\booktitle{Analyzing Baseball Data
with R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "178",
number = "4",
pages = "1099--1099",
month = oct,
year = "2015",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.3_12138",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Mon Sep 28 08:22:16 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "26 Sep 2015",
}
@Article{Palomo:2015:SRP,
author = "Jes{\'u}s Palomo and Rui Paulo and Gonzalo
Garc{\'\i}a-Donato",
title = "\pkg{SAVE}: An {R} Package for the Statistical
Analysis of Computer Models",
journal = j-J-STAT-SOFT,
volume = "64",
number = "13",
pages = "??--??",
month = apr,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:05 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i13",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-27; Accepted 2014-07-29",
}
@Article{Pandolfo:2015:CSR,
author = "Giuseppe Pandolfo",
title = "Book Review: {{\booktitle{Circular statistics in
R}}}",
journal = j-J-APPL-STAT,
volume = "42",
number = "4",
pages = "918--919",
month = apr,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2014.991072",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Tue Feb 10 19:23:26 MST 2015",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Park:2015:BRBb,
author = "Taesung Park",
title = "Book Review: {Bilder, Christopher R. and Loughin,
Thomas M., \booktitle{Analysis of Categorical Data with
R}. Boca Raton, FL: Chapman and Hall\slash CRC}",
journal = j-BIOMETRICS,
volume = "71",
number = "4",
pages = "1198--1199",
month = dec,
year = "2015",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12440",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "22 December 2015",
}
@Article{Park:2015:BRD,
author = "Mira Park",
title = "Book Review: {Ding-Geng, Chen, and Karl, E. Peace,
\booktitle{Applied meta-analysis with R}. CRC Press}",
journal = j-BIOMETRICS,
volume = "71",
number = "3",
pages = "864--865",
month = sep,
year = "2015",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12370",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:36 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "17 September 2015",
}
@Article{Payton:2015:PPL,
author = "Quinn C. Payton and Michael G. McManus and Marc H.
Weber and Anthony R. Olsen and Thomas M. Kincaid",
title = "\pkg{micromap}: A Package for Linked Micromaps",
journal = j-J-STAT-SOFT,
volume = "63",
number = "2",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i02",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-05-31; Accepted 2014-10-22",
}
@Article{Pelissier:2015:PPR,
author = "Rapha{\"e}l P{\'e}lissier and Fran{\c{c}}ois Goreaud",
title = "\pkg{ads} Package for {R}: A Fast Unbiased
Implementation of the {$K$}-function Family for
Studying Spatial Point Patterns in Irregular-Shaped
Sampling Windows",
journal = j-J-STAT-SOFT,
volume = "63",
number = "6",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-01; Accepted 2014-08-18",
}
@Book{Pierson:2015:DSD,
author = "Lillian Pierson",
title = "Data science for dummies",
publisher = "For Dummies",
address = "Hoboken, NJ, USA",
pages = "xvi + 384",
year = "2015",
ISBN = "1-118-84155-7 (paperback), 1-118-84145-X (e-book),
1-118-84152-2 (e-book)",
ISBN-13 = "978-1-118-84155-6 (paperback), 978-1-118-84145-7
(e-book), 978-1-118-84152-5 (e-book)",
LCCN = "T58.5 .P488 2015",
bibdate = "Wed Sep 20 09:44:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
note = "Foreword by Jake Porway, Founder and Executive
Director of DataKind.",
series = "For dummies",
abstract = "Jobs in data science abound, but few people have the
data science skills needed to fill these increasingly
important roles in organizations. Data Science For
Dummies is the perfect starting point for IT
professionals and students interested in making sense
of their organization's massive data sets and applying
their findings to real-world business scenarios. From
uncovering rich data sources to managing large amounts
of data within hardware and software limitations,
ensuring consistency in reporting, merging various data
sources, and beyond, you'll develop the know-how you
need to effectively interpret data and tell a story
that can be understood by anyone in your
organization.",
acknowledgement = ack-nhfb,
subject = "Information technology; Information retrieval;
Databases; Data mining",
tableofcontents = "Part I: Getting Started With Data Science \\
1: Wrapping Your Head around Data Science \\
2: Exploring Data Engineering Pipelines and
Infrastructure \\
3: Applying Data Science to Business and Industry \\
Part II: Using Data Science to Extract Meaning from
Your Data \\
4: Introducing Probability and Statistics \\
5: Clustering and Classification \\
6: Clustering and Classification with Nearest Neighbor
\\
7: Mathematical Modeling in Data Science \\
8: Modeling Spatial Data with Statistics \\
Part III: Creating Data Visualizations that Clearly
Communicate \\
9: Following the Principles of Data Visualization
Design \\
10: Using D3.js for Data Visualization \\
11: Web-Based Applications for Visualization Design \\
12: Exploring Best Practices in Dashboard Design \\
13: Making Maps from Spatial Data. Part IV: Computing
for Data Science \\
14: Using Python for Data Science \\
15: Using Open Source R for Data Science \\
16: Using SQL in Data Science \\
17: Software Applications for Data Science. Part V:
Applying Domain Expertise to Solve Real-World Problems
\\
18: Using Data Science in Journalism \\
19: Delving into Environmental Data Science \\
20: Data Science for Driving Growth in E-Commerce \\
21: Using Data Science to Describe and Predict Criminal
Activity. Part VI: The Part of Tens \\
22: Ten Phenomenal Resources for Open Data \\
23: Ten (or So) Free Data Science Tools and
Applications",
}
@Article{Podgorski:2015:BRD,
author = "Krzysztof Podgorski",
title = "Book Review: {{\booktitle{Displaying Time Series,
Spatial and Space-Time Data with R}}}",
journal = j-INT-STAT-REV,
volume = "83",
number = "1",
pages = "165--165",
month = apr,
year = "2015",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12095_5",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Fri Jun 5 16:10:27 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "13 Apr 2015",
}
@Article{Riza:2015:FFR,
author = "Lala Septem Riza and Christoph Bergmeir and Francisco
Herrera and Jos{\'e} M. Ben{\'\i}tez",
title = "\pkg{frbs}: Fuzzy Rule-Based Systems for
Classification and Regression in {R}",
journal = j-J-STAT-SOFT,
volume = "65",
number = "6",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i06",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2015-03-25; Accepted 2014-09-11",
}
@Article{Rotolo:2015:BCM,
author = "Daniele Rotolo and Loet Leydesdorff",
title = "Brief Communications: Matching {Medline\slash PubMed}
data with {Web of Science}: a routine in {R} language",
journal = j-J-ASSOC-INF-SCI-TECHNOL,
volume = "66",
number = "10",
pages = "2155--2159",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1002/asi.23385",
ISSN = "2330-1643 (print), 2330-1643 (electronic)",
ISSN-L = "2330-1643",
bibdate = "Fri Sep 11 12:15:21 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jasist.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Association for Information Science and
Technology",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643",
keywords = "medlineR",
onlinedate = "3 Dec 2014",
}
@Article{Rusch:2015:BRR,
author = "Thomas Rusch",
title = "Book Review: {{\booktitle{R for Marketing Research and
Analytics}}, Chris Chapman, Elea McDonnell Feit,
Springer-Verlag, Switzerland, 2015. ISBN
978-3-319-14435-1. 454 pp. USD 64.99 (P).
\url{http://www.springer.com/book/9783319144351}}",
journal = j-J-STAT-SOFT,
volume = "67",
number = "BR-2",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067b02;
http://www.jstatsoft.org/index.php/jss/article/view/v067b02/v67b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Scalise:2015:UOS,
author = "Kathleen Scalise and Diane D. Allen",
title = "Use of open-source software for adaptive measurement:
{Concerto} as an {R}-based computer adaptive
development and delivery platform",
journal = "British Journal of Mathematical and Statistical
Psychology",
volume = "68",
number = "3",
pages = "478--496",
year = "2015",
DOI = "https://doi.org/10.1111/bmsp.12057",
ISSN = "0007-1102 (print), 2044-8317 (electronic)",
ISSN-L = "0007-1102",
bibdate = "Tue Jan 30 07:39:48 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "computer-adaptive testing, dynamic assessment,
software review, item-response models, Concerto,
technology-enhanced assessments, medical applications,
health applications, charting",
}
@Article{Schlather:2015:ASP,
author = "Martin Schlather and Alexander Malinowski and Peter J.
Menck and Marco Oesting and Kirstin Strokorb",
title = "Analysis, Simulation and Prediction of Multivariate
Random Fields with Package \pkg{RandomFields}",
journal = j-J-STAT-SOFT,
volume = "63",
number = "8",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i08",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-05-29; Accepted 2014-10-01",
}
@Book{Scutari:2015:BNE,
author = "Marco Scutari and Jean-Baptiste Denis",
title = "{Bayesian} Networks: with Examples in {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xv + 225",
year = "2015",
ISBN = "1-4822-2558-1",
ISBN-13 = "978-1-4822-2558-7",
LCCN = "QA279.5 .S38 2015",
bibdate = "Sat Jan 20 07:50:15 MST 2018",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Texts in statistical science",
URL = "http://catalogue.bnf.fr/ark:/12148/cb43850800h",
acknowledgement = ack-nhfb,
subject = "Th{\'e}orie de la d{\'e}cision bay{\'e}sienne;
Informatique; R{\'e}seaux neuronaux (Informatique); R
(Langage de programmation); Bayesian statistical
decision theory; Data processing; Neural networks
(Computer science); R (Computer program language);
Bayesian statistical decision theory; Data processing;
Neural networks (Computer science); R (Computer program
language); R (logiciel); Statistique bay{\'e}sienne;
Informatique",
tableofcontents = "1. The Discrete Case: Multinomial Bayesian Networks
\\
1.1. Introductory Example: Train Use Survey \\
1.2. Graphical Representation \\
1.3. Probabilistic Representation \\
1.4. Estimating the Parameters: Conditional Probability
Tables \\
1.5. Learning the DAG Structure: Tests and Scores \\
1.5.1. Conditional Independence Tests \\
1.5.2. Network Scores \\
1.6. Using Discrete BNs \\
1.6.1. Using the DAG Structure \\
1.6.2. Using the Conditional Probability Tables \\
1.6.2.1. Exact Inference \\
1.6.2.2. Approximate Inference \\
1.7. Plotting BNs \\
1.7.1. Plotting DAGs \\
1.7.2. Plotting Conditional Probability Distributions
\\
1.8. Further Reading \\
2. The Continuous Case: Gaussian Bayesian Networks \\
2.1. Introductory Example: Crop Analysis \\
2.2. Graphical Representation \\
2.3. Probabilistic Representation \\
2.4. Estimating the Parameters: Correlation
Coefficients \\
2.5. Learning the DAG Structure: Tests and Scores \\
2.5.1. Conditional Independence Tests --Contents note
continued: 2.5.2. Network Scores \\
2.6. Using Gaussian Bayesian Networks \\
2.6.1. Exact Inference \\
2.6.2. Approximate Inference \\
2.7. Plotting Gaussian Bayesian Networks \\
2.7.1. Plotting DAGs \\
2.7.2. Plotting Conditional Probability Distributions
\\
2.8. More Properties \\
2.9. Further Reading \\
3. More Complex Cases: Hybrid Bayesian Networks \\
3.1. Introductory Example: Reinforcing Steel Rods \\
3.1.1. Mixing Discrete and Continuous Variables \\
3.1.2. Discretising Continuous Variables \\
3.1.3. Using Different Probability Distributions \\
3.2. Pest Example with JAGS \\
3.2.1. Modelling \\
3.2.2. Exploring \\
3.3. About BUGS \\
3.4. Further Reading \\
4. Theory and Algorithms for Bayesian Networks \\
4.1. Conditional Independence and Graphical Separation
\\
4.2. Bayesian Networks \\
4.3. Markov Blankets \\
4.4. Moral Graphs \\
4.5. Bayesian Network Learning \\
4.5.1. Structure Learning \\
4.5.1.1. Constraint-based Algorithms \\
4.5.1.2. Score-based Algorithms --Contents note
continued: 4.5.1.3. Hybrid Algorithms \\
4.5.2. Parameter Learning \\
4.6. Bayesian Network Inference \\
4.6.1. Probabilistic Reasoning and Evidence \\
4.6.2. Algorithms for Belief Updating \\
4.7. Causal Bayesian Networks \\
4.8. Further Reading \\
5. Software for Bayesian Networks \\
5.1. An Overview of R Packages \\
5.1.1. The deal Package \\
5.1.2. The catnet Package \\
5.1.3. The pcalg Package \\
5.2. BUGS Software Packages \\
5.2.1. Probability Distributions \\
5.2.2. Complex Dependencies \\
5.2.3. Inference Based on MCMC Sampling \\
5.3. Other Software Packages \\
5.3.1. BayesiaLab \\
5.3.2. Hugin \\
5.3.3. GeNIe \\
6. Real-World Applications of Bayesian Networks \\
6.1. Learning Protein-Signalling Networks \\
6.1.1. A Gaussian Bayesian Network \\
6.1.2. Discretising Gene Expressions \\
6.1.3. Model Averaging \\
6.1.4. Choosing the Significance Threshold \\
6.1.5. Handling Interventional Data \\
6.1.6. Querying the Network \\
6.2. Predicting the Body Composition --Contents note
continued: 6.2.1. Aim of the Study \\
6.2.2. Designing the Predictive Approach \\
6.2.2.1. Assessing the Quality of a Predictor \\
6.2.2.2. The Saturated BN \\
6.2.2.3. Convenient BNs \\
6.2.3. Looking for Candidate BNs \\
6.3. Further Reading \\
A. Graph Theory \\
A.1. Graphs, Nodes and Arcs \\
A.2. The Structure of a Graph \\
A.3. Further Reading \\
B. Probability Distributions \\
B.1. General Features \\
B.2. Marginal and Conditional Distributions \\
B.3. Discrete Distributions \\
B.3.1. Binomial Distribution \\
B.3.2. Multinomial Distribution \\
B.3.3. Other Common Distributions \\
B.3.3.1. Bernoulli Distribution \\
B.3.3.2. Poisson Distribution \\
B.4. Continuous Distributions \\
B.4.1. Normal Distribution \\
B.4.2. Multivariate Normal Distribution \\
B.4.3. Other Common Distributions \\
B.4.3.1. Chi-square Distribution \\
B.4.3.2. Student's t Distribution \\
B.4.3.3. Beta Distribution \\
B.4.3.4. Dirichlet Distribution \\
B.5. Conjugate Distributions \\
B.6. Further Reading C. A Note about Bayesian Networks
\\
C.1. Bayesian Networks and Bayesian Statistics",
}
@Article{Sigrist:2015:PRP,
author = "Fabio Sigrist and Hans R. K{\"u}nsch and Werner A.
Stahel",
title = "\pkg{spate}: An {R} Package for Spatio-Temporal
Modeling with a Stochastic Advection-Diffusion
Process",
journal = j-J-STAT-SOFT,
volume = "63",
number = "14",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:11 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i14",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-04-09; Accepted 2014-10-13",
}
@Book{SouzadeCursi:2015:UQS,
author = "Eduardo {Souza de Cursi} and Rubens Sampaio",
title = "Uncertainty Quantification and Stochastic Modeling
with {Matlab}",
publisher = "ISTE Press Ltd",
address = "London, UK",
year = "2015",
ISBN = "0-08-100471-0 (e-book), 1-78548-005-7",
ISBN-13 = "978-0-08-100471-5 (e-book), 978-1-78548-005-8",
LCCN = "QA274.2",
bibdate = "Tue Jan 12 16:21:50 MST 2016",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://alltitles.ebrary.com/Doc?id=11040161;
http://lib.myilibrary.com?id=762946;
http://public.eblib.com/choice/PublicFullRecord.aspx?p=2007484;
http://www.sciencedirect.com/science/book/9781785480058",
abstract = "Uncertainty Quantification (UQ) is a relatively new
research area which describes the methods and
approaches used to supply quantitative descriptions of
the effects of uncertainty, variability and errors in
simulation problems and models. It is rapidly becoming
a field of increasing importance, with many real-world
applications within statistics, mathematics,
probability and engineering, but also within the
natural sciences. Literature on the topic has up until
now been largely based on polynomial chaos, which
raises difficulties when considering different types of
approximation and does not lead to a unified
presentation of the methods. Moreover, this description
does not consider either deterministic problems or
infinite dimensional ones. This book gives a unified,
practical and comprehensive presentation of the main
techniques used for the characterization of the effect
of uncertainty on numerical models and on their
exploitation in numerical problems. In particular,
applications to linear and nonlinear systems of
equations, differential equations, optimization and
reliability are presented. Applications of stochastic
methods to deal with deterministic numerical problems
are also discussed. Matlab? illustrates the
implementation of these methods and makes the book
suitable as a textbook and for self-study.",
acknowledgement = ack-nhfb,
subject = "Stochastic models; Uncertainty (Information theory);
MATHEMATICS / Applied; MATHEMATICS / Probability and
Statistics / General; Stochastic models.; Uncertainty
(Information theory); Stochastic partial differential
equations",
tableofcontents = "Introduction \\
1: Elements of Probability Theory and Stochastic
Processes \\
1.1. Notation \\
1.2. Numerical Characteristics of Finite Populations
\\
1.3. Matlab Implementation \\
1.4. Couples of Numerical Characteristics \\
1.5. Matlab Implementation \\
1.6. Hilbertian Properties of the Numerical
Characteristics \\
1.7. Measure and Probability \\
1.8. Construction of Measures \\
1.9. Measures, Probability and Integrals in Infinite
Dimensional Spaces \\
1.10. Random Variables \\
1.11. Hilbertian Properties of Random Variables \\
1.12. Sequences of Random Variables \\
1.13. Some Usual Distributions \\
1.14. Samples of Random Variables \\
1.15. Gaussian Samples \\
1.16. Stochastic Processes \\
1.17. Hilbertian Structure \\
1.18. Wiener Process \\
1.19. Ito Integrals \\
1.20. Ito Calculus \\
2: Maximum Entropy and Information \\
2.1. Construction of a Stochastic Model \\
2.2. The Principle of Maximum Entropy \\
2.3. Generating Samples of Random Variables, Random
Vectors and Stochastic Processes \\
2.4. Karhunen-Lo{\`e}ve Expansions and Numerical
Generation of Variates from Stochastic Processes 3:
Representation of Random Variables \\
3.1. Approximations Based on Hilbertian Properties \\
3.2. Approximations Based on Statistical Properties
(Moment Matching Method) \\
3.3. Interpolation-Based Approximations (Collocation)
\\
4: Linear Algebraic Equations Under Uncertainty \\
4.1. Representation of the Solution of Uncertain Linear
Systems \\
4.2. Representation of Eigenvalues and Eigenvectors of
Uncertain Matrices \\
4.3. Stochastic Methods for Deterministic Linear
Systems \\
5: Nonlinear Algebraic Equations Involving Random
Parameters 5.1. Nonlinear Systems of Algebraic
Equations \\
5.2. Numerical Solution of Noisy Deterministic Systems
of Nonlinear Equations \\
6: Differential Equations Under Uncertainty \\
6.1. The Case of Linear Differential Equations \\
6.2. The Case of Nonlinear Differential Equations \\
6.3. The Case of Partial Differential Equations \\
6.4. Reduction of Hamiltonian Systems \\
6.5. Local Solution of Deterministic Differential
Equations by Stochastic Simulation \\
6.6. Statistics of Dynamical Systems \\
7: Optimization Under Uncertainty 7.1. Representation
of the Solutions in Unconstrained Optimization \\
7.2. Stochastic Methods in Deterministic Continuous
Optimization \\
7.3. Population-Based Methods \\
7.4. Determination of Starting Points \\
8: Reliability-Based Optimization \\
8.1. The Model Situation \\
8.2. Reliability Index \\
8.3. FORM \\
8.4. The Bi-Level or Double-Loop Method \\
8.5. One-Level or Single-Loop Approach \\
8.6. Safety Factors \\
Bibliography \\
Index",
}
@Article{Sund:2015:BRB,
author = "Reijo Sund",
title = "Book Review: {{\booktitle{Multistate Analysis of Life
Histories with R}}}",
journal = j-INT-STAT-REV,
volume = "83",
number = "2",
pages = "324--325",
month = aug,
year = "2015",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12111_1",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Sun Aug 2 09:54:19 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "30 Jul 2015",
}
@Article{Tang:2015:DRP,
author = "Xinyu Tang and Maria Melguizo",
title = "\pkg{DTR}: An {R} Package for Estimation and
Comparison of Survival Outcomes of Dynamic Treatment",
journal = j-J-STAT-SOFT,
volume = "65",
number = "7",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i07",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-12-01; Accepted 2014-09-23",
}
@Article{Taylor:2015:BID,
author = "Benjamin M. Taylor and Tilman M. Davies and Barry S.
Rowlingson and Peter J. Diggle",
title = "{Bayesian} Inference and Data Augmentation Schemes for
Spatial, Spatiotemporal and Multivariate Log-{Gaussian}
{Cox} Processes in {R}",
journal = j-J-STAT-SOFT,
volume = "63",
number = "7",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Wed Feb 11 10:31:34 MST 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i07",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-08; Accepted 2014-05-17",
}
@Article{Templ:2015:SDC,
author = "Matthias Templ and Alexander Kowarik and Bernhard
Meindl",
title = "Statistical Disclosure Control for Micro-Data Using
the {R} Package \pkg{sdcMicro}",
journal = j-J-STAT-SOFT,
volume = "67",
number = "4",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v067.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:56:20 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v067i04;
http://www.jstatsoft.org/index.php/jss/article/view/v067i04/v67i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Touloumis:2015:RPP,
author = "Anestis Touloumis",
title = "{R} Package \pkg{multgee}: A Generalized Estimating
Equations Solver for Multinomial Responses",
journal = j-J-STAT-SOFT,
volume = "64",
number = "8",
pages = "??--??",
month = mar,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:15 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v64/i08",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-06-08; Accepted 2014-07-24",
}
@Article{Umlauf:2015:SAR,
author = "Nikolaus Umlauf and Daniel Adler and Thomas Kneib and
Stefan Lang and Achim Zeileis",
title = "Structured Additive Regression Models: An {R}
Interface to \pkg{BayesX}",
journal = j-J-STAT-SOFT,
volume = "63",
number = "21",
pages = "??--??",
month = feb,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 28 11:31:11 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v63/i21",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2012-05-24; Accepted 2014-08-29",
}
@Book{Unwin:2015:GDA,
author = "Antony Unwin",
title = "Graphical Data Analysis with {R}",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xiii + 296",
year = "2015",
ISBN = "1-4987-1523-0 (hardcover)",
ISBN-13 = "978-1-4987-1523-2 (hardcover)",
LCCN = "QA76.9.I52 U59 2015",
bibdate = "Tue Jan 12 16:46:53 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "\booktitle{Graphical Data Analysis with R} shows you
what information you can gain from graphical displays.
The book focuses on why you draw graphics to display
data and which graphics to draw (and uses R to do so).
All the datasets are available in R or one of its
packages and the R code is available at
\url{rosuda.org/GDA}. Graphical data analysis is useful
for data cleaning, exploring data structure, detecting
outliers and unusual groups, identifying trends and
clusters, spotting local patterns, evaluating modelling
output, and presenting results. This book guides you in
choosing graphics and understanding what information
you can glean from them. It can be used as a primary
text in a graphical data analysis course or as a
supplement in a statistics course. Colour graphics are
used throughout. Features: Concentrates on why graphics
are drawn and what they reveal --- Emphasises the value
of drawing a variety of different graphics --- Uses
real datasets in R to show how graphical data analysis
works in practice --- Supplies R code for all the
graphics on the author's website --- Includes a set of
exercises in each chapter to facilitate hands-on
learning.",
acknowledgement = ack-nhfb,
subject = "Information visualization; Visual analytics; Data
mining; Graphic methods; R (Computer program
language)",
}
@Article{Vervloet:2015:PRP,
author = "Marlies Vervloet and Henk A. L. Kiers and Wim {Van den
Noortgate} and Eva Ceulemans",
title = "\pkg{PCovR}: An {R} Package for Principal Covariates
Regression",
journal = j-J-STAT-SOFT,
volume = "65",
number = "8",
pages = "??--??",
month = jun,
year = "2015",
CODEN = "JSSOBK",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 7 11:01:06 MDT 2015",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/v65/i08",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
pubdates = "Submitted 2013-03-22; Accepted 2014-09-17",
}
@Article{Wang:2015:VAR,
author = "Haichuan Wang and David Padua and Peng Wu",
title = "Vectorization of {Apply} to reduce interpretation
overhead of {R}",
journal = j-SIGPLAN,
volume = "50",
number = "10",
pages = "400--415",
month = oct,
year = "2015",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/2858965.2814273",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Tue Feb 16 12:01:43 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
abstract = "R is a popular dynamic language designed for
statistical computing. Despite R's huge user base, the
inefficiency in R's language implementation becomes a
major pain-point in everyday use as well as an obstacle
to apply R to solve large scale analytics problems. The
two most common approaches to improve the performance
of dynamic languages are: implementing more efficient
interpretation strategies and extending the interpreter
with Just-In-Time (JIT) compiler. However, both
approaches require significant changes to the
interpreter, and complicate the adoption by development
teams as a result. This paper presents a new approach
to improve execution efficiency of R programs by
vectorizing the widely used Apply class of operations.
Apply accepts two parameters: a function and a
collection of input data elements. The standard
implementation of Apply iteratively invokes the input
function with each element in the data collection. Our
approach combines data transformation and function
vectorization to convert the looping-over-data
execution of the standard Apply into a single
invocation of a vectorized function that contains a
sequence of vector operations over the input data. This
conversion can significantly speed-up the execution of
Apply operations in R by reducing the number of
interpretation steps. We implemented the vectorization
transformation as an R package. To enable the
optimization, all that is needed is to invoke the
package, and the user can use a normal R interpreter
without any changes. The evaluation shows that the
proposed method delivers significant performance
improvements for a collection of data analysis
algorithm benchmarks. This is achieved without any
native code generation and using only a single-thread
of execution.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J706",
remark = "OOPSLA '15 conference proceedings.",
}
@Article{Wason:2015:ORP,
author = "James Wason",
title = "\pkg{OptGS}: An {R} Package for Finding Near-Optimal
Group-Sequential Designs",
journal = j-J-STAT-SOFT,
volume = "66",
number = "2",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066i02;
http://www.jstatsoft.org/index.php/jss/article/view/v066i02/v66i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Welty:2015:MAR,
author = "Ethan Z. Welty and Christian E. Torgersen and Samuel
J. Brenkman and Jeffrey J. Duda and Jonathan B.
Armstrong",
title = "Multiscale Analysis of River Networks using the {R}
Package \pkg{linbin}",
journal = j-N-AM-J-FISH-MANAG,
volume = "35",
number = "4",
pages = "802--809",
month = aug,
year = "2015",
CODEN = "NAJMDP",
DOI = "https://doi.org/10.1080/02755947.2015.1044764",
ISSN = "0275-5947 (print), 1548-8675 (electronic)",
ISSN-L = "0275-5947",
bibdate = "Sat Nov 27 16:57:52 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/namjfishmanag2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "N. Am. J. Fish. Manag.",
fjournal = "North American Journal of Fisheries Management",
journal-URL = "https://afspubs.onlinelibrary.wiley.com/journal/15488675",
onlinedate = "17 July 2015",
}
@Article{Xiao:2015:RPT,
author = "Tao Xiao and G. A. Whitmore and Xin He and Mei-Ling
Ting Lee",
title = "The {R} Package \pkg{threg} to Implement Threshold
Regression Models",
journal = j-J-STAT-SOFT,
volume = "66",
number = "8",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v066.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 08:38:18 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v066i08;
http://www.jstatsoft.org/index.php/jss/article/view/v066i08/v66i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Zeugner:2015:BMA,
author = "Stefan Zeugner and Martin Feldkircher",
title = "{Bayesian} Model Averaging Employing Fixed and
Flexible Priors: The \pkg{BMS} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "68",
number = "4",
pages = "??--??",
month = "????",
year = "2015",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v068.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Tue Jan 12 09:19:33 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.jstatsoft.org/index.php/jss/article/view/v068i04;
http://www.jstatsoft.org/index.php/jss/article/view/v068i04/v68i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Agostinelli:2016:REG,
author = "Claudio Agostinelli and Alfio Marazzi and V{\'\i}ctor
J. Yohai and Alex Randriamiharisoa",
title = "Robust Estimation of the Generalized Loggamma Model:
The {R} Package \pkg{robustloggamma}",
journal = j-J-STAT-SOFT,
volume = "70",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v70.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:23 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v070i07;
https://www.jstatsoft.org/index.php/jss/article/view/v070i07/v70i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Agresti:2016:BRF,
author = "Alan Agresti",
title = "Book Review: {Friendly, Michael and Meyer, David.
\booktitle{Discrete Data Analysis with R: Visualization
and Modeling Techniques for Categorical and Count
Data}. Boca Raton, FL: CRC Press}",
journal = j-BIOMETRICS,
volume = "72",
number = "2",
pages = "659--660",
month = jun,
year = "2016",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12534",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:38 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "07 June 2016",
}
@Article{Albano:2016:ERP,
author = "Anthony D. Albano",
title = "\pkg{equate}: An {R} Package for Observed-Score
Linking and Equating",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i08;
https://www.jstatsoft.org/index.php/jss/article/view/v074i08/v74i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Allon:2016:PPR,
author = "Ayala Allon and Roy Luria",
title = "\pkg{prepdat} --- An {R} Package for Preparing
Experimental Data for Statistical Analysis",
journal = j-J-OPEN-RES-SOFT,
volume = "4",
number = "1",
pages = "e43--??",
day = "25",
month = nov,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.134",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:50 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.134/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Altieri:2016:BPS,
author = "L. Altieri and D. Cocchi and F. Greco and J. B. Illian
and E. M. Scott",
title = "{Bayesian} {P}-splines and advanced computing in {R}
for a changepoint analysis on spatio-temporal point
processes",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "86",
number = "13",
pages = "2531--2545",
year = "2016",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2016.1146280",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Wed Jul 13 07:30:41 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Article{Anonymous:2016:BRBb,
author = "Anonymous",
title = "Book Review: {{\booktitle{The Book of R}}, by Tilman
Davies. No Starch Press. ISBN 978-1-59327-651-5}",
journal = j-NETWORK-SECURITY,
volume = "2016",
number = "9",
pages = "4--4",
month = sep,
year = "2016",
CODEN = "NTSCF5",
DOI = "https://doi.org/10.1016/S1353-4858(16)30084-8",
ISSN = "1353-4858 (print), 1872-9371 (electronic)",
ISSN-L = "1353-4858",
bibdate = "Mon Dec 4 17:01:36 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/network-security.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S1353485816300848",
acknowledgement = ack-nhfb,
fjournal = "Network Security",
journal-URL = "https://www.sciencedirect.com/journal/network-security",
}
@Book{Bartolucci:2016:SAQ,
author = "Francesco Bartolucci and Silvia Bacci and Michela
Gnaldi",
title = "Statistical Analysis of Questionnaires: a Unified
Approach Based on {R} and Stata",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xxi + 308",
year = "2016",
ISBN = "1-4665-6849-6 (hardcover)",
ISBN-13 = "978-1-4665-6849-5 (hardcover)",
LCCN = "HA32 .B36 2016",
bibdate = "Sat Jan 13 07:46:29 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC interdisciplinary statistics
series",
abstract = "Provides both the theoretical framework behind testing
and measurement and a practical guide to performing
analyses based on the most advanced extensions and
developments of the models; Covers CTT and IRT basics,
including test validity and bias as well as the
well-known Rasch model and two- and three-parameter
logistic models; Discusses two fundamental aspects of
IRT analyses: estimation methods and diagnostic
instruments; Examines the most recent IRT developments,
including latent class and multidimensional models;
Shows how to implement the methods using Stata and R.",
acknowledgement = ack-nhfb,
subject = "Social sciences; Statistical methods; Computer
programs; Graphic methods; Questionnaires; Design;
Sampling (Statistics); Evaluation; R (Computer program
language); Stata",
tableofcontents = "1. Preliminaries \\
2. Classical test theory \\
3. Item response theory models for dichotomous items
\\
4. Item response theory models for polytomous items \\
5. Estimation methods and diagnostics \\
6. Some extensions of traditional item response theory
models",
}
@Article{Boersch-Supan:2016:PRF,
author = "Philipp H. Boersch-Supan",
title = "\pkg{rucrdtw}: Fast time series subsequence search in
{R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "1",
number = "7",
pages = "100:1--100:2",
month = nov,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00100",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00100",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "07 November 2016",
ORCID-numbers = "Philipp H. Boersch-Supan / 0000-0001-6723-6833",
}
@Article{Borg:2016:TFT,
author = "Markus Borg",
title = "{TuneR}: a framework for tuning software engineering
tools with hands-on instructions in {R}",
journal = j-J-SOFTW-EVOL-PROC,
volume = "28",
number = "6",
pages = "427--459",
month = jun,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1002/smr.1784",
ISSN = "2047-7473 (print), 2047-7481 (electronic)",
ISSN-L = "2047-7473",
bibdate = "Wed Jan 31 13:48:43 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jsoftwevolproc.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Software: Evolution and Process",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2047-7481",
}
@Article{Borja:2016:VBP,
author = "Mario Cortina Borja",
title = "A variation of the birthday problem",
journal = j-SIGNIF,
volume = "13",
number = "6",
pages = "12--13",
month = dec,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1740-9713.2016.00977.x",
ISSN = "1740-9705 (print), 1740-9713 (electronic)",
ISSN-L = "1740-9705",
bibdate = "Thu Aug 13 12:04:03 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/significance.bib",
acknowledgement = ack-nhfb,
ajournal = "Signif.",
fjournal = "Significance",
journal-URL = "https://rss.onlinelibrary.wiley.com/journal/17409713",
onlinedate = "05 December 2016",
}
@Book{Braun:2016:FCS,
author = "John Braun and Duncan James Murdoch",
title = "A first course in statistical programming with {R}",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
edition = "Second",
pages = "xiv + 215",
year = "2016",
DOI = "https://doi.org/10.1017/CBO9781316451090",
ISBN = "1-107-57646-6 (paperback), 1-316-45109-7 (e-book)",
ISBN-13 = "978-1-107-57646-9 (paperback), 978-1-316-45109-0
(e-book)",
LCCN = "QA276.45.R3 B73 2016",
bibdate = "Thu Sep 23 08:15:19 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "This new color edition of Braun and Murdoch's
bestselling textbook integrates use of the R Studio
platform and adds discussion of newer graphics systems,
extensive exploration of Markov chain Monte Carlo,
expert advice on common error messages, motivating
applications of matrix decompositions, and numerous new
examples and exercises. This is the only introduction
needed to start programming in R, the computing
standard for analyzing data. Co-written by an R core
team member and an established R author, this book
comes with real R code that complies with the standards
of the language. Unlike other introductory books on the
R system, this book emphasizes programming, including
the principles that apply to most computing languages,
and techniques used to develop more complex projects.
Solutions, datasets, and any errata are available from
the book's website. The many examples, all from real
applications, make it particularly useful for anyone
working in practical data analysis.",
acknowledgement = ack-nhfb,
author-dates = "John Braun (1963--), Duncan James Murdoch (1959--)",
subject = "R (Computer program language); Statistics; Data
processing; R (Langage de programmation); Manuels
d'enseignement sup{\'e}rieur; Statistique;
Informatique; R (Computer program language); Data
processing; R (logiciel); Informatique; R (logiciel);
Statistique",
tableofcontents = "Getting Started \\
Introduction to the R language \\
Programming statistical graphics \\
Programming with R \\
Simulation \\
Computational linear algebra \\
Numerical optimization",
}
@Article{Caron:2016:BRN,
author = "Fran{\c{c}}ois Caron",
title = "Book Review: {{\booktitle{Nonlinear Time Series:
Theory, methods, and applications with R examples}}, by
Randal Douc, Eric Moulines, David S. Stoffer}",
journal = j-STAT-COMPUT,
volume = "26",
number = "1--2",
pages = "571--572",
month = jan,
year = "2016",
CODEN = "STACE3",
DOI = "https://doi.org/10.1007/s11222-015-9575-4",
ISSN = "0960-3174 (print), 1573-1375 (electronic)",
ISSN-L = "0960-3174",
bibdate = "Thu Apr 7 09:58:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statcomput.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s11222-015-9575-4;
http://link.springer.com/article/10.1007/s11222-015-9575-4",
acknowledgement = ack-nhfb,
fjournal = "Statistics and Computing",
journal-URL = "http://link.springer.com/journal/11222",
}
@Article{Cepeda-Cuervo:2016:BBR,
author = "Edilberto Cepeda-Cuervo and Daniel Jaimes and
Margarita Mar{\'{\i}}n and Javier Rojas",
title = "{Bayesian} beta regression with \pkg{Bayesianbetareg}
{R}-package",
journal = j-COMP-STAT,
volume = "31",
number = "1",
pages = "165--187",
month = mar,
year = "2016",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-015-0591-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:48 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-015-0591-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Chambers:2016:ER,
author = "John M. Chambers",
title = "Extending {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xvii + 364",
year = "2016",
ISBN = "1-4987-7571-3 (paperback), 1-4987-7572-1 (e-book)",
ISBN-13 = "978-1-4987-7571-7 (paperback), 978-1-4987-7572-4
(e-book)",
LCCN = "QA276.45.R3 C436 2016",
bibdate = "Tue Nov 14 05:56:53 MST 2017",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC the R series",
abstract = "This book covers key concepts and techniques in R to
support analysis and research projects. It presents the
core ideas of R, provides programming guidance for
projects of all scales, and introduces new, valuable
techniques that extend R. The book first describes the
fundamental characteristics and background of R, giving
readers a foundation for the remainder of the text. It
next discusses topics relevant to programming with R,
including the apparatus that supports extensions. The
book then extends R's data structures through
object-oriented programming, which is the key technique
for coping with complexity. The book also incorporates
a new structure for interfaces applicable to a variety
of languages. This guide explains how to design and
organize extensions to R by correctly using objects,
functions, and interfaces. It enables current and
future users to add their own contributions and
packages to R.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing; MATHEMATICS; Applied;
Probability and Statistics; General; Data processing; R
(Computer program language)",
tableofcontents = "Objects, functions and interfaces \\
Evolution \\
R in operation \\
Small, medium and large \\
Functions \\
Objects \\
Packages \\
In the large \\
Classes and methods in R \\
Functional OOP in R \\
Encapsulated OOP in R \\
Understanding interfaces \\
The XR structure for interfaces \\
An interface to Python \\
An interface to Julia \\
Subroutine interfaces",
}
@Article{Chan:2016:RPV,
author = "Stephen Chan and Saralees Nadarajah and Emmanuel
Afuecheta",
title = "An {R} Package for Value at Risk and Expected
Shortfall",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "45",
number = "9",
pages = "3416--??",
year = "2016",
DOI = "https://doi.org/10.1080/03610918.2014.944658",
bibdate = "Mon Sep 12 10:43:34 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
onlinedate = "Accepted author version posted online: 05 Jun 2015",
}
@Article{Crippa:2016:CSM,
author = "Alessio Crippa and Nicola Orsini",
title = "Code Snippet: Multivariate Dose-Response
Meta-Analysis: The \pkg{dosresmeta} {R} Package",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072c01;
https://www.jstatsoft.org/index.php/jss/article/view/v072c01/v72c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{DeBin:2016:BCR,
author = "Riccardo {De Bin}",
title = "Boosting in {Cox} regression: a comparison between the
likelihood-based and the model-based approaches with
focus on the {R}-packages \pkg{CoxBoost} and
\pkg{mboost}",
journal = j-COMP-STAT,
volume = "31",
number = "2",
pages = "513--531",
month = jun,
year = "2016",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-015-0642-2",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:48 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-015-0642-2",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Denwood:2016:RRP,
author = "Matthew J. Denwood",
title = "\pkg{runjags}: An {R} Package Providing Interface
Utilities, Model Templates, Parallel Computing Methods
and Additional Distributions for {MCMC} Models in
{JAGS}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i09;
https://www.jstatsoft.org/index.php/jss/article/view/v071i09/v71i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Eddelbuettel:2016:PRR,
author = "Dirk Eddelbuettel and Wush Wu",
title = "\pkg{RcppCNPy}: Read-Write Support for {NumPy} Files
in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "1",
number = "5",
pages = "55:1--55:1",
month = sep,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00055",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00055",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "25 September 2016",
ORCID-numbers = "Dirk Eddelbuettel / 0000-0001-6419-907X; Wush Wu /
0000-0001-5180-0567",
}
@Article{Eddelbuettel:2016:REC,
author = "Dirk Eddelbuettel and Murray Stokely and Jeroen Ooms",
title = "\pkg{RProtoBuf}: Efficient Cross-Language Data
Serialization in {R}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i02;
https://www.jstatsoft.org/index.php/jss/article/view/v071i02/v71i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Ekstrom:2016:RP,
author = "Claus Thorn Ekstr{\o}m",
title = "The {R} primer",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xvii + 408",
year = "2016",
ISBN = "1-4987-7255-2 (hardcover), 1-138-63197-3 (paperback),
1-138-05856-4 (paperback)",
ISBN-13 = "978-1-4987-7255-6 (hardcover), 978-1-138-63197-7
(paperback), 978-1-138-05856-9 (paperback)",
LCCN = "QA276.45.R3 E37 2016",
bibdate = "Tue Nov 14 05:50:56 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Praise for the first edition: ``This book provides a
good introduction to R, using a clear layout and
detailed, reproducible examples. An ideal tool for any
new R user\ldots{} A wide range of topics are covered,
making the book suitable for a variety of readers, from
undergraduate students to professionals new to R
\ldots{} an extremely helpful introduction to a very
useful statistical package.'' -Claire Keeble, Journal
of Applied Statistics, 2012. \booktitle{The R Primer}
provides a collection of concise examples with
solutions and interpretations of R problems frequently
encountered by new users of this statistical software.
Maintaining all the material from the first edition and
adding substantial new material, the 2nd edition of
\booktitle{The R Primer} contains numerous examples
that illustrate a specific situation, topic, or
problem, including data importing, data management,
classical statistical analyses, and high-quality
graphical production. Each example is self-contained
and includes R code that can be run exactly as shown,
enabling results from the book to be replicated. New to
the Second Edition: * Completely revised and updated
with suggestions for using new and improved R packages
* Expanded with over 100 more pages * New solutions for
covering areas from web scraping over data wrangling to
waffle plots and hanging rootograms. * Additional
intermediate and advanced topics in statistical data
analysis including non-parametric statistics, random
forests, penalized regression and curve smoothing.
Claus Thorn Ekstr{\"o}m is Professor at the Section of
Biostatistics, University of Copenhagen where he
teaches courses on statistics and R for beginners and
advanced users. Professor Ekstr{\o}m's primary research
interests lie within statistical genetics, genetic
epidemiology, and bioinformatics, in particular genetic
association studies, image analysis of microarray
scans, and integrated analysis of gene expression and
metabolic profile data.",
acknowledgement = ack-nhfb,
author-dates = "1971--",
subject = "R (Computer program language); Mathematical
statistics; Data processing",
tableofcontents = "Preface \\
Importing data \\
Reading spreadsheets \\
Importing data from other statistical software programs
\\
Exporting data \\
Manipulating data \\
Working with data frames \\
Factors \\
Transforming variables \\
Statistical analyses \\
Descriptive statistics \\
Linear models \\
Generalized linear models \\
Methods for analysis of repeated measurements \\
Specific methods \\
Model validation \\
Contingency tables \\
Agreement \\
Multivariate methods \\
Resampling statistics and bootstrapping \\
Robust statistics \\
Non-parametric methods \\
Survival analysis \\
Graphics \\
High-level plots \\
More advanced graphics \\
Working with graphics \\
Getting information \\
R packages \\
The R workspace \\
R Studio \\
Getting information \\
Using R Studio for reproducible research \\
Large datasets \\
Bibliography",
}
@Book{Faraway:2016:ELM,
author = "Julian James Faraway",
title = "Extending the Linear Model with {R}: Generalized
Linear, Mixed Effects and Nonparametric Regression
Models",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
edition = "Second",
pages = "xiii + 399",
year = "2016",
ISBN = "1-4987-2096-X",
ISBN-13 = "978-1-4987-2096-0",
LCCN = "QA279 .F368 2016",
bibdate = "Sat Jun 27 08:33:07 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
acknowledgement = ack-nhfb,
subject = "Analysis of variance; Regression analysis; R (Computer
program language); Mathematical models",
}
@Article{Fernandez-Duran:2016:CRP,
author = "Juan Jos{\'e} Fern{\'a}ndez-Dur{\'a}n and Mar{\'\i}a
Mercedes Gregorio-Dom{\'\i}nguez",
title = "\pkg{CircNNTSR}: An {R} Package for the Statistical
Analysis of Circular, Multivariate Circular, and
Spherical Data Using Nonnegative Trigonometric Sums",
journal = j-J-STAT-SOFT,
volume = "70",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v70.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:23 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v070i06;
https://www.jstatsoft.org/index.php/jss/article/view/v070i06/v70i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Fox:2016:RJS,
author = "John Fox and Allison Leanage",
title = "{R} and the {{\booktitle{Journal of Statistical
Software}}}",
journal = j-J-STAT-SOFT,
volume = "73",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v73.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v073i02;
https://www.jstatsoft.org/index.php/jss/article/view/v073i02/v73i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Friedman:2016:SLI,
author = "Alon Friedman",
title = "Statistics for library and information services: a
primer for using open source {R} software for
accessibility and visualization",
publisher = "Rowman and Littlefield",
address = "Lanham, UK",
pages = "xvi + 355",
year = "2016",
ISBN = "1-4422-4992-7 (hardcover), 1-4422-4993-5 (e-book)",
ISBN-13 = "978-1-4422-4992-9 (hardcover), 978-1-4422-4993-6
(e-book)",
LCCN = "Z669.8 .F75 2016",
bibdate = "Wed Jan 31 05:35:01 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
author-dates = "1966--",
subject = "Information science; Statistical methods; Library
statistics; R (Computer program language); Information
visualization",
tableofcontents = "Introduction \\
Research design \\
Data (types and collection methods) \\
How to run R \\
Descriptive statistics \\
Bivariate statistics \\
Probability theory \\
Random variables and probability distributions \\
Sampling distributions \\
Confidence interval estimation \\
Fundamentals of hypothesis testing \\
Correlation and regression \\
Analysis of variances and chi-square tests \\
Time series and predictive analytics \\
Visualization display \\
Advanced visualization display \\
Applying visualization to statistics analysis \\
Appendix A. Frequency used formulas used in this book
\\
Appendix B. Statistics tables (Z score and critical
values for student's T distribution) \\
Appendix C. Frequency R commands",
}
@Book{Friendly:2016:DDA,
author = "Michael Friendly and David Meyer",
title = "Discrete Data Analysis with {R}: Visualization and
Modeling Techniques for Categorical and Count Data",
volume = "120",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xvii + 544",
year = "2016",
ISBN = "1-4987-2583-X (pack book and ebook)",
ISBN-13 = "978-1-4987-2583-5 (pack book and ebook)",
LCCN = "QA300 .F744 2016",
bibdate = "Sat Jun 27 09:06:47 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
acknowledgement = ack-nhfb,
subject = "Mathematics; Data processing; R (Computer program
language)",
tableofcontents = "1. Introduction \\
1.1. Data visualization and categorical data: Overview
\\
1.2. What is categorical data? \\
1.2.1. Case form vs. frequency form \\
1.2.2. Frequency data vs. count data \\
1.2.3. Univariate, bivariate, and multivariate data \\
1.2.4. Explanatory vs. response variables \\
1.3. Strategies for categorical data analysis \\
1.3.1. Hypothesis testing approaches \\
1.3.2. Model building approaches \\
1.4. Graphical methods for categorical data \\
1.4.1. Goals and design principles for visual data
display \\
1.4.2. Categorical data require different graphical
methods \\
1.4.3. Effect ordering and rendering for data display
\\
1.4.4. Interactive and dynamic graphics \\
1.4.5. Visualization = Graphing + Fitting + Graphing
\\
1.4.6. Data plots, model plots, and data+model plots
\\
1.4.7. The 80-20 rule \\
1.5. Chapter summary \\
1.6. Lab exercises \\
2. Working with Categorical Data \\
2.1. Working with R data: vectors, matrices, arrays,
and data frames \\
2.1.1. Vectors \\
2.1.2. Matrices \\
2.1.3. Arrays \\
2.1.4. Data frames \\
2.2. Forms of categorical data: case form, frequency
form, and table form \\
2.2.1. Case form \\
2.2.2. Frequency form \\
2.2.3. Table form \\
2.3. Ordered factors and reordered tables \\
2.4. Generating tables: table and xtabs \\
2.4.1. table() \\
2.4.2. xtabs() \\
2.5. Printing tables: structable and ftable \\
2.5.1. Text output \\
2.6. Subsetting data \\
2.6.1. Subsetting tables \\
2.6.2. Subsetting structables \\
2.6.3. Subsetting data frames \\
2.7. Collapsing tables \\
2.7.1. Collapsing over table factors \\
2.7.2. Collapsing table levels \\
2.8. Converting among frequency tables and data frames
\\
2.8.1. Table form to frequency form \\
2.8.2. Case form to table form \\
2.8.3. Table form to case form \\
2.8.4. Publishing tables to LATEX or HTML \\
2.9. A complex example: TV viewing data* \\
2.9.1. Creating data frames and arrays \\
2.9.2. Subsetting and collapsing \\
2.10. Lab exercises \\
3. Fitting and Graphing Discrete Distributions \\
3.1. Introduction to discrete distributions \\
3.1.1. Binomial data \\
3.1.2. Poisson data \\
3.1.3. Type-token distributions \\
3.2. Characteristics of discrete distributions \\
3.2.1. The binomial distribution \\
3.2.2. The Poisson distribution \\
3.2.3. The negative binomial distribution \\
3.2.4. The geometric distribution \\
3.2.5. The logarithmic series distribution \\
3.2.6. Power series family \\
3.3. Fitting discrete distributions \\
3.3.1. R tools for discrete distributions \\
3.3.2. Plots of observed and fitted frequencies \\
3.4. Diagnosing discrete distributions: Ord plots \\
3.5. Poissonness plots and generalized distribution
plots \\
3.5.1. Features of the Poissonness plot \\
3.5.2. Plot construction \\
3.5.3. The distplot function \\
3.5.4. Plots for other distributions \\
3.6. Fitting discrete distributions as generalized
linear models* \\
3.6.1. Covariates, overdispersion, and excess zeros
3.7. Chapter summary \\
3.8. Lab exercises \\
4. Two-Way Contingency Tables \\
4.1. Introduction \\
4.2. Tests of association for two-way tables \\
4.2.1. Notation and terminology \\
4.2.2.2 by 2 tables: Odds and odds ratios \\
4.2.3. Larger tables: Overall analysis \\
4.2.4. Tests for ordinal variables \\
4.2.5. Sample CMH profiles \\
4.3. Stratified analysis \\
4.3.1. Computing strata-wise statistics \\
4.3.2. Assessing homogeneity of association \\
4.4. Fourfold display for 2 x 2 tables \\
4.4.1. Confidence rings for odds ratio \\
4.4.2. Stratified analysis for 2 x 2 x k tables \\
4.5. Sieve diagrams \\
4.5.1. Two-way tables \\
4.5.2. Larger tables: The strucplot framework \\
4.6. Association plots \\
4.7. Observer agreement \\
4.7.1. Measuring agreement \\
4.7.2. Observer agreement chart \\
4.7.3. Observer bias in agreement \\
4.8. Trilinear plots \\
4.9. Chapter summary \\
4.10. Lab exercises \\
5. Mosaic Displays for n-Way Tables \\
5.1. Introduction \\
5.2. Two-way tables \\
5.2.1. Shading levels \\
5.2.2. Interpretation and reordering \\
5.3. The strucplot framework \\
5.3.1. Components overview \\
5.3.2. Shading schemes \\
5.4. Three-way and larger tables \\
5.4.1. A primer on loglinear models \\
5.4.2. Fitting models \\
5.5. Model and plot collections \\
5.5.1. Sequential plots and models \\
5.5.2. Causal models \\
5.5.3. Partial association \\
5.6. Mosaic matrices for categorical data \\
5.6.1. Mosaic matrices for pairwise associations \\
5.6.2. Generalized mosaic matrices and pairs plots \\
5.7. 3D mosaics \\
5.8. Visualizing the structure of loglinear models \\
5.8.1. Mutual independence \\
5.8.2. Joint independence \\
5.9. Related visualization methods \\
5.9.1. Doubledecker plots \\
5.9.2. Generalized odds ratios* \\
5.10. Chapter summary \\
5.11. Lab exercises \\
6. Correspondence Analysis \\
6.1. Introduction \\
6.2. Simple correspondence analysis \\
6.2.1. Notation and terminology \\
6.2.2. Geometric and statistical properties \\
6.2.3. R software for correspondence analysis \\
6.2.4. Correspondence analysis and mosaic displays \\
6.3. Multi-way tables: Stacking and other tricks \\
6.3.1. Interactive coding in R \\
6.3.2. Marginal tables and supplementary variables \\
6.4. Multiple correspondence analysis \\
6.4.1. Bivariate MCA \\
6.4.2. The Burt matrix \\
6.4.3. Multivariate MCA \\
6.5. Biplots for contingency tables \\
6.5.1. CA bilinear biplots \\
6.5.2. Biadditive biplots \\
6.6. Chapter summary \\
6.7. Lab exercises \\
7. Logistic Regression Models \\
7.1. Introduction \\
7.2. The logistic regression model \\
7.2.1. Fitting a logistic regression model \\
7.2.2. Model tests for simple logistic regression \\
7.2.3. Plotting a binary response \\
7.2.4. Grouped binomial data \\
7.3. Multiple logistic regression models \\
7.3.1. Conditional plots \\
7.3.2. Full-model plots \\
7.3.3. Effect plots \\
7.4. Case studies \\
7.4.1. Simple models: Group comparisons and effect
plots \\
7.4.2. More complex models: Model selection and
visualization \\
7.5. Influence and diagnostic plots \\
7.5.1. Residuals and leverage \\
7.5.2. Influence diagnostics \\
7.5.3. Other diagnostic plots* \\
7.6. Chapter summary \\
7.7. Lab exercises \\
8. Models for Polytomous Responses \\
8.1. Ordinal response \\
8.1.1. Latent variable interpretation \\
8.1.2. Fitting the proportional odds model \\
8.1.3. Testing the proportional odds assumption \\
8.1.4. Graphical assessment of proportional odds \\
8.1.5. Visualizing results for the proportional odds
model \\
8.2. Nested dichotomies \\
8.3. Generalized logit model \\
8.4. Chapter summary \\
8.5. Lab exercises \\
9. Loglinear and LogIt Models for Contingency Tables
\\
9.1. Introduction \\
9.2. Loglinear models for frequencies \\
9.2.1. Loglinear models as ANOVA models for frequencies
\\
9.2.2. Loglinear models for three-way tables \\
9.2.3. Loglinear models as GLMs for frequencies \\
9.3. Fitting and testing loglinear models \\
9.3.1. Model fitting functions \\
9.3.2. Goodness-of-fit tests \\
9.3.3. Residuals for loglinear models \\
9.3.4. Using loglm() \\
9.3.5. Using glm() \\
9.4. Equivalent logit models \\
9.5. Zero frequencies \\
9.6. Chapter summary \\
9.7. Lab exercises \\
10. Extending Loglinear Models \\
10.1. Models for ordinal variables \\
10.1.1. Loglinear models for ordinal variables \\
10.1.2. Visualizing model structure \\
10.1.3. Log-multiplicative (RC) models \\
10.2. Square tables \\
10.2.1. Quasi-independence, symmetry, quasi-symmetry,
and topological models \\
10.2.2. Ordinal square tables \\
10.3. Three-way and higher-dimensional tables \\
10.4. Multivariate responses* \\
10.4.1. Bivariate, binary response models \\
10.4.2. More complex models \\
10.5. Chapter summary \\
10.6. Lab exercises \\
11. Generalized Linear Models for Count Data \\
11.1. Components of generalized linear models \\
11.1.1. Variance functions \\
11.1.2. Hypothesis tests for coefficients \\
11.1.3. Goodness-of-fit tests \\
11.1.4. Comparing non-nested models \\
11.2. GLMs for count data \\
11.3. Models for overdispersed count data \\
11.3.1. The quasi-Poisson model \\
11.3.2. The negative-binomial model \\
11.3.3. Visualizing the mean[?]variance relation \\
11.3.4. Testing overdispersion \\
11.3.5. Visualizing goodness-of-fit \\
11.4. Models for excess zero counts \\
11.4.1. Zero-inflated models \\
11.4.2. Hurdle models \\
11.4.3. Visualizing zero counts \\
11.5. Case studies \\
11.5.1. Cod parasites \\
11.5.2. Demand for medical care by the elderly \\
11.6. Diagnostic plots for model checking \\
11.6.1. Diagnostic measures and residuals for GLMs \\
11.6.2. Quantile--quantile and half-normal plots \\
11.7. Multivariate response GLM models* \\
11.7.1. Analyzing correlations: HE plots \\
11.7.2. Analyzing associations: Odds ratios and
fourfold plots \\
11.8. Chapter summary \\
11.9. Lab exercises",
}
@Article{Gabadinho:2016:ASS,
author = "Alexis Gabadinho and Gilbert Ritschard",
title = "Analyzing State Sequences with Probabilistic Suffix
Trees: The \pkg{PST} {R} Package",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i03;
https://www.jstatsoft.org/index.php/jss/article/view/v072i03/v72i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{George:2016:RPC,
author = "Ann Cathrice George and Alexander Robitzsch and Thomas
Kiefer and J{\"u}rgen Gro{\ss} and Ali {\"U}nl{\"u}",
title = "The {R} Package \pkg{CDM} for Cognitive Diagnosis
Models",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i02;
https://www.jstatsoft.org/index.php/jss/article/view/v074i02/v74i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Gerber:2016:GRP,
author = "Florian Gerber and Thomas Gsponer",
title = "\pkg{gsbDesign}: An {R} Package for Evaluating the
Operating Characteristics of a Group Sequential
{Bayesian} Design",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i11;
https://www.jstatsoft.org/index.php/jss/article/view/v069i11/v69i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Ghysels:2016:MFD,
author = "Eric Ghysels and Virmantas Kvedaras and Vaidotas
Zemlys",
title = "Mixed Frequency Data Sampling Regression Models: The
{R} Package \pkg{midasr}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i04;
https://www.jstatsoft.org/index.php/jss/article/view/v072i04/v72i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Gilleland:2016:EEV,
author = "Eric Gilleland and Richard W. Katz",
title = "\pkg{extRemes 2.0}: An Extreme Value Analysis Package
in {R}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i08;
https://www.jstatsoft.org/index.php/jss/article/view/v072i08/v72i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Gillespie:2016:ERP,
author = "Colin (Colin Stevenson) Gillespie and Robin Lovelace",
title = "Efficient {R} programming: a practical guide to
smarter programming",
publisher = pub-ORA-MEDIA,
address = pub-ORA-MEDIA:adr,
pages = "xiii + 203",
year = "2016",
ISBN = "1-4919-5078-1 (paperback), 1-4919-5072-2 (e-book),
1-4919-5075-7 (e-book), 1-4919-5073-0 (e-book)",
ISBN-13 = "978-1-4919-5078-4 (paperback), 978-1-4919-5072-2
(e-book), 978-1-4919-5075-3 (e-book), 978-1-4919-5073-9
(e-book)",
LCCN = "QA276.45.R3 G55 2016",
bibdate = "Sat Jan 13 07:32:59 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://proquest.safaribooksonline.com/9781491950777",
abstract = "There are many excellent R resources for
visualization, data science, and package development.
Hundreds of scattered vignettes, web pages, and forums
explain how to use R in particular domains. But little
has been written on how to simply make R work
effectively --- until now. This hands-on book teaches
novices and experienced R users how to write efficient
R code. Drawing on years of experience teaching R
courses, authors Colin Gillespie and Robin Lovelace
provide practical advice on a range of topics-from
optimizing the set-up of RStudio to leveraging C++-that
make this book a useful addition to any R user's
bookshelf. Academics, business users, and programmers
from a wide range of backgrounds stand to benefit from
the guidance in \booktitle{Efficient R Programming}.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Quality or Trade
Paperback; Computers --- General Information; Data
Processing; Programming --- Object Oriented; Databases
Data Mining; R (Computer program language)",
tableofcontents = "Preface \\
Conventions Used in This Book \\
Using Code Examples \\
O'Reilly Safari \\
How to Contact Us \\
Acknowledgments \\
Colin \\
Robin \\
1. Introduction \\
Prerequisites \\
Who This Book Is for and How to Use It \\
What Is Efficiency? \\
What Is Efficient R Programming? \\
Why Efficiency? \\
Cross-Transferable Skills for Efficiency \\
Touch Typing \\
Consistent Style and Code Conventions \\
Benchmarking and Profiling \\
Benchmarking \\
Benchmarking Example \\
Profiling \\
Book Resources \\
R Package \\
Online Version \\
References \\
2. Efficient Setup \\
Prerequisites \\
Top Five Tips for an Efficient R Setup \\
Operating System \\
Operating System and Resource Monitoring \\
R Version \\
Installing R \\
Updating R \\
Installing R Packages \\
Installing R Packages with Dependencies \\
Updating R Packages \\
R Startup \\
R Startup Arguments \\
An Overview of R's Startup Files \\
The Location of Startup Files \\
The .Rprofile File \\
Example .Rprofile File \\
The .Renviron File \\
RStudio \\
Installing and Updating RStudio \\
Window Pane Layout \\
RStudio Options \\
Autocompletion \\
Keyboard Shortcuts \\
Object Display and Output Table \\
Project Management \\
BLAS and Alternative R Interpreters \\
Testing Performance Gains from BLAS \\
Other Interpreters \\
Useful BLAS/Benchmarking Resources \\
References \\
3. Efficient Programming \\
Prerequisites \\
Top Five Tips for Efficient Programming \\
General Advice \\
Memory Allocation \\
Vectorized Code \\
Communicating with the User \\
Fatal Errors: stop() \\
Warnings: warning() \\
Informative Output: message() and cat() \\
Invisible Returns \\
Factors \\
Inherent Order \\
Fixed Set of Categories \\
The Apply Family \\
Example: Movies Dataset \\
Type Consistency \\
Caching Variables \\
Function Closures \\
The Byte Compiler \\
Example: The Mean Function \\
Compiling Code \\
References \\
4. Efficient Workflow \\
Prerequisites \\
Top Five Tips for Efficient Workflow \\
A Project Planning Typology \\
Project Planning and Management \\
Chunking Your Work \\
Making Your Workflow SMART \\
Visualizing Plans with R \\
Package Selection \\
Searching for R Packages \\
How to Select a Package \\
Publication \\
Dynamic Documents with R Markdown \\
R Packages \\
Reference \\
5. Efficient Input/Output \\
Prerequisites \\
Top Five Tips for Efficient Data I/O \\
Versatile Data Import with rio \\
Plain-Text Formats \\
Differences Between fread() and read\_csv() \\
Preprocessing Text Outside R \\
Binary File Formats \\
Native Binary Formats: Rdata or Rds? \\
The Feather File Format \\
Benchmarking Binary File Formats \\
Protocol Buffers \\
Getting Data from the Internet \\
Accessing Data Stored in Packages \\
References \\
6. Efficient Data Carpentry \\
Prerequisites \\
Top Five Tips for Efficient Data Carpentry \\
Efficient Data Frames with tibble \\
Tidying Data with tidyr and Regular Expressions \\
Make Wide Tables Long with gather() \\
Split Joint Variables with separate() \\
Other tidyr Functions \\
Regular Expressions \\
Efficient Data Processing with dplyr \\
Renaming Columns \\
Changing Column Classes \\
Filtering Rows",
}
@Article{Giraud:2016:PCC,
author = "Timoth{\'e}e Giraud and Nicolas Lambert",
title = "\pkg{cartography}: Create and Integrate Maps in your
{R} Workflow",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "1",
number = "4",
pages = "54:1--54:2",
month = aug,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00054",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00054",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "30 August 2016",
ORCID-numbers = "Timoth{\'e}e Giraud / 0000-0002-1932-3323",
}
@Article{Glenn:2016:BRS,
author = "Ezra Haber Glenn",
title = "Book Review: {{\booktitle{Spatial Microsimulation with
R}}, Robin Lovelace and Morgane Dumont, Chapman \&
Hall/CRC, Boca Raton, 2016. ISBN 978-1-4987-1154-8. 259
pp. USD 89.95 (P), 62.97 (eBook).
\url{https://www.crcpress.com/9781498711548}}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072b01;
https://www.jstatsoft.org/index.php/jss/article/view/v072b01/v72b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Glenn:2016:WAC,
author = "Ezra Haber Glenn",
title = "Working with the {American Community Survey} in {R}: a
guide to using the \pkg{ACS} package",
publisher = "Springer Science+Business Media",
address = "New York, NY, USA",
pages = "viii + 53",
year = "2016",
DOI = "https://doi.org/10.1007/978-3-319-45772-7",
ISBN = "3-319-45771-3",
ISBN-13 = "978-3-319-45771-0",
LCCN = "HA201.122",
bibdate = "Sat Jan 13 07:41:11 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://link.springer.com/10.1007/978-3-319-45772-7",
abstract = "This book serves as a hands-on guide to the ``acs'' R
package for demographers, planners, and other
researchers who work with American Community Survey
(ACS) data. It gathers the most common problems
associated with using ACS data and implements functions
as a package in the R statistical programming language.
The package defines a new ``acs'' class object
(containing estimates, standard errors, and metadata
for tables from the ACS) with methods to deal
appropriately with common tasks (e.g., creating and
combining subgroups or geographies, automatic fetching
of data via the Census API, mathematical operations on
estimates, tests of significance, plots of confidence
intervals).",
acknowledgement = ack-nhfb,
tableofcontents = "Preface \\
Acknowledgments \\
Contents \\
1 The Dawn of the ACS: The Nature of Estimates \\
1.1 Challenges of Estimates in General \\
1.2 Challenges of Multi-Year Estimates in Particular
\\
1.3 Additional Issues in Using ACS Data \\
1.4 Putting it All Together: A Brief Example \\
2 Getting Started in R \\
2.1 Introduction \\
2.2 Getting and Installing R \\
2.3 Getting and Installing the acs Package \\
2.3.1 Installing from cran \\
2.3.2 Installing from a Zipped Tarball \\
2.4 Getting and Installing a Census API Key \\
2.4.1 Using a Blank Key: An Informal Workaround \\
3 Working with the New Functions \\
3.1 Overview \\
3.2 User-Specific Geographies \\
3.2.1 Basic Building Blocks: The Single Element geo.set
\\
3.2.2 But Where's the Data and \\
3.2.3 Real geo.sets: Complex Groups and Combinations
\\
3.2.4 Changing combine and combine.term \\
3.2.5 Nested and Flat geo.sets \\
3.2.6 Subsetting geo.sets \\
3.2.7 Two Tools to Reduce Frustration in Selecting
Geographies \\
3.3 Getting Data \\
3.3.1 acs.fetch(): The Workhorse Function \\
3.3.2 More Descriptive Variable Names: col.names= \\
3.3.3 The acs.lookup() Function: Finding the Variables
You Want \\
4 Exporting Data \\
5 Additional Resources A \\
A Worked Example Using Blockgroup-Level Data and Nested
Combined geo.sets \\
A. 1 Making the geo.set \\
A.2 Using combine=T to Make a Neighborhood \\
A.3 Even More Complex geo.sets \\
A.4 Gathering Neighborhood Data on Transit Mode-Share
\\
References",
}
@Article{Gramacy:2016:LLS,
author = "Robert B. Gramacy",
title = "\pkg{laGP}: Large-Scale Spatial Modeling via Local
Approximate {Gaussian} Processes in {R}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i01;
https://www.jstatsoft.org/index.php/jss/article/view/v072i01/v72i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Griffith:2016:CSC,
author = "Daniel M. Griffith and Joseph A. Veech and Charles J.
Marsh",
title = "Code Snippet: \pkg{cooccur}: Probabilistic Species
Co-Occurrence Analysis in {R}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.c02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069c02;
https://www.jstatsoft.org/index.php/jss/article/view/v069c02/v69c02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Gromping:2016:BRP,
author = "Ulrike Gr{\"o}mping",
title = "Book Review: {{\booktitle{Practical Guide to Logistic
Regression}}, Joseph M. Hilbe, Chapman \& Hall/CRC,
Boca Raton, 2016. ISBN 978-1-4987-0957-6. 174 pp. USD
49.95 (P).
\url{https://www.crcpress.com/9781498709576}}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071b03;
https://www.jstatsoft.org/index.php/jss/article/view/v071b03/v71b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Helmreich:2016:BRL,
author = "James E. Helmreich",
title = "Book Review: {{\booktitle{Learning Base R}}}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.b04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069b04;
https://www.jstatsoft.org/index.php/jss/article/view/v069b04/v69b04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Hewson:2016:BRS,
author = "Paul Hewson",
title = "Book reviews: {{\booktitle{Statistical Rethinking: a
Bayesian Course with Examples in R and Stan}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "179",
number = "4",
pages = "1131--1132",
month = oct,
year = "2016",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12221",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sun Oct 9 09:07:51 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
}
@Article{Hickey:2016:RMG,
author = "Peter F. Hickey",
title = "Representation and Manipulation of Genomic Tuples in
{R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "1",
number = "1",
pages = "20:1--20:1",
month = may,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00020",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00020",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "28 May 2016",
ORCID-numbers = "Peter F. Hickey / 0000-0002-8153-6258",
}
@Article{Hlavac:2016:EEB,
author = "Marek Hlavac",
title = "\pkg{ExtremeBounds}: Extreme Bounds Analysis in {R}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i09;
https://www.jstatsoft.org/index.php/jss/article/view/v072i09/v72i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Hofert:2016:POS,
author = "Marius Hofert and Martin M{\"a}chler",
title = "Parallel and Other Simulations in {R} Made Easy: An
End-to-End Study",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
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https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i04;
https://www.jstatsoft.org/index.php/jss/article/view/v069i04/v69i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Hofner:2016:GRP,
author = "Benjamin Hofner and Andreas Mayr and Matthias Schmid",
title = "\pkg{gamboostLSS}: An {R} Package for Model Building
and Variable Selection in the {GAMLSS} Framework",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
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https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i01;
https://www.jstatsoft.org/index.php/jss/article/view/v074i01/v74i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Howard:2016:BRM,
author = "James P. {Howard II}",
title = "Book Review: {{\booktitle{Meta-Analysis with R}}}",
journal = j-J-STAT-SOFT,
volume = "70",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v70.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Mar 11 18:55:40 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v070b01;
https://www.jstatsoft.org/index.php/jss/article/view/v070b01/v70b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Howard:2016:BRP,
author = "James P. {Howard II}",
title = "Book Review: {{\booktitle{Political Analysis Using
R}}, James E. Monogan III, Springer-Verlag, New York,
2015. ISBN 978-3-319-23446-5. 242 pp. USD 59.99 (S).
\url{http://www.springer.com/9783319234458}}",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074b01;
https://www.jstatsoft.org/index.php/jss/article/view/v074b01/v74b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Irurozki:2016:PRP,
author = "Ekhine Irurozki and Borja Calvo and Jose A. Lozano",
title = "\pkg{PerMallows}: An {R} Package for {Mallows} and
Generalized {Mallows} Models",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i12",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i12;
https://www.jstatsoft.org/index.php/jss/article/view/v071i12/v71i12.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Jackson:2016:FPP,
author = "Christopher Jackson",
title = "\pkg{flexsurv}: A Platform for Parametric Survival
Modeling in {R}",
journal = j-J-STAT-SOFT,
volume = "70",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v70.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:23 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v070i08;
https://www.jstatsoft.org/index.php/jss/article/view/v070i08/v70i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kastner:2016:DSV,
author = "Gregor Kastner",
title = "Dealing with Stochastic Volatility in Time Series
Using the {R} Package \pkg{stochvol}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i05;
https://www.jstatsoft.org/index.php/jss/article/view/v069i05/v69i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Khademi:2016:BRB,
author = "Abdolvahab Khademi",
title = "Book Review: {{\booktitle{Basics of Matrix Algebra for
Statistics with R}}, Nick Fieller, Chapman \& Hall/CRC,
Boca Raton, 2016. ISBN 978-1-4987-1236-1. xviii + 226
pp. USD 59.95 (H).
\url{https://www.crcpress.com/9781498712361}}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071b01;
https://www.jstatsoft.org/index.php/jss/article/view/v071b01/v71b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{King:2016:SIP,
author = "Aaron A. King and Dao Nguyen and Edward L. Ionides",
title = "Statistical Inference for Partially Observed {Markov}
Processes via the {R} Package \pkg{pomp}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i12",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i12;
https://www.jstatsoft.org/index.php/jss/article/view/v069i12/v69i12.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kondo:2016:RRP,
author = "Yumi Kondo and Matias Salibian-Barrera and Ruben
Zamar",
title = "\pkg{RSKC}: An {R} Package for a Robust and Sparse
{$K$}-Means Clustering Algorithm",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i05;
https://www.jstatsoft.org/index.php/jss/article/view/v072i05/v72i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kostenko:2016:BRG,
author = "Andrey Kostenko",
title = "Book Review: {{\booktitle{Graphical Data Analysis with
R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "179",
number = "3",
pages = "880--880",
month = jun,
year = "2016",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12200",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Jun 8 06:27:23 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
}
@Article{Kowarik:2016:IRP,
author = "Alexander Kowarik and Matthias Templ",
title = "Imputation with the {R} Package {VIM}",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i07;
https://www.jstatsoft.org/index.php/jss/article/view/v074i07/v74i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{LafayedeMicheaux:2016:PPR,
author = "Pierre {Lafaye de Micheaux} and Viet Anh Tran",
title = "\pkg{PoweR}: A Reproducible Research Tool to Ease
{Monte Carlo} Power Simulation Studies for
Goodness-of-fit Tests in {R}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i03;
https://www.jstatsoft.org/index.php/jss/article/view/v069i03/v69i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lawson:2016:CSM,
author = "John Lawson and Cameron Willden",
title = "Code Snippet: Mixture Experiments in {R} Using
\pkg{mixexp}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.c02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072c02;
https://www.jstatsoft.org/index.php/jss/article/view/v072c02/v72c02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lenth:2016:LSM,
author = "Russell V. Lenth",
title = "Least-Squares Means: The {R} Package \pkg{lsmeans}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i01;
https://www.jstatsoft.org/index.php/jss/article/view/v069i01/v69i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lewis:2016:BRC,
author = "Nando Lewis",
title = "Book reviews: {{\booktitle{Circular Statistics in
R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "179",
number = "4",
pages = "1132--1132",
month = oct,
year = "2016",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12222",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sun Oct 9 09:07:51 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
}
@Article{Liland:2016:FRP,
author = "Kristian Hovde Liland and Lars Snipen",
title = "\pkg{fixedTimeEvents}: an {R} package for the
distribution of distances between discrete events in
fixed time",
journal = j-SOFTWAREX,
volume = "5",
number = "??",
pages = "216--226",
month = "????",
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2016.09.003",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:31 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711016300310",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Liquet:2016:RGP,
author = "Beno{\^\i}t Liquet and Leonardo Bottolo and Gianluca
Campanella and Sylvia Richardson and Marc
Chadeau-Hyam",
title = "\pkg{R2GUESS}: A Graphics Processing Unit-Based {R}
Package for {Bayesian} Variable Selection Regression of
Multivariate Responses",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i02;
https://www.jstatsoft.org/index.php/jss/article/view/v069i02/v69i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Liu:2016:BRA,
author = "Shuangzhe Liu",
title = "Book Review: {{\booktitle{Analysis of Categorical Data
with R}}}",
journal = j-INT-STAT-REV,
volume = "84",
number = "1",
pages = "162--163",
month = apr,
year = "2016",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12173",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Thu Apr 7 09:02:47 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "6 Apr 2016",
}
@Article{Liu:2016:BRF,
author = "Shuangzhe Liu",
title = "Book Review: {Fieller, N.: \booktitle{Basics of Matrix
Algebra for Statistics with R}}",
journal = j-STAT-PAPERS,
volume = "57",
number = "3",
pages = "857--858",
month = sep,
year = "2016",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-016-0813-4",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Mon Jan 16 14:49:37 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/accesspage/article/10.1007/s00362-016-0813-4;
http://link.springer.com/article/10.1007/s00362-016-0813-4",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Luukko:2016:IPL,
author = "P. J. J. Luukko and J. Helske and E. R{\"a}s{\"a}nen",
title = "Introducing \pkg{libeemd}: a program package for
performing the ensemble empirical mode decomposition",
journal = j-COMP-STAT,
volume = "31",
number = "2",
pages = "545--557",
month = jun,
year = "2016",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-015-0603-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:48 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-015-0603-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Ma:2016:DFP,
author = "Edward Ma and Vishrut Gupta and Meichun Hsu and
Indrajit Roy",
title = "\pkg{dmapply}: a functional primitive to express
distributed machine learning algorithms in {R}",
journal = j-PROC-VLDB-ENDOWMENT,
volume = "9",
number = "13",
pages = "1293--1304",
month = sep,
year = "2016",
CODEN = "????",
ISSN = "2150-8097",
bibdate = "Wed Oct 12 10:19:51 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/vldbe.bib",
abstract = "Due to R's popularity as a data-mining tool, many
distributed systems expose an R-based API to users who
need to build a distributed application in R. As a
result, data scientists have to learn to use different
interfaces such as RHadoop, SparkR, Revolution R's
ScaleR, and HPE's Distributed R. Unfortunately, these
interfaces are custom, non-standard, and difficult to
learn. Not surprisingly, R applications written in one
framework do not work in another, and each backend
infrastructure has spent redundant effort in
implementing distributed machine learning algorithms.
Working with the members of R-core, we have created ddR
(Distributed Data structures in R), a unified system
that works across different distributed frameworks. In
ddR, we introduce a novel programming primitive called
dmapply that executes functions on distributed data
structures. The dmapply primitive encapsulates
different computation patterns: from function and data
broadcast to pair-wise communication. We show that
dmapply is powerful enough to express algorithms that
fit the statistical query model, which includes many
popular machine learning algorithms, as well as
applications written in MapReduce. We have integrated
ddR with many backends, such as R's single-node
parallel framework, multi-node SNOW framework, Spark,
and HPE Distributed R, with few or no modifications to
any of these systems. We have also implemented multiple
machine learning algorithms which are not only portable
across different distributed systems, but also have
performance comparable to the ``native''
implementations on the backends. We believe that ddR
will standardize distributed computing in R, just like
the SQL interface has standardized how relational data
is manipulated.",
acknowledgement = ack-nhfb,
fjournal = "Proceedings of the VLDB Endowment",
journal-URL = "http://portal.acm.org/citation.cfm?id=J1174",
}
@Article{Mahani:2016:CSS,
author = "Alireza S. Mahani and Asad Hasan and Marshall Jiang
and Mansour T. A. Sharabiani",
title = "Code Snippet: Stochastic {Newton} Sampler: The {R}
Package \pkg{sns}",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.c02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074c02;
https://www.jstatsoft.org/index.php/jss/article/view/v074c02/v74c02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Matloff:2016:BRU,
author = "Norm Matloff",
title = "Book Review: {{\booktitle{A User's Guide to Network
Analysis in R}}, Douglas A. Luke, Springer-Verlag, New
York, 2015. ISBN 978-3-319-23882-1. 238 pp. USD 59.99
(P). \url{http://www.springer.com/9783319238821}}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072b03;
https://www.jstatsoft.org/index.php/jss/article/view/v072b03/v72b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Matloff:2016:PCD,
author = "Norman S. Matloff",
title = "Parallel Computing for Data Science: with Examples in
{R}, {C++} and {CUDA}",
volume = "28",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxiii + 324",
year = "2016",
ISBN = "1-4665-8701-6 (hardcover)",
ISBN-13 = "978-1-4665-8701-4 (hardcover)",
LCCN = "QA76.642 M37 2016",
bibdate = "Sat Jun 27 09:13:41 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/pvm.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC: The R Series",
URL = "http://www.tandf.net/books/details/9781466587014",
abstract = "\booktitle{Parallel Computing for Data Science: With
Examples in R, C++ and CUDA} is one of the first
parallel computing books to concentrate exclusively on
parallel data structures, algorithms, software tools,
and applications in data science. It includes examples
not only from the classic ``$n$ observations, $p$
variables'' matrix format but also from time series,
network graph models, and numerous other structures
common in data science. The examples illustrate the
range of issues encountered in parallel programming.
With the main focus on computation, the book shows how
to compute on three types of platforms.",
acknowledgement = ack-nhfb,
subject = "Parallel programming (Computer science); Electronic
data processing; R (Computer program language)",
tableofcontents = "Preface \\
Author's Biography \\
1: Introduction to Parallel Processing in R \\
2: ``Why Is My Program So Slow?'': Obstacles to Speed
\\
3: Principles of Parallel Loop Scheduling \\
4: The Shared-Memory Paradigm: A Gentle Introduction
via R \\
5: The Shared-Memory Paradigm: C Level \\
6: The Shared-Memory Paradigm: GPUs \\
7: Thrust and Rth \\
8: The Message Passing Paradigm \\
9: MapReduce Computation \\
10: Parallel Sorting and Merging \\
11: Parallel Pre x Scan \\
12: Parallel Matrix Operations \\
13: Inherently Statistical Approaches: Subset Methods
\\
Appendix A: Review of Matrix Algebra \\
Appendix B: R Quick Start \\
Appendix C: Introduction to C for R Programmers \\
Back Cover",
}
@Book{McElreath:2016:SRB,
author = "Richard McElreath",
title = "Statistical rethinking: a {Bayesian} course with
examples in {R} and {Stan}",
volume = "122",
publisher = "CRC Press/Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xvii + 469",
year = "2016",
ISBN = "1-4822-5344-5 (hardcover)",
ISBN-13 = "978-1-4822-5344-3 (hardcover)",
LCCN = "QA279.5 .M3975 2016",
bibdate = "Sun Oct 9 09:32:37 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
acknowledgement = ack-nhfb,
author-dates = "1973--",
subject = "Bayesian statistical decision theory; R (Computer
program language)",
tableofcontents = "Preface / xi \\
Audience / xi \\
Teaching strategy / xii \\
How to use this book / xii \\
Installing the rethinking R package / xvi \\
Acknowledgments / xvi \\
Chapter 1. The Golem of Prague / 1 \\
1.1. Statistical golems / 1 \\
1.2. Statistical rethinking / 4 \\
1.3. Three tools for golem engineering / 10 \\
1.4. Summary / 16 \\
Chapter 2. Small Worlds and Large Worlds / 19 \\
2.1. The garden of forking data / 20 \\
2.2. Building a model / 28 \\
2.3. Components of the model / 32 \\
2.4. Making the model go / 37 \\
2.5. Summary / 45 \\
2.6. Practice / 45 \\
Chapter 3. Sampling the Imaginary / 49 \\
3.1. Sampling from a grid-approximate posterior / 52
\\
3.2. Sampling to summarize / 53 \\
3.3. Sampling to simulate prediction / 61 \\
3.4. Summary / 68 \\
3.5. Practice / 69 \\
Chapter 4. Linear Models / 71 \\
4 1 Why normal distributions are normal / 72 \\
4.2. A language for describing models / 77 \\
4.3. A Gaussian model of height / 78 \\
4.4. Adding a predictor / 92 \\
4.5. Polynomial regression / 110 \\
4.6. Summary / 115 \\
4.7. Practice / 115 \\
Chapter 5. Multivariate Linear Models / 119 \\
5.1. Spurious association / 121 \\
5.2. Masked relationship / 135 \\
5.3. When adding variables hurts / 141 \\
5.4. Categorical variables / 152 \\
5.5. Ordinary least squares and lm / 159 \\
5.6. Summary / 162 \\
5.7. Practice / 162 \\
Chapter 6. Overfitting , Regularization, and
Information Criteria / 165 \\
6.1. The problem with parameters / 167 \\
6.2. Information theory and model performance / 174 \\
6.3. Regularization / 186 \\
6.4. Information criteria / 188 \\
6.5. Using information criteria / 195 \\
6 6 Summary / 205 \\
6.7. Practice / 205 \\
Chapter 7. Interactions / 209 \\
7.1. Building an interaction / 211 \\
7.2. Symmetry of the linear interaction / 223 \\
7.3. Continuous interactions / 225 \\
7.4. Interactions in design formulas / 235 \\
7.5. Summary / 236 \\
7.6. Practice / 236 \\
Chapter 8. Markov Chain Monte Carlo / 241 \\
8 1. Good King Markov and His island kingdom / 242 \\
8.2. Markov chain Monte Carlo / 245 \\
8.3. Easy HMC: map2stan / 247 \\
8.4. Care and feeding of your Markov chain / 255 \\
8.5. Summary / 263 \\
8.6 Practice / 263 \\
Chapter 9. Big Entropy and the Generalized Linear Model
/ 267 \\
9.1. Maximum entropy / 268 \\
9 2 Generalized linear models / 280 \\
9.3. Maximum entropy priors / 288 \\
9.4. Summary / 289 \\
Chapter 10. Counting and Classification / 291 \\
10. 1 Binomial regression / 292 \\
10.2 Poisson regression / 311 \\
10.3. Other count regressions / 322 \\
10.4. Summary / 328 \\
10.5. Practice / 329 \\
Chapter 11. Monsters and Mixtures / 331 \\
1 1 1. Ordered categorical outcomes / 331 \\
1 1 2 Zero-inflated outcomes / 342 \\
11.3. Over-dispersed outcomes / 346 \\
11.4. Summary / 351 \\
11.5. Practice / 352 \\
Chapter 12. Multilevel Models / 355 \\
12 1 Example: Multilevel tadpoles / 357 \\
12.2. Varying effects and the underfitting/overfitting
trade-off / 364 \\
12.3. More than one type of cluster / 370 \\
12.4. Multilevel posterior predict ions / 376 \\
12.5. Summary / 384 \\
12.6. Practice / 384 \\
Chapter 13. Adventures in Covariance / 387 \\
13.1. Varying slopes by construction / 389 \\
13.2. Example: Admission decisions and gender / 398 \\
13.3. Example: Cross-classified chimpanzees with
varying slopes / 403 \\
13.4. Continuous categories and the Gaussian process /
410 \\
13.5. Summary / 419 \\
13.6. Practice / 419 \\
Chapter 14. Missing Data and Other Opportunities / 423
\\
14.1. Measurement error / 424 \\
14.2. Missing data / 431 \\
14.3. Summary / 439 \\
14.4. Practice / 439 \\
Chapter 15. Horoscopes / 441 \\
Endnotes / 445 \\
Bibliography / 457 \\
Citation index / 465 \\
Topic index / 467",
}
@Article{Melnykov:2016:CRP,
author = "Volodymyr Melnykov",
title = "\pkg{ClickClust}: An {R} Package for Model-Based
Clustering of Categorical Sequences",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i09;
https://www.jstatsoft.org/index.php/jss/article/view/v074i09/v74i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Mi:2016:SRP,
author = "Xuefei Mi and H. Friedrich Utz and Albrecht E.
Melchinger",
title = "\pkg{Selectiongain}: an {R} package for optimizing
multi-stage selection",
journal = j-COMP-STAT,
volume = "31",
number = "2",
pages = "533--543",
month = jun,
year = "2016",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-015-0583-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:48 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-015-0583-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Muller:2016:BRM,
author = "Marlene M{\"u}ller",
title = "Book Review: {{\booktitle{Multivariate Nonparametric
Regression and Visualization With R and Applications to
Finance}}}",
journal = j-J-STAT-SOFT,
volume = "70",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v70.b05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:23 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v070b05;
https://www.jstatsoft.org/index.php/jss/article/view/v070b05/v70b05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Nadarajah:2016:NRP,
author = "Saralees Nadarajah and Ricardo Rocha",
title = "\pkg{Newdistns}: An {R} Package for New Families of
Distributions",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i10;
https://www.jstatsoft.org/index.php/jss/article/view/v069i10/v69i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Noorian:2016:GGE,
author = "Farzad Noorian and Anthony M. de Silva and Philip H.
W. Leong",
title = "\pkg{gramEvol}: Grammatical Evolution in {R}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i01;
https://www.jstatsoft.org/index.php/jss/article/view/v071i01/v71i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Nowok:2016:SBC,
author = "Beata Nowok and Gillian M. Raab and Chris Dibben",
title = "\pkg{synthpop}: Bespoke Creation of Synthetic Data in
{R}",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i11;
https://www.jstatsoft.org/index.php/jss/article/view/v074i11/v74i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Pallmann:2016:AMG,
author = "Philip Pallmann and Ludwig A. Hothorn",
title = "Analysis of means: a generalized approach using {R}",
journal = j-J-APPL-STAT,
volume = "43",
number = "8",
pages = "1541--1560",
month = aug,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2015.1117584",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Wed Jun 22 07:02:10 MDT 2016",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
}
@Article{Papastamoulis:2016:CSL,
author = "Panagiotis Papastamoulis",
title = "Code Snippet: \pkg{label.switching}: An {R} Package
for Dealing with the Label Switching Problem in {MCMC}
Outputs",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069c01;
https://www.jstatsoft.org/index.php/jss/article/view/v069c01/v69c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Pavia:2016:BRH,
author = "Jose M. Pav{\'\i}a",
title = "Book Review: {{\booktitle{Humanities Data in R}}}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069b02;
https://www.jstatsoft.org/index.php/jss/article/view/v069b02/v69b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Peng:2016:TRP,
author = "Jun Peng and ZhiBao Dong and FengQing Han",
title = "\pkg{tgcd}: an {R} package for analyzing
thermoluminescence glow curves",
journal = j-SOFTWAREX,
volume = "5",
number = "??",
pages = "107--111",
month = "????",
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2016.06.001",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:31 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711016300140",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Poole:2016:RBS,
author = "Keith T. Poole and Jeffrey B. Lewis and Howard
Rosenthal and James Lo and Royce Carroll",
title = "Recovering a Basic Space from Issue Scales in {R}",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i07;
https://www.jstatsoft.org/index.php/jss/article/view/v069i07/v69i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Qian:2016:EES,
author = "Song S. Qian",
title = "Environmental and ecological statistics with {R}",
publisher = pub-TAYLOR-FRANCIS,
address = pub-TAYLOR-FRANCIS:adr,
edition = "Second",
pages = "????",
year = "2016",
ISBN = "1-4987-2872-3 (hardcover), 1-4987-2873-1 (e-book),
1-4987-2875-8 (e-book), 1-4987-2874-X (e-book)",
ISBN-13 = "978-1-4987-2872-0 (hardcover), 978-1-4987-2873-7
(e-book), 978-1-4987-2875-1 (e-book), 978-1-4987-2874-4
(e-book)",
LCCN = "GE45.S73 Q25 2016",
bibdate = "Thu Jul 21 05:55:19 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC Press applied environmental
statistics",
acknowledgement = ack-nhfb,
subject = "Environmental sciences; Statistical methods; Ecology;
R (Computer program language)",
}
@Article{Rinn:2016:LAR,
author = "Philip Rinn and Pedro Lind and Matthias W{\"a}chter
and Joachim Peinke",
title = "The {Langevin} Approach: An {R} Package for Modeling
{Markov} Processes",
journal = j-J-OPEN-RES-SOFT,
volume = "4",
number = "1",
pages = "e34--??",
day = "23",
month = aug,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.123",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:50 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.123/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Rizopoulos:2016:RPJ,
author = "Dimitris Rizopoulos",
title = "The {R} Package {JMbayes} for Fitting Joint Models for
Longitudinal and Time-to-Event Data Using {MCMC}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i07;
https://www.jstatsoft.org/index.php/jss/article/view/v072i07/v72i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Ruiz:2016:BRM,
author = "Diego Andres Perez Ruiz",
title = "Book Review: {{\booktitle{Modern Optimization with
R}}}",
journal = j-J-STAT-SOFT,
volume = "70",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v70.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:23 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v070b03;
https://www.jstatsoft.org/index.php/jss/article/view/v070b03/v70b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Salazar:2016:SGE,
author = "Alejandro Salazar and Bego{\~n}a Ojeda and Mar{\'\i}a
Due{\~n}as and Fernando Fern{\'a}ndez and Inmaculada
Failde",
title = "Simple generalized estimating equations {(GEEs)} and
weighted generalized estimating equations {(WGEEs)} in
longitudinal studies with dropouts: guidelines and
implementation in {R}",
journal = j-STAT-MED,
volume = "35",
number = "19",
pages = "3424--3448",
day = "30",
month = aug,
year = "2016",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.6947",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:48:46 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "05 April 2016",
}
@Article{Sarrias:2016:DCM,
author = "Mauricio Sarrias",
title = "Discrete Choice Models with Random Parameters in {R}:
The \pkg{Rchoice} Package",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i10;
https://www.jstatsoft.org/index.php/jss/article/view/v074i10/v74i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Savitsky:2016:BNM,
author = "Terrance D. Savitsky",
title = "{Bayesian} Nonparametric Mixture Estimation for
Time-Indexed Functional Data in {R}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i02;
https://www.jstatsoft.org/index.php/jss/article/view/v072i02/v72i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Scholz:2016:RPC,
author = "Michael Scholz",
title = "{R} Package \pkg{clickstream}: Analyzing Clickstream
Data with {Markov} Chains",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i04;
https://www.jstatsoft.org/index.php/jss/article/view/v074i04/v74i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Schoonees:2016:FGA,
author = "Pieter Schoonees and Ni{\"e}l le Roux and Roelof
Coetzer",
title = "Flexible Graphical Assessment of Experimental Designs
in {R}: The \pkg{vdg} Package",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i03;
https://www.jstatsoft.org/index.php/jss/article/view/v074i03/v74i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Shalabh:2016:BRS,
author = "Shalabh",
title = "Book reviews: {{\booktitle{Statistical Analysis and
Data Display: an Intermediate Course with Examples in
R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "179",
number = "4",
pages = "1129--1130",
month = oct,
year = "2016",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12218",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sun Oct 9 09:07:51 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
}
@Book{Shipley:2016:CCB,
author = "Bill Shipley",
title = "Cause and correlation in biology: a user's guide to
path analysis, structural equations, and causal
inference with {R}",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
edition = "Second",
pages = "xiii + 299",
year = "2016",
DOI = "https://doi.org/10.1017/CBO9781139979573",
ISBN = "1-107-44259-1 (paperback), 1-139-97957-4 (e-book)",
ISBN-13 = "978-1-107-44259-7 (paperback), 978-1-139-97957-3
(e-book)",
LCCN = "QH323.5 .S477 2016",
bibdate = "Fri Jun 3 12:14:02 MDT 2016",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
author-dates = "1960--",
remark = "Previous edition: 2001.",
subject = "Biometry; Correlation (Statistics); Causation",
}
@Article{Silge:2016:PTT,
author = "Julia Silge and David Robinson",
title = "\pkg{tidytext}: Text Mining and Analysis Using Tidy
Data Principles in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "1",
number = "3",
pages = "37:1--37:3",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00037",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00037",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "11 July 2016",
ORCID-numbers = "Julia Silge / 0000-0002-3671-836X; David Robinson /
0000-0001-8466-088X",
}
@Article{Sund:2016:BRG,
author = "Reijo Sund",
title = "Book Review: {{\booktitle{Graphical Data Analysis with
R}}}",
journal = j-INT-STAT-REV,
volume = "84",
number = "2",
pages = "324--325",
month = aug,
year = "2016",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12191",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Fri Sep 2 09:20:30 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
}
@InBook{Tattar:2016:AOS,
author = "Prabhanjan Narayanachar Tattar and Suresh Ramaiah and
B. G. Manjunath",
booktitle = "A Course in Statistics With {R}",
title = "{Appendix A}: Open Source Software --- An Epilogue",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "627--630",
year = "2016",
DOI = "https://doi.org/10.1002/9781119152743.app1",
ISBN = "1-119-15274-7",
ISBN-13 = "978-1-119-15274-3",
bibdate = "Tue Jan 30 07:39:48 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Article{Teisseyre:2016:RSM,
author = "Pawe{\l} Teisseyre and Robert A. K{\l}opotek and Jan
Mielniczuk",
title = "Random Subspace Method for high-dimensional regression
with the {R} package \pkg{regRSM}",
journal = j-COMP-STAT,
volume = "31",
number = "3",
pages = "943--972",
month = sep,
year = "2016",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-016-0658-2",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:48 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-016-0658-2;
http://link.springer.com/content/pdf/10.1007/s00180-016-0658-2.pdf",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Tendeiro:2016:PRP,
author = "Jorge N. Tendeiro and Rob R. Meijer and A. Susan M.
Niessen",
title = "\pkg{PerFit}: An {R} Package for Person-Fit Analysis
in {IRT}",
journal = j-J-STAT-SOFT,
volume = "74",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v74.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:13 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v074i05;
https://www.jstatsoft.org/index.php/jss/article/view/v074i05/v74i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Thieler:2016:RRP,
author = "Anita M. Thieler and Roland Fried and Jonathan
Rathjens",
title = "\pkg{RobPer}: An {R} Package to Calculate Periodograms
for Light Curves Based on Robust Regression",
journal = j-J-STAT-SOFT,
volume = "69",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v69.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Mon Jun 20 10:46:12 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v069i09;
https://www.jstatsoft.org/index.php/jss/article/view/v069i09/v69i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Tyner:2016:URP,
author = "Sam Tyner",
title = "Using the {R} Package \pkg{geomnet}: Visualizing
Trans-{Atlantic} Slave Trade of {Africans},
1514--1866",
journal = j-CHANCE,
volume = "29",
number = "3",
pages = "4--??",
year = "2016",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2016.1234879",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
bibdate = "Tue Sep 20 09:19:18 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance: a magazine for people interested in the
analysis of data",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
onlinedate = "Published online: 14 Sep 2016",
}
@Article{Vanegas:2016:ELS,
author = "Luis Hernando Vanegas and Gilberto A. Paula",
title = "An extension of log-symmetric regression models: {R}
codes and applications",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "86",
number = "9",
pages = "1709--1735",
year = "2016",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2015.1081689",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Fri Mar 4 08:26:14 MST 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Article{Villacorta:2016:FRP,
author = "Pablo J. Villacorta and Jos{\'e} L. Verdegay",
title = "\pkg{FuzzyStatProb}: An {R} Package for the Estimation
of Fuzzy Stationary Probabilities from a Sequence of
Observations of an Unknown {Markov} Chain",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i08;
https://www.jstatsoft.org/index.php/jss/article/view/v071i08/v71i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Vitolo:2016:PFR,
author = "Claudia Vitolo and Peter Wells and Martin Dobias and
Wouter Buytaert",
title = "\pkg{fuse}: An {R} package for ensemble Hydrological
Modelling",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "1",
number = "8",
pages = "52:1--52:2",
month = dec,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00052",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00052",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "20 December 2016",
ORCID-numbers = "Claudia Vitolo / 0000-0002-4252-1176; Wouter Buytaert
/ 0000-0001-6994-4454",
}
@Article{Wang:2016:BRU,
author = "Kevin Wang",
title = "Book Review: {{\booktitle{Using R for Introductory
Statistics}}}",
journal = j-ANZJS,
volume = "58",
number = "1",
pages = "138--139",
month = mar,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12146",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Fri Jul 15 16:30:45 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Wojtys:2016:CRS,
author = "Magorzata Wojty{\'s} and Giampiero Marra and Rosalba
Radice",
title = "Copula Regression Spline Sample Selection Models: The
{R} Package \pkg{SemiParSampleSel}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i06;
https://www.jstatsoft.org/index.php/jss/article/view/v071i06/v71i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Zeitler:2016:BRA,
author = "David W. Zeitler",
title = "Book Review: {{\booktitle{Applied Multivariate
Statistics with R}}, Daniel Zelterman, Springer-Verlag,
Switzerland, 2015. ISBN 978-3-319-14092-6. 393 pp. USD
99.00 (Hardcover), USD 69.99 (eBook).
\url{http://www.springer.com/9783319140926}}",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071b02;
https://www.jstatsoft.org/index.php/jss/article/view/v071b02/v71b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Zhang:2016:RPR,
author = "Zhengzheng Zhang and Richard M. A. Parker and
Christopher M. J. Charlton and George Leckie and
William J. Browne",
title = "\pkg{R2MLwiN}: A Package to Run {MLwiN} from within
{R}",
journal = j-J-STAT-SOFT,
volume = "72",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v72.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:08 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v072i10;
https://www.jstatsoft.org/index.php/jss/article/view/v072i10/v72i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Zhang:2016:SRP,
author = "Peng Zhang and Zhenguo Qiu and Chengchun Shi",
title = "\pkg{simplexreg}: An {R} Package for Regression
Analysis of Proportional Data Using the Simplex
Distribution",
journal = j-J-STAT-SOFT,
volume = "71",
number = "??",
pages = "??--??",
month = "????",
year = "2016",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v71.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Nov 5 09:38:02 MDT 2016",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v071i11;
https://www.jstatsoft.org/index.php/jss/article/view/v071i11/v71i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Zucchini:2016:HMM,
author = "Walter Zucchini and Iain L. MacDonald and Roland
Langrock",
title = "Hidden {Markov} Models for Time Series: an
Introduction Using {R}",
volume = "150",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xxviii + 370",
year = "2016",
ISBN = "1-4822-5383-6 (hardcover), 1-4822-5384-4 (e-book)",
ISBN-13 = "978-1-4822-5383-2 (hardcover), 978-1-4822-5384-9
(e-book)",
LCCN = "QA280 .Z83 2016",
bibdate = "Sat Jan 13 07:29:32 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Monographs on statistics and applied probability",
URL = "http://marc.crcnetbase.com/isbn/9781482253849;
http://www.taylorfrancis.com/books/9781482253849",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; Markov processes; R (Computer
program language)",
tableofcontents = "Preliminaries: mixtures and Markov chains \\
Hidden Markov models: definition and properties \\
Estimation by direct maximization of the likelihood \\
Estimation by the EM algorithm \\
Forecasting, decoding and state prediction \\
Model selection and checking \\
Bayesian inference for Poisson-hidden Markov models \\
R packages \\
HMMs with general state-dependent distribution \\
Covariates and other extra dependencies \\
Continuous-valued state processes \\
Hidden semi-Markov models and their representation as
HMMs \\
HMMs for logitudinal data \\
Introduction to applications \\
Epileptic seizures \\
Daily rainfall occurrence \\
Eruptions of the Old Faithful geyser \\
HMMs for animal movement \\
Wind direction at Koeberg \\
Models for financial series \\
Births at Edendale Hospital \\
Homicides and suicides in Cape Town, 1986-1991 \\
A model for animal behavior which incorporates feedback
\\
Estimating the survival rates of Soay sheep from
makr-recapture-recovery data \\
Examples of R code \\
Some proofs",
}
@Article{Ajiferuke:2017:BRS,
author = "Isola Ajiferuke",
title = "Book Review: {{\booktitle{Statistics for library and
information services: a primer for using open source R
software for accessibility and visualization}}. Alon
Friedman. Lanham, MD: Rowman \& Littlefield Publishers,
2015. 376 pp. \$95.00 (hardback). (ISBN
978-1-4422-4992-9)}",
journal = j-J-ASSOC-INF-SCI-TECHNOL,
volume = "68",
number = "6",
pages = "1594--1595",
month = jun,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1002/asi.23744",
ISSN = "2330-1643 (print), 2330-1643 (electronic)",
ISSN-L = "2330-1643",
bibdate = "Mon Jul 24 07:54:35 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/jaist.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Association for Information Science and
Technology",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643",
}
@Article{Amatya:2017:PRP,
author = "Anup Amatya and Hakan Demirtas",
title = "{PoisNor}: An {R} package for generation of
multivariate data with {Poisson} and normal marginals",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "46",
number = "3",
pages = "2241--2253",
year = "2017",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2015.1039854",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Fri Mar 31 12:55:37 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "23 Nov 2015",
}
@Article{Anderson-Bergman:2017:IRM,
author = "Clifford Anderson-Bergman",
title = "\pkg{icenReg}: Regression Models for Interval Censored
Data in {R}",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i12",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i12;
https://www.jstatsoft.org/index.php/jss/article/view/v081i12/v81i12.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Ardia:2017:PNC,
author = "David Ardia and Keven Bluteau",
title = "\pkg{nse}: Computation of Numerical Standard Errors in
{R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "10",
pages = "172:1--172:2",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00172",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00172",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "04 February 2017",
ORCID-numbers = "David Ardia / 0000-0003-2823-782X",
}
@Article{Ardia:2017:PRC,
author = "David Ardia and Kris Boudt and Jean-Philippe
Gagnon-Fleury",
title = "\pkg{RiskPortfolios}: Computation of Risk-Based
Portfolios in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "10",
pages = "171:1--171:1",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00171",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00171",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "03 February 2017",
ORCID-numbers = "David Ardia / 0000-0003-2823-782X",
}
@Article{Arnold:2017:PKR,
author = "Taylor B. Arnold",
title = "\pkg{kerasR}: {R} Interface to the {Keras Deep
Learning Library}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "14",
pages = "296:1--296:1",
month = jun,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00296",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00296",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "22 June 2017",
ORCID-numbers = "Taylor B. Arnold / 0000-0003-0576-0669",
}
@Article{Barbiero:2017:RPS,
author = "Alessandro Barbiero and Pier Alda Ferrari",
title = "An {R} package for the simulation of correlated
discrete variables",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "46",
number = "7",
pages = "5123--5140",
year = "2017",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2016.1146758",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Thu Nov 30 11:30:34 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "18 Feb 2016",
}
@Article{Barrios:2017:DIG,
author = "David Barrios and Carlos Prieto",
title = "{D3GB}: An Interactive Genome Browser for {R},
{Python}, and {WordPress}",
journal = j-J-COMPUT-BIOL,
volume = "24",
number = "5",
pages = "447--449",
month = may,
year = "2017",
CODEN = "JCOBEM",
DOI = "https://doi.org/10.1089/cmb.2016.0213",
ISSN = "1066-5277 (print), 1557-8666 (electronic)",
ISSN-L = "1066-5277",
bibdate = "Sat Jun 1 09:52:53 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputbiol.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.liebertpub.com/doi/abs/10.1089/cmb.2016.0213;
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2016.0213",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational Biology",
journal-URL = "https://www.liebertpub.com/loi/cmb/",
onlinedate = "16 February 2017",
}
@Article{Bartolucci:2017:LRP,
author = "Francesco Bartolucci and Silvia Pandolfi and Fulvia
Pennoni",
title = "\pkg{LMest}: An {R} Package for Latent {Markov} Models
for Longitudinal Categorical Data",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i04;
https://www.jstatsoft.org/index.php/jss/article/view/v081i04/v81i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Basturk:2017:RPM,
author = "Nalan Bast{\"u}rk and Stefano Grassi and Lennart
Hoogerheide and Anne Opschoor and Herman K. van Dijk",
title = "The {R} Package \pkg{MitISEM}: Efficient and Robust
Simulation Procedures for {Bayesian} Inference",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i01;
https://www.jstatsoft.org/index.php/jss/article/view/v079i01/v79i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Baumer:2017:MDS,
author = "Benjamin Baumer and Daniel Kaplan and Nicholas J.
Horton",
title = "Modern data science with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xvi + 551",
year = "2017",
ISBN = "1-4987-2448-5",
ISBN-13 = "978-1-4987-2448-7",
LCCN = "QA76.9.D343 B38 2017",
bibdate = "Sat Jan 13 07:31:43 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
abstract = "\booktitle{Modern Data Science with R} is a
comprehensive data science textbook for undergraduates
that incorporates statistical and computational
thinking to solve real-world problems with data. Rather
than focus exclusively on case studies or programming
syntax, this book illustrates how statistical
programming in the state-of-the-art R/RStudio computing
environment can be leveraged to extract meaningful
information from a variety of data in the service of
addressing compelling statistical questions.
Contemporary data science requires a tight integration
of knowledge from statistics, computer science,
mathematics, and a domain of application. This book
will help readers with some background in statistics
and modest prior experience with coding develop and
practice the appropriate skills to tackle complex data
science projects. The book features a number of
exercises and has a flexible organization conducive to
teaching a variety of semester courses. Offers a text
accessible to a general audience with some background
in statistics and computing, Includes many examples and
extended case studies, Contains illustrations using R
and Rstudio, Provides a true blend of statistics and
computer science --- not just a grab bag of topics from
each.",
acknowledgement = ack-nhfb,
subject = "Data mining; Big data; Mathematical statistics; Data
processing; R (Computer program language)",
tableofcontents = "Introduction to Data Science \\
Prologue: Why data science? \\
Data visualization \\
A grammar for graphics \\
Data wrangling \\
Tidy data and iteration \\
Professional Ethics \\
Statistics and Modeling \\
Statistical foundations Statistical learning and
predictive analytics \\
Unsupervised learning \\
Simulation Topics in Data Science \\
Interactive data graphics \\
Database querying using SQL \\
Database administration \\
Working with spatial data \\
Text as data \\
Network science \\
Epilogue: Towards ``Big Data'' \\
Appendices \\
Packages used in this book \\
Introduction to R and RStudio \\
Algorithmic thinking \\
Reproducible analysis and workflow \\
Regression modeling \\
Setting up a database server.",
}
@Article{Beath:2017:RRP,
author = "Ken J. Beath",
title = "\pkg{randomLCA}: An {R} Package for Latent Class with
Random Effects Analysis",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i13",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i13;
https://www.jstatsoft.org/index.php/jss/article/view/v081i13/v81i13.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Becker:2017:ERC,
author = "Gabriel Becker and Cory Barr and Robert Gentleman and
Michael Lawrence",
title = "Enhancing Reproducibility and Collaboration via
Management of {R} Package \pkg{Cohorts}",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i01;
https://www.jstatsoft.org/index.php/jss/article/view/v082i01/v82i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Beckerman:2017:GSR,
author = "Andrew P. Beckerman and Owen L. Petchey",
title = "Getting started with {R}: an introduction for
biologists",
publisher = pub-OXFORD,
address = pub-OXFORD:adr,
edition = "Second",
pages = "xviii + 231",
year = "2017",
ISBN = "0-19-878784-7 (paperback)",
ISBN-13 = "978-0-19-878784-6 (paperback)",
LCCN = "QA276.45.R3 B43 2017",
bibdate = "Fri Aug 14 15:38:38 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Oxford biology",
abstract = "Learning how to get answers from data is an integral
part of modern training in the natural, physical,
social, and engineering sciences. One of the most
exciting changes in data management and analysis during
the last decade has been the growth of open source
software. The open source statistics and programming
language R has emerged as a critical component of any
researcher's toolbox. Indeed, R is rapidly becoming the
standard software for analyses, graphical
presentations, and programming in the biological
sciences. This book provides a functional introduction
for biologists new to R. While teaching how to import,
explore, graph, and analyse data, it keeps readers
focused on their ultimate goals --- communicating their
data in oral presentations, posters, papers, and
reports. It also provides a consistent method
(workflow) for using R that is simple, efficient,
reliable, accurate, and reproducible. The material in
the book reproduces the engaging and sometimes humorous
nature of the three-day course on which it is based.",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Data processing; R (Computer
program language); Data processing.; R (Computer
program language)",
tableofcontents = "Getting and getting acquainted with R \\
Getting your data into R \\
Data management, manipulation, and exploration with
dplyr \\
Visualizing your data \\
Introducing statistics in R \\
Advancing your statistics in R \\
Getting started with generalized linear models \\
Pimping your plots: scales and themes in ggplot2 \\
Closing remarks: final comments and encouragement",
}
@Article{Biecek:2017:ARP,
author = "Przemyslaw Biecek and Marcin Kosi{\'n}ski",
title = "\pkg{archivist}: An {R} Package for Managing,
Recording and Restoring Data Analysis Results",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i11;
https://www.jstatsoft.org/index.php/jss/article/view/v082i11/v82i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Boehmke:2017:PKR,
author = "Bradley C. Boehmke and Robert T. Montgomery and
Jeffrey A. Ogden and Jason K. Freels",
title = "\pkg{KraljicMatrix}: An {R} package for implementing
the {Kraljic Matrix} to strategically analyze a firm's
purchasing portfolio",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "10",
pages = "170:1--170:2",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00170",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00170",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "04 February 2017",
ORCID-numbers = "Bradley C. Boehmke / 0000-0002-3611-8516",
}
@Article{Boettiger:2017:GPC,
author = "Carl Boettiger",
title = "Generating \pkg{CodeMeta} Metadata for {R} Packages",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "19",
pages = "454:1--454:1",
month = nov,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00454",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00454",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "13 November 2017",
ORCID-numbers = "Carl Boettiger / 0000-0002-1642-628X",
}
@Article{Braun:2017:SRP,
author = "Michael Braun",
title = "{sparseHessianFD}: An {R} Package for Estimating
Sparse {Hessian} Matrices",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i10;
https://www.jstatsoft.org/index.php/jss/article/view/v082i10/v82i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Burkner:2017:BRP,
author = "Paul-Christian B{\"u}rkner",
title = "\pkg{brms}: An {R} Package for {Bayesian} Multilevel
Models Using \pkg{Stan}",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080i01;
https://www.jstatsoft.org/index.php/jss/article/view/v080i01/v80i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Cano-Berlanga:2017:ECG,
author = "Sebasti{\'a}n Cano-Berlanga and Jos{\'e}-Manuel
Gim{\'e}nez-G{\'o}mez and Cori Vilella",
title = "Enjoying cooperative games: the {R} package
\pkg{GameTheory}",
journal = j-APPL-MATH-COMP,
volume = "305",
number = "??",
pages = "381--393",
day = "15",
month = jul,
year = "2017",
CODEN = "AMHCBQ",
ISSN = "0096-3003 (print), 1873-5649 (electronic)",
ISSN-L = "0096-3003",
bibdate = "Sun Mar 12 13:31:57 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/applmathcomput2015.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0096300317301145",
acknowledgement = ack-nhfb,
fjournal = "Applied Mathematics and Computation",
journal-URL = "http://www.sciencedirect.com/science/journal/00963003",
}
@Article{Caravaggi:2017:PRR,
author = "Anthony Caravaggi",
title = "\pkg{remBoot}: An {R} package for Random Encounter
Modelling",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "10",
pages = "176:1--176:3",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00176",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00176",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "28 February 2017",
ORCID-numbers = "Anthony Caravaggi / 0000-0002-1763-8970",
}
@Article{Caro:2017:IRP,
author = "Daniel H. Caro and Przemyslaw Biecek",
title = "\pkg{intsvy}: An {R} Package for Analyzing
International Large-Scale Assessment Data",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i07;
https://www.jstatsoft.org/index.php/jss/article/view/v081i07/v81i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Chamberlain:2017:PLR,
author = "Scott Chamberlain and Jeffrey W. Hollister",
title = "\pkg{lawn}: An {R} client for the {Turf Javascript
Library for Geospatial Analysis}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "11",
pages = "194:1--194:1",
month = mar,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00194",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/java2010.bib;
https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00194",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "07 March 2017",
ORCID-numbers = "Scott Chamberlain / 0000-0003-1444-9135; Jeffrey W.
Hollister / 0000-0002-9254-9740",
}
@Article{Comets:2017:PEN,
author = "Emmanuelle Comets and Audrey Lavenu and Marc
Lavielle",
title = "Parameter Estimation in Nonlinear Mixed Effect Models
Using \pkg{saemix}, an {R} Implementation of the {SAEM}
Algorithm",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080i03;
https://www.jstatsoft.org/index.php/jss/article/view/v080i03/v80i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Curini:2017:NOP,
author = "Luigi Curini and Stefano M. Iacus",
title = "{Nash} Optimal Party Positions: The \pkg{nopp} {R}
Package",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i11;
https://www.jstatsoft.org/index.php/jss/article/view/v081i11/v81i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Daouia:2017:NPN,
author = "Abdelaati Daouia and Thibault Laurent and Hohsuk Noh",
title = "\pkg{npbr}: A Package for Nonparametric Boundary
Regression in {R}",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i09;
https://www.jstatsoft.org/index.php/jss/article/view/v079i09/v79i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Demirtas:2017:BRB,
author = "Hakan Demirtas",
title = "Book Review: {{\booktitle{Bayesian Computation with
R}} (2nd Edition)}",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079b01;
https://www.jstatsoft.org/index.php/jss/article/view/v079b01/v79b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Demirtas:2017:BRI,
author = "Hakan Demirtas and Rachel Nordgren",
title = "Book Review: {{\booktitle{Introduction to Scientific
Programming and Simulation Using R (2nd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "78",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v78.b04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:17:54 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v078b04;
https://www.jstatsoft.org/index.php/jss/article/view/v078b04/v78b04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Deslauriers:2017:PFB,
author = "David Deslauriers and Steven R. Chipps and James E.
Breck and James A. Rice and Charles P. Madenjian",
title = "\pkg{Fish Bioenergetics 4.0}: an {R}-Based Modeling
Application",
journal = j-FISHERIES,
volume = "42",
number = "11",
pages = "586--596",
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1080/03632415.2017.1377558",
ISSN = "0363-2415 (print), 1548-8446 (electronic)",
ISSN-L = "0363-2415",
bibdate = "Fri Mar 4 20:06:21 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fisheries.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/03632415.2017.1377558",
acknowledgement = ack-nhfb,
ajournal = "Fisheries",
fjournal = "Fisheries",
journal-URL = "https://afspubs.onlinelibrary.wiley.com/loi/15488446",
}
@Article{Dong:2017:BRP,
author = "Chen Dong and Michel Wedel",
title = "{BANOVA}: An {R} Package for Hierarchical {Bayesian}
{ANOVA}",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i09;
https://www.jstatsoft.org/index.php/jss/article/view/v081i09/v81i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Donoho:2017:YDS,
author = "David Donoho",
title = "50 Years of Data Science",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "26",
number = "4",
pages = "745--766",
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2017.1384734",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Sat Dec 30 07:58:44 MST 2017",
bibsource = "https://www.math.utah.edu/pub/bibnet/authors/t/tukey-john-w.bib;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See comments \cite{Peng:2017:CSY,Holmes:2017:DSY}.",
acknowledgement = ack-nhfb,
ajournal = "J. Comput. Graph. Stat.",
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.amstat.org/publications/jcgs/;
http://www.tandfonline.com/loi/ucgs20",
}
@Article{Downie:2017:BRM,
author = "Tim Downie",
title = "Book Review: {{\booktitle{Modern Data Science with
R}}}",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080b02;
https://www.jstatsoft.org/index.php/jss/article/view/v080b02/v80b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Emura:2017:RRP,
author = "Takeshi Emura and Ting-Hsuan Long and Li-Hsien Sun",
title = "{R} routines for performing estimation and statistical
process control under copula-based time series models",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "46",
number = "4",
pages = "3067--3087",
year = "2017",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2015.1073303",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Fri Aug 30 08:41:16 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "15 Oct 2015",
}
@Article{Ferwerda:2017:KBR,
author = "Jeremy Ferwerda and Jens Hainmueller and Chad J.
Hazlett",
title = "Kernel-Based Regularized Least Squares in {R} {(KRLS)}
and {Stata} (krls)",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i03;
https://www.jstatsoft.org/index.php/jss/article/view/v079i03/v79i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Misc{Fog:2017:PRN,
author = "Agner Fog",
title = "Pseudo random number generators: uniform and
non-uniform distributions",
howpublished = "Web site",
year = "2017",
bibdate = "Mon Mar 06 17:31:59 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/prng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.agner.org/random/",
acknowledgement = ack-nhfb,
keywords = "List of random numbers; Non-uniform random number
generators in C++; R package for noncentral
hypergeometric distributions; Random number generator
for large applications using vector instructions;
Uniform random number generators as binary libraries;
Uniform random number generators in C++",
}
@Article{Frick:2017:TIR,
author = "Hannah Frick and Ioannis Kosmidis",
title = "{trackeR}: Infrastructure for Running and Cycling Data
from {GPS}-Enabled Tracking Devices in {R}",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i07;
https://www.jstatsoft.org/index.php/jss/article/view/v082i07/v82i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Friedrich:2017:CSG,
author = "Sarah Friedrich and Frank Konietschke and Markus
Pauly",
title = "Code Snippet: \pkg{GFD}: An {R} Package for the
Analysis of General Factorial Designs",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079c01;
https://www.jstatsoft.org/index.php/jss/article/view/v079c01/v79c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Fujino:2017:VGW,
author = "Tomokazu Fujino",
title = "{vdmR}: Generating {Web}-Based Visual Data Mining
Tools with {R}",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i06;
https://www.jstatsoft.org/index.php/jss/article/view/v082i06/v82i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Galecki:2017:BRF,
author = "Andrzej Galecki",
title = "Book Review: {Faraway, Julian J., \booktitle{Extending
the Linear Model with R: Generalized Linear, Mixed
Effects, and Nonparametric Regression Models}, 2nd
edition. Boca Raton: CRC Press}",
journal = j-BIOMETRICS,
volume = "73",
number = "4",
pages = "1465--1466",
month = dec,
year = "2017",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12825",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "27 December 2017",
}
@Article{Hackl:2017:BRC,
author = "Peter Hackl",
title = "Book Review: {Claus Thorn Ekstr{\o}m (2017):
\booktitle{The R Primer}, Second Edition, Chapman \&
Hall\slash CRC, The R Series, xvii + 408 pp., \pounds
39.99, ISBN 978-1-138-63197-7}",
journal = j-STAT-PAPERS,
volume = "58",
number = "4",
pages = "1281--1282",
month = dec,
year = "2017",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-017-0954-0",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Mon Nov 13 09:59:50 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-017-0954-0",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Holmes:2017:DSY,
author = "Susan Holmes and Julie Josse",
title = "Discussion of {`50 Years of Data Science}",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "26",
number = "4",
pages = "768--769",
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2017.1385471",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Sat Dec 30 07:58:44 MST 2017",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Donoho:2017:YDS}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
onlinedate = "19 Dec 2017",
}
@Book{Howard:2017:CMN,
author = "James Patrick {Howard, II}",
title = "Computational methods, for numerical analysis with
{R}",
publisher = "CRC Press/Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xx + 257",
year = "2017",
ISBN = "1-4987-2363-2 (hardcover), 1-4987-2364-0 (e-book),
1-315-12019-4 (e-book)",
ISBN-13 = "978-1-4987-2363-3 (hardcover), 978-1-4987-2364-0
(e-book), 978-1-315-12019-5 (e-book)",
LCCN = "QA297 .H67 2017",
bibdate = "Sat Mar 16 12:09:51 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/numana2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
URL = "http://www.crcnetbase.com/isbn/9781498723640",
acknowledgement = ack-nhfb,
subject = "Numerical analysis; Data processing; R (Computer
program language)",
tableofcontents = "1: Introduction to Numerical Analysis / 28 pages
\\
2: Error Analysis / 30 pages \\
3: Linear Algebra / 36 pages \\
4: Interpolation and Extrapolation / 38 pages \\
5: Differentiation and Integration / 42 pages \\
6: Root Finding and Optimization / 37 pages \\
7: Differential Equations / 35 pages",
}
@Article{Kane:2017:PBR,
author = "Michael Kane",
title = "\pkg{bittrex}: An {R} client for the {Bittrex
Crypto-Currency Exchange}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "17",
pages = "402:1--402:1",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00402",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00402",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "12 September 2017",
ORCID-numbers = "Michael Kane / 0000-0003-1899-6662",
}
@Article{Khademi:2017:BRH,
author = "Abdolvahab Khademi",
title = "Book Review: {{\booktitle{Hidden Markov Models for
Time Series: An Introduction Using R (2nd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080b01;
https://www.jstatsoft.org/index.php/jss/article/view/v080b01/v80b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Khalil:2017:RRP,
author = "Salim Khalil and Mohamed Fakir",
title = "\pkg{RCrawler}: an {R} package for parallel web
crawling and scraping",
journal = j-SOFTWAREX,
volume = "6",
number = "??",
pages = "94--97",
month = "????",
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2017.04.004",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:33 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711017300110",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Kieser:2017:ORP,
author = "Meinhard Kieser and Marius Wirths and Stefan Englert
and Cornelia Ursula Kunz and Geraldine Rauch",
title = "{OneArmPhaseTwoStudy}: An {R} Package for Planning,
Conducting, and Analysing Single-Arm Phase {II}
Studies",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i08;
https://www.jstatsoft.org/index.php/jss/article/view/v081i08/v81i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kleiber:2017:BRJ,
author = "Christian Kleiber",
title = "Book Review: {John M. Chambers (2016):
\booktitle{Extending R}. Chapman and Hall\slash CRC
Press, 364 pp., ISBN 978-1-4987-7571-7, GBP 44.99
(print), GBP 31.49 (eBook)}",
journal = j-STAT-PAPERS,
volume = "58",
number = "4",
pages = "1279--1280",
month = dec,
year = "2017",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-017-0942-4",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Mon Nov 13 09:59:50 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-017-0942-4",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Koenker:2017:RRP,
author = "Roger Koenker and Jiaying Gu",
title = "{REBayes}: An {R} Package for Empirical {Bayes}
Mixture Methods",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i08;
https://www.jstatsoft.org/index.php/jss/article/view/v082i08/v82i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lagani:2017:FSR,
author = "Vincenzo Lagani and Giorgos Athineou and Alessio
Farcomeni and Michail Tsagris and Ioannis Tsamardinos",
title = "Feature Selection with the {R} Package \pkg{MXM}:
Discovering Statistically Equivalent Feature Subsets",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080i07;
https://www.jstatsoft.org/index.php/jss/article/view/v080i07/v80i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lalanne:2017:BRS,
author = "Christophe Lalanne",
title = "Book Review: {{\booktitle{Statistical Analysis of
Questionnaires: A Unified Approach Based on R and
Stata}}}",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082b01;
https://www.jstatsoft.org/index.php/jss/article/view/v082b01/v82b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Lander:2017:REA,
author = "Jared P. Lander",
title = "{R} for Everyone: Advanced Analytics and Graphics",
publisher = pub-AW,
address = pub-AW:adr,
edition = "Second",
pages = "xxiv + 525",
year = "2017",
ISBN = "0-13-454692-X (paperback), 0-13-454698-9,
0-13-454699-7 (e-book)",
ISBN-13 = "978-0-13-454692-6 (paperback), 978-0-13-454698-8,
978-0-13-454699-5 (e-book)",
LCCN = "QA76.73.R3 L36 2017",
bibdate = "Fri Mar 9 15:42:21 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Using the open source R language, you can build
powerful statistical models to answer many of your most
challenging questions. R has traditionally been
difficult for non-statisticians to learn, and most R
books assume far too much knowledge to be of help.
\booktitle{R for Everyone}, Second Edition, is the
solution. Drawing on his unsurpassed experience
teaching new users, professional data scientist Jared
P. Lander has written the perfect tutorial for anyone
new to statistical programming and modeling. Organized
to make learning easy and intuitive, this guide focuses
on the 20 percent of R functionality you'll need to
accomplish 80 percent of modern data tasks. Lander's
self-contained chapters start with the absolute basics,
offering extensive hands-on practice and sample code.
You'll download and install R; navigate and use the R
environment; master basic program control, data import,
manipulation, and visualization; and walk through
several essential tests. Then, building on this
foundation, you'll construct several complete models,
both linear and nonlinear, and use some data mining
techniques. After all this you'll make your code
reproducible with LaTeX, RMarkdown, and Shiny. By the
time you're done, you won't just know how to write R
programs, you'll be ready to tackle the statistical
problems you care about most.",
acknowledgement = ack-nhfb,
tableofcontents = "Getting R \\
The R environment \\
R packages \\
Basics of R \\
Advanced data structures \\
Reading data into R \\
Statistical graphics \\
Writing R functions \\
Control statements \\
Loops, the Un-R way to iterate \\
Group manipulation \\
Faster group manipulation with dplyr \\
Iterating with purrr \\
Data reshaping \\
Reshaping data in the Tidyverse \\
Manipulating strings \\
Probability distributions \\
Basic statistics \\
Linear models \\
Generalized linear models \\
Model diagnostics \\
Regularization and shrinkage \\
Nonlinear models \\
Time series and autocorrelation \\
Clustering \\
Model fitting with Caret \\
Reproducibility and reports with knitr \\
Rich documents with RMarkdown \\
Interactive dashboards with shiny \\
Building R packages \\
Real-life resources",
}
@Article{Lang:2017:BRE,
author = "Michel Lang",
title = "Book Review: {{\booktitle{Efficient R Programming}}}",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080b03;
https://www.jstatsoft.org/index.php/jss/article/view/v080b03/v80b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lang:2017:PBT,
author = "Michel Lang and Bernd Bischl and Dirk Surmann",
title = "\pkg{batchtools}: Tools for {R} to work on batch
systems",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "10",
pages = "135:1--135:2",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00135",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00135",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "22 February 2017",
ORCID-numbers = "Michel Lang / 0000-0001-9754-0393; Bernd Bischl /
0000-0001-6002-6980; Dirk Surmann /
0000-0003-0873-137X",
}
@Article{Lendle:2017:LRP,
author = "Samuel D. Lendle and Joshua Schwab and Maya L.
Petersen and Mark J. van der Laan",
title = "\pkg{ltmle}: An {R} Package Implementing Targeted
Minimum Loss-Based Estimation for Longitudinal Data",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i01;
https://www.jstatsoft.org/index.php/jss/article/view/v081i01/v81i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Liboschik:2017:TRP,
author = "Tobias Liboschik and Konstantinos Fokianos and Roland
Fried",
title = "\pkg{tscount}: An {R} Package for Analysis of Count
Time Series Following Generalized Linear Models",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i05;
https://www.jstatsoft.org/index.php/jss/article/view/v082i05/v82i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lin:2017:PAB,
author = "Lifeng Lin and Jing Zhang and James S. Hodges and
Haitao Chu",
title = "Performing Arm-Based Network Meta-Analysis in {R} with
the \pkg{pcnetmeta} Package",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080i05;
https://www.jstatsoft.org/index.php/jss/article/view/v080i05/v80i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Liu:2017:BRK,
author = "Xulei Liu",
title = "Book Review: {Kleinman, Ken and Horton, Nicholas J.,
\booktitle{SAS and R: Data Management, Statistical
Analysis, and Graphics}. Boca Raton: CRC Press}",
journal = j-BIOMETRICS,
volume = "73",
number = "4",
pages = "1470--1470",
month = dec,
year = "2017",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12831",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "27 December 2017",
}
@Article{McLean:2017:PRI,
author = "Mathew W. McLean",
title = "\pkg{RefManageR}: Import and Manage {BibTeX} and
{BibLaTeX} References in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "16",
pages = "338:1--338:2",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00338",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00338",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "15 August 2017",
ORCID-numbers = "Mathew W. McLean / 0000-0002-7891-9645",
}
@Article{Miller:2017:RPD,
author = "Allan M. Miller",
title = "Review of {{\booktitle{Practical Data Science with R}}
by Nina Zumel and John Mount}",
journal = j-SIGACT,
volume = "48",
number = "1",
pages = "18--22",
month = mar,
year = "2017",
CODEN = "SIGNDM",
DOI = "https://doi.org/10.1145/3061640.3061644",
ISSN = "0163-5700 (print), 1943-5827 (electronic)",
bibdate = "Sat Mar 11 17:49:13 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigact.bib",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGACT News",
journal-URL = "http://dl.acm.org/citation.cfm?id=J697",
}
@Article{Miller:2017:RRD,
author = "Allan M. Miller",
title = "Review of {{\booktitle{R for Data Science: Import,
Tidy, Transform, Visualize, and Model Data}} by Hadley
Wickham and Garrett Grolemund}",
journal = j-SIGACT,
volume = "48",
number = "3",
pages = "14--19",
month = sep,
year = "2017",
CODEN = "SIGNDM",
DOI = "https://doi.org/10.1145/3138860.3138865",
ISSN = "0163-5700 (print), 1943-5827 (electronic)",
bibdate = "Sat Sep 16 11:34:08 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigact.bib",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGACT News",
journal-URL = "http://dl.acm.org/citation.cfm?id=J697",
}
@Article{Morina:2017:CRS,
author = "D. Mori{\~n}a and A. Navarro",
title = "Competing risks simulation with the \pkg{survsim} {R}
package",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "46",
number = "7",
pages = "5712--5722",
year = "2017",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2016.1175621",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Thu Nov 30 11:30:34 MST 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "27 May 2016",
}
@Article{Nolan:2017:PFR,
author = "Rory Nolan and Sergi Padilla-Parra",
title = "\pkg{filesstrings}: An {R} package for file and string
manipulation",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "14",
pages = "260:1--260:2",
month = jun,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00260",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00260",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "04 June 2017",
ORCID-numbers = "Rory Nolan / 0000-0002-5239-4043; Sergi Padilla-Parra
/ 0000-0002-8010-9481",
}
@Article{Nyaga:2017:CSC,
author = "Victoria N. Nyaga and Marc Arbyn and Marc Aerts",
title = "Code Snippet: \pkg{CopulaDTA}: An {R} Package for
Copula-Based Bivariate Beta-Binomial Models for
Diagnostic Test Accuracy Studies in a {Bayesian}
Framework",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082c01;
https://www.jstatsoft.org/index.php/jss/article/view/v082c01/v82c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{OConnell:2017:CVS,
author = "Mark O'Connell and Catherine B. Hurley and Katarina
Domijan",
title = "Conditional Visualization for Statistical Models: An
Introduction to the \pkg{condvis} Package in {R}",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i05;
https://www.jstatsoft.org/index.php/jss/article/view/v081i05/v81i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Olivier:2017:BRA,
author = "Jake Olivier",
title = "Book Review: {{\booktitle{Applied surrogate endpoint
evaluation methods with SAS and R}}. Ariel Alonso,
Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse,
Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila,
Ziv Shkedy, Wim Van der Elst, Chapman and Hall\slash
CRC Biostatics Series, 2017, xxi + 373, 57.99 GBP, ISBN
13: 978-1-4822-4936-1 (Hardback)}",
journal = j-STAT-MED,
volume = "36",
number = "24",
pages = "3919--3920",
day = "30",
month = oct,
year = "2017",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.7409",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:49:00 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "02 October 2017",
}
@Article{Oller:2017:FRP,
author = "Ramon Oller and Klaus Langohr",
title = "\pkg{FHtest}: An {R} Package for the Comparison of
Survival Curves with Censored Data",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i15",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i15;
https://www.jstatsoft.org/index.php/jss/article/view/v081i15/v81i15.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Ormerod:2017:BRE,
author = "John T. Ormerod",
title = "Book Review: {{\booktitle{Extending the linear model
with R: generalized linear, mixed effects and
nonparametric regression models}}, second edition by
Julian J. Faraway, Chapman and Hall\slash CRC, Boca
Raton, 2016. No. of pages: 399. Price: \pounds 63.99
(book + eBook); \pounds 44.79 (eBook). ISBN
978-1-4987-2096-0}",
journal = j-STAT-MED,
volume = "36",
number = "14",
pages = "2318--2319",
day = "30",
month = jun,
year = "2017",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.7282",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:48:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "02 June 2017",
}
@Article{Otneim:2017:BRB,
author = "H{\aa}kon Otneim",
title = "Book Review: {{\booktitle{Business Analytics Using R
--- A Practical Approach}}}",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081b01;
https://www.jstatsoft.org/index.php/jss/article/view/v081b01/v81b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Pan:2017:JRP,
author = "Jianxin Pan and Yi Pan",
title = "\pkg{jmcm}: An {R} Package for Joint Mean-Covariance
Modeling of Longitudinal Data",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i09;
https://www.jstatsoft.org/index.php/jss/article/view/v082i09/v82i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Pearce:2017:HRP,
author = "Robert G. Pearce and R. Woodrow Setzer and Cory L.
Strope and Nisha S. Sipes and John F. Wambaugh",
title = "\pkg{httk}: {R} Package for High-Throughput
Toxicokinetics",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i04;
https://www.jstatsoft.org/index.php/jss/article/view/v079i04/v79i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Peng:2017:CSY,
author = "Roger D. Peng",
title = "Comment on {``50 Years of Data Science''}",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "26",
number = "4",
pages = "767--767",
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2017.1385470",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Sat Dec 30 07:58:44 MST 2017",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "See \cite{Donoho:2017:YDS}.",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
onlinedate = "19 Dec 2017",
}
@Article{Perez-Jaume:2017:TOT,
author = "Sara Perez-Jaume and Konstantina Skaltsa and
Nat{\`a}lia Pallar{\`e}s and Josep L. Carrasco",
title = "\pkg{ThresholdROC}: Optimum Threshold Estimation Tools
for Continuous Diagnostic Tests in {R}",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i04;
https://www.jstatsoft.org/index.php/jss/article/view/v082i04/v82i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Plakidas:2017:ERS,
author = "Konstantinos Plakidas and Daniel Schall and Uwe Zdun",
title = "Evolution of the {R} software ecosystem: Metrics,
relationships, and their impact on qualities",
journal = j-J-SYST-SOFTW,
volume = "132",
number = "??",
pages = "119--146",
month = oct,
year = "2017",
CODEN = "JSSODM",
ISSN = "0164-1212 (print), 1873-1228 (electronic)",
ISSN-L = "0164-1212",
bibdate = "Wed Aug 23 06:35:03 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jsystsoftw.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0164121217301371",
acknowledgement = ack-nhfb,
fjournal = "Journal of Systems and Software",
journal-URL = "http://www.sciencedirect.com/science/journal/01641212",
}
@Book{Rahlf:2017:DVR,
author = "Thomas Rahlf",
title = "Data Visualisation with {R}: 100 Examples",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xv + 385",
year = "2017",
ISBN = "3-319-49750-2 (hardcover), 3-319-49751-0 (e-book)",
ISBN-13 = "978-3-319-49750-1 (hardcover), 978-3-319-49751-8
(e-book)",
LCCN = "QA76.9.I52 R34 2017",
bibdate = "Sat Jan 13 07:38:29 MST 2018",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/10.1007/978-3-319-49751-8",
abstract = "This book introduces readers to the fundamentals of
creating presentation graphics using R, based on 100
detailed and complete scripts. It shows how bar and
column charts, population pyramids, Lorenz curves, box
plots, scatter plots, time series, radial polygons,
Gantt charts, heat maps, bump charts, mosaic and
balloon charts, and a series of different thematic map
types can be created using R?s Base Graphics System.
Every example uses real data and includes step-by-step
explanations of the figures and their programming. The
open source software R is an established standard and a
powerful tool for various visualizing applications,
integrating nearly all technologies relevant for data
visualization. The basic software, enhanced by more
than 7000 extension packs currently freely available,
is intensively used by organizations including Google,
Facebook and the CIA. The book serves as a
comprehensive reference guide to a broad variety of
applications in various fields. This book is intended
for all kinds of R users, ranging from experts, for
whom especially the example codes are particularly
useful, to beginners, who will find the finished
graphics most helpful in learning what R can actually
deliver. Features and Benefits Offers a comprehensive
introduction to creating presentation graphics with R
Presents the complete code of 100 examples from various
fields Includes step-by-step explanations of the
programming of figures, based on real data.",
acknowledgement = ack-nhfb,
subject = "Datenanalyse.; R (Programm)",
tableofcontents = "Data for Everybody \\
Structure and Technical Requirements \\
Implementation in R \\
Beyond R \\
Regarding the Examples \\
Categorical Data \\
Distributions \\
Time Series \\
Scatter Plots \\
Maps \\
Illustrative Examples",
}
@Book{Rao:2017:BAU,
author = "Umesh Hodeghatta Rao and Umesh Nayak",
title = "Business analytics using {R} --- A practical
approach",
publisher = pub-APRESS,
address = pub-APRESS:adr,
pages = "xvii + 280",
year = "2017",
ISBN = "1-4842-2513-9 (paperback), 1-4842-2514-7 (e-book)",
ISBN-13 = "978-1-4842-2513-4 (paperback), 978-1-4842-2514-1
(e-book)",
LCCN = "HF5548.2 .R284 2017",
bibdate = "Sat Jan 13 07:35:02 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "Learn the fundamental aspects of the business
statistics, data mining, and machine learning
techniques required to understand the huge amount of
data generated by your organization. This book explains
practical business analytics through examples, covers
the steps involved in using it correctly, and shows you
the context in which a particular technique does not
make sense. Further, \booktitle{Practical Business
Analytics using R} helps you understand specific issues
faced by organizations and how the solutions to these
issues can be facilitated by business analytics. This
book will discuss and explore the following through
examples and case studies: An introduction to R: data
management and R functions The architecture, framework,
and life cycle of a business analytics project
Descriptive analytics using R: descriptive statistics
and data cleaning Data mining: classification,
association rules, and clustering Predictive analytics:
simple regression, multiple regression, and logistic
regression This book includes case studies on important
business analytic techniques, such as classification,
association, clustering, and regression. The R language
is the statistical tool used to demonstrate the
concepts throughout the book. You will: * Write R
programs to handle data; * Build analytical models and
draw useful inferences from them; * Discover the basic
concepts of data mining and machine learning; * Carry
out predictive modeling; * Define a business issue as
an analytical problem.",
acknowledgement = ack-nhfb,
subject = "Business; Data processing; Management information
systems; R (Computer program language); Computer
Science; Big Data; Programming Techniques; Programming
Languages, Compilers, Interpreters; Data Mining and
Knowledge Discovery; Information Storage and Retrieval;
Probability and Statistics in Computer Science; Data
processing; Management information systems; R (Computer
program language)",
tableofcontents = "Overview of business analytics \\
Introduction to R \\
R for data analysis \\
Introduction to descriptive analytics \\
Business analytics process and data exploration \\
Supervised machine learning: classification \\
Unsupervised machine learning \\
Simple linear regression \\
Multiple linear regression \\
Logistic regression \\
Big data analysis: introduction and future trends",
}
@Article{Risser:2017:LLE,
author = "Mark D. Risser and Catherine A. Calder",
title = "Local Likelihood Estimation for Covariance Functions
with Spatially-Varying Parameters: The \pkg{convoSPAT}
Package for {R}",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i14",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i14;
https://www.jstatsoft.org/index.php/jss/article/view/v081i14/v81i14.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Robinson:2017:BRE,
author = "Andrew Robinson",
title = "Book Review: {{\booktitle{Extending R}}. John
Chambers, Chapman and Hall\slash CRC, Boca Raton, 2016.
No. of pages: 364. Price: 44.99 GBP. ISBN:
978-1-4987-7571-7}",
journal = j-STAT-MED,
volume = "36",
number = "11",
pages = "1839--1840",
day = "20",
month = may,
year = "2017",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.7271",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:48:55 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "02 May 2017",
}
@Article{Rovigatti:2017:PFE,
author = "Gabriele Rovigatti",
title = "Production Function Estimation in {R}: The
\pkg{prodest} Package",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "18",
pages = "371:1--371:1",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00371",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00371",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "09 October 2017",
ORCID-numbers = "Gabriele Rovigatti / 0000-0003-4021-3070",
}
@Article{Royuela-del-Val:2017:LFP,
author = "Javier Royuela-del-Val and Federico
Simmross-Wattenberg and Carlos Alberola-L{\'o}pez",
title = "\pkg{libstable}: Fast, Parallel, and High-Precision
Computation of $ \alpha $-Stable Distributions in {R},
{C}/{C++}, and {MATLAB}",
journal = j-J-STAT-SOFT,
volume = "78",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v78.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Thu Jun 8 18:10:20 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/matlab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v078i01;
https://www.jstatsoft.org/index.php/jss/article/view/v078i01/v78i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Ruiz:2017:BRS,
author = "Diego Andr{\'e}s P{\'e}rez Ruiz",
title = "Book Review: {{\booktitle{Statistical Rethinking: A
Bayesian Course with Examples in R and Stan}}, Richard
McElreath CRC Press, 2015, 469 pages, {\pounds}67.99,
hardcover ISBN: 978-1-4822-5344-3}",
journal = j-INT-STAT-REV,
volume = "85",
number = "2",
pages = "379--380",
month = aug,
year = "2017",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12229",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Fri Aug 18 09:36:42 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
}
@Article{Salmon:2017:PRR,
author = "Ma{\"e}lle Salmon and Sreekanth Vakacherla and Carles
Mil{\`a} and Julian D. Marshall and Cathryn Tonne",
title = "\pkg{rtimicropem}: an {R} package supporting the
analysis of {RTI MicroPEM} output files",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "16",
pages = "333:1--333:1",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00333",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00333",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "02 August 2017",
ORCID-numbers = "Ma{\"e}lle Salmon / 0000-0002-2815-0399; Sreekanth
Vakacherla / 0000-0003-0400-6584; Carles Mil{\`a} /
0000-0003-0470-0760; Julian D. Marshall /
0000-0003-4087-1209; Cathryn Tonne /
0000-0003-3919-8264",
}
@Article{Saul:2017:RIS,
author = "Bradley C. Saul and Michael G. Hudgens",
title = "A Recipe for inferference: Start with Causal
Inference. {Add} Interference. {Mix} Well with {R}",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i02;
https://www.jstatsoft.org/index.php/jss/article/view/v082i02/v82i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Schep:2017:PII,
author = "Alicia N. Schep and Sarah K. Kummerfeld",
title = "\pkg{iheatmapr}: Interactive complex heatmaps in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "16",
pages = "359:1--359:1",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00359",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00359",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "14 August 2017",
ORCID-numbers = "Alicia N. Schep / 0000-0002-3915-0618; Sarah K.
Kummerfeld / 0000-0002-0089-2358",
}
@Book{Schiesser:2017:SCM,
author = "William E. Schiesser",
title = "Spline Collocation Methods for Partial Differential
Equations: with Applications in {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xv + 549",
year = "2017",
DOI = "https://doi.org/10.1002/9781119301066",
ISBN = "1-119-30103-3 (hardcover), 1-119-30105-X (PDF),
1-119-30104-1 (ePub), 1-119-30106-8 (online)",
ISBN-13 = "978-1-119-30103-5 (hardcover), 978-1-119-30105-9
(PDF), 978-1-119-30104-2 (ePub), 978-1-119-30106-6
(online)",
LCCN = "QA377 .S355 2017",
bibdate = "Tue Mar 13 10:16:43 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/bibnet/authors/c/clerk-maxwell-james.bib;
https://www.math.utah.edu/pub/bibnet/authors/p/planck-max.bib;
https://www.math.utah.edu/pub/tex/bib/einstein.bib;
https://www.math.utah.edu/pub/tex/bib/numana2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
shorttableofcontents = "One-dimensional PDEs \\
Multidimensional PDEs \\
Navier--Stokes, Burgers equations \\
Korteweg--deVries equation \\
Maxwell equations \\
Poisson--Nernst--Planck equations \\
Fokker--Planck equation \\
Fisher--Kolmogorov equation \\
Klein--Gordon equation \\
Boussinesq equation \\
Cahn--Hilliard equation \\
Camassa--Holm equation \\
Burgers--Huxley equation \\
Gierer--Meinhardt equations \\
Keller--Segel equations \\
Fitzhugh--Nagumo equations \\
Euler--Poisson--Darboux equation \\
Kuramoto--Sivashinsky equation \\
Einstein--Maxwell equations",
subject = "Differential equations, Partial; Mathematical models;
Spline theory",
tableofcontents = "Preface / xiii \\
About the Companion Website / xv \\
1 Introduction / 1 \\
1.1 Uniform Grids / 2 \\
1.2 Variable Grids / 18 \\
1.3 Stagewise Differentiation / 24 \\
Appendix A1 --- Online Documentation for splinefun / 27
\\
Reference / 30 \\
2 One-Dimensional PDEs / 31 \\
2.1 Constant Coefficient / 31 \\
2.1.1 Dirichlet BCs / 32 \\
2.1.1.1 Main Program / 33 \\
2.1.1.2 ODE Routine / 40 \\
2.1.2 Neumann BCs / 43 \\
2.1.2.1 Main Program / 44 \\
2.1.2.2 ODE Routine / 46 \\
2.1.3 Robin BCs / 49 \\
2.1.3.1 Main Program / 50 \\
2.1.3.2 ODE Routine / 55 \\
2.1.4 Nonlinear BCs / 60 \\
2.1.4.1 Main Program / 61 \\
2.1.4.2 ODE Routine / 63 \\
2.2 Variable Coefficient / 64 \\
2.2.1 Main Program / 67 \\
2.2.2 ODE Routine / 71 \\
2.3 Inhomogeneous, Simultaneous, Nonlinear / 76 \\
2.3.1 Main Program / 78 \\
2.3.2 ODE routine / 85 \\
2.3.3 Subordinate Routines / 88 \\
2.4 First Order in Space and Time / 94 \\
2.4.1 Main Program / 96 \\
2.4.2 ODE Routine / 101 \\
2.4.3 Subordinate Routines / 105 \\
2.5 Second Order in Time / 107 \\
2.5.1 Main Program / 109 \\
2.5.2 ODE Routine / 114 \\
2.5.3 Subordinate Routine / 117 \\
2.6 Fourth Order in Space / 120 \\
2.6.1 First Order in Time / 120 \\
2.6.1.1 Main Program / 121 \\
2.6.1.2 ODE Routine / 125 \\
2.6.2 Second Order in Time / 138 \\
2.6.2.1 Main Program / 140 \\
2.6.2.2 ODE Routine / 143 \\
References / 155 \\
3 Multidimensional PDEs / 157 \\
3.1 2D in Space / 157 \\
3.1.1 Main Program / 158 \\
3.1.2 ODE Routine / 163 \\
3.2 3D in Space / 170 \\
3.2.1 Main Program, Case 1 / 170 \\
3.2.2 ODE Routine / 174 \\
3.2.3 Main Program, Case 2 / 183 \\
3.2.4 ODE Routine / 187 \\
3.3 Summary and Conclusions / 193 \\
4 Navier--Stokes, Burgers' Equations / 197 \\
4.1 PDE Model / 197 \\
4.2 Main Program / 198 \\
4.3 ODE Routine / 203 \\
4.4 Subordinate Routine / 205 \\
4.5 Model Output / 206 \\
4.6 Summary and Conclusions / 208 \\
Reference / 209 \\
5 Korteweg--de Vries Equation / 211 \\
5.1 PDE Model / 211 \\
5.2 Main Program / 212 \\
5.3 ODE Routine / 225 \\
5.4 Subordinate Routines / 228 \\
5.5 Model Output / 234 \\
5.6 Summary and Conclusions / 238 \\
References / 239 \\
6 Maxwell Equations / 241 \\
6.1 PDE Model / 241 \\
6.2 Main Program / 243 \\
6.3 ODE Routine / 248 \\
6.4 Model Output / 252 \\
6.5 Summary and Conclusions / 252 \\
Appendix A6.1. Derivation of the Analytical Solution /
257 \\
Reference / 259 \\
7 Poisson--Nernst--Planck Equations / 261 \\
7.1 PDE Model / 261 \\
7.2 Main Program / 265 \\
7.3 ODE Routine / 271 \\
7.4 Model Output / 276 \\
7.5 Summary and Conclusions / 284 \\
References / 286 \\
8 Fokker--Planck Equation / 287 \\
8.1 PDE Model / 287 \\
8.2 Main Program / 288 \\
8.3 ODE Routine / 293 \\
8.4 Model Output / 295 \\
8.5 Summary and Conclusions / 301 \\
References / 303 \\
9 Fisher--Kolmogorov Equation / 305 \\
9.1 PDE Model / 305 \\
9.2 Main Program / 306 \\
9.3 ODE Routine / 311 \\
9.4 Subordinate Routine / 313 \\
9.5 Model Output / 314 \\
9.6 Summary and Conclusions / 316 \\
Reference / 316 \\
10 Klein--Gordon Equation / 317 \\
10.1 PDE Model, Linear Case / 317 \\
10.2 Main Program / 318 \\
10.3 ODE Routine / 323 \\
10.4 Model Output / 326 \\
10.5 PDE Model, Nonlinear Case / 328 \\
10.6 Main Program / 330 \\
10.7 ODE Routine / 335 \\
10.8 Subordinate Routines / 338 \\
10.9 Model Output / 339 \\
10.10 Summary and Conclusions / 342 \\
Reference / 342 \\
11 Boussinesq Equation / 343 \\
11.1 PDE Model / 343 \\
11.2 Main Program / 344 \\
11.3 ODE Routine / 350 \\
11.4 Subordinate Routines / 354 \\
11.5 Model Output / 355 \\
11.6 Summary and Conclusions / 358 \\
References / 358 \\
12 Cahn--Hilliard Equation / 359 \\
12.1 PDE Model / 359 \\
12.2 Main Program / 360 \\
12.3 ODE Routine / 366 \\
12.4 Model Output / 369 \\
12.5 Summary and Conclusions / 379 \\
References / 379 \\
13 Camassa--Holm Equation / 381 \\
13.1 PDE Model / 381 \\
13.2 Main Program / 382 \\
13.3 ODE Routine / 388 \\
13.4 Model Output / 391 \\
13.5 Summary and Conclusions / 394 \\
13.6 Appendix A13.1: Second Example of a PDE with a
Mixed Partial Derivative / 395 \\
13.7 Main Program / 395 \\
13.8 ODE Routine / 398 \\
13.9 Model Output / 400 \\
Reference / 403 \\
14 Burgers--Huxley Equation / 405 \\
14.1 PDE Model / 405 \\
14.2 Main Program / 406 \\
14.3 ODE Routine / 411 \\
14.4 Subordinate Routine / 416 \\
14.5 Model Output / 417 \\
14.6 Summary and Conclusions / 422 \\
References / 422 \\
15 Gierer--Meinhardt Equations / 423 \\
15.1 PDE Model / 423 \\
15.2 Main Program / 424 \\
15.3 ODE Routine / 429 \\
15.4 Model Output / 432 \\
15.5 Summary and Conclusions / 437 \\
Reference / 440 \\
16 Keller--Segel Equations / 441 \\
16.1 PDE Model / 441 \\
16.2 Main Program / 443 \\
16.3 ODE Routine / 449 \\
16.4 Subordinate Routines / 453 \\
16.5 Model Output / 453 \\
16.6 Summary and Conclusions / 458 \\
Appendix A16.1. Diffusion Models / 458 \\
References / 459 \\
17 Fitzhugh--Nagumo Equations / 461 \\
17.1 PDE Model / 461 \\
17.2 Main Program / 462 \\
17.3 ODE Routine / 467 \\
17.4 Model Output / 470 \\
17.5 Summary and Conclusions / 475 \\
Reference / 475 \\
18 Euler--Poisson--Darboux Equation / 477 \\
18.1 PDE Model / 477 \\
18.2 Main Program / 478 \\
18.3 ODE Routine / 483 \\
18.4 Model Output / 488 \\
18.5 Summary and Conclusions / 493 \\
References / 493 \\
19 Kuramoto--Sivashinsky Equation / 495 \\
19.1 PDE Model / 495 \\
19.2 Main Program / 496 \\
19.3 ODE Routine / 503 \\
19.4 Subordinate Routines / 506 \\
19.5 Model Output / 508 \\
19.6 Summary and Conclusions / 513 \\
References / 514 \\
20 Einstein--Maxwell Equations / 515 \\
20.1 PDE Model / 515 \\
20.2 Main Program / 516 \\
20.3 ODE Routine / 521 \\
20.4 Model Output / 526 \\
20.5 Summary and Conclusions / 533 \\
Reference / 536 \\
A Differential Operators in Three Orthogonal Coordinate
Systems / 537 \\
References / 539 \\
Index / 541",
}
@Book{Schmuller:2017:SAR,
author = "Joseph Schmuller",
title = "Statistical analysis with {R} for dummies",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xiii + 438",
year = "2017",
ISBN = "1-119-33726-7 (paperback), 1-119-33709-7 (e-book),
1-119-33726-7 (e-book)",
ISBN-13 = "978-1-119-33726-3 (paperback), 978-1-119-33709-6
(e-book), 978-1-119-33726-3 (e-book)",
LCCN = "QA276.45.R3 S386 2017",
bibdate = "Tue Feb 11 05:57:39 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "For dummies",
URL = "http://proquest.safaribooksonline.com/9781119337065",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Data processing; Statistics; Data
processing.; R (Computer program language)",
tableofcontents = "Introduction \\
About This Book \\
Similarity with This Other For Dummies Book \\
What You Can Safely Skip \\
Foolish Assumptions \\
How This Book Is Organized \\
Part 1: Getting Started with Statistical Analysis with
R \\
Part 2: Describing Data \\
Part 3: Drawing Conclusions from Data \\
Part 4: Working with Probability \\
Part 5: The Part of Tens \\
Online Appendix A: More on Probability \\
Online Appendix B: Non-Parametric Statistics \\
Online Appendix C: Ten Topics That Just Didn't Fit in
Any Other Chapter \\
Icons Used in This Book \\
Where to Go from Here \\
Part 1: Getting Started with Statistical Analysis with
R \\
Chapter 1: Data, Statistics, and Decisions \\
The Statistical (and Related) Notions You Just Have to
Know \\
Samples and populations \\
Variables: Dependent and independent \\
Types of data \\
A little probability \\
Inferential Statistics: Testing Hypotheses \\
Null and alternative hypotheses \\
Two types of error \\
Chapter 2: R: What It Does and How It Does It \\
Downloading R and RStudio \\
A Session with R \\
The working directory \\
So let's get started, already \\
Missing data \\
R Functions \\
User-Defined Functions \\
Comments \\
R Structures \\
Vectors \\
Numerical vectors \\
Matrices \\
Factors \\
Lists \\
Lists and statistics \\
Data frames \\
Packages \\
More Packages \\
R Formulas \\
Reading and Writing \\
Spreadsheets \\
CSV files \\
Text files \\
Part 2: Describing Data \\
Chapter 3: Getting Graphic \\
Finding Patterns \\
Graphing a distribution \\
Bar-hopping \\
Slicing the pie \\
The plot of scatter \\
Of boxes and whiskers \\
Base R Graphics \\
Histograms \\
Adding graph features \\
Bar plots \\
Pie graphs \\
Dot charts \\
Bar plots revisited \\
Scatter plots \\
Box plots \\
Graduating to ggplot2 \\
Histograms \\
Bar plots \\
Dot charts \\
Bar plots re-revisited \\
Scatter plots \\
Box plots \\
Wrapping Up \\
Chapter 4: Finding Your Center \\
Means: The Lure of Averages \\
The Average in R: mean() \\
What's your condition? \\
Eliminate -signs forth with() \\
Exploring the data \\
Outliers: The flaw of averages \\
Other means to an end \\
Medians: Caught in the Middle \\
The Median in R: median() \\
Statistics {\`a} la Mode \\
The Mode in R \\
Chapter 5: Deviating from the Average \\
Measuring Variation \\
Averaging squared deviations: Variance and how to
calculate it \\
Sample variance \\
Variance in R \\
Back to the Roots: Standard Deviation \\
Population standard deviation \\
Sample standard deviation \\
Standard Deviation in R Conditions, Conditions,
Conditions \ldots{} \\
Chapter 6: Meeting Standards and Standings \\
Catching Some Z's \\
Characteristics of z-scores \\
Bonds versus the Bambino \\
Exam scores \\
Standard Scores in R \\
Where Do You Stand? \\
Ranking in R \\
Tied scores \\
Nth smallest, Nth largest \\
Percentiles \\
Percent ranks \\
Summarizing \\
Chapter 7: Summarizing It All \\
How Many? \\
The High and the Low \\
Living in the Moments \\
A teachable moment \\
Back to descriptives \\
Skewness \\
Kurtosis \\
Tuning in the Frequency \\
Nominal variables: table() et al \\
Numerical variables: hist() \\
Numerical variables: stem() \\
Summarizing a Data Frame \\
Chapter 8: What's normal? \\
Chapter 9: The confidence game: estimation \\
Chapter 10: One-sample hypothesis testing \\
Chapter 11: Two-sample hypothesis testing \\
Chapter 12: Testing more than two samples \\
[n/a] \\
Chapter 15: Correlation: the rise and fall of
relationships \\
Chapter 16: Curvilinear regression: when relationships
get complicated \\
Part 4: Working with probability \\
Chapter 17: Introducing probability \\
Chapter 18: Introducing modeling \\
Part 5: The Part of Tens \\
Chapter 19: Ten tips for Excel emigr{\'e}s \\
Chapter 20: Ten valuable online R resources \\
Index",
}
@Article{Schwabe:2017:PBR,
author = "Inga Schwabe",
title = "\pkg{BayesTwin}: An {R} Package for {Bayesian}
Inference of Item-Level Twin Data",
journal = j-J-OPEN-RES-SOFT,
volume = "5",
number = "1",
pages = "33--??",
day = "14",
month = nov,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.185",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:50 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.185/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Selig:2017:BRM,
author = "Katharina Selig",
title = "Book Review: {Munzert, Simon, Rubba, Christian,
Meissner, Peter, and Nyhuis, Dominic.
\booktitle{Automated Data Collection with R: a
Practical Guide to Web Scraping and Text Mining}.
Hoboken: Wiley}",
journal = j-BIOMETRICS,
volume = "73",
number = "4",
pages = "1469--1469",
month = dec,
year = "2017",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12830",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:43 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "27 December 2017",
}
@Article{Sestelo:2017:NRP,
author = "Marta Sestelo and Nora M. Villanueva and Luis
Meira-Machado and Javier Roca-Pardi{\~n}as",
title = "\pkg{npregfast}: An {R} Package for Nonparametric
Estimation and Inference in Life Sciences",
journal = j-J-STAT-SOFT,
volume = "82",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v82.i12",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v082i12;
https://www.jstatsoft.org/index.php/jss/article/view/v082i12/v82i12.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Siu:2017:PRP,
author = "Chapman Siu",
title = "\pkg{Ramble}: Parser Combinator for {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "11",
pages = "209:1--209:1",
month = mar,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00209",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00209",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "27 March 2017",
ORCID-numbers = "Chapman Siu / 0000-0002-2089-3796",
}
@Article{Smith:2017:PUP,
author = "Andrew P. Smith",
title = "\pkg{UKCensusAPI}: {Python} and {R} interfaces to the
nomisweb {UK} census data {API}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "19",
pages = "408:1--408:1",
month = nov,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00408",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00408",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "20 November 2017",
ORCID-numbers = "Andrew P. Smith / 0000-0002-9951-6642",
}
@Article{Sofrygin:2017:SRP,
author = "Oleg Sofrygin and Mark J. van der Laan and Romain
Neugebauer",
title = "\pkg{simcausal} {R} Package: Conducting Transparent
and Reproducible Simulation Studies of Causal Effect
Estimation with Complex Longitudinal Data",
journal = j-J-STAT-SOFT,
volume = "81",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v81.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:23 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v081i02;
https://www.jstatsoft.org/index.php/jss/article/view/v081i02/v81i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Sparks:2017:PBF,
author = "Adam H. Sparks and Mark Padgham and Hugh Parsonage and
Keith Pembleton",
title = "\pkg{bomrang}: Fetch {Australian Government Bureau of
Meteorology} Data in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "17",
pages = "411:1--411:2",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00411",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00411",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "21 September 2017",
ORCID-numbers = "Adam H. Sparks / 0000-0002-0061-8359; Mark Padgham /
0000-0003-2172-5265; Hugh Parsonage /
0000-0003-4055-0835; Keith Pembleton /
0000-0002-1896-4516",
}
@Article{Sparks:2017:PGG,
author = "Adam H. Sparks and Tomislav Hengl and Andrew Nelson",
title = "\pkg{GSODR}: Global Summary Daily Weather Data in
{R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "10",
pages = "177:1--177:2",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00177",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00177",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "03 February 2017",
ORCID-numbers = "Adam H. Sparks / 0000-0002-0061-8359; Tomislav Hengl
/ 0000-0002-9921-5129; Andrew Nelson /
0000-0002-7249-3778",
}
@Article{Sparks:2017:PGU,
author = "Adam H. Sparks",
title = "\pkg{getCRUCLdata}: Use and Explore \pkg{CRU CL} v.
2.0 Climatology Elements in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "12",
pages = "230:1--230:1",
month = apr,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00230",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00230",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "06 April 2017",
ORCID-numbers = "Adam H. Sparks / 0000-0002-0061-8359",
}
@Article{Stadler:2017:ORL,
author = "Lukas Stadler and Adam Welc and Christian Humer and
Mick Jordan",
title = "Optimizing {R} language execution via aggressive
speculation",
journal = j-SIGPLAN,
volume = "52",
number = "2",
pages = "84--95",
month = feb,
year = "2017",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/3093334.2989236",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Sat Sep 16 10:18:15 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
abstract = "The R language, from the point of view of language
design and implementation, is a unique combination of
various programming language concepts. It has
functional characteristics like lazy evaluation of
arguments, but also allows expressions to have
arbitrary side effects. Many runtime data structures,
for example variable scopes and functions, are
accessible and can be modified while a program
executes. Several different object models allow for
structured programming, but the object models can
interact in surprising ways with each other and with
the base operations of R. R works well in practice, but
it is complex, and it is a challenge for language
developers trying to improve on the current
state-of-the-art, which is the reference implementation
--- GNU R. The goal of this work is to demonstrate
that, given the right approach and the right set of
tools, it is possible to create an implementation of
the R language that provides significantly better
performance while keeping compatibility with the
original implementation. In this paper we describe
novel optimizations backed up by aggressive speculation
techniques and implemented within FastR, an alternative
R language implementation, utilizing Truffle --- a
JVM-based language development framework developed at
Oracle Labs. We also provide experimental evidence
demonstrating effectiveness of these optimizations in
comparison with GNU R, as well as Renjin and TERR
implementations of the R language.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J706",
remark = "DLS '16 conference proceedings.",
}
@Article{Stegmaier:2017:PGR,
author = "Philip Stegmaier and Alexander Kel and Edgar
Wingender",
title = "\pkg{geneXplainR}: An {R} interface for the
{geneXplain} platform",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "2",
number = "18",
pages = "412:1--412:3",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00412",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00412",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "17 October 2017",
ORCID-numbers = "Philip Stegmaier / 0000-0002-1881-8746",
}
@Article{Subbiah:2017:PCR,
author = "M. Subbiah and V. Rajeswaran",
title = "\pkg{proportion}: a comprehensive {R} package for
inference on single binomial proportion and {Bayesian}
computations",
journal = j-SOFTWAREX,
volume = "6",
number = "??",
pages = "30--35",
month = "????",
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2017.01.001",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:33 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711017300018",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Book{Taveras:2017:REU,
author = "John L. Taveras",
title = "{R} for {Excel} users: an introduction to {R} for
{Excel} analysts",
publisher = "CreateSpace Independent Publishing Platform",
address = "North Charleston, SC, USA",
pages = "v + 196",
year = "2017",
ISBN = "1-5005-6635-7 (paperback)",
ISBN-13 = "978-1-5005-6635-7 (paperback)",
LCCN = "QA276.45.R3 T38 2017",
bibdate = "Tue Feb 11 05:50:43 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "R has a steep learning curve and, if taken in all at
once, it can be overwhelming. But we can tame this
curve by putting aside visualizations and analysis, and
focusing on working with data. This book is all about
data manipulation: importing, creating, modifying,
filtering, summarizing and reshaping data sets. You
will also go deep on the building blocks of R: vectors
and functions.",
acknowledgement = ack-nhfb,
subject = "Datenanalyse; Tabellenkalkulation; Software;
Programmierung; Vektor; Funktion; Pivottabelle; Liste;
Loop",
}
@Article{Taylor:2017:RPA,
author = "Julian Taylor and David Butler",
title = "{R} Package {ASMap}: Efficient Genetic Linkage Map
Construction and Diagnosis",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i06;
https://www.jstatsoft.org/index.php/jss/article/view/v079i06/v79i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Templ:2017:SSC,
author = "Matthias Templ and Bernhard Meindl and Alexander
Kowarik and Olivier Dupriez",
title = "Simulation of Synthetic Complex Data: The {R} Package
\pkg{simPop}",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i10;
https://www.jstatsoft.org/index.php/jss/article/view/v079i10/v79i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Totterdell:2017:BHM,
author = "James A. Totterdell and Darfiana Nur and Kerrie L.
Mengersen",
title = "{Bayesian} hidden {Markov} models in {DNA} sequence
segmentation using {R}: the case of {Simian Vacuolating
virus (SV40)}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "87",
number = "14",
pages = "2799--2827",
year = "2017",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2017.1344666",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Wed Jul 26 06:57:31 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "28 Jun 2017",
}
@Article{Touraine:2017:SRP,
author = "C{\'e}lia Touraine and Thomas A. Gerds and Pierre
Joly",
title = "{SmoothHazard}: An {R} Package for Fitting Regression
Models to Interval-Censored Observations of
Illness-Death Models",
journal = j-J-STAT-SOFT,
volume = "79",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v79.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Aug 25 06:18:01 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v079i07;
https://www.jstatsoft.org/index.php/jss/article/view/v079i07/v79i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Vignes:2017:BRB,
author = "Matthieu Vignes and M{\'e}lodie Sammarro and Anthime
Schrefheere and Alex White and Stephen Marsland",
title = "Book Review: {{\booktitle{Bayesian Networks: With
Examples in R}}}",
journal = j-ANZJS,
volume = "59",
number = "4",
pages = "545--546",
month = dec,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12220",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Sat Jan 20 07:47:13 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
}
@Article{Wallace:2017:DTR,
author = "Michael P. Wallace and Erica E. M. Moodie and David A.
Stephens",
title = "Dynamic Treatment Regimen Estimation via
Regression-Based Techniques: Introducing {R} Package
\pkg{DTRreg}",
journal = j-J-STAT-SOFT,
volume = "80",
number = "??",
pages = "??--??",
month = "????",
year = "2017",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v80.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Sat Jan 13 07:21:18 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v080i02;
https://www.jstatsoft.org/index.php/jss/article/view/v080i02/v80i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Wickham:2017:RDS,
author = "Hadley Wickham and Garrett Grolemund",
title = "{R} for data science: import, tidy, transform,
visualize, and model data",
publisher = pub-ORA-MEDIA,
address = pub-ORA-MEDIA:adr,
year = "2017",
ISBN = "1-4919-1039-9 (paperback), 1-4919-1033-X (e-book),
1-4919-1034-8 (e-book), 1-4919-1036-4 (e-book)",
ISBN-13 = "978-1-4919-1039-9 (paperback), 978-1-4919-1033-7
(e-book), 978-1-4919-1034-4 (e-book), 978-1-4919-1036-8
(e-book)",
LCCN = "QA76 .W53 2017",
bibdate = "Wed Sep 20 09:48:57 MDT 2017",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://ebookcentral.proquest.com/lib/imperial/detail.action?docID=4770093",
acknowledgement = ack-nhfb,
subject = "Electronic data processing; R (Computer program
language); Databases; Big data; Big data; Databases;
Electronic data processing; R (Computer program
language)",
tableofcontents = "Preface / ix \\
Part I. Explore \\
1: Data visualization with ggplot2 / 3 \\
2: Workflow: basics / 37 \\
3: Data transformation with dplyr / 43 \\
4: Workflow: scripts / 77 \\
5: Exploratory data analysis / 81 \\
6: Workflow: projects / 111 \\
Part II. Wrangle \\
7: Tibbles with tibble / 119 \\
8: Data import with readr / 125 \\
9: Tidy data with tidyr / 147 \\
10: Relational data with dplyr / 171 \\
11: Strings with stringr / 195 \\
12: Factors with forcats / 223 \\
13: Dates and times with lubridate / 237 \\
Part III. Program \\
14: Pipes with magrittr / 261 \\
15: Functions / 269 \\
16: Vectors / 291 \\
17: Iteration with purrr / 313 \\
Part IV. Model \\
18: Model basics with modelr / 345 \\
19: Model building / 375 \\
20: Many models with purrr and broom / 397 \\
Part V. Communicate \\
21: R Markdown / 423 \\
22: Graphics for communication with ggplot2 / 441 \\
23: R Markdown formats / 469 \\
24: R Markdown workflow / 479 \\
Index / 483",
}
@Book{Woodward:2017:ATS,
author = "Wayne A. Woodward and Henry L. Gray and Alan C.
Elliott",
title = "Applied Time Series Analysis, with {R}",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
edition = "Second",
pages = "xv + 618",
year = "2017",
ISBN = "1-4987-3422-7 (hardcover), 1-4987-3431-6 (ePub
e-book), 1-4987-3427-8 (PDF e-book), 1-4987-3429-4
(VitalBook e-book)",
ISBN-13 = "978-1-4987-3422-6 (hardcover), 978-1-4987-3431-8 (ePub
e-book), 978-1-4987-3427-1 (PDF e-book),
978-1-4987-3429-5 (VitalBook e-book)",
LCCN = "QA280 .W68 2017",
bibdate = "Fri Feb 23 10:39:52 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Time-series analysis; R (Computer program language)",
tableofcontents = "1. Stationary time series \\
2. Linear filters \\
3. ARMA time series models \\
4. Other stationary time series models \\
5. Nonstationary time series models \\
6. Forecasting \\
7. Parameter estimation \\
8. Model identification \\
9. Model building \\
10. Vector-valued (multivariate) time series \\
11. Long-memory processes \\
12. Wavelets \\
13. G-Stationary processes",
}
@Article{Yanagida:2017:SRP,
author = "Takuya Yanagida",
title = "\pkg{seqtest}: an {R} package for sequential
triangular tests",
journal = j-J-STAT-THEORY-PRACT,
volume = "11",
number = "3",
pages = "402--406",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1080/15598608.2016.1268549",
ISSN = "1559-8608 (print), 1559-8616 (electronic)",
ISSN-L = "1559-8608",
bibdate = "Thu Jun 18 14:01:26 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstattheorypract.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1080/15598608.2016.1268549",
acknowledgement = ack-nhfb,
ajournal = "J. Stat. Theory. Pract.",
fjournal = "Journal of Statistical Theory and Practice",
journal-URL = "http://link.springer.com/journal/42519",
}
@Article{Yu:2017:PMR,
author = "Qingzhao Yu and Bin Li",
title = "\pkg{mma}: An {R} Package for Mediation Analysis with
Multiple Mediators",
journal = j-J-OPEN-RES-SOFT,
volume = "5",
number = "1",
pages = "11--??",
day = "12",
month = apr,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.160",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:50 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.160/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Zurbenko:2017:AKZ,
author = "Igor G. Zurbenko and Mingzeng Sun",
title = "Applying {Kolmogorov--Zurbenko} Adaptive
{R}-Software",
journal = j-INT-J-STAT-PROBAB,
volume = "6",
number = "5",
pages = "110--??",
month = "????",
year = "2017",
CODEN = "????",
ISSN = "1927-7032 (print), 1927-7040 (electronic)",
ISSN-L = "1927-7032",
bibdate = "Fri Aug 25 05:49:46 MDT 2017",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intjstatprobab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.ccsenet.org/journal/index.php/ijsp/article/view/69632",
acknowledgement = ack-nhfb,
journal-URL = "http://www.ccsenet.org/journal/index.php/ijsp/issue/archive",
}
@Article{Andrews:2018:TRP,
author = "Jeffrey L. Andrews and Jaymeson R. Wickins and
Nicholas M. Boers and Paul D. McNicholas",
title = "\pkg{teigen}: An {R} Package for Model-Based
Clustering and Classification via the Multivariate t
Distribution",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i07;
https://www.jstatsoft.org/index.php/jss/article/view/v083i07/v83i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Anhoj:2018:PQQ,
author = "Jacob Anh{\o}j",
title = "\pkg{qicharts2}: Quality Improvement Charts for {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "25",
pages = "699:1--699:2",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00699",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00699",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "17 May 2018",
ORCID-numbers = "Jacob Anh{\o}j / 0000-0002-7701-1774",
}
@Article{Arel-Bundock:2018:PCR,
author = "Vincent Arel-Bundock and Nils Enevoldsen and C. J.
Yetman",
title = "\pkg{countrycode}: An {R} package to convert country
names and country codes",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "28",
pages = "848:1--848:2",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00848",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00848",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "09 August 2018",
ORCID-numbers = "Vincent Arel-Bundock / 0000-0003-2042-7063; Nils
Enevoldsen / 0000-0001-7195-4117; C. J. Yetman /
0000-0001-5099-9500",
}
@Article{Backlin:2018:DFC,
author = "Christofer L. B{\"a}cklin and Mats G. Gustafsson",
title = "Developer-Friendly and Computationally Efficient
Predictive Modeling without Information Leakage: The
\pkg{emil} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i13",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i13;
https://www.jstatsoft.org/index.php/jss/article/view/v085i13/v85i13.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Bakka:2018:SMR,
author = "Haakon Bakka and H{\aa}vard Rue and Geir-Arne Fuglstad
and Andrea Riebler and David Bolin and Janine Illian
and Elias Krainski and Daniel Simpson and Finn
Lindgren",
title = "Spatial modeling with {R-INLA}: a review",
journal = j-WIRES,
volume = "10",
number = "6",
pages = "e1443:1--e1443:??",
month = nov # "\slash " # dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1443",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Jun 19 13:53:14 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "05 July 2018",
}
@Article{Barber:2018:BRF,
author = "Xavier Barber",
title = "Book Review: {{\booktitle{Flexible Regression and
Smoothing: Using GAMLSS in R}}}",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085b02;
https://www.jstatsoft.org/index.php/jss/article/view/v085b02/v85b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Barter:2018:SRP,
author = "Rebecca L. Barter and Bin Yu",
title = "\pkg{Superheat}: An {R} Package for Creating Beautiful
and Extendable Heatmaps for Visualizing Complex Data",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "27",
number = "4",
pages = "910--922",
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2018.1473780",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Wed Mar 13 09:00:42 MDT 2019",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
onlinedate = "20 Aug 2018",
}
@Article{Barthelemy:2018:CSM,
author = "Johan Barth{\'e}lemy and Thomas Suesse",
title = "Code Snippet: \pkg{mipfp}: An {R} Package for
Multidimensional Array Fitting and Simulating
Multivariate {Bernoulli} Distributions",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.c02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086c02;
https://www.jstatsoft.org/index.php/jss/article/view/v086c02/v86c02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Basu:2018:BRC,
author = "Sumanta Basu",
title = "Book Review: {Cichosz, Pawel. \booktitle{Data Mining
Algorithms explained using R}. Hoboken, Wiley}",
journal = j-BIOMETRICS,
volume = "74",
number = "4",
pages = "1519--1520",
month = dec,
year = "2018",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12975",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:46 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "04 February 2019",
}
@Article{Beare:2018:ISR,
author = "Richard Beare and Bradley Lowekamp and Ziv Yaniv",
title = "Image Segmentation, Registration and Characterization
in {R} with \pkg{SimpleITK}",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086i08;
https://www.jstatsoft.org/index.php/jss/article/view/v086i08/v86i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Becker:2018:NLP,
author = "Richard A. Becker and John M. Chambers and Allan R.
Wilks",
title = "The New {S} Language: a Programming Environment for
Data Analysis and Graphics",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "????",
year = "2018",
ISBN = "1-315-89588-9, 1-351-07498-9 (e-book)",
ISBN-13 = "978-1-315-89588-8, 978-1-351-07498-8 (e-book)",
LCCN = "QA76.73.S15",
bibdate = "Tue Jun 11 15:41:40 MDT 2024",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "CRC revivals",
acknowledgement = ack-nhfb,
tableofcontents = "Dedication \\
Preface \\
1 How to Beat the Lottery \\
1.1 Using S to Understand Data \\
1.2 New Jersey Pick-It Lottery Data \\
1.3 A Comment \\
1.4 Related Reading \\
2 Tutorial Introduction to S \\
2.1 Invoking S \\
2.2 Expressions and Data \\
2.3 Arithmetic \\
2.4 Comparison Operators \\
2.5 Extracting Data: Subscripts \\
2.6 Graphics \\
2.7 Writing Functions \\
2.8 Wrap-up \\
Answers to Selected Exercises \\
3 Using the S Language \\
3.1 Basic Concepts: Expressions and Data \\
3.2 The S Language \\
3.2.1 Expressions and Operators \\
3.2.2 Assignment \\
3.2.3 Subscripts \\
3.2.4 Functions \\
3.2.5 Continuation \\
3.2.6 Operators: Replication, Coercion, and Precedence
\\
3.3 Some Common S Functions \\
3.3.1 Data Manipulation \\
3.3.2 Summaries \\
3.3.3 Numerical Transformations \\
3.3.4 Generation of Random Numbers \\
3.4 The S Environment \\
3.4.1 Errors and Interrupts \\
3.4.2 Editing and Error Correction \\
3.4.3 On-Line Documentation \\
Help \\
3.4.4 UNIX System Interaction \\
3.4.5 Interacting with S: History \\
3.4.6 Options \\
3.4.7 Source and Sink Files \\
3.4.8 Batch Execution of S \\
3.4.9 Controlling the S Session: First, Last \\
3.4.10 S Library \\
Answers to Selected Exercises \\
4 Graphical Methods in S \\
4.1 Introduction to Graphics \\
4.2 Looking at Data \\
4.2.1 Plotting Two-Dimensional Data \\
4.2.2 Studying the Distribution of a Set of Data \\
4.2.3 Comparing Data Distributions \\
4.2.4 Plotting Multivariate Data \\
4.3 Interacting with Plots \\
4.4 Specialized Plots \\
4.4.1 Presentation Graphics: Bars, Pies, and VuGraphs
\\
4.4.2 Maps \\
4.4.3 Plotting Surfaces in Three Dimensions \\
Answers to Selected Exercises \\
5 Data in S \\
5.1 Simple Objects \\
5.1.1 Data Values \\
5.1.2 Creating, Testing, and Coercing Simple Objects
\\
5.1.3 Subscripting \\
5.1.4 Character Vectors \\
5.1.5 Complex Numbers \\
5.2 Non-Atomic Data \\
Components \\
5.3 Data Input \\
5.4 Data Directories and Frames \\
5.4.1 Searching for Objects \\
5.4.2 Getting, Assigning, and Removing \\
5.5 Classes of Objects in S \\
5.5.1 Matrices \\
5.5.2 Arrays \\
5.5.3 Categorical Variables \\
5.5.4 Time-Series \\
5.6 Data Attributes \\
5.6.1 Arithmetic and Comparison with Attributes \\
5.6.2 Throwing Away Attributes \\
Answers to Selected Exercises \\
6 Writing Functions \\
6.1 Overview of Functions \\
6.1.1 The General Form of Functions \\
6.1.2 Missing Arguments \\
Defaults \\
6.1.3 Variable Number of Arguments \\
6.1.4 Designing Functions \\
6.2 Organizing Computations \\
6.2.1 Conditional Computations: if, switch, and and ,
II \\
6.2.2 Iteration: for, while, repeat \\
6.2.3 Recursion \\
6.3 Using UNIX Commands \\
6.4 The Programming Environment \\
6.4.1 Editing \\
6.4.2 Debugging \\
6.4.3 Error Actions \\
Answers to Selected Exercises \\
7 More on Writing Functions \\
7.1 Interacting with Users \\
7.1.1 Writing \\
7.1.2 Reading User Input \\
7.1.3 Menu Interactions \\
7.2 Interface to C and Fortran \\
7.2.1 Dynamic Loading \\
7.2.2 Static Loading: Private Copies of S \\
7.2.3 Using the .Fortran and .C Functions \\
7.2.4 Calling S from C \\
7.3 Specialized Techniques \\
7.3.1 Making Files \\
Cleaning Up \\
on. exit \\
7.3.2 Functions for Data Manipulation \\
7.3.3 User-Defined Operators \\
7.3.4 User-Defined Assignments \\
7.3.5 Efficiency: Time and Memory \\
7.4 Control Over Evaluation \\
7.4.1 Objects Defining the Evaluator \\
7.4.2 Tracing Function Evaluation \\
7.4.3 Taking Over Error-Handling: Restart \\
7.4.4 Redefining Program \\
7.5 Computing on the Language \\
7.5.1 Menu Actions \\
7.5.2 Expressions as Symbolic Arguments \\
7.5.3 Constructing Expressions \\
Answers to Selected Exercises \\
8 More about Data8.1 Classes of Objects in S \\
8.2 Defining Classes by Components \\
8.3 Defining Classes by Attributes \\
8.3.1 Grids: An Extension of Arrays \\
8.3.2 Extended Function Definitions \\
8.4 Attributes or Components? \\
Answers to Selected Exercises \\
9 Examples and Case Studies \\
9.1 Data Input and Checking \\
9.2 Problem Solving: Algorithms \\
9.2.1 Working with Dates \\
9.2.2 Sample Size from Percentages \\
9.2.3 Names from Phone Numbers \\
9.3 Collections of Objects: Data Organization \\
9.4 A Computer Game: Simulation \\
9.5 Presentation Graphics \\
9.6 Symbolic Computations: Derivatives \\
Answers to Selected Exercises \\
10 Advanced Graphics \\
10.1 High-Level Plotting Functions \\
10.2 Basic Notions \\
10.2.1 Plots, Figures, and Coordinate Systems \\
10.2.2 Graphics Objects \\
10.3 Graphical Parameters \\
10.4 Low-Level Plotting Functions \\
10.5 Building Plots \\
10.5.1 Building Graphs \\
10.5.2 Control of Plotting Range \\
10.5.3 A Do-It-Yourself Plot Function \\
10.6 Multiple Plots per Page \\
10.7 Advanced Graphics Applications \\
Answers to Selected Exercises \\
11 How S Works \\
11.1 The Language \\
11.1.1 The Grammar \\
11.1.2 Lexical Items \\
11.2 Semantics: A Model for Evaluation \\
11.2.1 Function Calls: Mode call \\
11.2.2 Mode name \\
11.2.3 Assignments \\
11.2.4 Iteration \\
11.2.5 return \\
break \\
next \\
11.2.6 Braced Lists of Expressions \\
11.2.7 Conditional Expressions: if \\
11.2.8 Bound Function Calls: Mode frame \\
11.2.9 Internal Computations \\
11.3 Special Function Evaluation \\
11.3.1 switch \\
11.3.2 Missing Arguments \\
11.3.3 Substitution \\
Expressions \\
11.3.4 Control: ? and ? and ? and II \\
11.3.5 Argument Matching \\
11.4 Other Important Functions \\
11.4.1 Vector Subscripts: x [i] \\
11.4.2 Array Subscripts \\
11.4.3 Elements, Components, and Attributes \\
11.4.4 Binary (Infix) Operators \\
Bibliography \\
Appendix 1 S Function Documentation \\
Appendix 2 S Dataset Documentation \\
Appendix 3 Index to S Functions \\
Appendix 4 Old-S and S \\
Index",
}
@Book{Becue-Bertaut:2018:TDS,
author = "Monica B{\'e}cue-Bertaut",
title = "Textual Data Science with {R}",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xvii + 194",
year = "2018",
DOI = "https://doi.org/10.1201/9781315212661",
ISBN = "1-138-62691-0 (hardcover), 1-315-21266-8 (e-book)",
ISBN-13 = "978-1-138-62691-1 (hardcover), 978-1-315-21266-1
(e-book)",
LCCN = "HF5548.2 .B36116 2018",
bibdate = "Sat Jun 27 09:22:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "\booktitle{Textual Statistics with R} comprehensively
covers the main multidimensional methods in textual
statistics supported by a specially-written package in
R. Methods discussed include correspondence analysis,
clustering, and multiple factor analysis for contigency
tables. Each method is illuminated by applications. The
book is aimed at researchers and students in
statistics, social sciences, hiistory, literature and
linguistics. The book will be of interest to anyone
from practitioners needing to extract information from
texts to students in the field of massive data, where
the ability to process textual data is becoming
essential.",
acknowledgement = ack-nhfb,
subject = "Data processing; Corpora (Linguistics)",
tableofcontents = "1.1. Textual and contextual data \\
1.1.1. Textual data \\
1.1.2. Contextual data \\
1.1.3. Documents and aggregate documents \\
1.2. Examples and notation \\
1.3. Choosing textual units \\
1.3.1. Graphical forms \\
1.3.2. Lemmas \\
1.3.3. Stems \\
1.3.4. Repeated segments \\
1.3.5. In practice \\
1.4. Preprocessing \\
1.4.1. Unique spelling \\
1.4.2. Partially automated preprocessing \\
1.4.3. Word selection \\
1.5. Word and segment indexes \\
1.6. The Life\_UK corpus: preliminary results \\
1.6.1. Verbal content through word and repeated segment
indexes \\
1.6.2. Univariate description of contextual variables
\\
1.6.3. A note on the frequency range \\
1.7. Implementation with Xplortext \\
1.8. Summary \\
2.1. Data and goals \\
2.1.1. Correspondence analysis: a tool for linguistic
data analysis \\
2.1.2. Data: a small example \\
2.1.3. Objectives \\
2.2. Associations between documents and words \\
2.2.1. Profile comparisons \\
2.2.2. Independence of documents and words \\
2.2.3. The x2 test \\
2.2.4. Association rates between documents and words
\\
2.3. Active row and column clouds \\
2.3.1. Row and column profile spaces \\
2.3.2. Distributional equivalence and the x2 distance
\\
2.3.3. Inertia of a cloud \\
2.4. Fitting document and word clouds \\
2.4.1. Factorial axes \\
2.4.2. Visualizing rows and columns \\
2.4.2.1. Category representation \\
2.4.2.2. Word representation \\
2.4.2.3. Transition formulas \\
2.4.2.4. Simultaneous representation of rows and
columns \\
2.5. Interpretation aids \\
2.5.1. Eigenvalues and representation quality of the
clouds \\
2.5.2. Contribution of documents and words to axis
inertia \\
2.5.3. Representation quality of a point \\
2.6. Supplementary rows and columns \\
2.6.1. Supplementary tables \\
2.6.2. Supplementary frequency rows and columns \\
2.6.3. Supplementary quantitative and qualitative
variables \\
2.7. Validating the visualization \\
2.8. Interpretation scheme for textual CA results \\
2.9. Implementation with Xplortext \\
2.10. Summary of the CA approach \\
3.1. Choosing the level of detail for analyses \\
3.2. Correspondence analysis on aggregate free text
answers \\
3.2.1. Data and objectives \\
3.2.2. Word selection \\
3.2.3. CA on the aggregate table \\
3.2.3.1. Document representation \\
3.2.3.2. Word representation \\
3.2.3.3. Simultaneous interpretation of the plots \\
3.2.4. Supplementary elements \\
3.2.4.1. Supplementary words \\
3.2.4.2. Supplementary repeated segments \\
3.2.4.3. Supplementary categories \\
3.2.5. Implementation with Xplortext \\
3.3. Direct analysis \\
3.3.1. Data and objectives \\
3.3.2. The main features of direct analysis \\
3.3.3. Direct analysis of the culture question \\
3.3.4. Implementation with Xplortext \\
4.1. Clustering documents \\
4.2. Dissimilarity measures between documents \\
4.3. Measuring partition quality \\
4.3.1. Document clusters in the factorial space \\
4.3.2. Partition quality \\
4.4. Dissimilarity measures between document clusters
\\
4.4.1. The single-linkage method \\
4.4.2. The complete-linkage method \\
4.4.3. Ward's method \\
4.5. Agglomerative hierarchical clustering \\
4.5.1. Hierarchical tree construction algorithm \\
4.5.2. Selecting the final partition \\
4.5.3. Interpreting clusters \\
4.6. Direct partitioning \\
4.7. Combining clustering methods \\
4.7.1. Consolidating partitions \\
4.7.2. Direct partitioning followed by AHC \\
4.8. A procedure for combining CA and clustering \\
4.9. Example: joint use of CA and AHC \\
4.9.1. Data and objectives \\
4.9.1.1. Data preprocessing using CA \\
4.9.1.2. Constructing the hierarchical tree \\
4.9.1.3. Choosing the final partition \\
4.10. Contiguity-constrained hierarchical clustering
\\
4.10.1. Principles and algorithm \\
4.10.2. AHC of age groups with a chronological
constraint \\
4.10.3. Implementation with Xplortext \\
4.11. Example: clustering free text answers \\
4.11.1. Data and objectives \\
4.11.2. Data preprocessing \\
4.11.2.1. CA: eigenvalues and total inertia \\
4.11.2.2. Interpreting the first axes \\
4.11.3. AHC: building the tree and choosing the final
partition \\
4.12. Describing cluster features \\
4.12.1. Lexical features of clusters \\
4.12.1.1. Describing clusters in terms of
characteristic words \\
4.12.1.2. Describing clusters in terms of
characteristic documents \\
4.12.2. Describing clusters using contextual variables
\\
4.12.2.1. Describing clusters using contextual
qualitative variables \\
4.12.2.2. Describing clusters using quantitative
contextual variables \\
4.12.3. Implementation with Xplortext \\
4.13. Summary of the use of AHC on factorial
coordinates coming from CA \\
5.1. Characteristic words \\
5.2. Characteristic words and CA \\
5.3. Characteristic words and clustering \\
5.3.1. Clustering based on verbal content \\
5.3.2. Clustering based on contextual variables \\
5.3.3. Hierarchical words \\
5.4. Characteristic documents \\
5.5. Example: characteristic elements and CA \\
5.5.1. Characteristic words for the categories \\
5.5.2. Characteristic words and factorial planes \\
5.5.3. Documents that characterize categories \\
5.6. Characteristic words in addition to clustering \\
5.7. Implementation with Xplortext \\
6.1. Multiple tables in textual data analysis \\
6.2. Data and objectives \\
6.2.1. Data preprocessing \\
6.2.2. Problems posed by lemmatization \\
6.2.3. Description of the corpora data \\
6.2.4. Indexes of the most frequent words \\
6.2.5. Notation \\
6.2.6. Objectives \\
6.3. Introduction to MFACT \\
6.3.1. The limits of CA on multiple contingency tables
\\
6.3.2. How MFACT works \\
6.3.3. Integrating contextual variables \\
6.4. Analysis of multilingual free text answers \\
6.4.1. MFACT: eigenvalues of the global analysis \\
6.4.2. Representation of documents and words \\
6.4.3. Superimposed representation of the global and
partial configurations \\
6.4.4. Links between the axes of the global analysis
and the separate analyses \\
6.4.5. Representation of the groups of words \\
6.4.6. Implementation with Xplortext \\
6.5. Simultaneous analysis of two open-ended questions:
impact of lemmatization \\
6.5.1. Objectives \\
6.5.2. Preliminary steps \\
6.5.3. MFACT on the left and right: lemmatized or
non-lemmatized \\
6.5.4. Implementation with Xplortext \\
6.6. Other applications of MFACT in textual data
science \\
6.7. MFACT summary \\
7.1. General rules for presenting results \\
7.2. Analyzing bibliographic databases \\
7.2.1. Introduction \\
7.2.2. The lupus data \\
7.2.2.1. The corpus \\
7.2.2.2. Exploratory analysis of the corpus \\
7.2.3. CA of the documents x words table \\
7.2.3.1. The eigenvalues \\
7.2.3.2. Meta-keys and doc-keys \\
7.2.4. Analysis of the year-aggregate table \\
7.2.4.1. Eigenvalues and CA of the lexical table \\
7.2.5. Chronological study of drug names \\
7.2.6. Implementation with Xplortext \\
7.2.7. Conclusions from the study \\
7.3. Badinter's speech: a discursive strategy \\
7.3.1. Introduction \\
7.3.2. Methods \\
7.3.2.1. Breaking up the corpus into documents \\
7.3.2.2. The speech trajectory unveiled by CA \\
7.3.3. Results \\
7.3.4. Argument flow \\
7.3.5. Conclusions on the study of Badinter's speech
\\
7.3.6. Implementation with Xplortext \\
7.4. Political speeches \\
7.4.1. Introduction \\
7.4.2. Data and objectives \\
7.4.3. Methodology \\
7.4.4. Results \\
7.4.4.1. Data preprocessing \\
7.4.4.2. Lexicometric characteristics of the 11
speeches and lexical table coding \\
7.4.4.3. Eigenvalues and Cram{\'e}r's V \\
7.4.4.4. Speech trajectory \\
7.4.4.5. Word representation \\
7.4.4.6. Remarks \\
7.4.4.7. Hierarchical structure of the corpus \\
7.4.4.8. Conclusions \\
7.4.5. Implementation with Xplortext \\
7.5. Corpus of sensory descriptions \\
7.5.1. Introduction \\
7.5.2. Data \\
7.5.2.1. Eight Catalan wines \\
7.5.2.2. Jury \\
7.5.2.3. Verbal categorization \\
7.5.2.4. Encoding the data \\
7.5.3. Objectives \\
7.5.4. Statistical methodology \\
7.5.4.1. MFACT and constructing the mean configuration
\\
7.5.4.2. Determining consensual words \\
7.5.5. Results \\
7.5.5.1. Data preprocessing \\
7.5.5.2. Some initial results \\
7.5.5.3. Individual configurations \\
7.5.5.4. MFACT: directions of inertia common to the
majority of groups \\
7.5.5.5. MFACT: representing words and documents on the
first plane \\
7.5.5.6. Word contributions \\
7.5.5.7. MFACT: group representation \\
7.5.5.8. Consensual words \\
7.5.6. Conclusion \\
7.5.7. Implementation with Xplortext",
}
@Article{Bion:2018:HRH,
author = "Ricardo Bion and Robert Chang and Jason Goodman",
title = "How {R} Helps {Airbnb} Make the Most of its Data",
journal = j-AMER-STAT,
volume = "72",
number = "1",
pages = "46--52",
year = "2018",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2017.1392362",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Wed Mar 13 12:31:12 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://amstat.tandfonline.com/doi/full/10.1080/00031305.2017.1392362",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "30 Oct 2017",
}
@Article{Bodin:2018:TMF,
author = "Martin Bodin and Tom{\'a}s Diaz and {\'E}ric Tanter",
title = "A trustworthy mechanized formalization of {R}",
journal = j-SIGPLAN,
volume = "53",
number = "8",
pages = "13--24",
month = oct,
year = "2018",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/3393673.3276946",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Wed Apr 8 13:49:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3393673.3276946",
abstract = "The R programming language is very popular for
developing statistical software and data analysis,
thanks to rich libraries, concise and expressive
syntax, and support for interactive programming. Yet,
the semantics of R is fairly complex, contains many
subtle corner cases, and is not formally specified.
This makes it difficult to reason about R programs. In
this work, we develop a big-step operational semantics
for R in the form of an interpreter written in the Coq
proof assistant. We ensure the trustworthiness of the
formalization by introducing a monadic encoding that
allows the Coq interpreter, CoqR, to be in direct
visual correspondence with the reference R interpreter,
GNU R. Additionally, we provide a testing framework
that supports systematic comparison of CoqR and GNU R.
In its current state, CoqR covers the nucleus of the R
language as well as numerous additional features,
making it pass a significant number of realistic test
cases from the GNU R and FastR projects. To exercise
the formal specification, we prove in Coq the
preservation of memory invariants in selected parts of
the interpreter. This work is an important first step
towards a robust environment for formal verification of
R programs.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "https://dl.acm.org/loi/sigplan",
}
@Article{Bonat:2018:MRV,
author = "Wagner Hugo Bonat",
title = "Multiple Response Variables Regression Models in {R}:
The \pkg{mcglm} Package",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i04;
https://www.jstatsoft.org/index.php/jss/article/view/v084i04/v84i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Bougeard:2018:SMA,
author = "St{\'e}phanie Bougeard and St{\'e}phane Dray",
title = "Supervised Multiblock Analysis in {R} with the
\pkg{ade4} Package",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086i01;
https://www.jstatsoft.org/index.php/jss/article/view/v086i01/v86i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Calhoun:2018:CMS,
author = "Peter Calhoun and Xiaogang Su and Martha Nunn and
Juanjuan Fan",
title = "Constructing Multivariate Survival Trees: The
\pkg{MST} Package for {R}",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i12",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i12;
https://www.jstatsoft.org/index.php/jss/article/view/v083i12/v83i12.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Chang:2018:RGC,
author = "Winston Chang",
title = "{R} Graphics Cookbook",
publisher = pub-ORA-MEDIA,
address = pub-ORA-MEDIA:adr,
edition = "Second",
pages = "xiii + 425",
year = "2018",
ISBN = "1-4919-7860-0 (paperback), 1-4919-7855-4 (e-book),
1-4919-7857-0 (e-book), 1-4919-7859-7",
ISBN-13 = "978-1-4919-7860-3 (paperback), 978-1-4919-7855-9
(e-book), 978-1-4919-7857-3 (e-book),
978-1-4919-7859-7",
LCCN = "QA276.45.R3 C46 2018",
bibdate = "Tue Feb 11 06:28:28 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "The updated edition of this practical guide provides
more than 150 recipes to help you generate high-quality
graphs quickly, without having to comb through all the
details of R's graphing systems. Each recipe tackles a
specific problem with a solution you can apply to your
own project, and includes a discussion of how and why
the recipe works. Most of the recipes in this edition
use the updated version of the ggplot2 package, a
powerful and flexible way to make graphs in R. You'll
also find expanded content about the visual design of
graphics. If you have a basic understanding of the R
language, you're ready to get started. With Early
Release ebooks, you get books in their earliest form
--- the author's raw and unedited content as he or she
writes -- so you can take advantage of these
technologies long before the official release of these
titles. You'll also receive updates when significant
changes are made, new chapters are available, and the
final e-book bundle is released.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Statistics; Data
processing; R (Computer program language); Data
processing.",
tableofcontents = "Intro \\
Preface \\
Recipes \\
Software and Platform Notes \\
Conventions Used in This Book \\
O'Reilly Safari \\
How to Contact Us \\
Acknowledgments \\
1. R Basics \\
1.1. Installing a Package \\
1.2. Loading a Package \\
1.3. Upgrading Packages \\
1.4. Loading a Delimited Text Data File \\
1.5. Loading Data from an Excel File \\
1.6. Loading Data from SPSS/SAS/Stata Files \\
1.7. Chaining Functions Together with \%>\%, the Pipe
Operator \\
2. Quickly Exploring Data \\
2.1. Creating a Scatter Plot \\
2.2. Creating a Line Graph \\
2.3. Creating a Bar Graph \\
2.4. Creating a Histogram \\
2.5. Creating a Box Plot \\
2.6. Plotting a Function Curve \\
3. Bar Graphs \\
3.1. Making a Basic Bar Graph \\
3.2. Grouping Bars Together \\
3.3. Making a Bar Graph of Counts \\
3.4. Using Colors in a Bar Graph \\
3.5. Coloring Negative and Positive Bars Differently
\\
3.6. Adjusting Bar Width and Spacing \\
3.7. Making a Stacked Bar Graph \\
3.8. Making a Proportional Stacked Bar Graph \\
3.9. Adding Labels to a Bar Graph \\
3.10. Making a Cleveland Dot Plot \\
4. Line Graphs \\
4.1. Making a Basic Line Graph \\
4.2. Adding Points to a Line Graph \\
4.3. Making a Line Graph with Multiple Lines \\
4.4. Changing the Appearance of Lines \\
4.5. Changing the Appearance of Points \\
4.6. Making a Graph with a Shaded Area \\
4.7. Making a Stacked Area Graph \\
4.8. Making a Proportional Stacked Area Graph \\
4.9. Adding a Confidence Region \\
5. Scatter Plots \\
5.1. Making a Basic Scatter Plot \\
5.2. Grouping Points Together Using Shapes or Colors
\\
5.3. Using Different Point Shapes \\
5.4. Mapping a Continuous Variable to Color or Size \\
5.5. Dealing with Overplotting \\
5.6. Adding Fitted Regression Model Lines \\
5.7. Adding Fitted Lines from an Existing Model \\
5.8. Adding Fitted Lines from Multiple Existing Models
\\
5.9. Adding Annotations with Model Coefficients \\
5.10. Adding Marginal Rugs to a Scatter Plot \\
5.11. Labeling Points in a Scatter Plot \\
5.12. Creating a Balloon Plot \\
5.13. Making a Scatter Plot Matrix \\
6. Summarized Data Distributions \\
6.1. Making a Basic Histogram \\
6.2. Making Multiple Histograms from Grouped Data \\
6.3. Making a Density Curve \\
6.4. Making Multiple Density Curves from Grouped Data
\\
6.5. Making a Frequency Polygon \\
6.6. Making a Basic Box Plot \\
6.7. Adding Notches to a Box Plot \\
6.8. Adding Means to a Box Plot \\
6.9. Making a Violin Plot \\
6.10. Making a Dot Plot \\
6.11. Making Multiple Dot Plots for Grouped Data \\
6.12. Making a Density Plot of Two-Dimensional Data \\
7. Annotations \\
7.1. Adding Text Annotations \\
7.2. Using Mathematical Expressions in Annotations \\
7.3. Adding Lines \\
7.4. Adding Line Segments and Arrows \\
7.5. Adding a Shaded Rectangle \\
7.6. Highlighting an Item \\
7.7. Adding Error Bars \\
7.8. Adding Annotations to Individual Facets \\
8. Axes \\
8.1. Swapping X- and Y-Axes \\
8.2. Setting the Range of a Continuous Axis \\
8.3. Reversing a Continuous Axis \\
8.4. Changing the Order of Items on a Categorical
Axis",
}
@Article{Chavent:2018:CRP,
author = "Marie Chavent and Vanessa Kuentz-Simonet and Amaury
Labenne and J{\'e}r{\^o}me Saracco",
title = "\pkg{ClustGeo}: an {R} package for hierarchical
clustering with spatial constraints",
journal = j-COMP-STAT,
volume = "33",
number = "4",
pages = "1799--1822",
month = dec,
year = "2018",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-018-0791-1",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-018-0791-1",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Book{Chollet:2018:DLR,
author = "Fran{\c{c}}ois Chollet and Joseph J. Allaire",
title = "Deep learning with {R}",
publisher = pub-MANNING,
address = pub-MANNING:adr,
pages = "xxi + 335",
year = "2018",
ISBN = "1-61729-554-X (paperback)",
ISBN-13 = "978-1-61729-554-6 (paperback)",
LCCN = "QA276.45.R3 C46 2018",
bibdate = "Sat Jun 27 09:36:20 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "\booktitle{Deep Learning with R} introduces the world
of deep learning using the powerful Keras library and
its R language interface. Initially written for Python
as \booktitle{Deep Learning with Python} by Keras
creator and Google AI researcher Fran{\c{c}}ois Chollet
and adapted for R by RStudio founder J.J. Allaire, this
book builds your understanding of deep learning through
intuitive explanations and practical examples. You'll
practice your new skills with R-based applications in
computer vision, natural-language processing, and
generative models.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Artificial
intelligence; Neural networks (Computer science);
Machine learning; Technological innovations;
Mathematical statistics; Data processing; Computer
vision",
tableofcontents = "Part 1: Fundamentals Of Deep Learning \\
What is deep learning? \\
Before we begin: the mathematical building blocks of
neural networks \\
Getting started with neural networks \\
Fundamentals of machine learning \\
Part 2: Deep Learning In Practice \\
Deep learning for computer vision \\
Deep learning for text and sequences \\
Advanced deep-learning best practices \\
Generative deep learning \\
Appendix A: Installing Keras and its dependencies on
Ubuntu \\
Appendix B: Running RStudio Server on an EC2 GPU
instance",
}
@Article{Coene:2018:PSR,
author = "Jean-Philippe Coene",
title = "\pkg{sigmajs}: An {R} \pkg{htmlwidget} interface to
the \pkg{sigma.js} visualization library",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "28",
pages = "814:1--814:2",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00814",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00814",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "10 August 2018",
ORCID-numbers = "Jean-Philippe Coene / 0000-0002-6637-4107",
}
@Article{Coyle:2018:POG,
author = "Jeremy R. Coyle and Nima S. Hejazi",
title = "\pkg{origami}: A Generalized Framework for
Cross-Validation in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "21",
pages = "512:1--512:3",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00512",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00512",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "30 January 2018",
ORCID-numbers = "Jeremy R. Coyle / 0000-0002-9874-6649; Nima S. Hejazi
/ 0000-0002-7127-2789",
}
@Article{Curran:2018:BRF,
author = "J. M. Curran",
title = "Book Review: {{\booktitle{Foundations of Statistical
Algorithms With References to R Packages}}, By C.
Weihs, O. Mersmann and U. Ligges. Boca Raton, Florida:
CRC Press. 2015. 500 pages. UK\pounds 44.99 (hardback).
ISBN 978-1-4398-7885-9}",
journal = j-ANZJS,
volume = "60",
number = "2",
pages = "276--277",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12233",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Wed Mar 27 10:42:23 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
onlinedate = "01 June 2018",
}
@Book{Dan:2018:LJE,
author = "Toomey Dan",
title = "Learning {Jupyter 5}: explore interactive computing
using {Python}, {Java}, {JavaScript}, {R}, {Julia}, and
{JupyterLab}",
publisher = pub-PACKT,
address = pub-PACKT:adr,
pages = "282",
year = "2018",
ISBN = "1-78913-740-3, 1-78913-744-6",
ISBN-13 = "978-1-78913-740-8, 978-1-78913-744-6",
LCCN = "Q183.9; QA76.9.I52 .T666 2018",
bibdate = "Fri Apr 9 05:38:17 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/java2010.bib;
https://www.math.utah.edu/pub/tex/bib/julia.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
tableofcontents = "Preface \\
1: Introduction to Jupyter \\
First look at Jupyter \\
Installing Jupyter \\
Notebook structure \\
Notebook workflow \\
Basic Notebook operations \\
File operations \\
Duplicate \\
Rename \\
Delete \\
Upload \\
New text file \\
New folder \\
New Python 3 \\
Security in Jupyter \\
Security digest \\
Trust options \\
Configuration options for Jupyter \\
Summary \\
2: Jupyter Python Scripting \\
Basic Python in Jupyter \\
Python data access in Jupyter \\
Python pandas in Jupyter \\
Python graphics in Jupyter \\
Python random numbers in Jupyter \\
Summary \\
3: Jupyter R Scripting \\
Adding R scripting to your installation \\
Adding R scripts to Jupyter on macOS \\
Adding R scripts to Jupyter on Windows \\
Adding R packages to Jupyter \\
R limitations in Jupyter \\
Basic R in Jupyter \\
R dataset access \\
R visualizations in Jupyter \\
R 3D graphics in Jupyter \\
R 3D scatterplot in Jupyter \\
R cluster analysis \\
R forecasting \\
R machine learning \\
Dataset \\
Summary \\
4: Jupyter Julia Scripting \\
Adding Julia scripting to your installation \\
Adding Julia scripts to Jupyter \\
Adding Julia packages to Jupyter \\
Basic Julia in Jupyter \\
Julia limitations in Jupyter \\
Standard Julia capabilities \\
Julia visualizations in Jupyter \\
Julia Gadfly scatterplot \\
Julia Gadfly histogram \\
Julia Winston plotting \\
Julia Vega plotting \\
Julia PyPlot plotting \\
Julia parallel processing \\
Julia control flow \\
Julia regular expressions \\
Julia unit testing \\
Summary \\
5: Jupyter Java Coding \\
Adding the Java kernel to your installation \\
Installing Java 9 or later \\
A Jupyter environment is required \\
Configuring IJava \\
Downloading the IJava project from GitHub \\
Building and installing the kernel \\
Available options \\
Jupyter Java console \\
Jupyter Java output \\
Java Optional \\
Java compiler errors \\
Java lambdas \\
Java Collections \\
Java streams \\
Java summary statistics \\
Summary \\
6: Jupyter JavaScript Coding \\
Adding JavaScript scripting to your installation \\
Adding JavaScript scripts to Jupyter on macOS or
Windows \\
JavaScript Hello World Jupyter Notebook \\
Adding JavaScript packages to Jupyter \\
Basic JavaScript in Jupyter \\
JavaScript limitations in Jupyter \\
Node.js d3 package \\
Node.js stats-analysis package \\
Node.js JSON handling \\
Node.js canvas package \\
Node.js plotly package \\
Node.js asynchronous threadsNode.js decision-tree
package \\
Summary \\
7: Jupyter Scala \\
Installing the Scala kernel \\
Scala data access in Jupyter \\
Scala array operations \\
Scala random numbers in Jupyter \\
Scala closures \\
Scala higher-order functions \\
Scala pattern matching \\
Scala case classes \\
Scala immutability \\
Scala collections \\
Named arguments \\
Scala traits \\
Summary \\
8: Jupyter and Big Data \\
Apache Spark \\
Installing Spark on macOS \\
Windows install \\
First Spark script \\
Spark word count \\
Sorted word count \\
Estimate pi \\
Log file examination \\
Spark primes \\
Spark text file analysis",
}
@Article{Demirtas:2018:BRH,
author = "Hakan Demirtas",
title = "Book Review: {{\booktitle{Handbook of Fitting
Statistical Distributions with R}}}",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086b02;
https://www.jstatsoft.org/index.php/jss/article/view/v086b02/v86b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{DEnza:2018:CSI,
author = "Alfonso Iodice D'Enza and Angelos Markos and Davide
Buttarazzi",
title = "Code Snippet: The \pkg{idm} Package: Incremental
Decomposition Methods in {R}",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.c04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086c04;
https://www.jstatsoft.org/index.php/jss/article/view/v086c04/v86c04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Desjardins:2018:HEM,
author = "Christopher D. Desjardins and Okan Bulut",
title = "Handbook of Educational Measurement and Psychometrics
Using {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxiii + 302",
year = "2018",
ISBN = "1-315-15426-9 (e-book), 1-351-64077-1 (e-book),
1-351-65030-0 (e-book), 1-4987-7013-4 (hardcover),
1-4987-7014-2",
ISBN-13 = "978-1-315-15426-8 (e-book), 978-1-351-64077-0
(e-book), 978-1-351-65030-4 (e-book), 978-1-4987-7013-2
(hardcover), 978-1-4987-7014-9",
LCCN = "LB3051 .D4465 2018",
bibdate = "Wed Mar 4 08:22:08 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC = The R series",
abstract = "This book provides a broad overview of methods in
educational and psychological measurement focusing on
applications using R. It includes the key introductory
topics and extends to recent research developments,
such as multidimensional item response theory models.
The focus is on the practical implementation of the
methods, with lots of real data examples and R code
integrated throughout. The book will be supplemented by
an R package with all code and data available for
replication. The book could be used as a supplementary
text for the computing component of a course on
measurement in either department.",
acknowledgement = ack-nhfb,
subject = "Izobra{\v{z}}evalni testi in merjenja; Educational
tests and measurements; Psihometrija; Psychometrics;
Metodologija; Methodology; R (programski jezik); R
(Computer program language); Priro{\v{c}}niki;
Handbooks, manuals, etc; Psychometrics; Methodology;
Programm; Psychometrie; Psychometrischer
Intelligenztest; Experimentelle Psychologie",
tableofcontents = "1. Introduction to the R Programming Language \\
1.1. Chapter Overview \\
1.2. What Is R? \\
1.2.1. Our Approach to R \\
1.3. Obtaining and Installing R \\
1.3.1. Windows \\
1.3.2. Mac 1 \\
1.3.3. Linux \\
1.4. Obtaining and Installing RStudio \\
1.5. Using R \\
1.5.1. Basic R Usage \\
1.5.2. R Packages \\
1.5.2.1. Masked Functions \\
1.5.3. Assessing and Reading in Data \\
1.5.4. Data Manipulation \\
1.5.5. Descriptive and Inferential Statistics \\
1.5.6. Plotting in R \\
1.5.6.1. Base R Graphics \\
1.5.6.2. Lattice Graphics \\
1.6. Installing Packages Used in This Handbook \\
1.7. Chapter Summary \\
2. Classical Test Theory \\
2.1. Chapter Overview \\
2.2. What Is Measurement? \\
2.3. Issues in Measurement \\
2.3.1. Type of Scales \\
2.4. The Classical Test Theory Framework \\
2.4.1. Reliability \\
2.4.2. Validity \\
2.4.3. Item Analysis \\
2.5. Summary \\
3. Generalizability Theory \\
3.1. Chapter Overview \\
3.2. Introduction \\
3.3. Examples \\
3.3.1. One-Facet Design 3.3.1.1.G Study \\
3.3.1.2.D Study \\
3.3.2. Two-Facet Crossed Design \\
3.3.2.1.G Study \\
3.3.2.2.D Study \\
3.3.3. Two-Facet Partially Nested Design \\
3.3.3.1.G Study \\
3.3.3.2.D Study \\
3.3.4. Two-Facet Crossed Design with a Fixed Facet \\
3.3.4.1.G Study \\
3.3.4.2.D Study \\
3.4. Summary \\
4. Factor Analytic Approach in Measurement \\
4.1. Chapter Overview \\
4.2. Introduction \\
4.3. Exploratory Factor Analysis (EFA) \\
4.3.1. EFA of a Cognitive Inventory \\
4.3.2. EFA Using the psych Package \\
4.3.3. EFA with Categorical Data \\
4.4. Confirmatory Factor Analysis (CFA) \\
4.4.1. CFA of the WISC-R Data \\
4.4.2. CFA with Categorical Data \\
4.4.2.1. Ordinal CFA \\
Method 1 \\
4.4.2.2. Ordinal CFA \\
Method 2 \\
4.5. Summary \\
5. Item Response Theory for Dichotomous Items \\
5.1. Chapter Overview \\
5.2. Introduction \\
5.2.1. Comparison to Classical Test Theory \\
5.2.2. Basic Concepts in IRT \\
5.2.3. IRT Model Assumptions \\
5.3. The Unidimensional IRT Models for Dichotomous
Items \\
5.3.1. One-Parameter Logistic Model and Rasch Model \\
5.3.1.1. One-Parameter Logistic Model \\
5.3.1.2. Rasch Model \\
5.3.2. Two-Parameter Logistic Model \\
5.3.3. Three-Parameter Logistic Model \\
5.3.4. Four-Parameter Logistic Model \\
5.4. Ability Estimation in IRT Models \\
5.5. Model Diagnostics \\
5.5.1. Item Fit \\
5.5.2. Person Fit \\
5.5.3. Model Selection \\
5.6. Summary \\
6. Item Response Theory for Polytomous Items \\
6.1. Chapter Overview \\
6.2. Polytomous Rasch Models for Ordinal Items \\
6.2.1. Partial Credit Model \\
6.2.2. Rating Scale Model \\
6.3. Polytomous Non-Rasch Models for Ordinal Items \\
6.3.1. Generalized Partial Credit Model \\
6.3.2. Graded Response Model \\
6.4. Polytomous IRT Models for Nominal Items \\
6.4.1. Nominal Response Model \\
6.4.2. Nested Logit Model \\
6.5. Model Selection \\
6.6. Summary \\
7. Multidimensional Item Response Theory \\
7.1. Chapter Overview \\
7.2. Multidimensional Item Response Modeling \\
7.2.1. Compensatory and Noncompensatory MIRT \\
7.2.2. Between-Item and Within-Item Multidimensionality
\\
7.2.3. Exploratory and Confirmatory MIRT Analysis \\
7.3. Common MIRT Models \\
7.3.1. Multidimensional 2PL Model \\
7.3.2. Multidimensional Rasch Model \\
7.3.3. Multidimensional Graded Response Model \\
7.3.4. Bi-Factor IRT Model \\
7.4. Summary \\
8. Explanatory Item Response Theory \\
8.1. Chapter Overview \\
8.2. Explanatory Item Response Modeling \\
8.2.1. Data Structure \\
8.2.2. Rasch Model as a GLMM \\
8.2.3. Linear Logistic Test Model \\
8.2.4. Latent Regression Rasch Model \\
8.2.5. Interaction Models \\
8.3. Summary \\
9. Visualizing Data and Measurement Models \\
9.1. Chapter Overview \\
9.2. Introduction \\
9.3. Diagnostic Plots \\
9.4. Path Diagrams \\
9.5. Interactive Plots with shiny \\
9.5.1. Example 1: Diagnostic Plot for Factor Analysis
\\
9.5.2. Example 2: The 3PL IRT Model \\
9.6. Summary \\
10. Equating \\
10.1. Overview \\
10.2. Introduction \\
10.2.1. Equating Designs \\
10.2.2. Equating Functions and Methods \\
10.2.3. Evaluating the Results \\
10.2.4. Further Reading \\
10.3. Examples \\
10.3.1. Equivalent Groups \\
10.3.1.1. Identity, Mean, and Linear Functions \\
10.3.1.2. Nonlinear Functions \\
10.3.2. Nonequivalent Groups \\
10.3.2.1. Linear Tucker Equating \\
10.4. Summary \\
11. Measurement Invariance and Differential Item
Functioning \\
11.1. Chapter Overview \\
11.2. Measurement Invariance \\
11.2.1. Assessing Measurement Invariance \\
11.2.1.1. Configural Invariance \\
11.2.1.2. Weak Invariance \\
11.2.1.3. Strong Invariance \\
11.2.1.4. Strict Invariance \\
11.2.1.5. Assessing Partial Invariance \\
11.3. Differential Item Functioning \\
11.3.1. The Mantel--Haenszel (MH) Method \\
11.3.2. Logistic Regression \\
11.3.3. Item Response Theory Likelihood Ratio Test \\
11.4. Summary \\
12. More Advanced Topics in Measurement \\
12.1. Chapter Overview \\
12.2. CRAN Task Views \\
12.3. Computerized Adaptive Testing \\
12.4. Cognitive Diagnostic Modeling \\
12.5. IRT Linking Procedures \\
12.6. Bayesian Models of Measurement \\
12.7. Hierarchical Linear Models \\
12.8. Profile Analysis \\
12.9. Summary",
}
@Article{Dialsingh:2018:BRH,
author = "Isaac Dialsingh",
title = "Book Review: {{\booktitle{Hurricane Climatology: a
Modern Statistical Guide using R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "181",
number = "4",
pages = "1260--1261",
month = oct,
year = "2018",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12397",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Mar 12 17:04:46 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "21 September 2018",
}
@Article{Dirmeier:2018:PDR,
author = "Simon Dirmeier",
title = "\pkg{datastructures}: An {R} package for organisation
and storage of data",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "28",
pages = "910:1--910:2",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00910",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00910",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "27 August 2018",
ORCID-numbers = "Simon Dirmeier / 0000-0001-9795-3550",
}
@Article{Dombrowsky:2018:SAA,
author = "Maximilian J. Dombrowsky and Sven Jager and Benjamin
Schiller and Benjamin E. Mayer and Sebastian Stammler
and Kay Hamacher",
title = "{StreaMD}: Advanced analysis of molecular dynamics
using {R}",
journal = j-J-COMPUT-CHEM,
volume = "39",
number = "21",
pages = "1666--1674",
day = "5",
month = aug,
year = "2018",
CODEN = "JCCHDD",
DOI = "https://doi.org/10.1002/jcc.25197",
ISSN = "0192-8651 (print), 1096-987X (electronic)",
ISSN-L = "0192-8651",
bibdate = "Mon Mar 25 09:39:42 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputchem2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational Chemistry",
journal-URL = "http://www.interscience.wiley.com/jpages/0192-8651",
onlinedate = "17 April 2018",
}
@Article{Donoghoe:2018:LRP,
author = "Mark W. Donoghoe and Ian C. Marschner",
title = "\pkg{logbin}: An {R} Package for Relative Risk
Regression Using the Log-Binomial Model",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086i09;
https://www.jstatsoft.org/index.php/jss/article/view/v086i09/v86i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Draminski:2018:RRP,
author = "Michal Drami{\'n}ski and Jacek Koronacki",
title = "\pkg{rmcfs}: An {R} Package for {Monte Carlo} Feature
Selection and Interdependency Discovery",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i12",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i12;
https://www.jstatsoft.org/index.php/jss/article/view/v085i12/v85i12.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Drost:2018:PPI,
author = "Hajk-Georg Drost",
title = "\pkg{Philentropy}: Information Theory and Distance
Quantification with {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "26",
pages = "765:1--765:4",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00765",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00765",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "11 June 2018",
ORCID-numbers = "Hajk-Georg Drost / 0000-0002-1567-306X",
}
@Article{Dunkler:2018:WCR,
author = "Daniela Dunkler and Meinhard Ploner and Michael
Schemper and Georg Heinze",
title = "Weighted {Cox} Regression Using the {R} Package
\pkg{coxphw}",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i02;
https://www.jstatsoft.org/index.php/jss/article/view/v084i02/v84i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Eddelbuettel:2018:BRN,
author = "Dirk Eddelbuettel",
title = "Book Review: {Norman Matloff. \booktitle{Parallel
Computing for Data Science: With Examples in R, C++,
and CUDA}. Boca Raton: CRC Press}",
journal = j-BIOMETRICS,
volume = "74",
number = "2",
pages = "770--770",
month = jun,
year = "2018",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12896",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:44 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/pvm.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "26 June 2018",
}
@Article{Eddelbuettel:2018:ERC,
author = "Dirk Eddelbuettel and James Joseph Balamuta",
title = "Extending {R} with {C++}: A Brief Introduction to
{Rcpp}",
journal = j-AMER-STAT,
volume = "72",
number = "1",
pages = "28--36",
year = "2018",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2017.1375990",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Wed Mar 13 12:31:12 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://amstat.tandfonline.com/doi/full/10.1080/00031305.2017.1375990",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "29 Sep 2017",
}
@Article{Fenn:2018:QBH,
author = "Roger Fenn and Ansgar Wenzel",
title = "Quandle and Biquandle Homology Calculation in {R}",
journal = j-J-OPEN-RES-SOFT,
volume = "6",
number = "1",
pages = "3--??",
day = "16",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.5334/jors.53",
ISSN = "2049-9647",
ISSN-L = "2049-9647",
bibdate = "Sat Sep 8 10:03:51 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jors.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://openresearchsoftware.metajnl.com/articles/10.5334/jors.53/",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Research Software",
journal-URL = "https://openresearchsoftware.metajnl.com/issue/archive/",
}
@Article{Foss:2018:KCM,
author = "Alexander H. Foss and Marianthi Markatou",
title = "\pkg{kamila}: Clustering Mixed-Type Data in {R} and
{Hadoop}",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i13",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i13;
https://www.jstatsoft.org/index.php/jss/article/view/v083i13/v83i13.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Freire:2018:PPR,
author = "Danilo Freire and Robert Myles McDonnell",
title = "\pkg{prisonbrief}: An {R} package that returns tidy
data from the {World Prison Brief} website",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "22",
pages = "361:1--361:1",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00361",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00361",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "05 February 2018",
ORCID-numbers = "Danilo Freire / 0000-0002-4712-6810",
}
@Article{Gagunashvili:2018:CCG,
author = "Nikolay D. Gagunashvili and Helgi Halldorsson",
title = "{CHIWEI}: A code of goodness of fit tests for weighted
and unweighted histograms in {Fortran-77}, {C++}, {R}
and {Python}",
journal = j-COMP-PHYS-COMM,
volume = "231",
number = "??",
pages = "245--245",
month = oct,
year = "2018",
CODEN = "CPHCBZ",
DOI = "https://doi.org/10.1016/j.cpc.2018.04.028",
ISSN = "0010-4655 (print), 1879-2944 (electronic)",
ISSN-L = "0010-4655",
bibdate = "Thu Jun 14 14:22:45 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compphyscomm2010.bib;
https://www.math.utah.edu/pub/tex/bib/fortran3.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0010465518301449",
acknowledgement = ack-nhfb,
fjournal = "Computer Physics Communications",
journal-URL = "http://www.sciencedirect.com/science/journal/00104655",
}
@Article{Gasparini:2018:PCR,
author = "Alessandro Gasparini",
title = "\pkg{comorbidity}: An {R} package for computing
comorbidity scores",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "23",
pages = "648:1--648:3",
month = mar,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00648",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00648",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "29 March 2018",
ORCID-numbers = "Alessandro Gasparini / 0000-0002-8319-7624",
}
@Article{Gerber:2018:DRP,
author = "F. Gerber and K. M{\"o}singer and R. Furrer",
title = "\pkg{dotCall64}: an {R} package providing an efficient
interface to compiled {C}, {C++}, and {Fortran} code
supporting long vectors",
journal = j-SOFTWAREX,
volume = "7",
number = "??",
pages = "211--216",
month = jan # "\slash " # jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2018.06.002",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Sep 8 11:45:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fortran3.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711018300785",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Gomez-Rubio:2018:BRG,
author = "Virgilio Gomez-Rubio",
title = "Book Review: {{\booktitle{Generalized Additive Models:
An Introduction with R (2nd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086b01;
https://www.jstatsoft.org/index.php/jss/article/view/v086b01/v86b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Gonzalez-Estrada:2018:RPT,
author = "E. Gonz{\'a}lez-Estrada and J. A. Villase{\~n}or",
title = "An {R} package for testing goodness of fit:
\pkg{goft}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "88",
number = "4",
pages = "726--751",
year = "2018",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2017.1404604",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Thu Jan 4 06:48:15 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "23 Nov 2017",
}
@Article{Groendyke:2018:ERP,
author = "Chris Groendyke and David Welch",
title = "\pkg{epinet}: An {R} Package to Analyze Epidemics
Spread across Contact Networks",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i11;
https://www.jstatsoft.org/index.php/jss/article/view/v083i11/v83i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Gromping:2018:BRD,
author = "Ulrike Gr{\"o}mping",
title = "Book Review: {{\booktitle{A Data Scientist's Guide to
Acquiring, Cleaning and Managing Data in R}}}",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086b03;
https://www.jstatsoft.org/index.php/jss/article/view/v086b03/v86b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Gromping:2018:RPD,
author = "Ulrike Gr{\"o}mping",
title = "{R} Package \pkg{DoE.base} for Factorial Experiments",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i05;
https://www.jstatsoft.org/index.php/jss/article/view/v085i05/v85i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Grose:2018:BRT,
author = "Daniel Grose",
title = "Book Review: {{\booktitle{Testing R Code}}}",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085b01;
https://www.jstatsoft.org/index.php/jss/article/view/v085b01/v85b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Han:2018:GRP,
author = "Zifei Han and Victor {De Oliveira}",
title = "\pkg{gcKrig}: An {R} Package for the Analysis of
Geostatistical Count Data Using {Gaussian} Copulas",
journal = j-J-STAT-SOFT,
volume = "87",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v87.i13",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:26 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v087i13;
https://www.jstatsoft.org/index.php/jss/article/view/v087i13/v87i13.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Harding:2018:PPN,
author = "Joel M. S. Harding and Douglas C. Braun and Nicholas
J. Burnett and Annika Putt",
title = "\pkg{PITR}: a New Open Source {R} Package for {PIT}
Telemetry Data",
journal = j-FISHERIES,
volume = "43",
number = "1",
pages = "5--5",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1002/fsh.10027",
ISSN = "0363-2415 (print), 1548-8446 (electronic)",
ISSN-L = "0363-2415",
bibdate = "Fri Mar 4 20:05:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fisheries.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10027",
acknowledgement = ack-nhfb,
ajournal = "Fisheries",
fjournal = "Fisheries",
journal-URL = "https://afspubs.onlinelibrary.wiley.com/loi/15488446",
onlinedate = "22 February 2018",
}
@Article{Hassler:2018:BRW,
author = "Uwe Hassler",
title = "Book Review: {Wayne A. Woodward, Henry L. Gray and
Alan C. Elliott (2017): \booktitle{Applied Time Series
Analysis with R}, Second Edition, Chapman \& Hall\slash
CRC, 618 pp., \$109.95, ISBN 978-1-4987-3422-6}",
journal = j-STAT-PAPERS,
volume = "59",
number = "1",
pages = "417--418",
month = mar,
year = "2018",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-017-0977-6",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Fri Feb 23 10:34:26 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-017-0977-6",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Heck:2018:RRP,
author = "Daniel W. Heck and Morten Moshagen",
title = "\pkg{RRreg}: An {R} Package for Correlation and
Regression Analyses of Randomized Response Data",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i02;
https://www.jstatsoft.org/index.php/jss/article/view/v085i02/v85i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Helmreich:2018:BRR,
author = "James E. Helmreich",
title = "Book Review: {{\booktitle{The R Primer (2nd ed.)}}}",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083b02;
https://www.jstatsoft.org/index.php/jss/article/view/v083b02/v83b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Hiebert:2018:PCC,
author = "James Hiebert and Alex J. Cannon and Trevor Murdock
and Stephen Sobie and Arelia Werner",
title = "\pkg{ClimDown}: Climate Downscaling in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "22",
pages = "360:1--360:1",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00360",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00360",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "28 February 2018",
ORCID-numbers = "James Hiebert / 0000-0002-4171-9586",
}
@Article{Hohensinn:2018:CSP,
author = "Christine Hohensinn",
title = "Code Snippet: \pkg{pcIRT}: An {R} Package for
Polytomous and Continuous {Rasch} Models",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.c02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084c02;
https://www.jstatsoft.org/index.php/jss/article/view/v084c02/v84c02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Holmes:2018:MSM,
author = "Susan Holmes and Wolfgang Huber",
title = "Modern Statistics for Modern Biology",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
year = "2018",
ISBN = "1-108-42702-2, 1-108-70529-4",
ISBN-13 = "978-1-108-42702-9, 978-1-108-70529-5",
LCCN = "????",
bibdate = "Wed Feb 27 10:22:28 MST 2019",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/probstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.cambridge.org/us/academic/subjects/statistics-probability/statistics-life-sciences-medicine-and-health/modern-statistics-modern-biology",
acknowledgement = ack-nhfb,
tableofcontents = "Introduction / xvii \\
1 Generative Models for Discrete Data / 1 \\
2 Statistical Modeling / 19 \\
3 High-Quality Graphics in R / 53 \\
4 Mixture Models / 83 \\
5 Clustering / 107 \\
6 Testing / 139 \\
7 Multivariate Analysis / 161 \\
8 High-Throughput Count Data / 191 \\
9 Multivariate Methods for Heterogeneous Data / 217 \\o
10 Networks and Trees / 249 \\
11 Image Data / 279 \\
12 Supervised Learning / 309 \\
13 Design of High-Throughput Experiments and Their
Analyses / 337 \\
Acknowledgements / 365 \\
Bibliography / 367 \\
Statistical Concordance / 377 \\
Index / 379",
}
@Article{Howard:2018:PAR,
author = "James P. {Howard II}",
title = "Phonetic Algorithms in {R}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "22",
pages = "480:1--480:2",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00480",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00480",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "14 February 2018",
ORCID-numbers = "James P. Howard II / 0000-0003-4530-1547",
}
@Article{Hu:2018:ERP,
author = "Yang Hu and Carl Scarrott",
title = "\pkg{evmix}: An {R} package for Extreme Value Mixture
Modeling, Threshold Estimation and Boundary Corrected
Kernel Density Estimation",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i05;
https://www.jstatsoft.org/index.php/jss/article/view/v084i05/v84i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Husch:2018:BRT,
author = "Marc H{\"u}sch",
title = "Book Review: {Thomas Rahlf: \booktitle{Data
Visualisation with R}}",
journal = j-STAT-PAPERS,
volume = "59",
number = "2",
pages = "847--848",
month = jun,
year = "2018",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-018-1003-3",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Wed May 16 07:48:50 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-018-1003-3",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Hyun:2018:VRP,
author = "Seung Won Hyun and Weng Kee Wong and Yarong Yang",
title = "\pkg{VNM}: An {R} Package for Finding
Multiple-Objective Optimal Designs for the
$4$-Parameter Logistic Model",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i05;
https://www.jstatsoft.org/index.php/jss/article/view/v083i05/v83i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Ibarra-Espinosa:2018:PER,
author = "Sergio Ibarra-Espinosa and Daniel Schuch and Edmilson
Dias de Freitas",
title = "\pkg{eixport}: An {R} package to export emissions to
atmospheric models",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "24",
pages = "607:1--607:4",
month = apr,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00607",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00607",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "25 April 2018",
ORCID-numbers = "Sergio Ibarra-Espinosa / 0000-0002-3162-1905; Daniel
Schuch / 0000-0001-5977-4519; Edmilson Dias de Freitas
/ 0000-0001-8783-2747",
}
@Article{Jenness:2018:ERP,
author = "Samuel M. Jenness and Steven M. Goodreau and Martina
Morris",
title = "\pkg{EpiModel}: An {R} Package for Mathematical
Modeling of Infectious Disease over Networks",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i08;
https://www.jstatsoft.org/index.php/jss/article/view/v084i08/v84i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Keen:2018:TSS,
author = "K. J. Keen",
title = "Graphics for Statistics and Data Analysis with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xx + 590",
year = "2018",
ISBN = "1-4987-7983-2 (hardcover)",
ISBN-13 = "978-1-4987-7983-8 (hardcover)",
LCCN = "QA276.45.R3 K44 2018",
bibdate = "Wed Mar 13 06:27:11 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC texts in statistical science
series",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Graphic methods; Data processing;
Textbooks",
tableofcontents = "Preface to the First Edition \\
Preface to the Second Edition \\
Acknowledgments \\
Part I Introduction \\
1 The Graphical Display of Information \\
1.1 Introduction \\
1.2 Learning Outcomes \\
1.3 Know the Intended Audience \\
1.4 Principles of Effective Statistical Graphs \\
1.4.1 The Layout of a Graphical Display \\
1.4.2 The Design of Graphical Displays \\
1.5 Graphicacy \\
1.6 The Grammar of Graphics \\
1.7 Graphical Statistics \\
1.8 Conclusion \\
1.9 Exercises \\
Part II A Single Discrete Variable \\
2 Basic Charts for the Distribution of a Single
Discrete Variable \\
2.1 Introduction \\
2.2 Learning Outcomes \\
2.3 An Example from the United Nations \\
2.4 The Dot Chart \\
2.5 The Bar Chart \\
2.5.1 Definition \\
2.5.2 Pseudo-Three-Dimensional Bar Chart \\
2.6 The Pie Chart \\
2.6.1 Definition \\
2.6.2 Pseudo-Three-Dimensional Pie Chart \\
2.6.3 Recommendations Concerning the Pie Chart \\
2.7 Conclusion \\
2.8 Exercises \\
3 Advanced Charts for the Distribution of a Single
Discrete Variable \\
3.1 Introduction \\
3.2 Learning Outcomes \\
3.3 The Stacked Bar Chart \\
3.3.1 Definition \\
3.3.2 The Stacked Bar Plot versus the Bar Chart and the
Pie Chart \\
3.4 The Pictograph \\
3.4.1 Definition \\
3.4.2 The Pictograph versus the Dot Chart and the Bar
Chart \\
3.5 Variations on the Dot and Bar Charts \\
3.5.1 The Bar--Whisker Chart \\
3.5.2 Dot--Whisker Chart \\
3.6 Frames, Grid Lines, and Order \\
3.6.1 Frame \\
3.6.2 Grid Lines \\
3.6.3 Order \\
3.7 Conclusion \\
3.8 Exercises \\
Part III A Single Continuous Variable \\
4 Exploratory Plots for the Distribution of a Single
Continuous Variable \\
4.1 Introduction \\
4.2 Learning Outcomes \\
4.3 The Dotplot \\
4.3.1 Definition \\
4.3.2 Variations on the Dotplot \\
4.4 The Stemplot \\
4.4.1 Definition \\
4.5 The Boxplot \\
4.5.1 Definition \\
4.5.2 Variations on the Boxplot \\
4.6 The EDF Plot \\
4.6.1 Definition \\
4.6.2 The EDF Plot as a Diagnostic Tool \\
4.7 Conclusion \\
4.8 Exercises \\
5 Diagnostic Plots for the Distribution of a Continuous
Variable \\
5.1 Introduction \\
5.2 Learning Outcomes \\
5.3 The Quantile--Quantile Plot \\
5.4 The Probability Plot \\
5.5 Estimation of Quartiles and Percentiles* \\
5.5.1 Estimation of Quartiles \\
5.5.2 Estimation of Percentiles \\
5.6 Conclusion \\
5.7 Exercises \\
6 Nonparametric Density Estimation for a Single
Continuous Variable \\
6.1 Introduction \\
6.2 Learning Outcomes \\
6.3 The Histogram \\
6.3.1 Definition \\
6.3.2 A Circular Variation on the Histogram: The Rose
Diagram \\
6.4 Kernel Density Estimation \\
6.5 Spline Density Estimation? \\
6.6 Choosing a Plot for a Continuous Variable \\
6.7 Conclusion \\
6.8 Exercises \\
7 Parametric Density Estimation for a Single Continuous
Variable \\
7.1 Introduction \\
7.2 Learning Outcomes \\
7.3 Normal Density Estimation \\
7.4 Transformations to Normality \\
7.5 Pearson's Curves \\
7.6 Gram--Charlier Series Expansion \\
7.7 Conclusion \\
7.8 Exercises \\
Part IV Two Variables \\
\ldots{}",
}
@Article{Khademi:2018:BRCb,
author = "Abdolvahab Khademi",
title = "Book Review: {{\booktitle{Computational Methods for
Numerical Analysis with R}}}",
journal = j-J-STAT-SOFT,
volume = "87",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v87.b02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:26 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v087b02;
https://www.jstatsoft.org/index.php/jss/article/view/v087b02/v87b02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Kortschak:2018:PAG,
author = "R. Daniel Kortschak",
title = "\pkg{arrgh}: a {Go} interface to the {OpenCPU} {R}
server system",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "21",
pages = "517:1--517:1",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00517",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00517",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "15 January 2018",
ORCID-numbers = "R Daniel Kortschak / 0000-0001-8295-2301",
}
@Article{Landau:2018:PDR,
author = "William Michael Landau",
title = "The \pkg{drake} {R} package: a pipeline toolkit for
reproducibility and high-performance computing",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "21",
pages = "550:1--550:1",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00550",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00550",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "26 January 2018",
ORCID-numbers = "William Michael Landau / 0000-0003-1878-3253",
}
@Article{Laurinec:2018:PTR,
author = "Peter Laurinec",
title = "\pkg{TSrepr} {R} package: Time Series
Representations",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "23",
pages = "577:1--577:2",
month = mar,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00577",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00577",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "12 March 2018",
ORCID-numbers = "Peter Laurinec / 0000-0002-3501-8783",
}
@Article{LeBeau:2018:PHC,
author = "Brandon LeBeau",
title = "\pkg{highlightHTML}: {CSS} Formatting of {R}
{Markdown} Documents",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "21",
pages = "185:1--185:2",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00185",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00185",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "12 January 2018",
ORCID-numbers = "Brandon LeBeau / 0000-0002-1265-8761",
}
@Article{Lee:2018:ERP,
author = "Sharon X. Lee and Geoffrey J. McLachlan",
title = "\pkg{EMMIXcskew}: An {R} Package for the Fitting of a
Mixture of Canonical Fundamental Skew t-Distributions",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i03;
https://www.jstatsoft.org/index.php/jss/article/view/v083i03/v83i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lee:2018:PRP,
author = "Eun-Kyung Lee",
title = "\pkg{PPtreeViz}: An {R} Package for Visualizing
Projection Pursuit Classification Trees",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i08;
https://www.jstatsoft.org/index.php/jss/article/view/v083i08/v83i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lee:2018:STA,
author = "Duncan Lee and Alastair Rushworth and Gary Napier",
title = "Spatio-Temporal Areal Unit Modeling in {R} with
Conditional Autoregressive Priors Using the
\pkg{CARBayesST} Package",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i09;
https://www.jstatsoft.org/index.php/jss/article/view/v084i09/v84i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Li:2018:RRP,
author = "James Li and Jacob Bien and Martin T. Wells",
title = "\pkg{rTensor}: An {R} Package for Multidimensional
Array (Tensor) Unfolding, Multiplication, and
Decomposition",
journal = j-J-STAT-SOFT,
volume = "87",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v87.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:26 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v087i10;
https://www.jstatsoft.org/index.php/jss/article/view/v087i10/v87i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lin:2018:FEA,
author = "Jie Lin and Donald A. Adjeroh and Bing-Hua Jiang and
Yue Jiang",
title = "\pkg{fastWKendall}: an efficient algorithm for
weighted {Kendall} correlation",
journal = j-COMP-STAT,
volume = "33",
number = "4",
pages = "1823--1845",
month = dec,
year = "2018",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-017-0775-6",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-017-0775-6",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Liu:2018:BRM,
author = "Shuangzhe Liu",
title = "Book Review: {{\booktitle{Modern Data Science with
R}}, Benjamin S. Baumer, Daniel T. Kaplan and Nicholas
J. Horton, Chapman and Hall/CRC, 2017, 556 pages,
\$99.95, hardcover ISBN: 978-1-4987-2448-7}",
journal = j-INT-STAT-REV,
volume = "86",
number = "1",
pages = "162--162",
month = apr,
year = "2018",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12256",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Mar 13 08:37:07 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "06 April 2018",
}
@Article{Long:2018:CSS,
author = "Jed Long and Colin Robertson and Trisalyn Nelson",
title = "Code Snippet: \pkg{stampr}: Spatial-Temporal Analysis
of Moving Polygons in {R}",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084c01;
https://www.jstatsoft.org/index.php/jss/article/view/v084c01/v84c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lortie:2018:BRA,
author = "Christopher Lortie",
title = "Book Review: {{\booktitle{Applied Time Series Analysis
with R (2nd Edition)}}}",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.b03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085b03;
https://www.jstatsoft.org/index.php/jss/article/view/v085b03/v85b03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Lu:2018:BRH,
author = "Zudi Lu",
title = "Book Review: {{\booktitle{Hidden Markov Models for
Time Series: An Introduction Using R}}, 2nd Edition, by
Walter Zucchini, Iain L. Macdonald, and Roland
Langrock. Monographs on Statistics and Applied
Probability 150, Published by CRC Press, 2016. Total
number of pages: 28 + 370. ISBN: 978-1-4822-5383-2
(Hardback)}",
journal = j-J-TIME-SER-ANAL,
volume = "39",
number = "1",
pages = "105--106",
month = jan,
year = "2018",
CODEN = "JTSADL",
DOI = "https://doi.org/10.1111/jtsa.12257",
ISSN = "0143-9782 (print), 1467-9892 (electronic)",
ISSN-L = "0143-9782",
bibdate = "Tue Mar 5 16:29:55 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Time Series Analysis",
journal-URL = "https://onlinelibrary.wiley.com/journal/14679892",
onlinedate = "20 September 2017",
}
@Article{Marsh:2018:CSD,
author = "Charles J. Marsh and Louise J. Barwell and Yoni Gavish
and William E. Kunin",
title = "Code Snippet: \pkg{downscale}: An {R} Package for
Downscaling Species Occupancy from Coarse-Grain Data to
Predict Occupancy at Fine-Grain Sizes",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.c03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086c03;
https://www.jstatsoft.org/index.php/jss/article/view/v086c03/v86c03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Marwick:2018:PDA,
author = "Ben Marwick and Carl Boettiger and Lincoln Mullen",
title = "Packaging Data Analytical Work Reproducibly Using {R}
(and Friends)",
journal = j-AMER-STAT,
volume = "72",
number = "1",
pages = "80--88",
year = "2018",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2017.1375986",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Wed Mar 13 12:31:12 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://amstat.tandfonline.com/doi/full/10.1080/00031305.2017.1375986",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "29 Sep 2017",
}
@Article{McNamara:2018:WCD,
author = "Amelia McNamara and Nicholas J. Horton",
title = "Wrangling Categorical Data in {R}",
journal = j-AMER-STAT,
volume = "72",
number = "1",
pages = "97--104",
year = "2018",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2017.1356375",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Wed Mar 13 12:31:12 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://amstat.tandfonline.com/doi/full/10.1080/00031305.2017.1356375",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "27 Jul 2017",
}
@Article{Micheas:2018:PSP,
author = "Athanasios C. Micheas and Jiaxun Chen",
title = "\pkg{sppmix}: {Poisson} point process modeling using
normal mixture models",
journal = j-COMP-STAT,
volume = "33",
number = "4",
pages = "1767--1798",
month = dec,
year = "2018",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-018-0805-z",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-018-0805-z",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Molnar:2018:PIR,
author = "Christoph Molnar and Giuseppe Casalicchio and Bernd
Bischl",
title = "\pkg{iml}: An {R} package for Interpretable Machine
Learning",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "26",
pages = "786:1--786:2",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00786",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00786",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "03 July 2018",
ORCID-numbers = "Christoph Molnar / 0000-0003-2331-868X; Giuseppe
Casalicchio / 0000-0001-5324-5966; Bernd Bischl /
0000-0001-6002-6980",
}
@Article{Mora:2018:BRB,
author = "Pedro M. Valero Mora",
title = "Book Review: {{\booktitle{bookdown: Authoring Books
and Technical Documents with R Markdown}}}",
journal = j-J-STAT-SOFT,
volume = "87",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v87.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:26 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v087b01;
https://www.jstatsoft.org/index.php/jss/article/view/v087b01/v87b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Mount:2018:PVR,
author = "John Mount and Nina Zumel",
title = "The \pkg{vtreat} {R} package: a statistically sound
data processor for predictive modeling",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "23",
pages = "584:1--584:2",
month = mar,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00584",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00584",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "12 March 2018",
ORCID-numbers = "John Mount / 0000-0002-3696-2012; Nina Zumel /
0000-0001-8831-0190",
}
@Book{Murrell:2018:RGT,
author = "Paul Murrell",
title = "{R} Graphics",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
edition = "Third",
pages = "xvii + 423",
year = "2018",
ISBN = "1-4987-8905-6 (hardcover), 0-429-42276-8 (e-book),
0-429-74993-7 (Mobipocket ebook), 0-429-74994-5,
0-429-74995-3 (PDF ebook)",
ISBN-13 = "978-1-4987-8905-9 (hardcover), 978-0-429-42276-8
(e-book), 978-0-429-74993-3 (Mobipocket ebook),
978-0-429-74994-0, 978-0-429-74995-7 (PDF ebook)",
LCCN = "T385 .M9 2019",
bibdate = "Fri Aug 14 15:41:14 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC the R Ser.",
acknowledgement = ack-nhfb,
tableofcontents = "Preface \\
1: An Introduction to R Graphics \\
1.1 R graphics examples \\
1.1.1 Standard plots \\
1.1.2 Trellis plots \\
1.1.3 The grammar of graphics \\
1.1.4 Specialized plots \\
1.1.5 General graphical scenes \\
1.2 The organization of R graphics \\
1.2.1 Base graphics versus grid graphics \\
I: BASE GRAPHICS \\
2: Simple Usage of Base Graphics \\
2.1 The base graphics model \\
2.2 The plot() function \\
2.3 Plots of a single variable \\
2.4 Plots of two variables \\
2.5 Plots of many variables \\
2.6 Arguments to graphics functions \\
2.6.1 Standard arguments to graphics functions \\
2.7 Specialized plots \\
3: Customizing Base Graphics \\
3.1 The base graphics model in more detail \\
3.1.1 Plotting regions \\
3.1.2 The base graphics state \\
3.2 Controlling the appearance of plots \\
3.2.1 Colors \\
3.2.2 Lines \\
3.2.3 Text \\
3.2.4 Data symbols \\
3.2.5 Axes \\
3.2.6 Plotting regions \\
3.2.7 Clipping \\
3.2.8 Moving to a new plot \\
3.3 Arranging multiple plots \\
3.3.1 Using the base graphics state \\
3.3.2 Layouts \\
3.3.3 The split-screen approach \\
3.4 Annotating plots \\
3.4.1 Annotating the plot region \\
3.4.2 Annotating the margins \\
3.4.3 Legends \\
3.4.4 Axes \\
3.4.5 Coordinate systems \\
3.4.6 Special cases \\
3.5 Creating new plots \\
3.5.1 A simple plot from scratch \\
3.5.2 A more complex plot from scratch \\
3.5.3 Writing base graphics functions \\
3.6 Interactive graphics \\
II: GRID GRAPHICS \\
4: Trellis Graphics: The lattice Package \\
4.1 The lattice graphics model \\
4.1.1 Why another graphics system? \\
4.2 lattice plot types \\
4.3 The formula argument and multipanel conditioning
\\
4.4 The group argument and legends \\
4.5 The layout argument and arranging plots \\
4.6 The scales argument and labeling axes \\
4.7 The panel argument and annotating plots \\
4.7.1 Adding output to a lattice plot \\
4.8 par.settings and graphical parameters \\
5: The Grammar of Graphics: The ggplot2 Package \\
5.1 Quick plots \\
5.2 The ggplot2 graphics model \\
5.2.1 Why another graphics system? \\
5.3 Data \\
5.4 Geoms and aesthetics \\
5.5 Scales \\
5.6 Statistical transformations \\
5.7 The group aesthetic \\
5.8 Position adjustments \\
5.9 Coordinate transformations \\
5.10 Facets \\
5.11 Themes \\
5.12 Annotating \\
5.13 Extending ggplot2 \\
6: The grid Graphics Model \\
6.1 A brief overview of grid graphics \\
6.1.1 A simple example \\
6.2 Graphical primitives \\
6.2.1 Graphical utilities \\
6.2.2 Standard arguments \\
6.2.3 Clipping \\
6.3 Coordinate systems \\
6.3.1 Conversion functions \\
6.3.2 Complex units \\
6.4 Controlling the appearance of output \\
6.4.1 Specifying graphical parameter settings \\
6.4.2 Vectorized graphical parameter settings \\
6.5 Viewports \\
6.5.1 Pushing, popping, and navigating between
viewports \\
6.5.2 Clipping to viewports \\
6.5.3 Viewport lists, stacks, and trees \\
6.5.4 Viewports as arguments to graphical primitives
\\
6.5.5 Graphical parameter settings in viewports \\
6.5.6 Layouts \\
6.6 Missing values and non-finite values \\
6.7 Interactive graphics \\
6.8 Customizing lattice plots \\
6.8.1 Adding grid output to lattice output \\
6.8.2 Adding lattice output to grid output \\
6.9 Customizing ggplot2 output \\
6.9.1 Adding grid output to ggplot2 output \\
6.9.2 Adding ggplot2 output to grid output \\
7: The grid Graphics Object Model \\
7.1 Working with graphical output \\
7.2 Listing graphical objects \\
7.3 Selecting graphical objects \\
7.4 Grob lists, trees, and paths \\
7.4.1 Graphical parameter settings in gTrees \\
7.5 Searching for grobs \\
7.6 Editing graphical context \\
7.7 Forcing graphical objects \\
7.8 Working with graphical objects off-screen \\
7.9 Reordering graphical objects \\
7.10 Capturing output \\
7.11 Querying grobs \\
7.11.1 Calculating the sizes of grobs \\
7.11.2 Calculating the positions of grobs \\
7.12 Placing and packing grobs in frames \\
7.12.1 Placing and packing off-screen \\
7.13 Display lists \\
7.14 Working with lattice grobs \\
7.15 Working with ggplot2 grobs \\
8: Developing New Graphical Functions and Objects \\
8.1 An example \\
8.2 Graphical functions \\
8.2.1 Modularity \\
8.2.2 Embeddable output \\
8.2.3 Editable output \\
8.2.4 Annotatable output \\
8.3 Graphical objects \\
8.3.1 Defining a static grob \\
8.3.2 Editable grobs \\
8.3.3 Defining a static grob with drawing context \\
8.3.4 Defining a dynamic grob \\
8.3.5 Forcing grobs \\
8.3.6 Reverting grobs \\
8.3.7 Defining a dynamic grob with drawing context \\
8.3.8 Querying graphical objects \\
8.3.9 Summary of graphical object methods \\
8.3.10 Calculations during drawing \\
8.3.11 Avoiding argument explosion \\
8.4 Mixing graphical functions and graphical objects
\\
8.5 Debugging grid \\
III: THE GRAPHICS ENGINE \\
9: Graphics Formats \\
9.1 Graphics devices \\
9.2 Graphical output formats \\
9.2.1 Vector formats \\
9.2.2 Raster formats \\
9.2.3 R Studio \\
9.3 Including R graphics in other documents \\
9.3.1 LATEX \\
9.3.2 ``Productivity'' software \\
9.3.3 Web pages \\
9.4 Device-specific features \\
9.5 Multiple pages of output \\
9.6 Display lists \\
9.7 Extension packages \\
10: Graphical Parameters \\
10.1 Colors \\
10.1.1 Semitransparent colors \\
10.1.2 Converting colors \\
10.1.3 Color sets \\
10.1.4 Device dependency of color specifications \\
10.2 Line styles \\
10.2.1 Line widths \\
10.2.2 Line types \\
10.2.3 Line ends and joins \\
10.3 Data symbols \\
10.4 Fonts \\
10.4.1 Font family \\
10.4.2 Font face \\
10.4.3 Multi-line text \\
10.4.4 Locales \\
10.4.5 Escape sequences \\
10.4.6 Anti-aliasing \\
10.5 Mathematical formulae \\
IV: INTEGRATING GRAPHICS SYSTEMS \\
11: Importing Graphics \\
11.1 The Moon and the tides \\
11.2 Importing raster graphics \\
11.3 Importing vector graphics \\
11.3.1 The grImport package \\
11.3.2 The grImport2 package \\
12: Combining Graphics Systems \\
12.1 The gridBase package \\
12.1.1 Annotating base graphics using grid \\
12.1.2 Base graphics in grid viewports \\
12.1.3 Problems and limitations of gridBase \\
12.2 The gridGraphics package \\
12.2.1 Editing base graphics using grid \\
12.2.2 Base graphics in grid viewports \\
12.2.3 Problems and limitations of gridGraphics \\
13: Advanced Graphics \\
13.1 Exporting SVG \\
13.2 SVG advanced features \\
13.2.1 Gradient fills \\
13.2.2 Pattern fills \\
13.2.3 Filters \\
13.2.4 Clipping paths \\
13.2.5 Masks \\
13.3 SVG drawing context \\
13.4 SVG definitions \\
13.5 Drawing off screen \\
13.6 SVG fonts \\
13.7 Exporting base graphics \\
13.8 Exporting to other formats \\
13.9 Exporting imported images \\
Bibliography \\
Index",
}
@Article{Nagler:2018:KRP,
author = "Thomas Nagler",
title = "\pkg{kdecopula}: An {R} Package for the Kernel
Estimation of Bivariate Copula Densities",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i07;
https://www.jstatsoft.org/index.php/jss/article/view/v084i07/v84i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Nolan:2018:PIR,
author = "Rory Nolan and Sergi Padilla-Parra",
title = "\pkg{ijtiff}: An {R} package providing {TIFF I/O} for
{ImageJ} users",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "23",
pages = "633:1--633:2",
month = mar,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00633",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00633",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "16 March 2018",
ORCID-numbers = "Rory Nolan / 0000-0002-5239-4043; Sergi Padilla-Parra
/ 0000-0002-8010-9481",
}
@Article{Oliveira:2018:UDP,
author = "Am{\'\i}lcar Oliveira and Teresa Oliveira and Antonio
Seijas-Mac{\'\i}as",
title = "The uniform distribution product: an approach to the
{$ (Q, r) $} inventory model using {R}",
journal = j-J-APPL-STAT,
volume = "45",
number = "2",
pages = "284--297",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1080/02664763.2016.1275531",
ISSN = "0266-4763 (print), 1360-0532 (electronic)",
ISSN-L = "0266-4763",
bibdate = "Thu Nov 30 08:27:19 MST 2017",
bibsource = "http://www.tandf.co.uk/journals/routledge/02664763.html;
https://www.math.utah.edu/pub/tex/bib/japplstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Applied Statistics",
journal-URL = "http://www.tandfonline.com/loi/cjas20",
onlinedate = "05 Jan 2017",
}
@Article{Panse:2018:CSR,
author = "Christian Panse",
title = "Code Snippet: Rectangular Statistical Cartograms in
{R}: The \pkg{recmap} Package",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086c01;
https://www.jstatsoft.org/index.php/jss/article/view/v086c01/v86c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Perme:2018:NRS,
author = "Maja Pohar Perme and Klemen Pavlic",
title = "Nonparametric Relative Survival Analysis with the {R}
Package \pkg{relsurv}",
journal = j-J-STAT-SOFT,
volume = "87",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v87.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:26 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v087i08;
https://www.jstatsoft.org/index.php/jss/article/view/v087i08/v87i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Pham:2018:GAM,
author = "Tung H. Pham and Matt P. Wand",
title = "Generalised additive mixed models analysis via
\pkg{gammSlice}",
journal = j-ANZJS,
volume = "60",
number = "3",
pages = "279--300",
month = sep,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12241",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Wed Mar 27 10:42:23 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
onlinedate = "03 August 2018",
}
@Article{Podgorski:2018:BRF,
author = "Krzysztof Podgorski",
title = "Book Review: {{\booktitle{Financial Analytics with
R}}, Mark J. Bennet and Dirk L. Hugen, Cambridge
University Press, 2016, 377 pages, EUR55.99, hardcover
ISBN: 978-1-107-15075-1}",
journal = j-INT-STAT-REV,
volume = "86",
number = "1",
pages = "163--165",
month = apr,
year = "2018",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12258",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Wed Mar 13 08:37:07 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "06 April 2018",
}
@Article{Punzo:2018:CRP,
author = "Antonio Punzo and Angelo Mazza and Paul D.
McNicholas",
title = "\pkg{ContaminatedMixt}: An {R} Package for Fitting
Parsimonious Mixtures of Multivariate Contaminated
Normal Distributions",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i10;
https://www.jstatsoft.org/index.php/jss/article/view/v085i10/v85i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Reese:2018:BRG,
author = "R. Allan Reese",
title = "Book Review: {{\booktitle{Graphics for Statistics and
Data Analysis with R}}, 2nd edn}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "181",
number = "4",
pages = "1261--1262",
month = oct,
year = "2018",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12399",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Mar 12 17:04:46 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "21 September 2018",
}
@Article{Rigdon:2018:CSN,
author = "Joseph Rigdon and Michael Baiocchi and Sanjay Basu",
title = "Code Snippet: Near-Far Matching in {R}: The
\pkg{nearfar} Package",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.c05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086c05;
https://www.jstatsoft.org/index.php/jss/article/view/v086c05/v86c05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Robert:2018:TRC,
author = "Christian Robert",
title = "Testing {R} Code",
journal = j-CHANCE,
volume = "31",
number = "1",
pages = "60--60",
year = "2018",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2018.1438712",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Sun Feb 18 06:32:40 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance: a magazine for people interested in the
analysis of data",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
onlinedate = "15 Feb 2018",
}
@Article{Saldana:2018:SRP,
author = "Diego Franco Saldana and Yang Feng",
title = "\pkg{SIS}: An {R} Package for Sure Independence
Screening in Ultrahigh-Dimensional Statistical Models",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i02",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i02;
https://www.jstatsoft.org/index.php/jss/article/view/v083i02/v83i02.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Salehi:2018:NISa,
author = "Younes Salehi and William E. Schiesser",
title = "Numerical integration of space fractional partial
differential equations. {Volume 1}, {Introduction} to
algorithms and computer coding in {R}",
volume = "19",
publisher = "Morgan and Claypool Publishers",
address = "San Rafael, CA, USA",
pages = "xii + 189",
year = "2018",
DOI = "https://doi.org/10.2200/S00806ED1V01Y201709MAS019",
ISBN = "1-68173-207-6 (paperback), 1-68173-208-4 (e-book)",
ISBN-13 = "978-1-68173-207-7 (paperback), 978-1-68173-208-4
(e-book)",
ISSN = "1938-1743 (print), 1938-1751 (electronic)",
ISSN-L = "1938-1743",
LCCN = "QA372 .S266 2018",
bibdate = "Tue Mar 13 17:09:10 MDT 2018",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/numana2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Synthesis lectures on mathematics and statistics",
abstract = "Partial differential equations (PDEs) are one of the
most used widely forms of mathematics in science and
engineering. PDEs can have partial derivatives with
respect to (1) an initial value variable, typically
time, and (2) boundary value variables, typically
spatial variables. Therefore, two fractional PDEs can
be considered, (1) fractional in time (TFPDEs), and (2)
fractional in space (SFPDEs). The two volumes are
directed to the development and use of SFPDEs, with the
discussion divided as: Vol 1: Introduction to
Algorithms and Computer Coding in R Vol 2: Applications
from Classical Integer PDEs. Various definitions of
space fractional derivatives have been proposed. We
focus on the Caputo derivative, with occasional
reference to the Riemann--Liouville derivative. The
Caputo derivative is defined as a convolution integral.
Thus, rather than being local (with a value at a
particular point in space), the Caputo derivative is
non-local (it is based on an integration in space),
which is one of the reasons that it has properties not
shared by integer derivatives. A principal objective of
the two volumes is to provide the reader with a set of
documented R routines that are discussed in detail, and
can be downloaded and executed without having to first
study the details of the relevant numerical analysis
and then code a set of routines. In the first volume,
the emphasis is on basic concepts of SFPDEs and the
associated numerical algorithms. The presentation is
not as formal mathematics, e.g., theorems and proofs.
Rather, the presentation is by examples of SFPDEs,
including a detailed discussion of the algorithms for
computing numerical solutions to SFPDEs and a detailed
explanation of the associated source code.",
acknowledgement = ack-nhfb,
subject = "Fractional differential equations; Differential
equations, Partial; Spatial analysis (Statistics); R
(Computer program language); Differential equations,
Partial; Fractional differential equations; R (Computer
program language); Spatial analysis (Statistics)",
tableofcontents = "1. Introduction to fractional partial differential
equations \\
1.1 Introduction \\
1.2 Computer routines, example 1 \\
1.2.1 Main program \\
1.2.2 Subordinate ODE/MOL routine \\
1.2.3 Model output \\
1.3 Computer routines, example 2 \\
1.3.1 Main program \\
1.3.2 Subordinate ODE/MOL routine \\
1.3.3 Model output \\
1.3.4 Summary and conclusions \\
References \\
2. Variation in the order of the fractional derivatives
\\
2.1 Introduction \\
2.2 Computer routines, example 1 \\
2.2.1 Main program \\
2.2.2 Subordinate ODE/MOL routine \\
2.2.3 Model output \\
2.3 Computer routines, example 2 \\
2.3.1 Main program \\
2.3.2 Subordinate ODE/MOL routine \\
2.3.3 Model output \\
2.4 Summary and discussion \\
3. Dirichlet, Neumann, Robin BCs \\
3.1 Introduction \\
3.2 Example 1, Dirichlet BCs \\
3.2.1 Main program \\
3.2.2 Subordinate ODE/MOL routine \\
3.2.3 Model output \\
3.3 Example 2, Dirichlet BCs \\
3.3.1 Main program \\
3.3.2 Subordinate ODE/MOL routine \\
3.3.3 Model output \\
3.4 Example 2, Neumann BCs \\
3.4.1 Main program \\
3.4.2 Subordinate ODE/MOL routine \\
3.4.3 Model output \\
3.5 Example 2, Robin BCs \\
3.5.1 Main program \\
3.5.2 Subordinate ODE/MOL routine \\
3.5.3 Model output \\
3.6 Summary and conclusions \\
4. Convection SFPDEs \\
4.1 Introduction \\
4.2 Integer/fractional convection model \\
4.2.1 Main program \\
4.2.2 Subordinate ODE/MOL routine \\
4.2.3 SFPDE output \\
4.3 Summary and conclusions 5. Nonlinear SFPDEs \\
5.1 Introduction \\
5.1.1 Example 1 \\
5.1.2 Main program \\
5.1.3 Subordinate ODE/MOL routine \\
5.1.4 Model output \\
5.2 Example 2 \\
5.2.1 Main program \\
5.2.2 Subordinate ODE/MOL routine \\
5.2.3 Model output \\
5.3 Summary and conclusions \\
A. Analytical Caputo differentiation of selected
functions \\
B. Derivation of a SFPDE analytical solution \\
Introduction \\
SFPDE equations \\
Main program \\
ODE/MOL routine \\
Numerical output \\
Summary and conclusions \\
Authors' Biographies \\
Index",
}
@Book{Salehi:2018:NISb,
author = "Younes Salehi and William E. Schiesser",
title = "Numerical integration of space fractional partial
differential equations. {Volume 2}, {Applications} from
classical integer {PDEs}",
volume = "20",
publisher = "Morgan and Claypool Publishers",
address = "San Rafael, CA, USA",
pages = "xii + 183--375",
year = "2018",
DOI = "https://doi.org/10.2200/S00808ED1V02Y201710MAS020",
ISBN = "1-68173-209-2 (hardcover), 1-68173-210-6 (e-book)",
ISBN-13 = "978-1-68173-209-1 (hardcover), 978-1-68173-210-7
(e-book)",
ISSN = "1938-1743 (print), 1938-1751 (electronic)",
ISSN-L = "1938-1743",
LCCN = "QA372 .S2662 2018",
bibdate = "Tue Mar 13 17:13:47 MDT 2018",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/numana2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Synthesis lectures on mathematics and statistics",
abstract = "Partial differential equations (PDEs) are one of the
most used widely forms of mathematics in science and
engineering. PDEs can have partial derivatives with
respect to (1) an initial value variable, typically
time, and (2) boundary value variables, typically
spatial variables. Therefore, two fractional PDEs can
be considered, (1) fractional in time (TFPDEs), and (2)
fractional in space (SFPDEs). The two volumes are
directed to the development and use of SFPDEs, with the
discussion divided as: Vol 1: Introduction to
Algorithms and Computer Coding in R Vol 2: Applications
from Classical Integer PDEs. Various definitions of
space fractional derivatives have been proposed. We
focus on the Caputo derivative, with occasional
reference to the Riemann--Liouville derivative. In the
second volume, the emphasis is on applications of
SFPDEs developed mainly through the extension of
classical integer PDEs to SFPDEs. The example
applications are: Fractional diffusion equation with
Dirichlet, Neumann and Robin boundary conditions
Fisher--Kolmogorov SFPDE Burgers SFPDE Fokker--Planck
SFPDE Burgers--Huxley SFPDE Fitzhugh--Nagumo SFPDE.
These SFPDEs were selected because they are integer
first order in time and integer second order in space.
The variation in the spatial derivative from order two
(parabolic) to order one (first order hyperbolic)
demonstrates the effect of the spatial fractional order
$ \alpha $ with $ 1 \leq \alpha \leq 2 $. All of the
example SFPDEs are one dimensional in Cartesian
coordinates. Extensions to higher dimensions and other
coordinate systems, in principle, follow from the
examples in this second volume. The examples start with
a statement of the integer PDEs that are then extended
to SFPDEs. The format of each chapter is the same as in
the first volume. The R routines can be downloaded and
executed on a modest computer (R is readily available
from the Internet).",
acknowledgement = ack-nhfb,
subject = "Fractional differential equations; Differential
equations, Partial; Spatial analysis (Statistics);
Differential equations, Partial; Fractional
differential equations; Spatial analysis (Statistics)",
tableofcontents = "6. Simultaneous SFPDEs \\
6.1 Introduction \\
6.2 Simultaneous SFPDEs \\
6.2.1 Main program \\
6.2.2 ODE/MOL routine \\
6.2.3 SFPDEs output \\
6.2.4 Variation of the parameters \\
6.3 Summary and conclusions \\
7. Two sided SFPDEs \\
7.1 Introduction \\
7.2 Two-sided convective SFPDE, Caputo derivatives \\
7.2.1 Main program \\
7.2.2 ODE/MOL routine \\
7.2.3 SFPDE output \\
7.3 Two-sided convective SFPDE, Riemann--Liouville
derivatives \\
7.3.1 Main program \\
7.3.2 ODE/MOL routine \\
7.3.3 SFPDE output \\
7.4 Summary and conclusions \\
8. Integer to fractional extensions \\
8.1 Introduction \\
8.2 Fractional diffusion equation \\
8.2.1 Main program, Dirchlet BCs \\
8.2.2 ODE/MOL routine \\
8.2.3 Model output \\
8.2.4 Main program, Neumann BCs \\
8.2.5 ODE/MOL routine \\
8.2.6 Model output \\
8.2.7 Main program, Robin BCs \\
8.2.8 ODE/MOL routine \\
8.2.9 Model output \\
8.3 Fractional Burgers equation \\
8.3.1 Main program, Dirchlet BCs \\
8.3.2 ODE/MOL routine \\
8.3.3 Model output \\
8.4 Fractional Fokker--Planck equation \\
8.4.1 Main program \\
8.4.2 ODE/MOL routine \\
8.4.3 Model output \\
8.5 Fractional Burgers--Huxley equation \\
8.5.1 Main program \\
8.5.2 ODE/MOL routine \\
8.5.3 Model output \\
8.6 Fractional Fitzhugh--Nagumo equation \\
8.6.1 Main program \\
8.6.2 ODE/MOL routine \\
8.6.3 Model output \\
8.7 Summary and conclusions \\
Authors' biographies \\
Index",
}
@Article{Sax:2018:SAX,
author = "Christoph Sax and Dirk Eddelbuettel",
title = "Seasonal Adjustment by \pkg{X-13ARIMA-SEATS} in {R}",
journal = j-J-STAT-SOFT,
volume = "87",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v87.i11",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:26 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v087i11;
https://www.jstatsoft.org/index.php/jss/article/view/v087i11/v87i11.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Scrucca:2018:CPI,
author = "Luca Scrucca and Adrian E. Raftery",
title = "\pkg{clustvarsel}: A Package Implementing Variable
Selection for {Gaussian} Model-Based Clustering in
{R}",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i01;
https://www.jstatsoft.org/index.php/jss/article/view/v084i01/v84i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Sheffield:2018:PSR,
author = "Nathan Sheffield and V. P. Nagraj and Vince Reuter",
title = "\pkg{simpleCache}: {R} caching for reproducible,
distributed, large-scale projects",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "21",
pages = "463:1--463:1",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00463",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00463",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "10 January 2018",
ORCID-numbers = "Nathan Sheffield / 0000-0001-5643-4068; V. P. Nagraj
/ 0000-0003-0060-566X; Vince Reuter /
0000-0002-7967-976X",
}
@Book{Shoukri:2018:ACD,
author = "M. M. (Mohamed M.) Shoukri",
title = "Analysis of Correlated Data with {SAS} and {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
edition = "Fourth edition",
pages = "xv + 497",
year = "2018",
DOI = "https://doi.org/10.1201/9781315277738",
ISBN = "1-138-19745-9 (hardcover), 1-315-27770-0 (Mobipocket
e-book), 1-315-27771-9 (ePub e-book), 1-315-27772-7
(PDF e-book), 1-315-27773-5 (e-book)",
ISBN-13 = "978-1-138-19745-9 (hardcover), 978-1-315-27770-7
(Mobipocket e-book), 978-1-315-27771-4 (ePub e-book),
978-1-315-27772-1 (PDF e-book), 978-1-315-27773-8
(e-book)",
LCCN = "RA652.2.M3 .S53 2018",
bibdate = "Mon Jun 7 10:04:26 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
abstract = "\booktitle{Analysis of Correlated Data with SAS and
R}: 4th edition, presents an applied treatment of
recently developed statistical models and methods for
the analysis of hierarchical binary, count and
continuous response data. It explains how to use
procedures in SAS and packages in R for exploring data,
fitting appropriate models, presenting programming
codes and results. The book is designed for senior
undergraduate and graduate students in the health
sciences, epidemiology, statistics, and biostatistics
as well as clinical researchers, and consulting
statisticians who can apply the methods with their own
data analyses. In each chapter a brief description of
the foundations of statistical theory needed to
understand the methods is given, thereafter the author
illustrates the applicability of the techniques by
providing sufficient number of examples. The last three
chapters of the 4th edition contain introductory
material on propensity score analysis, meta-analysis
and the treatment of missing data using SAS and R.
These topics were not covered in previous editions. The
main reason is that there is an increasing demand by
clinical researchers to have these topics covered at a
reasonably understandable level of complexity. Mohamed
Shoukri is principal scientist and professor of
biostatistics at The National Biotechnology Center,
King Faisal Specialist Hospital and Research Center and
Al-Faisal University, Saudi Arabia. Professor Shoukri's
research includes analytic epidemiology, analysis of
hierarchical data, and clinical biostatistics. He is an
associate editor of the 3Biotech journal, a Fellow of
the Royal Statistical Society and an elected member of
the International Statistical Institute.",
acknowledgement = ack-nhfb,
remark = "Previous edition: 2014.",
subject = "Epidemiology; Statistical methods; Statistical
methods.",
tableofcontents = "1: Study Designs and Measures of Effect Size (18
pages) \\
2: Comparing Group Means When the Standard Assumptions
Are Violated (24 pages) \\
3: Analyzing Clustered Data (36 pages) \\
4: Statistical Analysis of Cross-Classified Data (62
pages) \\
5: Modeling Binary Outcome Data (55 pages) \\
6: Analysis of Clustered Count Data (32 pages) \\
7: Repeated Measures and Longitudinal Data Analysis (49
pages) \\
8: Introduction to Time Series Analysis (56 pages) \\
9: Analysis of Survival Data (48 pages) \\
10: Introduction to Propensity Score Analysis (26
pages) \\
11: Introductory Meta-Analysis (30 pages) \\
12: Missing Data (25 pages)",
}
@Article{Smith:2018:PHC,
author = "Andrew P. Smith",
title = "\pkg{humanleague}: a {C++} microsynthesis package with
{R} and {Python} interfaces",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "25",
pages = "629:1--629:1",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00629",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00629",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "03 May 2018",
ORCID-numbers = "Andrew P. Smith / 0000-0002-9951-6642",
}
@Article{Sousa:2018:PBR,
author = "David N. Sousa and Jo{\~a}o R. Daniel",
title = "\pkg{bor}: An {R} Package for Transforming Behavioral
Observation Records into Data Matrices",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "28",
pages = "909:1--909:4",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00909",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00909",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "28 August 2018",
ORCID-numbers = "David N. Sousa / 0000-0001-7277-6447; Jo{\~a}o R.
Daniel / 0000-0001-6609-2014",
}
@Article{Stander:2018:BSA,
author = "Julian Stander and Luciana Dalla Valle and Mario
Cortina-Borja",
title = "A {Bayesian} Survival Analysis of a Historical
Dataset: How Long Do Popes Live?",
journal = j-AMER-STAT,
volume = "72",
number = "4",
pages = "368--375",
year = "2018",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2017.1328374",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Wed Mar 13 12:31:13 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://amstat.tandfonline.com/doi/full/10.1080/00031305.2017.1328374",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
keywords = "Epi package; R (programming language)",
onlinedate = "10 May 2018",
}
@Article{Tang:2018:PAR,
author = "Yuan Tang",
title = "\pkg{autoplotly}: An {R} package for automatic
generation of interactive visualizations for
statistical results",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "24",
pages = "657:1--657:2",
month = apr,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00657",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00657",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "19 April 2018",
ORCID-numbers = "Yuan Tang / 0000-0001-5243-233X",
}
@Article{Tarr:2018:MRP,
author = "Garth Tarr and Samuel M{\"u}ller and Alan H. Welsh",
title = "\pkg{mplot}: An {R} Package for Graphical Model
Stability and Variable Selection Procedures",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i09;
https://www.jstatsoft.org/index.php/jss/article/view/v083i09/v83i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Tattar:2018:BRS,
author = "Prabhanjan Tattar",
title = "Book Review: {Scutari, Marco and Denis, Jean-Baptiste.
\booktitle{Bayesian Networks: With Examples in R}. Boca
Raton, CRC Press}",
journal = j-BIOMETRICS,
volume = "74",
number = "1",
pages = "379--380",
month = mar,
year = "2018",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.12856",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:44 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "14 March 2018",
}
@Article{Tennekes:2018:TTM,
author = "Martijn Tennekes",
title = "\pkg{tmap}: Thematic Maps in {R}",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i06;
https://www.jstatsoft.org/index.php/jss/article/view/v084i06/v84i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Thieme:2018:RG,
author = "Nick Thieme",
title = "{R} Generation",
journal = j-SIGNIF,
volume = "15",
number = "4",
pages = "14--19",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1740-9713.2018.01169.x",
ISSN = "1740-9705 (print), 1740-9713 (electronic)",
ISSN-L = "1740-9705",
bibdate = "Thu Aug 13 11:26:03 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/significance.bib",
URL = "https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1740-9713.2018.01169.x",
abstract = "The story of a statistical programming language that
became a subcultural phenomenon.",
acknowledgement = ack-nhfb,
ajournal = "Signif.",
fjournal = "Significance ({Oxford, England})",
journal-URL = "https://rss.onlinelibrary.wiley.com/journal/17409713",
onlinedate = "26 July 2018",
}
@Article{Thorley:2018:PCR,
author = "Joe Thorley",
title = "\pkg{checkr}: An {R} package for Assertive
Programming",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "23",
pages = "624:1--624:1",
month = mar,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00624",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00624",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "26 March 2018",
ORCID-numbers = "Joe Thorley / 0000-0002-7683-4592",
}
@Article{Turner:2018:PQR,
author = "Stephen D. Turner",
title = "\pkg{qqman}: an {R} package for visualizing {GWAS}
results using {Q-Q} and {Manhattan} plots",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "25",
pages = "731:1--731:2",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00731",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00731",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "19 May 2018",
ORCID-numbers = "Stephen D. Turner / 0000-0001-9140-9028",
}
@Article{Uschner:2018:RRP,
author = "Diane Uschner and David Schindler and Ralf-Dieter
Hilgers and Nicole Heussen",
title = "\pkg{randomizeR}: An {R} Package for the Assessment
and Implementation of Randomization in Clinical
Trials",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i08",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i08;
https://www.jstatsoft.org/index.php/jss/article/view/v085i08/v85i08.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Vantas:2018:PHR,
author = "Konstantinos Vantas",
title = "\pkg{hydroscoper}: {R} interface to the {Greek
National Data Bank for Hydrological and Meteorological
Information}",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "23",
pages = "625:1--625:2",
month = mar,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00625",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00625",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "14 March 2018",
ORCID-numbers = "Konstantinos Vantas / 0000-0001-6387-8791",
}
@Article{Verde:2018:BRP,
author = "Pablo Emilio Verde",
title = "\pkg{bamdit}: An {R} Package for {Bayesian}
Meta-Analysis of Diagnostic Test Data",
journal = j-J-STAT-SOFT,
volume = "86",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v86.i10",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:21 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v086i10;
https://www.jstatsoft.org/index.php/jss/article/view/v086i10/v86i10.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Villegas:2018:SRP,
author = "Andr{\'e}s M. Villegas and Vladimir K. Kaishev and
Pietro Millossovich",
title = "\pkg{StMoMo}: An {R} Package for Stochastic Mortality
Modeling",
journal = j-J-STAT-SOFT,
volume = "84",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v84.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:10 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v084i03;
https://www.jstatsoft.org/index.php/jss/article/view/v084i03/v84i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Wadhwa:2018:PTR,
author = "Raoul R. Wadhwa and Drew F. K. Williamson and Andrew
Dhawan and Jacob G. Scott",
title = "\pkg{TDAstats}: {R} pipeline for computing persistent
homology in topological data analysis",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "28",
pages = "860:1--860:3",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00860",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00860",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "08 August 2018",
ORCID-numbers = "Raoul R. Wadhwa / 0000-0003-0503-9580; Drew F. K.
Williamson / 0000-0003-1745-8846; Andrew Dhawan /
0000-0002-5027-1277; Jacob G. Scott /
0000-0003-2971-7673",
}
@Article{Wang:2018:BRP,
author = "Chenguang Wang and Thomas A. Louis and Nicholas C.
Henderson and Carlos O. Weiss and Ravi Varadhan",
title = "\pkg{beanz}: An {R} Package for {Bayesian} Analysis of
Heterogeneous Treatment Effects with a Graphical User
Interface",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i07",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i07;
https://www.jstatsoft.org/index.php/jss/article/view/v085i07/v85i07.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Weller:2018:SRP,
author = "Zachary D. Weller",
title = "\pkg{spTest}: An {R} Package Implementing
Nonparametric Tests of Isotropy",
journal = j-J-STAT-SOFT,
volume = "83",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v83.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v083i04;
https://www.jstatsoft.org/index.php/jss/article/view/v083i04/v83i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Wiley:2018:PRR,
author = "David Wiley",
title = "\pkg{RISE}: An {R} package for {RISE} analysis",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "28",
pages = "846:1--846:1",
month = aug,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00846",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00846",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "08 August 2018",
ORCID-numbers = "David Wiley / 0000-0001-6722-4744",
}
@Article{Wilkinson:2018:PPR,
author = "Shaun P. Wilkinson and Simon K. Davy",
title = "\pkg{phylogram}: an {R} package for phylogenetic
analysis with nested lists",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "26",
pages = "790:1--790:2",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00790",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00790",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "22 June 2018",
ORCID-numbers = "Shaun P. Wilkinson / 0000-0002-7332-7931; Simon K.
Davy / 0000-0003-3584-5356",
}
@Book{Wu:2018:NML,
author = "Colin O. Wu and Xin (Mathematical statistician) Tian",
title = "Nonparametric Models for Longitudinal Data: with
Implementation in {R}",
volume = "159",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "xxix + 551",
year = "2018",
ISBN = "1-4665-1600-3 (hardcover), 0-429-93908-6 (pdf),
1-4665-1601-1 (e-book)",
ISBN-13 = "978-1-4665-1600-7 (hardcover), 978-0-429-93908-2
(pdf), 978-1-4665-1601-4 (e-book)",
LCCN = "QH323.5 .W82 2018",
bibdate = "Sat Jun 27 09:28:42 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Monographs on Statistics and Applied Probability",
abstract = "This book covers the recent advancement of statistical
methods for the analysis of longitudinal data. Real
datasets from four large NIH-supported longitudinal
clinical trials and epidemiological studies illustrate
the practical applications of the statistical methods.
This book focuses on the nonparametric approaches,
which have gained tremendous popularity in biomedical
studies. These approaches have the flexibility to
answer many scientific questions that cannot be
properly addressed by the existing parametric
approaches, such as the linear and nonlinear mixed
effects models.",
acknowledgement = ack-nhfb,
subject = "Biometry; Medical statistics; Longitudinal method;
Nonparametric statistics; Biometry; Longitudinal
method; Medical statistics; Nonparametric statistics",
tableofcontents = "Introduction \\
Parametric and semiparametric methods \\
Kernel and local polynomial methods \\
Basis approximation smoothing methods \\
Penalized smoothing spline methods \\
Smoothing with time-invariant covariates \\
The one-step local smoothing methods \\
The two-step local smoothing methods \\
Global smoothing methods \\
Models for concomitant interventions \\
Nonparametric mixed-effects models \\
Unstructured models for distributions \\
Time-varying transformation models-I \\
Time-varying transformation models-II \\
Tracking with mixed-effects models",
}
@Article{Wyszynski:2018:SSM,
author = "Karol Wyszynski and Giampiero Marra",
title = "Sample selection models for count data in {R}",
journal = j-COMP-STAT,
volume = "33",
number = "3",
pages = "1385--1412",
month = sep,
year = "2018",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-017-0762-y",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-017-0762-y;
http://link.springer.com/content/pdf/10.1007/s00180-017-0762-y.pdf",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Yassouridis:2018:GCE,
author = "Christina Yassouridis and Dominik Ernst and Friedrich
Leisch",
title = "Generalization, Combination and Extension of
Functional Clustering Algorithms: The {R} Package
\pkg{funcy}",
journal = j-J-STAT-SOFT,
volume = "85",
number = "??",
pages = "??--??",
month = "????",
year = "2018",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v85.i09",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:14 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v085i09;
https://www.jstatsoft.org/index.php/jss/article/view/v085i09/v85i09.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Zagalsky:2018:HRC,
author = "Alexey Zagalsky and Daniel M. German and Margaret-Anne
Storey and Carlos G{\'o}mez Teshima and Germ{\'a}n
Poo-Caama{\~n}o",
title = "How the {R} community creates and curates knowledge:
an extended study of stack overflow and mailing lists",
journal = j-EMPIR-SOFTWARE-ENG,
volume = "23",
number = "2",
pages = "953--986",
month = apr,
year = "2018",
CODEN = "ESENFW",
DOI = "https://doi.org/10.1007/s10664-017-9536-y",
ISSN = "1382-3256 (print), 1573-7616 (electronic)",
ISSN-L = "1382-3256",
bibdate = "Wed Sep 26 14:34:25 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/empir-software-eng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s10664-017-9536-y",
acknowledgement = ack-nhfb,
fjournal = "Empirical Software Engineering",
journal-URL = "http://link.springer.com/journal/10664",
}
@Article{Zaghdoudi:2018:PIR,
author = "Taha Zaghdoudi",
title = "\pkg{ivporbit}: An {R} package to estimate the
instrumental variables probit model",
journal = j-J-OPEN-SOURCE-SOFT,
volume = "3",
number = "22",
pages = "523:1--523:1",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.21105/joss.00523",
ISSN = "2475-9066",
ISSN-L = "2475-9066",
bibdate = "Thu Sep 13 08:09:35 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/joss.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://joss.theoj.org/papers/10.21105/joss.00523",
acknowledgement = ack-nhfb,
fjournal = "Journal of Open Source Software",
journal-URL = "http://joss.theoj.org/;
https://github.com/openjournals/joss-papers/",
onlinedate = "23 February 2018",
ORCID-numbers = "Taha Zaghdoudi / 0000-0002-4488-5774",
}
@Article{Zheng:2018:FPS,
author = "Da Zheng and Disa Mhembere and Joshua T. Vogelstein
and Carey E. Priebe and Randal Burns",
title = "{FlashR}: parallelize and scale {R} for machine
learning using {SSDs}",
journal = j-SIGPLAN,
volume = "53",
number = "1",
pages = "183--194",
month = jan,
year = "2018",
CODEN = "SINODQ",
DOI = "https://doi.org/10.1145/3200691.3178501",
ISSN = "0362-1340 (print), 1523-2867 (print), 1558-1160
(electronic)",
ISSN-L = "0362-1340",
bibdate = "Wed Oct 16 14:12:56 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sigplan2010.bib",
abstract = "R is one of the most popular programming languages for
statistics and machine learning, but it is slow and
unable to scale to large datasets. The general approach
for having an efficient algorithm in R is to implement
it in C or FORTRAN and provide an R wrapper. FlashR
accelerates and scales existing R code by parallelizing
a large number of matrix functions in the R base
package and scaling them beyond memory capacity with
solid-state drives (SSDs). FlashR performs memory
hierarchy aware execution to speed up parallelized R
code by (i) evaluating matrix operations lazily, (ii)
performing all operations in a DAG in a single
execution and with only one pass over data to increase
the ratio of computation to I/O, (iii) performing two
levels of matrix partitioning and reordering
computation on matrix partitions to reduce data
movement in the memory hierarchy. We evaluate FlashR on
various machine learning and statistics algorithms on
inputs of up to four billion data points. Despite the
huge performance gap between SSDs and RAM, FlashR on
SSDs closely tracks the performance of FlashR in memory
for many algorithms. The R implementations in FlashR
outperforms H$_2$O and Spark MLlib by a factor of 3 ---
20.",
acknowledgement = ack-nhfb,
fjournal = "ACM SIGPLAN Notices",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J706",
remark = "PPoPP '18 proceedings.",
}
@Article{Alberti:2019:MRP,
author = "Gianmarco Alberti",
title = "\pkg{movecost}: an {R} package for calculating
accumulated slope-dependent anisotropic cost-surfaces
and least-cost paths",
journal = j-SOFTWAREX,
volume = "10",
number = "??",
pages = "Article 100331",
month = jul # "\slash " # dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2019.100331",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:36 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711019302341",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Ardia:2019:GAS,
author = "David Ardia and Kris Boudt and Leopoldo Catania",
title = "Generalized Autoregressive Score Models in {R}: The
\pkg{GAS} Package",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.i06",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088i06;
https://www.jstatsoft.org/index.php/jss/article/view/v088i06/v88i06.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Armero:2019:BRD,
author = "Carmen Armero",
title = "Book Review: {{\booktitle{Data Analysis Using
Hierarchical Generalized Linear Models with R}}}",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.b01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088b01;
https://www.jstatsoft.org/index.php/jss/article/view/v088b01/v88b01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Baayen:2019:STC,
author = "C. Baayen and C. Volteau and C. Flamant and P.
Blanche",
title = "Sequential trials in the context of competing risks:
Concepts and case study, with {R} and {SAS} code",
journal = j-STAT-MED,
volume = "38",
number = "19",
pages = "3682--3702",
day = "30",
month = aug,
year = "2019",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.8184",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:49:21 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "17 May 2019",
}
@Article{Becker:2019:TFE,
author = "Gabriel Becker and Sara E. Moore and Michael
Lawrence",
title = "\pkg{trackr}: A Framework for Enhancing
Discoverability and Reproducibility of Data
Visualizations and Other Artifacts in {R}",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "28",
number = "3",
pages = "644--658",
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2019.1585259",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Mon Mar 9 11:36:12 MDT 2020",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
onlinedate = "29 Apr 2019",
}
@Book{Bell:2019:RPS,
author = "Daniel Bell",
title = "{R} Programming: A Step-by-Step Guide for Absolute
Beginners",
publisher = "Guzzler Media LLC",
address = "????",
pages = "170 (est.)",
year = "2019",
ISBN = "1-69676-964-7",
ISBN-13 = "978-1-69676-964-8",
LCCN = "????",
bibdate = "Tue Feb 11 05:44:59 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Bouveyron:2019:MBCh,
author = "Charles Bouveyron and Gilles Celeux and T. Brendan
Murphy and Adrian E. Raftery",
title = "Model-based clustering and classification for data
science: with applications in {R}",
volume = "50",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "xvii + 427",
year = "2019",
DOI = "https://doi.org/10.1017/9781108644181",
ISBN = "1-108-49420-X (hardcover), 1-108-64059-1,
1-108-64418-X (e-book)",
ISBN-13 = "978-1-108-49420-5 (hardcover), 978-1-108-64059-6,
978-1-108-64418-1 (e-book)",
LCCN = "QA278.55 .M63 2019",
bibdate = "Thu Aug 13 17:18:32 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Cambridge series in statistical and probabilistic
mathematics",
abstract = "Cluster analysis finds groups in data automatically.
Most methods have been heuristic and leave open such
central questions as: how many clusters are there?
Which method should I use? How should I handle
outliers? Classification assigns new observations to
groups given previously classified observations, and
also has open questions about parameter tuning,
robustness and uncertainty assessment. This book frames
cluster analysis and classification in terms of
statistical models, thus yielding principled
estimation, testing and prediction methods, and sound
answers to the central questions. It builds the basic
ideas in an accessible but rigorous way, with extensive
data examples and R code; describes modern approaches
to high-dimensional data and networks; and explains
such recent advances as Bayesian regularization,
non-Gaussian model-based clustering, cluster merging,
variable selection, semi-supervised and robust
classification, clustering of functional data, text and
images, and co-clustering. Written for advanced
undergraduates in data science, as well as researchers
and practitioners, it assumes basic knowledge of
multivariate calculus, linear algebra, probability and
statistics.",
acknowledgement = ack-nhfb,
author-dates = "1979--",
subject = "Cluster analysis; Mathematical statistics; Statistics;
Classification; R (Computer program language); Cluster
analysis.; Mathematical statistics.; R (Computer
program language); Statistics.",
tableofcontents = "Preface \\
1 Introduction \\
1.1 Cluster Analysis \\
1.1.1 From Grouping to Clustering \\
1.1.2 Model-based Clustering \\
1.2 Classification \\
1.2.1 From Taxonomy to Machine Learning \\
1.2.2 Model-based Discriminant Analysis \\
1.3 Examples \\
1.4 Software \\
1.5 Organization of the Book \\
1.6 Bibliographic Notes \\
2 Model-based Clustering: Basic Ideas \\
2.1 Finite Mixture Models \\
2.2 Geometrically Constrained Multivariate Normal
Mixture Models \\
2.3 Estimation by Maximum Likelihood2.4 Initializing
the EM Algorithm2.4.1 Initialization by Hierarchical
Model-based Clustering \\
2.4.2 Initialization Using the smallEM Strategy \\
2.5 Examples with Known Number of Clusters \\
2.6 Choosing the Number of Clusters and the Clustering
Model \\
2.7 Illustrative Analyses \\
2.7.1 Wine Varieties \\
2.7.2 Craniometric Analysis \\
2.8 Who Invented Model-based Clustering? \\
2.9 Bibliographic Notes \\
3 Dealing with Difficulties \\
3.1 Outliers \\
3.1.1 Outliers in Model-based Clustering \\
3.1.2 Mixture Modeling with a Uniform Component for
Outliers \\
3.1.3 Trimming Data with tclust3.2 Dealing with
Degeneracies: Bayesian Regularization3.3 Non-Gaussian
Mixture Components and Merging \\
3.4 Bibliographic Notes \\
4 Model-based Classification \\
4.1 Classification in the Probabilistic Framework \\
4.1.1 Generative or Predictive Approach \\
4.1.2 An Introductory Example \\
4.2 Parameter Estimation \\
4.3 Parsimonious Classification Models \\
4.3.1 Gaussian Classification with EDDA \\
4.3.2 Regularized Discriminant Analysis \\
4.4 Multinomial Classification \\
4.4.1 The Conditional Independence Model \\
4.4.2 An Illustration \\
4.5 Variable Selection \\
4.6 Mixture Discriminant Analysis4.7 Model Assessment
and Selection4.7.1 The Cross-validated Error Rate \\
4.7.2 Model Selection and Assessing the Error Rate \\
4.7.3 Penalized Log-likelihood Criteria \\
5 Semi-supervised Clustering and Classification \\
5.1 Semi-supervised Classification \\
5.1.1 Estimating the Model Parameters through the EM
Algorithm \\
5.1.2 A First Experimental Comparison \\
5.1.3 Model Selection Criteria for Semi-supervised
Classification \\
5.2 Semi-supervised Clustering \\
5.2.1 Incorporating Must-link Constraints \\
5.2.2 Incorporating Cannot-link Constraints \\
5.3 Supervised Classification with Uncertain
Labels5.3.1 The Label Noise Problem5.3.2 A Model-based
Approach for the Binary Case \\
5.3.3 A Model-based Approach for the Multi-class Case
\\
5.4 Novelty Detection: Supervised Classification with
Unobserved Classes \\
5.4.1 A Transductive Model-based Approach \\
5.4.2 An Inductive Model-based Approach \\
5.5 Bibliographic Notes \\
6 Discrete Data Clustering \\
6.1 Example Data \\
6.2 The Latent Class Model for Categorical Data \\
6.2.1 Maximum Likelihood Estimation \\
6.2.2 Parsimonious Latent Class Models \\
6.2.3 The Latent Class Model as a Cluster Analysis Tool
\\
6.2.4 Model Selection",
}
@Article{Capaldi:2019:BRD,
author = "Mindy Capaldi",
title = "Book Review: {{\booktitle{Data Science and Predictive
Analytics: Biomedical and Health Applications Using
R}}, Ivo D. Dinov, Springer, 2018, xxxiv + 832 pages,
\pounds 89.99, hardcover ISBN: 978-3-319-72346-4}",
journal = j-INT-STAT-REV,
volume = "87",
number = "1",
pages = "181--182",
month = apr,
year = "2019",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12317",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Sat Sep 7 07:31:05 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "International Statistical Review",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-5823;
http://www.jstor.org/journals/03067734.html",
onlinedate = "05 April 2019",
}
@Article{Casalicchio:2019:ORP,
author = "Giuseppe Casalicchio and Jakob Bossek and Michel Lang
and Dominik Kirchhoff and Pascal Kerschke and Benjamin
Hofner and Heidi Seibold and Joaquin Vanschoren and
Bernd Bischl",
title = "\pkg{OpenML}: An {R} package to connect to the machine
learning platform {OpenML}",
journal = j-COMP-STAT,
volume = "34",
number = "3",
pages = "977--991",
month = sep,
year = "2019",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-017-0742-2",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-017-0742-2",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Dressler:2019:BRC,
author = "Emily Dressler",
title = "Book Review: {{\booktitle{Clinical Trial Optimization
Using R}}}",
journal = j-AMER-STAT,
volume = "73",
number = "2",
pages = "210--211",
year = "2019",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2019.1603479",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Fri Dec 13 07:03:15 MST 2019",
bibsource = "http://www.tandfonline.com/toc/utas20/73/2;
https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://amstat.tandfonline.com/doi/full/10.1080/00031305.2019.1603479",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "23 May 2019",
}
@Article{Drummond:2019:SRP,
author = "Blair R. Drummond and Christian J. G. Tessier and
Mathieu F. Dextraze and Corrie J. B. daCosta",
title = "\pkg{scbursts}: an {R} package for analysis and
sorting of single-channel bursts",
journal = j-SOFTWAREX,
volume = "10",
number = "??",
pages = "Article 100285",
month = jul # "\slash " # dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2019.100285",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:36 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711019300810",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Fernandez-Macho:2019:PPW,
author = "J. Fern{\'a}ndez-Macho",
title = "Package \pkg{Wavemulcor}: Wavelet Multiple Regression
and Correlation in {R}",
journal = j-COMPUT-SCI-ENG,
volume = "21",
number = "6",
pages = "63--73",
month = nov,
year = "2019",
CODEN = "CSENFA",
DOI = "https://doi.org/10.1109/MCSE.2018.2875320",
ISSN = "1521-9615 (print), 1558-366X (electronic)",
ISSN-L = "1521-9615",
bibdate = "Fri Nov 29 16:23:23 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/computscieng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Computing in Science and Engineering",
journal-URL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5992",
keywords = "Correlation; correlation methods; global wavelet
multiple correlations; mathematics computing; package
wavemulcor; R wavemulcor package; time series; Time
series analysis; Time-frequency analysis; Wavelet
analysis; wavelet multiple regression; wavelet
transforms; Wavelet transforms",
}
@Article{Gagunashvili:2019:CCC,
author = "Nikolay D. Gagunashvili and Helgi Halldorsson and
Helmut Neukirchen",
title = "{CHICOM}: Code for comparing weighted or unweighted
histograms in {Fortran-77}, {C++}, {R} and {Python}",
journal = j-COMP-PHYS-COMM,
volume = "245",
number = "??",
pages = "Article 106872",
month = dec,
year = "2019",
CODEN = "CPHCBZ",
ISSN = "0010-4655 (print), 1879-2944 (electronic)",
ISSN-L = "0010-4655",
bibdate = "Tue Oct 29 11:44:58 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compphyscomm2010.bib;
https://www.math.utah.edu/pub/tex/bib/fortran3.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0010465519302590",
acknowledgement = ack-nhfb,
fjournal = "Computer Physics Communications",
journal-URL = "http://www.sciencedirect.com/science/journal/00104655",
}
@Article{Gelling:2019:RPR,
author = "Nicholas Gelling and Matthew R. Schofield and Richard
J. Barker",
title = "{R} package \pkg{rjmcmc}: reversible jump {MCMC} using
post-processing",
journal = j-ANZJS,
volume = "61",
number = "2",
pages = "189--212",
month = jun,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12263",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Sat Oct 12 09:24:54 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
onlinedate = "05 July 2019",
}
@Article{Glassic:2019:CFR,
author = "Hayley C. Glassic and Kurt C. Heim and Christopher S.
Guy",
title = "Creating Figures in {R} that Meet the {AFS Style
Guide}: Standardization and Supporting Script",
journal = j-FISHERIES,
volume = "44",
number = "11",
pages = "539--544",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1002/fsh.10272",
ISSN = "0363-2415 (print), 1548-8446 (electronic)",
ISSN-L = "0363-2415",
bibdate = "Fri Mar 4 20:05:28 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fisheries.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10272",
acknowledgement = ack-nhfb,
ajournal = "Fisheries",
fjournal = "Fisheries",
journal-URL = "https://afspubs.onlinelibrary.wiley.com/loi/15488446",
onlinedate = "20 November 2019",
}
@Article{Goel:2019:DIU,
author = "Aviral Goel and Jan Vitek",
title = "On the design, implementation, and use of laziness in
{R}",
journal = j-PACMPL,
volume = "3",
number = "OOPSLA",
pages = "153:1--153:27",
month = oct,
year = "2019",
DOI = "https://doi.org/10.1145/3360579",
bibdate = "Fri Aug 7 19:22:30 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/pacmpl.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3360579",
abstract = "The R programming language has been lazy for over
twenty-five years. This paper presents a review of the
design and implementation of call-by-need in R, and a
data-driven study of how generations of programmers
have put laziness to use in their code. We analyze
16,707 packages and observe the creation of 270.9 B
promises. Our data suggests that there is little
supporting evidence to assert that programmers use
laziness to avoid unnecessary computation or to operate
over infinite data structures. For the most part R code
appears to have been written without reliance on, and
in many cases even knowledge of, delayed argument
evaluation. The only significant exception is a small
number of packages which leverage call-by-need for
meta-programming.",
acknowledgement = ack-nhfb,
articleno = "153",
fjournal = "Proceedings of the ACM on Programming Languages",
journal-URL = "https://pacmpl.acm.org/",
}
@Article{Gorecki:2019:FRS,
author = "Tomasz G{\'o}recki and Lukasz Smaga",
title = "\pkg{fdANOVA}: an {R} software package for analysis of
variance for univariate and multivariate functional
data",
journal = j-COMP-STAT,
volume = "34",
number = "2",
pages = "571--597",
month = jun,
year = "2019",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-018-0842-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Thu Jun 18 16:19:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://link.springer.com/article/10.1007/s00180-018-0842-7;
http://link.springer.com/content/pdf/10.1007/s00180-018-0842-7.pdf",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Harel:2019:BRM,
author = "Ofer Harel",
title = "Book Review: {{\booktitle{Missing and Modified Data in
Nonparametric Estimation: With R Examples}}}",
journal = j-J-AM-STAT-ASSOC,
volume = "114",
number = "527",
pages = "1421--1423",
year = "2019",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1080/01621459.2019.1662248",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Fri Dec 13 06:52:04 MST 2019",
bibsource = "http://www.tandfonline.com/toc/uasa20/114/527;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
onlinedate = "25 Sep 2019",
}
@Article{Haunschild:2019:RPP,
author = "Robin Haunschild and Lutz Bornmann and Jonathan
Adams",
title = "{R} package for producing beamplots as a preferred
alternative to the {$h$} index when assessing single
researchers (based on downloads from {Web of
Science})",
journal = j-SCIENTOMETRICS,
volume = "120",
number = "2",
pages = "925--927",
month = aug,
year = "2019",
CODEN = "SCNTDX",
DOI = "https://doi.org/10.1007/s11192-019-03147-3",
ISSN = "0138-9130 (print), 1588-2861 (electronic)",
ISSN-L = "0138-9130",
bibdate = "Mon Jul 29 10:33:24 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/scientometrics2010.bib",
URL = "http://link.springer.com/article/10.1007/s11192-019-03147-3",
acknowledgement = ack-nhfb,
fjournal = "Scientometrics",
journal-URL = "http://link.springer.com/journal/11192",
}
@Article{Helske:2019:MHM,
author = "Satu Helske and Jouni Helske",
title = "Mixture Hidden {Markov} Models for Sequence Data: The
\pkg{seqHMM} Package in {R}",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.i03",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088i03;
https://www.jstatsoft.org/index.php/jss/article/view/v088i03/v88i03.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Hirschfeld:2019:CBS,
author = "G. Hirschfeld and C. Thiele",
title = "Cloud-based simulation studies in {R} --- A tutorial
on using \pkg{doRedis} with {Amazon} spot fleets",
journal = j-STAT-MED,
volume = "38",
number = "20",
pages = "3947--3959",
day = "10",
month = sep,
year = "2019",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.8188",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Sat Jun 27 15:49:21 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2010.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "03 May 2019",
}
@Book{Holmes:2019:MSMe,
author = "Susan Holmes and Wolfgang Huber",
title = "Modern Statistics for Modern Biology",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "xxiii + 382",
year = "2019",
DOI = "https://doi.org/10.1017/9781108551441",
ISBN = "1-108-70529-4 paperback",
ISBN-13 = "978-1-108-70529-5 paperback",
LCCN = "QH323.5 .H65 2019",
bibdate = "Sat Sep 5 17:39:36 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "If you are a biologist and want to get the best out of
the powerful methods of modern computational
statistics, this is your book. You can visualize and
analyze your own data, apply unsupervised and
supervised learning, integrate datasets, apply
hypothesis testing, and make publication-quality
figures using the power of R/Bioconductor and ggplot2.
This book will teach you ''cooking from scratch,`` from
raw data to beautiful illuminating output, as you learn
to write your own scripts in the R language and to use
advanced statistics packages from CRAN and
Bioconductor.",
acknowledgement = ack-nhfb,
author-dates = "1954--",
subject = "Biometry; Biomathematics; Science",
tableofcontents = "Generative models for discrete data \\
Statistical modeling \\
High-quality graphics in R \\
Mixture models \\
Clustering \\
Testing \\
Multivariate analysis \\
High-throughput count data \\
Multivariate methods for heterogeneous data \\
Networks and trees \\
Image data \\
Supervised learning \\
Design of high-throughput experiments and their
analyses",
}
@Book{Irizarry:2019:IDS,
author = "Rafael A. Irizarry",
title = "Introduction to Data Science: Data Analysis and
Prediction Algorithms with {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxx + 713",
year = "2019",
ISBN = "0-367-35798-4 (hardcover), 0-367-35799-2 (paperback),
0-429-34183-0 (e-book (PDF))",
ISBN-13 = "978-0-367-35798-6 (hardcover), 978-0-367-35799-3
(paperback), 978-0-429-34183-0 (e-book (PDF))",
LCCN = "QA276.45.R3 I75 2019",
bibdate = "Sun Jul 19 09:26:34 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "The book begins by going over the basics of R and the
tidyverse. You learn R throughout the book, but in the
first part we go over the building blocks needed to
keep learning during the rest of the book.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Information
visualization; Data mining; Statistics; Data
processing; Probabilities; Computer algorithms;
Quantitative research; Computer algorithms; Data
mining; Information visualization; Data processing;
Quantitative research; R (Computer program language)",
tableofcontents = "Installing R and RStudio \\
Getting started with R and RStudio \\
R Basics \\
Programming basics \\
The tidyverse \\
Importing data \\
Introduction to data visualization \\
ggplot2 \\
Visualizing data distributions \\
Data visualization in practice \\
Data visualization principles \\
Robust summaries \\
Introduction to statistics with R \\
Probability \\
Random variables \\
Statistical inference \\
Statistical models \\
Regression \\
Linear models \\
Association is not causation \\
Introduction to data wrangling \\
Reshaping data \\
Joining tables \\
Web scraping \\
String processing \\
Parsing dates and times \\
Text mining \\
Introduction to machine learning \\
Smoothing \\
Cross validation \\
The caret package \\
Examples of algorithms \\
Machine learning in practice \\
Large datasets \\
Clustering \\
Introduction to productivty tools \\
Accessing the terminal and installing Git \\
Organizing with Unix \\
Git and GitHub \\
Reproducible projects with RStudio and R markdown",
}
@Article{Jaki:2019:RPM,
author = "Thomas Jaki and Philip Pallmann and Dominic Magirr",
title = "The {R} Package \pkg{MAMS} for Designing Multi-Arm
Multi-Stage Clinical Trials",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.i04",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088i04;
https://www.jstatsoft.org/index.php/jss/article/view/v088i04/v88i04.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Jalilian:2019:CSE,
author = "Abdollah Jalilian",
title = "Code Snippet: \pkg{ETAS}: An {R} Package for Fitting
the Space--Time {ETAS} Model to Earthquake Data",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.c01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088c01;
https://www.jstatsoft.org/index.php/jss/article/view/v088c01/v88c01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Kurt:2019:BSF,
author = "Will Kurt",
title = "{Bayesian} Statistics the Fun Way: Understanding
Statistics and Probability with {Star Wars}, {LEGO},
and Rubber Ducks",
publisher = pub-NO-STARCH,
address = pub-NO-STARCH:adr,
pages = "xxii + 234",
year = "2019",
ISBN = "1-59327-956-6",
ISBN-13 = "978-1-59327-956-1",
LCCN = "QA279.5",
bibdate = "Tue Feb 11 05:55:28 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "An introduction to Bayesian statistics with simple and
pop culture-based explanations. Topics covered include
measuring your own uncertainty in a belief, applying
Bayes' theorem, and calculating distributions.",
acknowledgement = ack-nhfb,
subject = "Bayesian statistical decision theory; Probabilities",
tableofcontents = "Intro \\
Brief Contents \\
Contents in Detail \\
Acknowledgments \\
Introduction \\
Why Learn Statistics? \\
What Is ``Bayesian'' Statistics? \\
What's in This Book \\
Part I: Introduction to Probability \\
Part II: Bayesian Probability and Prior Probabilities
\\
Part III: Parameter Estimation \\
Part IV: Hypothesis Testing: The Heart of Statistics
\\
Background for Reading the Book \\
Now Off on Your Adventure! \\
Part I: Introduction to Probability \\
Chapter 1: Bayesian Thinking and Everyday Reasoning \\
Reasoning About Strange Experiences \\
Observing Data \\
Holding Prior Beliefs and Conditioning Probabilities
\\
Forming a Hypothesis \\
Spotting Hypotheses in Everyday Speech \\
Gathering More Evidence and Updating Your Beliefs \\
Comparing Hypotheses \\
Data Informs Belief \\
Belief Should Not Inform Data \\
Wrapping Up \\
Exercises \\
Chapter 2: Measuring Uncertainty \\
What Is a Probability? \\
Calculating Probabilities by Counting Outcomes of
Events \\
Calculating Probabilities as Ratios of Beliefs \\
Using Odds to Determine Probability \\
Solving for the Probabilities \\
Measuring Beliefs in a Coin Toss \\
Wrapping Up \\
Exercises \\
Chapter 3: The Logic of Uncertainty \\
Combining Probabilities with AND \\
Solving a Combination of Two Probabilities \\
Applying the Product Rule of Probability \\
Example: Calculating the Probability of Being Late \\
Combining Probabilities with OR \\
Calculating OR for Mutually Exclusive Events \\
Using the Sum Rule for Non-Mutually Exclusive Events
\\
Example: Calculating the Probability of Getting a Hefty
Fine \\
Wrapping Up \\
Exercises \\
Chapter 4: Creating a Binomial Probability Distribution
\\
Structure of a Binomial Distribution \\
Understanding and Abstracting Out the Details of Our
Problem \\
Counting Our Outcomes with the Binomial Coefficient \\
Combinatorics: Advanced Counting with the Binomial
Coefficient \\
Calculating the Probability of the Desired Outcome \\
Example: Gacha Games \\
Wrapping Up \\
Exercises \\
Chapter 5: The Beta Distribution \\
A Strange Scenario: Getting the Data \\
Distinguishing Probability, Statistics, and Inference
\\
Collecting Data \\
Calculating the Probability of Probabilities \\
The Beta Distribution \\
Breaking Down the Probability Density Function \\
Applying the Probability Density Function to Our
Problem \\
Quantifying Continuous Distributions with Integration
\\
Reverse-Engineering the Gacha Game \\
Wrapping Up \\
Exercises \\
Part II: Bayesian Probability and Prior Probabilities
\\
Chapter 6: Conditional Probability \\
Introducing Conditional Probability \\
Why Conditional Probabilities Are Important \\
Dependence and the Revised Rules of Probability \\
Conditional Probabilities in Reverse and Bayes' Theorem
\\
Introducing Bayes' Theorem \\
Wrapping Up \\
Exercises \\
Chapter 7: Bayes' Theorem with LEGO \\
Working Out Conditional Probabilities Visually \\
Working Through the Math \\
Wrapping Up \\
Exercises \\
Chapter 8: The Prior, Likelihood, and Posterior of
Bayes' Theorem \\
The Three Parts \\
Investigating the Scene of a Crime",
}
@Article{Lanovaz:2019:CCT,
author = "M. J. Lanovaz and B. Adams",
title = "Comparing the Communication Tone and Responses of
Users and Developers in Two {R} Mailing Lists:
Measuring Positive and Negative Emails",
journal = j-IEEE-SOFTWARE,
volume = "36",
number = "5",
pages = "46--50",
month = sep # "\slash " # oct,
year = "2019",
CODEN = "IESOEG",
ISSN = "0740-7459 (print), 1937-4194 (electronic)",
ISSN-L = "0740-7459",
bibdate = "Wed Jun 3 14:56:06 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ieeesoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "IEEE Software",
journal-URL = "http://www.computer.org/portal/web/csdl/magazines/software",
}
@Book{Lantz:2019:MLR,
author = "Brett Lantz",
title = "Machine Learning with {R}",
publisher = pub-PACKT,
address = pub-PACKT:adr,
pages = "xiii + 437",
year = "2019",
ISBN = "1-78829-586-2 (paperback)",
ISBN-13 = "978-1-78829-586-4 (paperback)",
LCCN = "Q325.5 .L367 2019",
bibdate = "Fri Dec 13 19:04:42 MST 2019",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "A hands-on, readable guide to machine learning with R.
Whether you are an experienced R user or new to the
language, Brett Lantz teaches you everything you need
to uncover key insights and make new predictions. The
3rd edition features newer and better libraries, advice
on ethical and bias issues, and an introduction to deep
learning.",
acknowledgement = ack-nhfb,
tableofcontents = "Introducing machine learning \\
Managing and understanding data \\
Lazy learning: classification using nearest neighbors
\\
Probabilistic learning: classification using naive
Bayes \\
Divide and conquer: classification using decision trees
and rules \\
Forecasting numeric data: regression methods \\
Black box methods: neural networks and support vector
machines \\
Finding patterns: market basket analysis using
association rules \\
Finding groups of data: clustering with k-means \\
Evaluating model performance \\
Improving model performance \\
Specialized machine learning topics",
}
@Book{Long:2019:RCP,
author = "J. D. Long and Paul Teetor",
title = "{R} Cookbook: Proven Recipes for Data Analysis,
Statistics, and Graphics",
publisher = pub-ORA-MEDIA,
address = pub-ORA-MEDIA:adr,
edition = "Second",
pages = "xvii + 579",
year = "2019",
ISBN = "1-4920-4068-1 (paperback), 1-4920-4067-3 (e-book)",
ISBN-13 = "978-1-4920-4068-2 (paperback), 978-1-4920-4067-5
(e-book)",
LCCN = "QA276.45.R3 L66 2019",
bibdate = "Tue Feb 11 05:46:57 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/ora.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "With Early Release ebooks, you get books in their
earliest form-the author's raw and unedited content as
he or she writes-so you can take advantage of these
technologies long before the official release of these
titles. You'll also receive updates when significant
changes are made, new chapters are available, and the
final ebook bundle is released. With more than 275
practical recipes, this expanded edition helps you
perform data analysis with R quickly and efficiently.
The R language provides everything you need to do
statistical work, but its structure can be difficult to
master. These task-oriented recipes make you productive
with R immediately. Solutions range from basic tasks to
input and output, general statistics, graphics, and
linear regression. Each recipe addresses a specific
problem and includes a discussion that explains the
solution and provides insight into how it works. If
you're a beginner, R Cookbook will help get you
started. If you're an intermediate user, this book will
jog your memory and expand your horizons. You'll get
the job done faster and learn more about R in the
process. Create vectors, handle variables, and perform
other basic functions Simplify data input and output
Tackle data structures such as matrices, lists,
factors, and data frames Work with probability,
probability distributions, and random variables
Calculate statistics and confidence intervals and
perform statistical tests Create a variety of graphic
displays Build statistical models with linear
regressions and analysis of variance (ANOVA) Explore
advanced statistical techniques, such as finding
clusters in your data.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Mathematical
statistics; Graphic methods; Data processing;
Statistics; Multiple comparisons (Statistics); Data
processing.; Multiple comparisons (Statistics); R
(Computer program language)",
tableofcontents = "Getting started and getting help \\
Some basics \\
Navigating the software \\
Input and output \\
Data structures \\
Data transformations \\
Useful tricks \\
Beyond basic numerics and statistics \\
Time series analysis \\
Simple programming \\
R markdown and publishing",
}
@Article{Maus:2019:DTW,
author = "Victor Maus and Gilberto C{\^a}mara and Marius Appel
and Edzer Pebesma",
title = "\pkg{dtwSat}: Time-Weighted Dynamic Time Warping for
Satellite Image Time Series Analysis in {R}",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.i05",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088i05;
https://www.jstatsoft.org/index.php/jss/article/view/v088i05/v88i05.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Article{Peterson:2019:BRS,
author = "Adam Peterson",
title = "Book Review: {{\booktitle{Spatio-temporal statistics
with R}}, Wikle, Christopher K., Zammit-Mangion,
Andrew, Cressie, Noel, Boca Raton, FL: CRC Press,
2019}",
journal = j-BIOMETRICS,
volume = "75",
number = "4",
pages = "1414--1414",
month = dec,
year = "2019",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13179",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:49 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "05 December 2019",
}
@Book{Plant:2019:SDA,
author = "Richard E. Plant",
title = "Spatial Data Analysis in Ecology and Agriculture Using
{R}",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
edition = "Second",
pages = "xvii + 666",
year = "2019",
ISBN = "0-8153-9275-3 (hardcover), 1-351-18991-3 (e-book)",
ISBN-13 = "978-0-8153-9275-0 (hardcover), 978-1-351-18991-0
(e-book)",
LCCN = "S566.55 .P53 2019",
bibdate = "Sat Jun 27 09:32:01 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
abstract = "\booktitle{Spatial Data Analysis in Ecology and
Agriculture Using R}, 2nd Edition, provides practical
instruction on the use of the R programming language to
analyze spatial data arising from research in ecology,
agriculture, and environmental science. . Using data
sets from cultivated and uncultivated ecosystems, the
book guides the reader through the analysis of each
data set, including setting research objectives,
designing the sampling plan, data quality control,
exploratory and confirmatory data analysis, and drawing
scientific conclusions. Additional material to
accompany the book, on both analyzing satellite data
and on multivariate analysis, can be accessed at
[author's web site].",
acknowledgement = ack-nhfb,
subject = "Agriculture; Statistical methods; Spatial analysis; R;
Statistical methods.; R (Computer program language);
Spatial analysis.; {\"O}kologie; Landwirtschaft;
Raumdaten; Umweltdaten; R{\"a}umliche Statistik;
Programm",
}
@Article{Reese:2019:RGS,
author = "R. Allan Reese",
title = "{R} guides to statistics and graphics:
[{{\booktitle{Getting Started with R: An Introduction
for Biologists}, Beckerman, Andrew, Childs, Dylan and
Petchey, Owen; Oxford University Press; 256pp; February
2017; \pounds 22.99, \$34.95; ISBN 978-0-19-878784-6.
\booktitle{The New Statistics with R}, Hector, Andy;
Oxford University Press; 224pp; January 2015; \pounds
31.49, \$49.95; ISBN 978-0-19-872906-8. \booktitle{R
Graphics}, third edition, Murrell, Paul; Chapman and
Hall/CRC; 423pp; November 2018; \pounds 74.00, \$99.95;
ISBN 978-1-4987-8905-9}}]",
journal = j-SIGNIF,
volume = "16",
number = "2",
pages = "45--45",
month = apr,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1111/j.1740-9713.2019.01256.x",
ISSN = "1740-9705 (print), 1740-9713 (electronic)",
ISSN-L = "1740-9705",
bibdate = "Thu Aug 13 12:04:09 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/significance.bib",
acknowledgement = ack-nhfb,
ajournal = "Signif.",
fjournal = "Significance",
journal-URL = "https://rss.onlinelibrary.wiley.com/journal/17409713",
onlinedate = "01 April 2019",
}
@Article{Rieger:2019:BRM,
author = "Jonas Rieger",
title = "Book Review: {M{\'o}nica B{\'e}cue--Bertaut (2019):
\booktitle{Textual Data Science with R}}",
journal = j-STAT-PAPERS,
volume = "60",
number = "5",
pages = "1797--1798",
month = oct,
year = "2019",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-019-01126-7",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Mon Oct 14 07:29:25 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-019-01126-7",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Robert:2019:BRC,
author = "Christian Robert",
title = "Book Review: {{\booktitle{Computational Methods for
Numerical Analysis with R}}}",
journal = j-CHANCE,
volume = "32",
number = "1",
pages = "63--63",
year = "2019",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2019.1579600",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Sat Mar 16 12:05:32 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Chance: a magazine for people interested in the
analysis of data",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
onlinedate = "14 Mar 2019",
}
@Article{Sabbag:2019:BRH,
author = "Anelise G. Sabbag",
title = "Book Review: {{\booktitle{Handbook of Educational
Measurement and Psychometrics Using R}}, by Christopher
D. Desjardins and Okan Bulut. Boca Raton, FL: Chapman
\& Hall\slash CRC Press, 2018, xxiii + 302 pp., \$79.95
(H), ISBN: 978-1-4987-7013-2}",
journal = j-AMER-STAT,
volume = "73",
number = "4",
pages = "415--416",
year = "2019",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2019.1676110",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Sat Feb 29 18:40:44 MST 2020",
bibsource = "http://www.tandfonline.com/toc/utas20/73/4;
https://www.math.utah.edu/pub/tex/bib/amstat2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/00031305.2019.1676110",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "04 Nov 2019",
}
@Article{Sanchez:2019:BRT,
author = "Brisa N. S{\'a}nchez",
title = "Book Review: {{\booktitle{Textual data science with
R}}, B{\'e}cue--Bertaut, M{\'o}nica, Boca Raton: CRC
Press}",
journal = j-BIOMETRICS,
volume = "75",
number = "4",
pages = "1415--1416",
month = dec,
year = "2019",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13181",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:49 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "05 December 2019",
}
@Article{Shanmugam:2019:BRAa,
author = "Ramalingam Shanmugam",
title = "Book Review: {{\booktitle{Applied compositional data
analysis: with worked examples in R}}}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "89",
number = "16",
pages = "3165--3165",
year = "2019",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2019.1628880",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Thu Sep 5 06:32:30 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "31 Aug 2019",
}
@Article{Shou:2019:CRP,
author = "Yiyun Shou and Michael Smithson",
title = "\pkg{cdfquantreg}: An {R} Package for {CDF}-Quantile
Regression",
journal = j-J-STAT-SOFT,
volume = "88",
number = "??",
pages = "??--??",
month = "????",
year = "2019",
CODEN = "JSSOBK",
DOI = "https://doi.org/10.18637/jss.v88.i01",
ISSN = "1548-7660",
ISSN-L = "1548-7660",
bibdate = "Fri Mar 15 10:18:29 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatsoft.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.jstatsoft.org/index.php/jss/article/view/v088i01;
https://www.jstatsoft.org/index.php/jss/article/view/v088i01/v88i01.pdf",
acknowledgement = ack-nhfb,
journal-URL = "http://www.jstatsoft.org/",
}
@Book{Shumway:2019:TSD,
author = "Robert Shumway and David Stoffer",
title = "Time Series: a Data Analysis Approach Using {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xii + 259",
year = "2019",
ISBN = "0-367-22109-8 (hardcover), 0-429-27328-2 (e-book),
1-000-00156-3 (e-book)",
ISBN-13 = "978-0-367-22109-6 (hardcover), 978-0-429-27328-5
(e-book), 978-1-000-00156-3 (e-book)",
LCCN = "QA280 .S586 2019",
bibdate = "Thu Aug 13 17:28:55 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "The goals of this text are to develop the skills and
an appreciation for the richness and versatility of
modern time series analysis as a tool for analyzing
dependent data. A useful feature of the presentation is
the inclusion of nontrivial data sets illustrating the
richness of potential applications to problems in the
biological, physical, and social sciences as well as
medicine. The text presents a balanced and
comprehensive treatment of both time and frequency
domain methods with an emphasis on data analysis.
Numerous examples using data illustrate solutions to
problems such as discovering natural and anthropogenic
climate change, evaluating pain perception experiments
using functional magnetic resonance imaging, and the
analysis of economic and financial problems. The text
can be used for a one semester/quarter introductory
time series course where the prerequisites are an
understanding of linear regression, basic
calculus-based probability skills, and math skills at
the high school level. All of the numerical examples
use the R statistical package without assuming that the
reader has previously used the software. Robert H.
Shumway is Professor Emeritus of Statistics, University
of California, Davis. He is a Fellow of the American
Statistical Association and has won the American
Statistical Association Award for Outstanding
Statistical Application. He is the author of numerous
texts and served on editorial boards such as the
Journal of Forecasting and the Journal of the American
Statistical Association. David S. Stoffer is Professor
of Statistics, University of Pittsburgh. He is a Fellow
of the American Statistical Association and has won the
American Statistical Association Award for Outstanding
Statistical Application. He is currently on the
editorial boards of the Journal of Forecasting, the
Annals of Statistical Mathematics, and the Journal of
Time Series Analysis. He served as a Program Director
in the Division of Mathematical Sciences at the
National Science Foundation and as an Associate Editor
for the Journal of the American Statistical Association
and the Journal of Business and Economic Statistics.",
acknowledgement = ack-nhfb,
subject = "R (Computer program language); Time-series analysis;
Textbooks; Data processing",
}
@Article{Sievert:2019:EGL,
author = "Carson Sievert and Susan VanderPlas and Jun Cai and
Kevin Ferris and Faizan Uddin Fahad Khan and Toby Dylan
Hocking",
title = "Extending \pkg{ggplot2} for Linked and Animated {Web}
Graphics",
journal = j-J-COMPUT-GRAPH-STAT,
volume = "28",
number = "2",
pages = "299--308",
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1080/10618600.2018.1513367",
ISSN = "1061-8600 (print), 1537-2715 (electronic)",
ISSN-L = "1061-8600",
bibdate = "Sat Sep 7 07:55:06 MDT 2019",
bibsource = "http://www.amstat.org/publications/jcgs/;
https://www.math.utah.edu/pub/tex/bib/jcomputgraphstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational and Graphical Statistics",
journal-URL = "http://www.tandfonline.com/loi/ucgs20",
onlinedate = "05 Nov 2018",
}
@Article{Vidoni:2019:RRP,
author = "Melina Vidoni and Aldo Vecchietti",
title = "{``\pkg{rsppfp}''}: an {R} package for the shortest
path problem with forbidden paths",
journal = j-SOFTWAREX,
volume = "9",
number = "??",
pages = "265--270",
month = jan # "\slash " # jun,
year = "2019",
CODEN = "????",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Mon Oct 14 09:45:43 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711018300955",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Book{Wickham:2019:AR,
author = "Hadley Wickham",
title = "Advanced {R}",
publisher = pub-CRC,
address = pub-CRC:adr,
edition = "Second",
pages = "xv + 587",
year = "2019",
DOI = "https://doi.org/10.1201/9781351201315",
ISBN = "0-367-25537-5 (hardcover), 0-8153-8457-2 (paperback),
1-351-20128-X (Mobipocket), 1-351-20129-8 (EPUB),
1-351-20130-1 (PDF), 1-351-20131-X (e-book),
1-4665-8697-4 (e-book)",
ISBN-13 = "978-0-367-25537-4 (hardcover), 978-0-8153-8457-1
(paperback), 978-1-351-20128-5 (Mobipocket),
978-1-351-20129-2 (EPUB), 978-1-351-20130-8 (PDF),
978-1-351-20131-5 (e-book), 978-1-4665-8697-0
(e-book)",
LCCN = "QA276.45.R3 W5 2019",
bibdate = "Tue Feb 11 06:12:48 MST 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "The R series",
acknowledgement = ack-nhfb,
author-dates = "1979--",
subject = "R (Computer program language); R (Computer program
language); Analyse des donn{\'e}es.; Langages de
programmation.; R (logiciel)",
tableofcontents = "Preface \\
1: Introduction \\
Why R? Who should read this book \\
What you will get out of this book \\
What you will not learn \\
Meta-techniques \\
Recommended reading \\
Getting help Acknowledgments \\
Conventions \\
Colophon \\
I. Foundations \\
Introduction \\
2: Names and values \\
Introduction \\
Binding basics \\
Copy-on-modify \\
Object size \\
Modify-in-place \\
Unbinding and the garbage collector \\
Quiz answers \\
3: Vectors \\
Introduction \\
Atomic vectors \\
Attributes \\
S3 atomic vectors \\
Lists \\
Data frames and tibbles \\
NULL \\
Answers \\
4: Subsetting \\
Introduction \\
Selecting multiple elements Selecting a single element
\\
Subsetting and assignment \\
Applications \\
Quiz answers \\
5: Control flow \\
Introduction \\
Choices \\
Loops \\
Quiz answers \\
6: Functions \\
Introduction \\
Function fundamentals \\
Function composition \\
Lexical scoping \\
Lazy evaluation \\
\ldots{} (dot-dot-dot) \\
Exiting a function \\
Function forms \\
Quiz answers \\
7: Environments \\
Introduction \\
Environment basics \\
Recursing over environments \\
Special environments \\
Call stacks \\
As data structures \\
Quiz answers \\
8: Conditions \\
Introduction \\
Signalling conditions \\
Ignoring conditions \\
Handling conditions \\
Custom conditions \\
Applications \\
Quiz answers \\
II. Functional programming \\
Introduction \\
9: Functionals \\
Introduction \\
My first functional: map() \\
Purrr style \\
Map variants \\
Reduce family \\
Predicate functionals \\
Base functionals \\
10: Function factories \\
Introduction \\
Factory fundamentals \\
Graphical factories \\
Statistical factories \\
Function factories + functionals \\
11: Function operators \\
Introduction \\
Existing function operators \\
Case study: creating your own function operators \\
III. Object oriented programming \\
Introduction \\
12: Base types \\
Introduction \\
Base vs OO objects \\
Base types \\
13: S3 \\
Introduction \\
Basics \\
Classes \\
Generics and methods \\
Object styles \\
Inheritance \\
Dispatch details \\
14: R6 \\
Introduction \\
Classes and methods \\
Controlling access \\
Reference semantics \\
Why R6 \\
15: S4 \\
Introduction \\
Basics \\
Classes \\
Generics and methods \\
Method dispatch \\
S4 and S3 \\
16: Trade-offs \\
Introduction \\
S4 vs S3 \\
R6 vs S3 \\
IV. Metaprogramming \\
Introduction \\
17: Big picture \\
Introduction \\
Code is data \\
Code is a tree \\
Code can generate code \\
Evaluation runs code \\
Customising evaluation with functions \\
Customising evaluation with data Quosures \\
18: Expressions \\
Introduction \\
Abstract syntax trees \\
Expressions \\
Parsing and grammar \\
Walking the AST with recursive functions \\
Specialised data structures \\
19: Quasiquotation \\
Introduction \\
Motivation \\
Quoting \\
Unquoting \\
Non-quoting \\
\ldots{}(dot-dot-dot) \\
Case studies \\
History \\
20: Evaluation \\
Introduction \\
Evaluation basics \\
Quosures \\
Data masks \\
Using tidy evaluation \\
Base evaluation \\
21: Translating R code \\
Introduction \\
HTML \\
\LaTeX{} \\
V. Techniques \\
Introduction \\
22: Debugging \\
Introduction \\
Overall approach \\
Locating errors \\
Interactive debugger \\
Non-interactive debugging \\
Non-error failures \\
23: Measuring performance \\
Introduction \\
Profiling \\
Microbenchmarking \\
24: Improving performance \\
Introduction \\
Code organisation \\
Check for existing solutions \\
Do as little as possible \\
Vectorise \\
Avoid copies \\
Case study: t-test \\
Other techniques \\
25: Rewriting R code in C++ \\
Introduction \\
Getting started with C++ \\
Other classes \\
Missing values \\
The Standard Template Library \\
Case studies Using Rcpp in a package Learning more \\
[n/a] \\
Acknowledgments",
}
@Book{Wikle:2019:STS,
author = "Christopher K. Wikle and Andrew Zammit-Mangion and
Noel A. C. Cressie",
title = "Spatio-temporal Statistics with {R}",
publisher = "CRC Press, Taylor and Francis Group",
address = "Boca Raton, FL, USA",
pages = "v + 380",
year = "2019",
DOI = "https://doi.org/10.1201/9781351769723",
ISBN = "1-138-71113-6 (hardcover), 0-429-64978-9 (PDF),
1-351-76972-3 (e-book)",
ISBN-13 = "978-1-138-71113-6 (hardcover), 978-0-429-64978-3
(PDF), 978-1-351-76972-3 (e-book)",
LCCN = "QA278.2 .W55 2019",
bibdate = "Sat Jun 27 09:18:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Chapman and Hall/CRC the R series",
abstract = "The world is becoming increasingly complex, with
larger quantities of data available to be analyzed. It
so happens that much of these 'big data' that are
available are spatio-temporal in nature, meaning that
they can be indexed by their spatial locations and time
stamps. \booktitle{Spatio-Temporal Statistics with R}
provides an accessible introduction to statistical
analysis of spatio-temporal data, with hands-on
applications of the statistical methods using R Labs
found at the end of each chapter. The book: Gives a
step-by-step approach to analyzing spatio-temporal
data, starting with visualization, then statistical
modelling, with an emphasis on hierarchical statistical
models and basis function expansions, and finishing
with model evaluation Provides a gradual entry to the
methodological aspects of spatio-temporal statistics
Provides broad coverage of using R as well as `R Tips'
throughout. Features detailed examples and applications
in end-of-chapter Labs. Features ``Technical Notes''
throughout to provide additional technical detail where
relevant Supplemented by a website featuring the
associated R package, data, reviews, errata, a
discussion forum, and more The book fills a void in the
literature and available software, providing a bridge
for students and researchers alike who wish to learn
the basics of spatio-temporal statistics. It is written
in an informal style and functions as a down-to-earth
introduction to the subject. Any reader familiar with
calculus-based probability and statistics, and who is
comfortable with basic matrix-algebra representations
of statistical models, would find this book easy to
follow. The goal is to give as many people as possible
the tools and confidence to analyze spatio-temporal
data.",
acknowledgement = ack-nhfb,
subject = "Spatial analysis (Statistics); Statistics; R (Computer
program language); Analyse spatiale (Statistique); R
(Langage de programmation); Statistiques; R (Computer
program language); Spatial analysis (Statistics);
Statistics.; Analyse spatiale (statistique); Analyse
spatiale (statistique); R (logiciel); Statistique
math{\'e}matique.",
tableofcontents = "Introduction to spatio-temporal statistics \\
Exploring spatio-temporal data \\
Spatio-temporal statistical models \\
Descriptive spatio-temporal statistical models \\
Dynamic spatio-temporal models \\
Evaluating spatio-temporal statistical models \\
Pergimus (epilogue) \\
Appendices",
}
@Book{Xie:2019:RMD,
author = "Yihui Xie and J. J. Allaire and Garrett Grolemund",
title = "{R} Markdown: the definitive guide",
publisher = "Taylor and Francis, CRC Press",
address = "Boca Raton, FL, USA",
pages = "303",
year = "2019",
ISBN = "1-138-35933-5",
ISBN-13 = "978-1-138-35933-8",
LCCN = "TK5105.8885.M39 X393 2018",
bibdate = "Thu Aug 13 17:23:37 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
subject = "Web site development; Computer programs; Markdown
(Document markup language); R (Computer program
language); Markdown (Document markup language); R
(Computer program language); Computer programs; Sites
Web; D{\'e}veloppement; Langages de programmation",
tableofcontents = "Preface \\
About the Authors \\
Part I Get Started \\
Chapter 1 Installation \\
Chapter 2 Basics \\
2.1 Example applications \\
2.1.1 Airbnb's knowledge repository \\
2.1.2 Homework assignments on RPubs \\
2.1.3 Personalized mail \\
2.1.4 2017 Employer Health Benefits Survey \\
2.1.5 Journal articles \\
2.1.6 Dashboards at eelloo \\
2.1.7 Books \\
2.1.8 Websites \\
2.2 Compile an R Markdown document \\
2.3 Cheat sheets \\
2.4 Output formats \\
2.5 Markdown syntax \\
2.5.1 Inline formatting \\
2.5.2 Block-level elements \\
2.5.3 Math expressions \\
2.6 R code chunks and inline R code \\
2.6.1 Figures \\
2.6.2 Tables \\
2.7 Other language engines \\
2.7.1 Python \\
2.7.2 Shell scripts \\
2.7.3 SQL \\
2.7.4 Rcpp \\
2.7.5 Stan \\
2.7.6 JavaScript and CSS \\
2.7.7 Julia \\
2.7.8 C and Fortran \\
2.8 Interactive documents \\
2.8.1 HTML widgets \\
2.8.2 Shiny documents \\
Part II Output Formats \\
Chapter 3 Documents \\
3.1 HTML document \\
3.1.1 Table of contents \\
3.1.2 Section numbering \\
3.1.3 Tabbed sections \\
3.1.4 Appearance and style \\
3.1.5 Figure options \\
3.1.6 Data frame printing \\
3.1.7 Code folding \\
3.1.8 MathJax equations \\
3.1.9 Document dependencies \\
3.1.10 Advanced customization \\
3.1.11 Shared options \\
3.1.12 HTML fragments \\
3.2 Notebook \\
3.2.1 Using Notebooks \\
3.2.2 Saving and sharing \\
3.2.3 Notebook format \\
3.3 PDF document \\
3.3.1 Table of contents \\
3.3.2 Figure options \\
3.3.3 Data frame printing \\
3.3.4 Syntax highlighting \\
3.3.5 \LaTeX{} options \\
3.3.6 \LaTeX{} packages for citations \\
3.3.7 Advanced customization \\
3.3.8 Other features \\
3.4 Word document \\
3.4.1 Other features \\
3.5 OpenDocument Text document \\
3.5.1 Other features \\
3.6 Rich Text Format document \\
3.6.1 Other features \\
3.7 Markdown document \\
3.7.1 Markdown variants \\
3.7.2 Other features \\
3.8 R package vignette \\
Chapter 4 Presentations \\
4.1 ioslides presentation \\
4.1.1 Display modes \\
4.1.2 Incremental bullets \\
4.1.3 Visual appearance \\
4.1.4 Code highlighting \\
4.1.5 Adding a logo \\
4.1.6 Tables \\
4.1.7 Advanced layout \\
4.1.8 Text color \\
4.1.9 Presenter mode \\
4.1.10 Printing and PDF output \\
4.1.11 Custom templates \\
4.1.12 Other features \\
4.2 Slidy presentation \\
4.2.1 Display modes \\
4.2.2 Text size \\
4.2.3 Footer elements \\
4.2.4 Other features \\
4.3 Beamer presentation \\
4.3.1 Themes \\
4.3.2 Slide level \\
4.3.3 Other features \\
4.4 PowerPoint presentation \\
4.4.1 Custom templates \\
4.4.2 Other features \\
Part III Extensions \\
Chapter 5 Dashboards \\
5.1 Layout \\
5.1.1 Row-based layouts \\
5.1.2 Attributes on sections \\
5.1.3 Multiple pages \\
5.1.4 Story boards \\
5.2 Components \\
5.2.1 Value boxes \\
5.2.2 Gauges \\
5.2.3 Text annotations \\
5.2.4 Navigation bar \\
5.3 Shiny \\
5.3.1 Getting started \\
5.3.2 A Shiny dashboard example \\
5.3.3 Input sidebar \\
5.3.4 Learning more \\
Chapter 6 Tufte Handouts \\
6.1 Headings \\
6.2 Figures \\
6.2.1 Margin figures \\
6.2.2 Arbitrary margin content \\
6.2.3 Full-width figures \\
6.2.4 Main column figures \\
6.3 Sidenotes \\
6.4 References \\
6.5 Tables \\
6.6 Block quotes \\
6.7 Responsiveness \\
6.8 Sans-serif fonts and epigraphs \\
6.9 Customize CSS styles \\
Chapter 7 xaringan Presentations \\
7.1 Get started \\
7.2 Keyboard shortcuts \\
7.3 Slide formatting \\
7.3.1 Slides and properties \\
7.3.2 The title slide \\
7.3.3 Content classes \\
7.3.4 Incremental slides \\
7.3.5 Presenter notes \\
7.3.6 yolo: true \\
7.4 Build and preview slides \\
7.5 CSS and themes \\
7.6 Some tips \\
7.6.1 Autoplay slides \\
7.6.2 Countdown timer \\
7.6.3 Highlight code lines \\
7.6.4 Working offline \\
7.6.5 Macros \\
7.6.6 Disadvantages \\
Chapter 8 reveal.js Presentations \\
8.1 Display modes \\
8.2 Appearance and style \\
8.2.1 Smaller text \\
8.3 Slide transitions \\
8.4 Slide backgrounds \\
8.5 2-D presenations \\
8.6 Custom CSS \\
8.6.1 Slide IDs and classes \\
8.6.2 Styling text spans \\
8.7 reveal.js options \\
8.8 reveal.js plugins \\
8.9 Other features \\
Chapter 9 Community Formats \\
9.1 Lightweight Pretty HTML Documents \\
9.1.1 Usage \\
9.1.2 Package vignettes \\
9.2 The rmdformats package \\
9.3 Shower presentations \\
Chapter 10 Websites \\
10.1 Get started \\
10.2 The directory structure \\
10.3 Deployment \\
10.4 Other site generators \\
10.5 rmarkdown's site generator \\
10.5.1 A simple example \\
10.5.2 Site authoring \\
10.5.3 Common elements \\
10.5.4 Site navigation \\
10.5.5 HTML generation \\
10.5.6 Site configuration \\
10.5.7 Publishing websites \\
10.5.8 Additional examples \\
10.5.9 Custom site generators \\
Chapter 11 HTML Documentation for R Packages \\
11.1 Get started \\
11.2 Components \\
11.2.1 Home page \\
11.2.2 Function reference \\
11.2.3 Articles \\
11.2.4 News \\
11.2.5 Navigation bar \\
Chapter 12 Books \\
12.1 Get started \\
12.2 Project structure \\
12.2.1 Index file \\
12.2.2 Rmd files \\
12.2.3 \_bookdown.yml \\
12.2.4 \_output.yml \\
12.3 Markdown extensions \\
12.3.1 Number and reference equations \\
12.3.2 Theorems and proofs \\
12.3.3 Special headers \\
12.3.4 Text references \\
12.3.5 Cross referencing \\
12.4 Output Formats \\
12.4.1 HTML \\
12.4.2 \LaTeX{}\slash PDF \\
12.4.3 E-books \\
12.4.4 A single document \\
12.5 Editing \\
12.5.1 Build the book \\
12.5.2 Preview a chapter \\
12.5.3 Serve the book \\
12.5.4 RStudio addins \\
12.6 Publishing \\
12.6.1 RStudio Connect \\
12.6.2 Other services \\
12.6.3 Publishers \\
Chapter 13 Journals \\
13.1 Get started \\
13.2 rticles templates \\
13.3 Using a template \\
13.4 \LaTeX{} content \\
13.5 Linking with bookdown \\
13.6 Contributing templates \\
Chapter 14 Interactive Tutorials \\
14.1 Get started \\
14.2 Tutorial types \\
14.3 Exercises \\
14.3.1 Solutions \\
14.3.2 Hints \\
14.4 Quiz questions \\
14.5 Videos \\
14.6 Shiny components \\
14.7 Navigation and progress tracking \\
Part IV Other Topics \\
Chapter 15 Parameterized reports \\
15.1 Declaring parameters \\
15.2 Using parameters \\
15.3 Knitting with parameters \\
15.3.1 The Knit button \\
15.3.2 Knit with custom parameters \\
15.3.3 The interactive user interface \\
15.4 Publishing \\
Chapter 16 HTML Widgets \\
16.1 Overview \\
16.2 A widget example (sigma.js) \\
16.2.1 File layout \\
16.2.2 Dependencies \\
16.2.3 R binding \\
16.2.4 JavaScript binding \\
16.2.5 Demo \\
16.3 Creating your own widgets \\
16.3.1 Requirements \\
16.3.2 Scaffolding \\
16.3.3 Other packages \\
16.4 Widget sizing \\
16.4.1 Specifying a sizing policy \\
16.4.2 JavaScript resize method \\
16.5 Advanced topics \\
16.5.1 Data transformation \\
16.5.2 Passing JavaScript functions \\
16.5.3 Custom widget HTML \\
16.5.4 Create a widget without an R package \\
Chapter 17 Document Templates \\
17.1 Template structure \\
17.2 Supporting files \\
17.3 Custom Pandoc templates \\
17.4 Sharing your templates \\
Chapter 18 Creating New Formats \\
18.1 Deriving from built-in formats \\
18.2 Fully custom formats \\
18.3 Using a new format \\
Chapter 19 Shiny Documents \\
19.1 Getting started \\
19.2 Deployment \\
19.2.1 ShinyApps.io \\
19.2.2 Shiny Server / RStudio Connect \\
19.3 Embedded Shiny apps \\
19.3.1 Inline applications \\
19.3.2 External applications \\
19.4 Shiny widgets \\
19.4.1 The shinyApp() function \\
19.4.2 Example: $k$-Means clustering \\
19.4.3 Widget size and layout \\
19.5 Multiple pages \\
19.6 Delayed rendering \\
19.7 Output arguments for render functions \\
19.7.1 A caveat \\
Bibliography \\
Index",
}
@Article{Xu:2019:RPM,
author = "Cong Xu and Zheng Li and Yuan Xue and Lijun Zhang and
Ming Wang",
title = "An {R} package for model fitting, model selection and
the simulation for longitudinal data with dropout
missingness",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "48",
number = "9",
pages = "2812--2829",
year = "2019",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2018.1468457",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Fri Dec 13 06:01:32 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "30 Apr 2019",
}
@Article{Zhang:2019:RPA,
author = "Qihuang Zhang and Grace Y. Yi",
title = "{R} package for analysis of data with mixed
measurement error and misclassification in covariates:
\pkg{augSIMEX}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "89",
number = "12",
pages = "2293--2315",
year = "2019",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2019.1615911",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Sat Jun 1 07:56:02 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "14 May 2019",
}
@Article{Zhu:2019:IRL,
author = "Bing Zhu and Zihan Gao and Junkai Zhao and Seppe K. L.
M. vanden Broucke",
title = "\pkg{IRIC}: an {R} library for binary imbalanced
classification",
journal = j-SOFTWAREX,
volume = "10",
number = "??",
pages = "Article 100341",
month = jul # "\slash " # dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2019.100341",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:36 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711019301700",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Ahsen:2020:PRP,
author = "Mehmet Eren Ahsen and Robert Vogel and Gustavo A.
Stolovitzky",
title = "\pkg{R\slash PY-SUMMA}: an {R\slash Python} Package
for Unsupervised Ensemble Learning for Binary
Classification Problems in Bioinformatics",
journal = j-J-COMPUT-BIOL,
volume = "27",
number = "9",
pages = "1337--1340",
month = sep,
year = "2020",
CODEN = "JCOBEM",
DOI = "https://doi.org/10.1089/cmb.2019.0348",
ISSN = "1066-5277 (print), 1557-8666 (electronic)",
ISSN-L = "1066-5277",
bibdate = "Wed Mar 31 17:23:54 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputbiol.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.liebertpub.com/doi/abs/10.1089/cmb.2019.0348;
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0348",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational Biology",
journal-URL = "https://www.liebertpub.com/loi/cmb/",
onlinedate = "3 January 2020",
}
@Article{Albayrak:2020:KRP,
author = "Muammer Albayrak and Kemal Turhan and Yasemin Yavuz
and Zeliha Aydin Kasap",
title = "\pkg{kaphom}: an {R} package for testing the
homogeneity of intra-class kappa statistics",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "49",
number = "12",
pages = "3283--3298",
year = "2020",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2018.1538457",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Wed Mar 10 11:55:50 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput20.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "22 Jan 2019",
}
@Article{Aldridge:2020:CSB,
author = "Caleb A. Aldridge",
title = "Computing Skills Beyond {R} for Fisheries Students",
journal = j-FISHERIES,
volume = "45",
number = "3",
pages = "116--120",
month = mar,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1002/fsh.10392",
ISSN = "0363-2415 (print), 1548-8446 (electronic)",
ISSN-L = "0363-2415",
bibdate = "Fri Mar 4 20:05:31 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fisheries.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://afspubs.onlinelibrary.wiley.com/doi/10.1002/fsh.10392",
acknowledgement = ack-nhfb,
ajournal = "Fisheries",
fjournal = "Fisheries",
journal-URL = "https://afspubs.onlinelibrary.wiley.com/loi/15488446",
onlinedate = "25 March 2020",
}
@Article{Alhamzawi:2020:BRP,
author = "Rahim Alhamzawi and Haithem Taha Mohammad Ali",
title = "\pkg{Brq}: an {R} package for {Bayesian} quantile
regression",
journal = j-METRON,
volume = "78",
number = "3",
pages = "313--328",
month = dec,
year = "2020",
CODEN = "MRONAM",
DOI = "https://doi.org/10.1007/s40300-020-00190-6",
ISSN = "0026-1424 (print), 2281-695X (electronic)",
ISSN-L = "0026-1424",
bibdate = "Fri Feb 5 15:45:54 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/metron2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s40300-020-00190-6",
acknowledgement = ack-nhfb,
fjournal = "Metron",
journal-URL = "https://www.springer.com/journal/40300",
online-date = "Published: 27 October 2020 Pages: 313 - 328",
}
@Article{Ardito:2020:PRP,
author = "Luca Ardito and Marco Torchiano and Riccardo Coppola
and Giulio Antoniol",
title = "\pkg{PowTrAn}: an {R} package for power trace
analysis",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100512",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100512",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271102030025X",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Ayala:2020:RLN,
author = "Helon Vicente Hultmann Ayala and Marcos Cesar Gritti
and Leandro dos Santos Coelho",
title = "An {R} library for nonlinear black-box system
identification",
journal = j-SOFTWAREX,
volume = "11",
number = "??",
pages = "Article 100495",
month = jan # "\slash " # jun,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100495",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:39 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711019302663",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Bub:2020:XRP,
author = "Sascha Bub and Thorsten Schad and Zhenglei Gao",
title = "\pkg{XDrift} --- an {R} package to simulate spatially
explicit pesticide spray-drift exposure of
non-target-species habitats at landscape scales",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100610",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100610",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271102030323X",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Castelluzzo:2020:MQD,
author = "Michele Castelluzzo and Alessio Perinelli and Simone
Detassis and Michela Alessandra Denti and Leonardo
Ricci",
title = "\pkg{{MiRNA}-{QC}-and-Diagnosis}: an {R} package for
diagnosis based on {MiRNA} expression",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100569",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100569",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711020301977",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Chambers:2020:RDS,
author = "John M. Chambers",
title = "{S}, {R}, and data science",
journal = j-PACMPL,
volume = "4",
number = "HOPL",
pages = "84:1--84:17",
month = jun,
year = "2020",
DOI = "https://doi.org/10.1145/3386334",
bibdate = "Fri Aug 7 17:39:13 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/pacmpl.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3386334",
abstract = "Data science is increasingly important and
challenging. It requires computational tools and
programming environments that handle big data and
difficult computations, while supporting creative,
high-quality analysis. The R language and related
software play a major role in computing for data
science. R is featured in most programs for training in
the field. R packages provide tools for a wide range of
purposes and users. The description of a new technique,
particularly from research in statistics, is frequently
accompanied by an R package, greatly increasing the
usefulness of the description.\par
The history of R makes clear its connection to data
science. R was consciously designed to replicate in
open-source software the contents of the S software. S
in turn was written by data analysis researchers at
Bell Labs as part of the computing environment for
research in data analysis and collaborations to apply
that research, rather than as a separate project to
create a programming language. The features of S and
the design decisions made for it need to be understood
in this broader context of supporting effective data
analysis (which would now be called data science).
These characteristics were all transferred to R and
remain central to its effectiveness. Thus, R can be
viewed as based historically on a domain-specific
language for the domain of data science.",
acknowledgement = ack-nhfb,
articleno = "84",
fjournal = "Proceedings of the ACM on Programming Languages",
journal-URL = "https://pacmpl.acm.org/",
remark-1 = "Figure 1, page 846, identifies the date of the first
presentation about the S system as 5 May 1976.",
remark-2 = "From page 84:8: ``We took advantage of the popularity
of Unix and its adoption on many platforms to define
portable S to be a Unix implementation. Non-portable
operations such as loading the code for functions and
transferring control to them were re-implemented in C
for Unix. This was technically a second version of S
but retaining the existing user and interface
languages, with only a few changes in individual
functions. Unix did us a second important service.
Through negotiations with the appropriate legal
organizations at Bell Labs, Unix was licensed for
distribution outside AT\&T. We were able to arrange for
similar licensing of S.''",
remark-3 = "From page 84:15: ``After the official launch of R in
2000, open-source R gradually became the dominant
source of new software for statistics and data science.
S-Plus continued as a commercial product. However, by
late 2000 the Bell Labs researchers still involved with
S, Duncan Temple Lang [Temple Lang 1997] and the
present author, had both accepted invitations to join R
Core. By the start of the 21st century, the evolution
of Bell Labs' S had ended.''",
remark-4 = "Personal communication between the bibliographer
(NHFB) and John Chambers on 11 June 2024 reported that
customers received only a binary license for S; the
source code of S was not distributed to them, and
appears to have been lost.",
}
@Article{Chowdhury:2020:BRN,
author = "Mohammed Chowdhury",
title = "Book Review: {{\booktitle{Nonparametric models for
longitudinal data: With implementation in R}}, Wu,
Colin O., Tian, Xin, Boca Raton, FL: CRC Press}",
journal = j-BIOMETRICS,
volume = "76",
number = "1",
pages = "363--364",
month = mar,
year = "2020",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13223",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "11 March 2020",
}
@Article{Daneshgar:2020:WAR,
author = "Neda Daneshgar and Majid Sarmad",
title = "\pkg{word.alignment}: an {R} package for computing
statistical word alignment and its evaluation",
journal = j-COMP-STAT,
volume = "35",
number = "4",
pages = "1597--1619",
month = dec,
year = "2020",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-020-00979-z",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Wed Mar 31 14:59:17 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-020-00979-z",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
online-date = "Published: 23 March 2020 Pages: 1597 - 1619",
}
@Book{Demidenko:2020:ASA,
author = "Eugene Demidenko",
title = "Advanced Statistics with Applications in {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xvii + 856",
year = "2020",
ISBN = "1-118-38798-8 (hardcover), 1-118-59413-4 (PDF),
1-118-59461-4 (ePub), 1-119-44919-7 (e-book),",
ISBN-13 = "978-1-118-38798-6 (hardcover), 978-1-118-59413-1
(PDF), 978-1-118-59461-2 (ePub), 978-1-119-44919-5
(e-book),",
LCCN = "QA276.45.R3",
bibdate = "Mon Jun 7 09:47:46 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "\booktitle{Advanced Statistics with Applications in R}
fills the gap between several excellent theoretical
statistics textbooks and many applied statistics books
where teaching reduces to using existing packages. This
book looks at what is under the hood. Many statistics
issues including the recent crisis with p-value are
caused by misunderstanding of statistical concepts due
to poor theoretical background of practitioners and
applied statisticians. This book is the product of a
forty-year experience in teaching of probability and
statistics and their applications for solving real-life
problems. There are more than 442 examples in the book:
basically every probability or statistics concept is
illustrated with an example accompanied with an R code.
Many examples, such as Who said p? What team is better?
The fall of the Roman empire, James Bond chase problem,
Black Friday shopping, Free fall equation: Aristotle or
Galilei, and many others are intriguing. These examples
cover biostatistics, finance, physics and engineering,
text and image analysis, epidemiology, spatial
statistics, sociology, etc. \booktitle{Advanced
Statistics with Applications in R} teaches students to
use theory for solving real-life problems through
computations: there are about 500 R codes and 100
datasets. These data can be freely downloaded from the
author's website dartmouth.edu/eugened. This book is
suitable as a text for senior undergraduate students
with major in statistics or data science or graduate
students. Many researchers who apply statistics on the
regular basis find explanation of many fundamental
concepts from the theoretical perspective illustrated
by concrete real-world applications.",
acknowledgement = ack-nhfb,
author-dates = "1948--",
subject = "Mathematical statistics; Data processing; Problems,
exercises, etc; Statistics; R (Computer program
language); Data processing.; R (Computer program
language)",
tableofcontents = "Discrete random variables \\
Continuous random variables \\
Multivariate random variables \\
Important fistributions in statistics \\
Preliminary data analysis and visualization \\
Parameter estimation \\
Hypothesis testing and confidence interval \\
Linear model and its extensions \\
Nonlinear regression \\
Appendices",
}
@Article{Diaz-Coto:2020:SRP,
author = "Susana D{\'\i}az-Coto and Pablo Mart{\'\i}nez-Camblor
and Sonia P{\'e}rez-Fern{\'a}ndez",
title = "\pkg{smoothROCtime}: an {R} package for time-dependent
{ROC} curve estimation",
journal = j-COMP-STAT,
volume = "35",
number = "3",
pages = "1231--1251",
month = sep,
year = "2020",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-020-00955-7",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Wed Mar 31 14:59:16 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-020-00955-7",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
online-date = "Published: 20 January 2020 Pages: 1231 - 1251",
}
@Article{Fortin:2020:BRS,
author = "Marie-Jos{\'e}e Fortin",
title = "Book Review: {{\booktitle{Spatial data analysis in
ecology and agriculture using R}}, Plant, Richard E.,
Boca Raton, FL: CRC Press, 2019}",
journal = j-BIOMETRICS,
volume = "76",
number = "1",
pages = "362--362",
month = mar,
year = "2020",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13225",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "11 March 2020",
}
@Article{Fox:2020:PPR,
author = "Nathan Fox and Tom August and Francesca Mancini and
Katherine E. Parks and Felix Eigenbrod and James M.
Bullock and Louis Sutter and Laura J. Graham",
title = "{``\pkg{photosearcher}''} package in {R}: an
accessible and reproducible method for harvesting large
datasets from {Flickr}",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100624",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100624",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271102030337X",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Francq:2020:TAT,
author = "Bernard G. Francq and Marion Berger and Charles
Boachie",
title = "To tolerate or to agree: a tutorial on tolerance
intervals in method comparison studies with
\pkg{BivRegBLS} {R} Package",
journal = j-STAT-MED,
volume = "39",
number = "28",
pages = "4334--4349",
day = "10",
month = dec,
year = "2020",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.8709",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Thu Jan 14 10:56:04 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2020.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "23 September 2020",
}
@Book{Gerbing:2020:RVD,
author = "David Gerbing",
title = "{R} Visualizations: Derive Meaning from Data",
publisher = "CRC Press LLC",
address = "Milton, UK",
pages = "237",
year = "2020",
DOI = "https://doi.org/10.1201/9780429470837",
ISBN = "0-429-89491-0 (e-book), 0-429-89492-9 (e-book),
1-138-59963-8 (hardcover)",
ISBN-13 = "978-0-429-89491-6 (e-book), 978-0-429-89492-3
(e-book), 978-1-138-59963-5 (hardcover)",
LCCN = "QA76.9.I52",
bibdate = "Wed Apr 7 05:38:43 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "\booktitle{R Visualizations: Derive Meaning from Data}
focuses on one of the two major topics of data
analytics: data visualization, a.k.a., computer
graphics. In the book, major R systems for
visualization are discussed, organized by topic and not
by system. Anyone doing data analysis will be shown how
to use R to generate any of the basic visualizations
with the R visualization systems. Further, this book
introduces the author's lessR system, which always can
accomplish a visualization with less coding than the
use of other systems, sometimes dramatically so, and
also provides accompanying statistical analyses. Key
Features Presents thorough coverage of the leading R
visualization system, ggplot2. Gives specific guidance
on using base R graphics to attain visualizations of
the same quality as those provided by ggplot2. Shows
how to create a wide range of data visualizations:
distributions of categorical and continuous variables,
many types of scatterplots including with a third
variable, time series, and maps. Inclusion of the
various approaches to R graphics organized by topic
instead of by system. Presents the recent work on
interactive visualization in R. David W. Gerbing
received his PhD from Michigan State University in 1979
in quantitative analysis, and currently is a professor
of quantitative analysis in the School of Business at
Portland State University. He has published extensively
in the social and behavioral sciences with a focus on
quantitative methods. His lessR package has been in
development since 2009.",
acknowledgement = ack-nhfb,
subject = "Information visualization; R (Computer program
language); Information visualization; R (Computer
program language)",
tableofcontents = "1. R, Data and Visualizations \\
2. R Visualization Quick Start \\
3. Customization \\
4. Visualize the Distribution of a Categorical Variable
\\
5. Visualize the Distribution of a Continuous Variable
\\ 6. Visualize the Distributions of Values over Time
\\
7. Visualize Spatial Data with Maps \\
8. Visualize Three Dimensions \\
9. Visualize Dimensionality Reduction \\
10. Interactive Visualizations",
}
@Article{Hankin:2020:IPR,
author = "Robin K. S. Hankin",
title = "Introducing the \pkg{permutations} {R} package",
journal = j-SOFTWAREX,
volume = "11",
number = "??",
pages = "Article 100453",
month = jan # "\slash " # jun,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100453",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:39 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711019302055",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Hsieh:2020:PRP,
author = "Nan-Hung Hsieh and Brad Reisfeld and Weihsueh A.
Chiu",
title = "\pkg{pksensi}: an {R} package to apply global
sensitivity analysis in physiologically based kinetic
modeling",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100609",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100609",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711020303228",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Book{Ismay:2020:SIDd,
author = "Chester Ismay and Albert Young-Sun Kim",
title = "Statistical Inference via Data Science: a
{ModernDive}, Into {R} and the {Tidyverse}",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xxx + 430",
year = "2020",
DOI = "https://doi.org/10.1201/9780367409913",
ISBN = "0-367-40982-8 (paperback), 0-367-40987-9 (hardcover),
0-367-40991-7 (e-book), 1-000-76346-3 (e-book),
1-000-76351-X (Mobipocket ebook), 1-000-76356-0 (EPUB
e-book)",
ISBN-13 = "978-0-367-40982-1 (paperback), 978-0-367-40987-6
(hardcover), 978-0-367-40991-3 (e-book),
978-1-000-76346-1 (e-book), 978-1-000-76351-5
(Mobipocket ebook), 978-1-000-76356-0 (EPUB e-book)",
LCCN = "QA276.45.R3 I86 2020",
bibdate = "Sun Jul 19 09:29:18 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC the r series",
abstract = "\booktitle{Statistical Inference via Data Science: A
ModernDive into R and the Tidyverse} provides a pathway
for learning about statistical inference using data
science tools widely used in industry, academia, and
government. It introduces the tidyverse suite of R
packages, including the ggplot2 package for data
visualization, and the dplyr package for data
wrangling. After equipping readers with just enough of
these data science tools to perform effective
exploratory data analyses, the book covers traditional
introductory statistics topics like confidence
intervals, hypothesis testing, and multiple regression
modeling, while focusing on visualization throughout.",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; Quantitative research; R
(Computer program language); MATHEMATICS; Probability
and Statistics; Regression Analysis.; Quantitative
research.; R (Computer program language); Data
processing.",
tableofcontents = "Getting started with data in R \\
Data visualization \\
Data wrangling \\
Data importing and ``tidy'' data \\
Basic regression \\
Multiple regression \\
Sampling \\
Bootstrapping and confidence intervals \\
Hypothesis testing \\
Inference for regression \\
Tell your story with data",
}
@Article{Johnson:2020:BRR,
author = "Paul Johnson",
title = "Book Review: {{\booktitle{R Markdown: The Definitive
Guide}}, Yihui Xie, J. J. Allaire, and Garrett
Grolemund. Boca Raton, FL: Chapman \& Hall\slash CRC
Press, 2018, xxxiv + 303 pp., \$38.95(P), ISBN:
978-1-138-35933-8}",
journal = j-AMER-STAT,
volume = "74",
number = "2",
pages = "209--210",
year = "2020",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2020.1745577",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Thu Aug 13 17:00:20 MDT 2020",
bibsource = "http://www.tandfonline.com/toc/utas20/74/2;
https://www.math.utah.edu/pub/tex/bib/amstat2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/00031305.2020.1745577",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
onlinedate = "27 Apr 2020",
}
@Article{Kim:2020:BRD,
author = "Sehee Kim",
title = "Book Review: {{\booktitle{Deep learning with R}},
Chollet, Fran{\c{c}}ois, Allaire, Joseph J., Shelter
Island, NY: Manning}",
journal = j-BIOMETRICS,
volume = "76",
number = "1",
pages = "361--362",
month = mar,
year = "2020",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13224",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Jun 25 10:48:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "11 March 2020",
}
@Article{Kim:2020:DTH,
author = "Jae H. Kim",
title = "Decision-Theoretic Hypothesis Testing: A Primer With
{R} Package {OptSig}",
journal = j-AMER-STAT,
volume = "74",
number = "4",
pages = "370--379",
year = "2020",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2020.1750484",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Wed Mar 10 12:49:47 MST 2021",
bibsource = "http://www.tandfonline.com/toc/utas20/74/4;
https://www.math.utah.edu/pub/tex/bib/amstat2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/00031305.2020.1750484",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
}
@Article{King:2020:BRP,
author = "Thomas King",
title = "Book Review: {{\booktitle{Practical R for Mass
Communication and Journalism}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "183",
number = "1",
pages = "405--405",
month = jan,
year = "2020",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12538",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Dec 13 09:53:19 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "07 December 2019",
}
@Article{Kramer:2020:BRD,
author = "Walter Kr{\"a}mer",
title = "Book Review: {Dieter Rasch, Rob Verdooren and
J{\"u}rgen Pilz: \booktitle{Applied statistics: theory
and problem solutions with R}}",
journal = j-STAT-PAPERS,
volume = "61",
number = "2",
pages = "919--920",
month = apr,
year = "2020",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-020-01164-6",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Thu Apr 2 10:20:00 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-020-01164-6;
http://link.springer.com/content/pdf/10.1007/s00362-020-01164-6.pdf",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Lasinio:2020:CRP,
author = "Giovanna Jona Lasinio and Mario Santoro and Gianluca
Mastrantonio",
title = "\pkg{CircSpaceTime}: an {R} package for spatial and
spatio-temporal modelling of circular data",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "90",
number = "7",
pages = "1315--1345",
year = "2020",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2020.1725008",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Thu Apr 9 10:56:02 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "21 Feb 2020",
}
@Article{Leng:2020:BRS,
author = "Ling Leng",
title = "Book Review: {{\booktitle{Statistical Computing With
R}}, (2nd ed.), by Maria L. Rizzo. Boca Raton, FL:
Chapman \& Hall\slash CRC Press, 2019, xiv + 474 pp.,
\$99.95(H), ISBN: 978-1-4665-5332-3}",
journal = j-J-AM-STAT-ASSOC,
volume = "115",
number = "531",
pages = "1557--1558",
year = "2020",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1080/01621459.2020.1801280",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Mon Mar 8 12:19:55 MST 2021",
bibsource = "http://www.tandfonline.com/toc/uasa20/115/531;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
onlinedate = "01 Sep 2020",
}
@Book{Leps:2020:BRI,
author = "Jan Lep{\v{s}} and Petr {\v{S}}milauer",
title = "Biostatistics with {R}: an introductory guide for
field biologists",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
pages = "????",
year = "2020",
ISBN = "1-108-48038-1 (hardcover), 1-108-72734-4 (paperback),
1-108-61604-6 (e-pub)",
ISBN-13 = "978-1-108-48038-3 (hardcover), 978-1-108-72734-1
(paperback), 978-1-108-61604-1 (e-pub)",
LCCN = "QH323.5 .L46 2020",
bibdate = "Sun Aug 9 10:30:37 MDT 2020",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "\booktitle{Biostatistics with R} provides a
straightforward introduction on how to analyse data
from the wide field of biological research, including
nature protection and global change monitoring. The
book is centred around traditional statistical
approaches, focusing on those prevailing in research
publications. The authors cover t tests, ANOVA and
regression models, but also the advanced methods of
generalised linear models and classification and
regression trees. Chapters usually start with several
useful case examples, describing the structure of
typical datasets and proposing research-related
questions. All chapters are supplemented by example
datasets and thoroughly explained, step-by-step R code
demonstrating the analytical procedures and
interpretation of results. The authors also provide
examples of how to appropriately describe statistical
procedures and results of analyses in research papers.
This accessible textbook will serve a broad audience of
interested readers, from students, researchers or
professionals looking to improve their everyday
statistical practice, to lecturers of introductory
undergraduate courses''",
acknowledgement = ack-nhfb,
author-dates = "1953--",
subject = "Biometry; R (Computer program language)",
}
@Article{Lipovetsky:2020:BRI,
author = "Stan Lipovetsky",
title = "Book Review: {{\booktitle{Introduction to Data
Science: Data Analysis and Prediction Algorithms With
R}}, by Rafael A. Irizarry. Boca Raton, FL: Chapman and
Hall\slash CRC, Taylor \& Francis Group, 2020, xxx +
713 pp., \$99.95, ISBN: 978-0-367-35798-6}",
journal = j-TECHNOMETRICS,
volume = "62",
number = "2",
pages = "1--282",
year = "2020",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2020.1744905",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue Jul 14 17:58:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "07 May 2020",
}
@Article{Lipovetsky:2020:BRS,
author = "Stan Lipovetsky",
title = "Book Review: {{\booktitle{Statistical Inference via
Data Science: A Modern Dive Into R and the Tidyverse}},
by Chester Ismay and Albert Y. Kim. Boca Raton, FL:
Chapman and Hall\slash CRC, Taylor \& Francis Group,
2020, xxx + 430 pp., \$79.95, ISBN:
978-0-367-40982-1}",
journal = j-TECHNOMETRICS,
volume = "62",
number = "2",
pages = "1--283",
year = "2020",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2020.1744908",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue Jul 14 17:58:37 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "07 May 2020",
}
@Article{Luciano:2020:TRP,
author = "G. Luciano and K. H. Liland and M. Marsotto and R.
Svoboda and S. Berretta",
title = "\pkg{takos}: an {R} package for thermal analysis
calculations",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100637",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100637",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711020303502",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{McGowan:2020:BRR,
author = "Lucy D'Agostino McGowan",
title = "Book Review: {{\booktitle{Reproducible Research in R
and R Studio}}, 3rd edition. By Gandrud, Christopher}",
journal = j-BIOMETRICS,
volume = "76",
number = "4",
pages = "1391--1391",
month = dec,
year = "2020",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13396",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Sat Jan 16 10:49:28 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "11 December 2020",
}
@Article{Mollica:2020:PPR,
author = "Cristina Mollica and Luca Tardella",
title = "\pkg{PLMIX}: an {R} package for modelling and
clustering partially ranked data",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "90",
number = "5",
pages = "925--959",
year = "2020",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2020.1711909",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Fri Feb 21 15:25:51 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "07 Jan 2020",
}
@Article{Mora-Cantallops:2020:CNA,
author = "Mar{\c{c}}al Mora-Cantallops and Salvador
S{\'a}nchez-Alonso and Elena Garc{\'\i}a-Barriocanal",
title = "A complex network analysis of the {Comprehensive R
Archive Network (CRAN)} package ecosystem",
journal = j-J-SYST-SOFTW,
volume = "170",
number = "??",
pages = "??--??",
month = dec,
year = "2020",
CODEN = "JSSODM",
DOI = "https://doi.org/10.1016/j.jss.2020.110744",
ISSN = "0164-1212 (print), 1873-1228 (electronic)",
ISSN-L = "0164-1212",
bibdate = "Mon May 24 20:13:55 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jsystsoftw2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0164121220301709",
acknowledgement = ack-nhfb,
articleno = "110744",
fjournal = "Journal of Systems and Software",
journal-URL = "http://www.sciencedirect.com/science/journal/01641212",
}
@Article{Mora-Cantallops:2020:EPC,
author = "Mar{\c{c}}al Mora-Cantallops and Miguel-{\'A}ngel
Sicilia and Elena Garc{\'\i}a-Barriocanal and Salvador
S{\'a}nchez-Alonso",
title = "Evolution and prospects of the {Comprehensive R
Archive Network (CRAN)} package ecosystem",
journal = j-J-SOFTW-EVOL-PROC,
volume = "32",
number = "11",
pages = "e2270:1--e2270:??",
month = nov,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1002/smr.2270",
ISSN = "2047-7473 (print), 2047-7481 (electronic)",
ISSN-L = "2047-7473",
bibdate = "Mon May 17 08:20:31 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jsoftwevolproc.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "",
fjournal = "Journal of Software: Evolution and Process",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2047-7481",
onlinedate = "28 June 2020",
}
@InProceedings{Moy:2020:JTV,
author = "C. Moy and J. Belyakova and A. Turcotte and S. D.
Bartolomeo and C. Dunne",
booktitle = "{2020 IEEE Visualization Conference (VIS)}",
title = "Just {TYPEical}: Visualizing Common Function Type
Signatures in {R}",
publisher = pub-IEEE,
address = pub-IEEE:adr,
pages = "121--125",
year = "2020",
DOI = "https://doi.org/10.1109/VIS47514.2020.00031",
bibdate = "Thu Apr 8 07:17:08 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
keywords = "Julia programming language",
}
@Article{Nummi:2020:BRS,
author = "Tapio Nummi",
title = "Book Review: {{\booktitle{Semiparametric Regression
with R}}. Jaroslaw Harezlak, David Ruppert and Matt P.
Wand Springer, 2018, xi + 331 pages, EUR85.39, ebook
ISBN: 978-1-4939-8853-2}",
journal = j-INT-STAT-REV,
volume = "88",
number = "2",
pages = "516--516",
month = aug,
year = "2020",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12384",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Mon May 17 13:22:46 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Int. Stat. Rev.",
fjournal = "International Statistical Review",
journal-URL = "http://www.jstor.org/journals/03067734.html;
https://onlinelibrary.wiley.com/loi/17515823",
onlinedate = "19 May 2020",
}
@Article{Nunes:2020:BRT,
author = "Matthew Nunes",
title = "Book Review: {{\booktitle{Time Series: a Data Analysis
Approach Using R}} By Robert H. Shumway and David S.
Stoffer. Published by Taylor and Francis Group, LLC,
Boca Raton, London, New York, 2019. ISBN:
978-0-367-22109-6 (Hardback)}",
journal = j-J-TIME-SER-ANAL,
volume = "41",
number = "3",
pages = "485--486",
month = may,
year = "2020",
CODEN = "JTSADL",
DOI = "https://doi.org/10.1111/jtsa.12508",
ISSN = "0143-9782 (print), 1467-9892 (electronic)",
ISSN-L = "0143-9782",
bibdate = "Mon Jun 15 15:45:06 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jtimeseranal.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Time Series Analysis",
journal-URL = "https://onlinelibrary.wiley.com/journal/14679892",
onlinedate = "14 October 2019",
}
@Article{Pawlowsky-Glahn:2020:BRP,
author = "Vera Pawlowsky-Glahn",
title = "Book Review: {Peter Filzmoser, Karel Hron, Matthias
Templ: \booktitle{Applied compositional data analysis,
with worked examples in R}}",
journal = j-STAT-PAPERS,
volume = "61",
number = "2",
pages = "921--922",
month = apr,
year = "2020",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-020-01163-7",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Thu Apr 2 10:20:00 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "http://link.springer.com/article/10.1007/s00362-020-01163-7",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
}
@Article{Rasch:2020:DMM,
author = "Dieter Rasch and Rob Verdooren",
title = "Determination of Minimum and Maximum Experimental Size
in One-, Two- and Three-way {ANOVA} with Fixed and
Mixed Models by {R}",
journal = j-J-STAT-THEORY-PRACT,
volume = "14",
number = "4",
pages = "??--??",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1007/s42519-020-00088-6",
ISSN = "1559-8608 (print), 1559-8616 (electronic)",
ISSN-L = "1559-8608",
bibdate = "Tue Apr 20 10:23:05 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstattheorypract.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s42519-020-00088-6",
acknowledgement = ack-nhfb,
ajournal = "J. Stat. Theory. Pract.",
articleno = "57",
fjournal = "Journal of Statistical Theory and Practice",
journal-URL = "http://link.springer.com/journal/42519",
online-date = "Published: 05 August 2020 Article: 57 This is part of
2 collections: Advances in Statistical and Simulation
Methods , Advances in Statistical and Simulation
Methods",
}
@Article{Reddy:2020:SRP,
author = "K. G. Reddy and M. G. M. Khan",
title = "\pkg{stratifyR}: An {R} Package for optimal
stratification and sample allocation for univariate
populations",
journal = j-ANZJS,
volume = "62",
number = "3",
pages = "383--405",
month = sep,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12301",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Mon May 17 08:07:13 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "",
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
onlinedate = "19 October 2020",
}
@Article{Schon:2020:DRP,
author = "Marian Sch{\"o}n and Jakob Simeth and Paul Heinrich
and Franziska G{\"o}rtler and Stefan Solbrig and Tilo
Wettig and Peter J. Oefner and Michael Altenbuchinger
and Rainer Spang",
title = "{DTD}: An {R} Package for Digital Tissue
Deconvolution",
journal = j-J-COMPUT-BIOL,
volume = "27",
number = "3",
pages = "386--389",
month = mar,
year = "2020",
CODEN = "JCOBEM",
DOI = "https://doi.org/10.1089/cmb.2019.0469",
ISSN = "1066-5277 (print), 1557-8666 (electronic)",
ISSN-L = "1066-5277",
bibdate = "Tue Jun 2 19:30:01 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputbiol.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.liebertpub.com/doi/abs/10.1089/cmb.2019.0469;
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0469",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational Biology",
journal-URL = "https://www.liebertpub.com/loi/cmb/",
onlinedate = "29 January 2020",
}
@Article{Shanmugam:2020:MAE,
author = "Ramalingam Shanmugam",
title = "Multivariate analysis of ecological data with
\pkg{ade4}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "90",
number = "6",
pages = "1150--1151",
year = "2020",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2019.1628898",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Tue Mar 10 07:23:25 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "18 Jun 2019",
}
@Article{Sharaf:2020:BRP,
author = "Taysseer Sharaf and Theren Williams and Abdallah
Chehade and Keshav Pokhrel",
title = "\pkg{BLNN}: an {R} package for training neural
networks using {Bayesian} inference",
journal = j-SOFTWAREX,
volume = "11",
number = "??",
pages = "Article 100432",
month = jan # "\slash " # jun,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100432",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:39 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271101930322X",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Siddharth:2020:RPI,
author = "R. Siddharth and G. Aghila",
title = "{RandPro} --- a practical implementation of random
projection-based feature extraction for high
dimensional multivariate data analysis in {R}",
journal = j-SOFTWAREX,
volume = "12",
number = "??",
pages = "Article 100629",
month = jul # "\slash " # dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2020.100629",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Fri Apr 9 16:04:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711020303423",
acknowledgement = ack-nhfb,
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Simoneau:2020:ODT,
author = "Gabrielle Simoneau and Erica E. M. Moodie and Michael
P. Wallace and Robert W. Platt",
title = "Optimal dynamic treatment regimes with survival
endpoints: introducing {DWSurv} in the {R} package
\pkg{DTRreg}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "90",
number = "16",
pages = "2991--3008",
year = "2020",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2020.1793341",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Sat Nov 14 06:50:29 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "15 Jul 2020",
}
@Article{Turcotte:2020:DTR,
author = "Alexi Turcotte and Aviral Goel and Filip Krikava and
Jan Vitek",
title = "Designing types for {R}, empirically",
journal = j-PACMPL,
volume = "4",
number = "OOPSLA",
pages = "181:1--181:25",
month = nov,
year = "2020",
DOI = "https://doi.org/10.1145/3428249",
bibdate = "Tue Mar 30 08:10:50 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/pacmpl.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://dl.acm.org/doi/10.1145/3428249",
abstract = "The R programming language is widely used in a variety
of domains. It was designed to favor an interactive
style of programming with minimal syntactic and
conceptual overhead. This design is well suited to data
analysis, but a bad fit for tools such as \ldots{}",
acknowledgement = ack-nhfb,
articleno = "181",
fjournal = "Proceedings of the ACM on Programming Languages",
journal-URL = "https://pacmpl.acm.org/",
}
@Article{Turner:2020:MRR,
author = "Heather L. Turner and Jacob van Etten and Ioannis
Kosmidis",
title = "Modelling rankings in {R}: the \pkg{PlackettLuce}
package",
journal = j-COMP-STAT,
volume = "35",
number = "3",
pages = "1027--1057",
month = sep,
year = "2020",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-020-00959-3",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Wed Mar 31 14:59:16 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-020-00959-3",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
online-date = "Published: 12 February 2020 Pages: 1027 - 1057",
}
@Article{Yang:2020:ICB,
author = "Chao-Tung Yang and Yu-Wei Chan and Jung-Chun Liu and
Ben-Shen Lou",
title = "An implementation of cloud-based platform with {R}
packages for spatiotemporal analysis of air pollution",
journal = j-J-SUPERCOMPUTING,
volume = "76",
number = "3",
pages = "1416--1437",
month = mar,
year = "2020",
CODEN = "JOSUED",
DOI = "https://doi.org/10.1007/s11227-017-2189-1",
ISSN = "0920-8542 (print), 1573-0484 (electronic)",
ISSN-L = "0920-8542",
bibdate = "Sat Jul 25 07:17:55 MDT 2020",
bibsource = "http://link.springer.com/journal/11227/76/3;
https://www.math.utah.edu/pub/tex/bib/jsuper.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "The Journal of Supercomputing",
journal-URL = "http://link.springer.com/journal/11227",
}
@Article{Amornbunchornvej:2021:MRP,
author = "Chainarong Amornbunchornvej",
title = "\pkg{mFLICA}: an {R} package for inferring leadership
of coordination from time series",
journal = j-SOFTWAREX,
volume = "15",
number = "??",
pages = "??--??",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100781",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:25 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021000935",
acknowledgement = ack-nhfb,
articleno = "100781",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Arbel:2021:BBN,
author = "J. Arbel and G. Kon Kam King and A. Lijoi and L.
Nieto-Barajas and I. Pr{\"u}nster",
title = "\pkg{BNPdensity}: {Bayesian} nonparametric mixture
modelling in {R}",
journal = j-ANZJS,
volume = "63",
number = "3",
pages = "542--564",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12342",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Mon Feb 21 12:35:55 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Austral. \& New Zealand J. Statist.",
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
onlinedate = "17 November 2021",
}
@Article{Arroyo:2021:ARI,
author = "Daisy Arroyo and Xavier Emery",
title = "{Algorithm 1013}: an {R} Implementation of a
Continuous Spectral Algorithm for Simulating Vector
{Gaussian} Random Fields in {Euclidean} Spaces",
journal = j-TOMS,
volume = "47",
number = "1",
pages = "8:1--8:25",
month = jan,
year = "2021",
CODEN = "ACMSCU",
DOI = "https://doi.org/10.1145/3421316",
ISSN = "0098-3500 (print), 1557-7295 (electronic)",
ISSN-L = "0098-3500",
bibdate = "Thu Jan 7 10:31:04 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/prng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/toms.bib",
URL = "https://dl.acm.org/doi/10.1145/3421316",
abstract = "A continuous spectral algorithm and computer routines
in the R programming environment that enable the
simulation of second-order stationary and intrinsic
(i.e., with second-order stationary increments or
generalized increments) vector Gaussian random in
Euclidean spaces are presented. The simulation is
obtained by computing a weighted sum of cosine and sine
waves, with weights that depend on the matrix-valued
spectral density associated with the spatial
correlation structure of the random field to simulate.
The computational cost is proportional to the number of
locations targeted for simulation, below that of
sequential, matrix decomposition and discrete spectral
algorithms. Also, the implementation is versatile, as
there is no restriction on the number of vector
components, workspace dimension, number and geometrical
configuration of the target locations. The computer
routines are illustrated with synthetic examples and
statistical testing is proposed to check the normality
of the distribution of the simulated random field or of
its generalized increments. A by-product of this work
is a spectral representation of spherical, cubic,
penta, Askey, J-Bessel, Cauchy, Laguerre,
hypergeometric, iterated exponential, gamma, and stable
covariance models in the $d$-dimensional Euclidean
space..",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Mathematical Software (TOMS)",
journal-URL = "https://dl.acm.org/loi/toms",
}
@Article{Benoit:2021:BRT,
author = "Kenneth R. Benoit",
title = "Book Review: {{\booktitle{Textual Data Science with
R}}, M{\'o}nica B{\'e}cue-Bertaut. Boca Raton, FL:
Chapman \& Hall\slash CRC Press, 2019, xvii + 194 pp.,
\$79.95 (H), \$54.95 (e-book), ISBN: 978-1-138-62691-1
(H), 978-1-315-21266-1 (e-book)}",
journal = j-AMER-STAT,
volume = "75",
number = "4",
pages = "453--454",
year = "2021",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2021.1985864",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Mon Feb 7 07:35:06 MST 2022",
bibsource = "http://www.tandfonline.com/toc/utas20/75/4;
https://www.math.utah.edu/pub/tex/bib/amstat2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/00031305.2021.1985864",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
}
@Book{Braun:2021:FCS,
author = "John Braun and Duncan James Murdoch",
title = "A first course in statistical programming with {R}",
publisher = pub-CAMBRIDGE,
address = pub-CAMBRIDGE:adr,
edition = "Third",
pages = "xx + 260",
year = "2021",
DOI = "https://doi.org/10.1017/9781108993456",
ISBN = "1-108-99514-4 (paperback), 1-108-99941-7 (PDF
e-book)",
ISBN-13 = "978-1-108-99514-6 (paperback), 978-1-108-99941-0 (PDF
e-book)",
LCCN = "QA276.45.R3 B73 2021",
bibdate = "Thu Sep 23 08:30:20 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.cambridge.org/us/academic/subjects/statistics-probability/computational-statistics-machine-learning-and-information-sc/first-course-statistical-programming-r-3rd-edition",
abstract = "This third edition of Braun and Murdoch's bestselling
textbook now includes discussion of the use and design
principles of the tidyverse packages in R, including
expanded coverage of ggplot2, and R Markdown. The
expanded simulation chapter introduces the Box--Muller
and Metropolis--Hastings algorithms. New examples and
exercises have been added throughout. This is the only
introduction you'll need to start programming in R, the
computing standard for analyzing data. This book comes
with real R code that teaches the standards of the
language. Unlike other introductory books on the R
system, this book emphasizes portable programming
skills that apply to most computing languages and
techniques used to develop more complex projects.
Solutions, datasets, and any errata are available from
www.statprogr.science. Worked examples from real
applications --- hundreds of exercises, and
downloadable code, datasets, and solutions make a
complete package for anyone working in or learning
practical data science.",
acknowledgement = ack-nhfb,
author-dates = "John Braun (1963--), Duncan James Murdoch (1959--)",
subject = "R (Computer program language); Statistics; Data
processing; R (Computer program language); Data
processing.",
tableofcontents = "1. Getting Started \\
2. Introduction to the R Language \\
3. Programming Statistical Graphics \\
4. Programming with R \\
5. Complex Programming in the Tidyverse \\
6. Simulation \\
7. Computational Linear Algebra \\
8. Numerical Optimization \\
A. Review of Random Variables and Distributions \\
B. Base Graphics Details \\
Index",
}
@Article{Chaturvedi:2021:BRA,
author = "Anoop Chaturvedi",
title = "Book Review: {{\booktitle{Analyzing high-dimensional
gene expression and DNA methylation data with R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "184",
number = "3",
pages = "1154--1154",
month = jul,
year = "2021",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12706",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Jan 21 10:59:38 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "19 May 2021",
}
@Article{Chung:2021:BRP,
author = "Jong-Hee Chung and Yong-Bin Lim and Donghoh Kim",
title = "\pkg{BDEsize}: an {R} package for efficient
determination of sample size in a balanced design of
experiments",
journal = j-SOFTWAREX,
volume = "16",
number = "??",
pages = "??--??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100837",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:26 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021001229",
acknowledgement = ack-nhfb,
articleno = "100837",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Corradini:2021:URP,
author = "Fabio Corradini and Nicolas Beriot and Esperanza
Huerta-Lwanga and Violette Geissen",
title = "\pkg{uFTIR}: an {R} package to process hyperspectral
images of environmental samples captured with $ \mu $
{FTIR} microscopes",
journal = j-SOFTWAREX,
volume = "16",
number = "??",
pages = "??--??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100857",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:26 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021001321",
acknowledgement = ack-nhfb,
articleno = "100857",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Dasgupta:2021:BRI,
author = "Nairanjana Dasgupta",
title = "Book Review: {{\booktitle{Introduction to Data
Science: Data Analysis and Algorithms with R}}, By
Rafael Irrizarry Boca Raton, FL: CRC Press, 2020. Hard
cover. pp. 711}",
journal = j-BIOMETRICS,
volume = "77",
number = "3",
pages = "1131--1132",
month = sep,
year = "2021",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13521",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Sun Feb 06 09:02:28 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 September 2021",
}
@Article{Dietz:2021:BRR,
author = "Sebastian Dietz",
title = "Book Review: {{\booktitle{R Visualizations --- Derive
Meaning from Data}}, Gerbing, D. W., 2020. Chapman and
Hall\slash CRC Press, Boca Raton. 237 pp. 68,99 GBP.
ISBN 978-1-138-59963-5}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "184",
number = "1",
pages = "401--402",
month = jan,
year = "2021",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12640",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Mar 26 09:36:17 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "23 December 2020",
}
@Article{Eddelbuettel:2021:PCR,
author = "Dirk Eddelbuettel",
title = "Parallel computing with {R}: A brief review",
journal = j-WIRES,
volume = "13",
number = "2",
pages = "e1515:1--e1515:??",
month = mar # "--" # apr,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1515",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Mon May 17 07:38:33 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "15 June 2020",
}
@Article{Eskelson:2021:BRB,
author = "Bianca N. I. Eskelson",
title = "Book Review: {{\booktitle{Biometry for forestry and
environmental data with examples in R}}. Meht{\"a}talo,
Lauri and Lappi, Juha. Boca Raton, FL : Chapman and
Hall\slash CRC, 2020. pp. 426}",
journal = j-BIOMETRICS,
volume = "77",
number = "4",
pages = "1500--1502",
month = dec,
year = "2021",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13597",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Sun Feb 6 08:51:22 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "31 December 2021",
}
@Article{Fischer:2021:PRR,
author = "Daniel Fischer and Alain Berro and Klaus Nordhausen
and Anne Ruiz-Gazen",
title = "\pkg{REPPlab}: an {R} package for detecting clusters
and outliers using exploratory projection pursuit",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "50",
number = "11",
pages = "3397--3419",
year = "2021",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2019.1626880",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Mon Feb 21 12:11:49 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "31 May 2019",
}
@Article{Gajowniczek:2021:IRPa,
author = "Krzysztof Gajowniczek and Tomasz Zabkowski",
title = "\pkg{ImbTreeAUC}: an {R} package for building
classification trees using the area under the {ROC}
curve {(AUC)} on imbalanced datasets",
journal = j-SOFTWAREX,
volume = "15",
number = "??",
pages = "??--??",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100755",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:25 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021000807",
acknowledgement = ack-nhfb,
articleno = "100755",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Gajowniczek:2021:IRPb,
author = "Krzysztof Gajowniczek and Tomasz Zabkowski",
title = "\pkg{ImbTreeEntropy}: an {R} package for building
entropy-based classification trees on imbalanced
datasets",
journal = j-SOFTWAREX,
volume = "16",
number = "??",
pages = "??--??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100841",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:26 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021001242",
acknowledgement = ack-nhfb,
articleno = "100841",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Gepp:2021:BRA,
author = "Adrian Gepp",
title = "Book Review: {{\booktitle{Advanced Statistics with
Applications in R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "184",
number = "4",
pages = "1610--1611",
month = oct,
year = "2021",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12727",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Jan 21 10:59:39 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "05 July 2021",
}
@Article{Goel:2021:PMB,
author = "Aviral Goel and Jan Jecmen and Sebasti{\'a}n Krynski
and Olivier Fl{\"u}ckiger and Jan Vitek",
title = "Promises are made to be broken: migrating {R} to
strict semantics",
journal = j-PACMPL,
volume = "5",
number = "OOPSLA",
pages = "101:1--101:20",
month = oct,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3485478",
ISSN = "2475-1421 (electronic)",
ISSN-L = "2475-1421",
bibdate = "Wed Mar 2 07:00:43 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/pacmpl.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://dl.acm.org/doi/10.1145/3485478",
abstract = "Function calls in the R language do not evaluate their
arguments, these are passed to the callee as suspended
computations and evaluated if needed. After 25 years of
experience with the language, there are very few cases
where programmers leverage \ldots{}",
acknowledgement = ack-nhfb,
articleno = "101",
fjournal = "Proceedings of the ACM on Programming Languages
(PACMPL)",
journal-URL = "https://dl.acm.org/loi/pacmpl",
}
@Article{Goel:2021:WWE,
author = "Aviral Goel and Pierre Donat-Bouillud and Filip
Krikava and Christoph M. Kirsch and Jan Vitek",
title = "What we eval in the shadows: a large-scale study of
eval in {R} programs",
journal = j-PACMPL,
volume = "5",
number = "OOPSLA",
pages = "125:1--125:23",
month = oct,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3485502",
ISSN = "2475-1421 (electronic)",
ISSN-L = "2475-1421",
bibdate = "Wed Mar 2 07:00:43 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/pacmpl.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://dl.acm.org/doi/10.1145/3485502",
abstract = "Most dynamic languages allow users to turn text into
code using various functions, often named \ldots{}",
acknowledgement = ack-nhfb,
articleno = "125",
fjournal = "Proceedings of the ACM on Programming Languages
(PACMPL)",
journal-URL = "https://dl.acm.org/loi/pacmpl",
}
@Article{Hu:2021:BRS,
author = "Chen Hu",
title = "Book Review: {{\booktitle{Statistical methods for
survival trial design-With applications to cancer
clinical trials using R by Jianrong Wu, CRC Press,
2018, ISBN 978-0-367-73432-9}}}",
journal = j-BIOMETRICS,
volume = "77",
number = "2",
pages = "777--778",
month = jun,
year = "2021",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13485",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Sun Feb 6 08:51:20 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "21 June 2021",
}
@Article{Innis:2021:GPC,
author = "Sarah E. Innis and Kelsie Reinaltt and Mete Civelek
and Warren D. Anderson",
title = "{GSEAplot}: a Package for Customizing Gene Set
Enrichment Analysis in {R}",
journal = j-J-COMPUT-BIOL,
volume = "28",
number = "6",
pages = "629--631",
month = jun,
year = "2021",
CODEN = "JCOBEM",
DOI = "https://doi.org/10.1089/cmb.2020.0426",
ISSN = "1066-5277 (print), 1557-8666 (electronic)",
ISSN-L = "1066-5277",
bibdate = "Fri Apr 8 09:59:38 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputbiol.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.liebertpub.com/doi/abs/10.1089/cmb.2020.0426;
https://www.liebertpub.com/doi/reader/10.1089/cmb.2020.0426",
acknowledgement = ack-nhfb,
ajournal = "J. Comput. Biol.",
fjournal = "Journal of Computational Biology",
journal-URL = "https://www.liebertpub.com/loi/cmb/",
onlinedate = "16 April 2021",
}
@Article{Jin:2021:AMR,
author = "Man Jin and Adam Polis and Jonathan Hartzel",
title = "Algorithms for minimization randomization and the
implementation with an {R} package",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "50",
number = "10",
pages = "3077--3087",
year = "2021",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2019.1619765",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Mon Feb 21 12:11:49 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "30 Mar 2020",
}
@Article{Kelley:2021:ARP,
author = "Dan E. Kelley and Jaimie Harbin and Clark Richards",
title = "{argoFloats}: an {R} Package for Analyzing {Argo}
Data",
journal = j-FRONTIERS-MAR-SCI,
volume = "8",
month = may,
year = "2021",
DOI = "https://doi.org/10.3389/fmars.2021.635922",
ISSN = "2296-7745",
ISSN-L = "2296-7745",
bibdate = "Wed Dec 22 06:45:41 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/frontmarsci2010.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Front. Mar. Sci.",
fjournal = "Frontiers in Marine Science",
journal-URL = "https://www.frontiersin.org/journals/655",
rawdoi = "10.3389/fmars.2021.635922",
}
@Article{Kim:2021:ERP,
author = "Donghoh Kim and Hee-Seok Oh and Guebin Choi",
title = "\pkg{EPT}: an {R} package for ensemble patch
transform",
journal = j-SOFTWAREX,
volume = "14",
number = "??",
pages = "??--??",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100704",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:25 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021000492",
acknowledgement = ack-nhfb,
articleno = "100704",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Koyuncu:2021:DRM,
author = "Nursel Koyuncu and Derya Karag{\"o}z",
title = "Designing robust modified {R} control charts for
asymmetric distributions under ranked set and median
ranked set sampling",
journal = j-COMP-STAT,
volume = "36",
number = "2",
pages = "1093--1121",
month = jun,
year = "2021",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-020-01051-6",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Mon Jan 24 15:06:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-020-01051-6",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Lee:2021:BRB,
author = "Youjin Lee",
title = "Book Review: {{\booktitle{Beyond Multiple Linear
Regression: Applied Generalized Linear Models and
Multilevel Models in R}}, by Paul Roback and Julie
Legler. Boca Raton, FL: Chapman \& Hall\slash CRC
Press, 2020 (H)\slash 2021 (e-book), xvii + 418 pp.,
\$99.95 (H/e-book), ISBN: 978-1-4398-8538-3 (H),
978-0-429-06666-5 (e-book)}",
journal = j-AMER-STAT,
volume = "75",
number = "4",
pages = "450--451",
year = "2021",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2021.1985862",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Mon Feb 7 07:35:06 MST 2022",
bibsource = "http://www.tandfonline.com/toc/utas20/75/4;
https://www.math.utah.edu/pub/tex/bib/amstat2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/00031305.2021.1985862",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
}
@Article{Li:2021:IWB,
author = "Ran Li and Usama Bilal",
title = "Interactive web-based data visualization with {R},
\pkg{plotly}, and \pkg{shiny} ({Carson Sievert})",
journal = j-BIOMETRICS,
volume = "77",
number = "2",
pages = "776--777",
month = jun,
year = "2021",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13474",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Sun Feb 6 08:51:20 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "21 June 2021",
}
@Article{Lipovetsky:2021:BRA,
author = "Stan Lipovetsky",
title = "Book Review: {{\booktitle{Advanced Statistics with
Applications in R}}, by Eugene Demidenko, Hoboken, NJ:
John Wiley \& Sons, 2020, xvii + 856 pp., \$135.00
(Hardback), ISBN 978-1-118-38798-6}",
journal = j-TECHNOMETRICS,
volume = "63",
number = "2",
pages = "273--275",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2021.1904740",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue May 4 06:18:46 MDT 2021",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "30 Apr 2021",
}
@Article{Lipovetsky:2021:BRLa,
author = "Stan Lipovetsky",
title = "Book Review: {{\booktitle{Learning Microeconometrics
with R}}, by Christopher P. Adams, Chapman and
Hall\slash CRC, Taylor \& Francis Group, Boca Raton,
FL, 2021, ISBN 978-0-367-25538-1, 398 pp., 72 b/w
illustrations, \$99.95}",
journal = j-TECHNOMETRICS,
volume = "63",
number = "3",
pages = "424--425",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2021.1945322",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue Feb 8 08:14:09 MST 2022",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "04 Aug 2021",
}
@Article{Lipovetsky:2021:BRR,
author = "Stan Lipovetsky",
title = "Book Review: {{\booktitle{R for Political Data
Science: A Practical Guide}}, edited by Francisco
Urdinez and Andr{\'e}s Cruz, Chapman and Hall\slash
CRC, Taylor \& Francis Group, Boca Raton, FL, 2021,
ISBN 978-0-367-81889-0, xix + 440 pp., 209 b/w
illustrations, \$99.95 (Hardback)}",
journal = j-TECHNOMETRICS,
volume = "63",
number = "2",
pages = "277--278",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2021.1904743",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue May 4 06:18:46 MDT 2021",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "30 Apr 2021",
}
@Book{Loftus:2021:BSR,
author = "Stephen C. Loftus",
title = "Basic statistics with {R}: reaching decisions with
data",
publisher = pub-ACADEMIC,
address = pub-ACADEMIC:adr,
pages = "xix + 283",
year = "2021",
ISBN = "0-12-820788-4, 0-12-820926-7 (e-book)",
ISBN-13 = "978-0-12-820788-8, 978-0-12-820926-4 (e-book)",
LCCN = "QA276.4",
bibdate = "Thu Sep 14 07:53:50 MDT 2023",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
abstract = "Basic Statistics with R: Reaching Decisions with Data
provides an understanding of the processes at work in
using data for results. Sections cover data collection
and discuss exploratory analyses, including visual
graphs, numerical summaries, and relationships between
variables --- basic probability, and statistical
inference --- including hypothesis testing and
confidence intervals. All topics are taught using
real-data drawn from various fields, including
economics, biology, political science and sports. Using
this wide variety of motivating examples allows
students to directly connect and make statistics
essential to their field of interest, rather than
seeing it as a separate and ancillary knowledge area.
In addition to introducing students to statistical
topics using real data, the book provides a gentle
introduction to coding, having the students use the
statistical language and software R. Students learn to
load data, calculate summary statistics, create graphs
and do statistical inference using R with either
Windows or Macintosh machines.",
acknowledgement = ack-nhfb,
subject = "Statistics; Data processing; R (Computer program
language); Mathematical statistics; Statistique;
Informatique; R (Langage de programmation); Statistique
math{\'e}matique; Data processing.; R (Computer program
language)",
}
@Article{Lonare:2021:ERP,
author = "Gunratan Lonare and Bharat Patil and Nilesh Raut",
title = "\pkg{edgar}: an {R} package for the {U.S. SEC EDGAR}
retrieval and parsing of corporate filings",
journal = j-SOFTWAREX,
volume = "16",
number = "??",
pages = "??--??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100865",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:26 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021001369",
acknowledgement = ack-nhfb,
articleno = "100865",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Luciano:2021:ORP,
author = "Giorgio Luciano and Serena Berretta and Kristian Hovde
Liland and Gavin J. Donley and Simon A. Rogers",
title = "\pkg{oreo}: an {R} package for large amplitude
oscillatory analysis",
journal = j-SOFTWAREX,
volume = "15",
number = "??",
pages = "??--??",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100769",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:25 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271102100087X",
acknowledgement = ack-nhfb,
articleno = "100769",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Lyubchich:2021:ECM,
author = "Vyacheslav Lyubchich",
title = "Elements of Copula Modeling With {R}",
journal = j-TECHNOMETRICS,
volume = "62",
number = "3",
pages = "416--416",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2020.1783949",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Fri Feb 5 17:42:52 MST 2021",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "21 Jul 2020",
}
@Article{Maindonald:2021:BRR,
author = "John H. Maindonald",
title = "Book Review: {{\booktitle{Random Forests with R}},
Robin Genuer and Jean-Michel Poggi Springer, 2019, x +
99 pp, \pounds 49.99, paperback. ISBN:
978-3-030-56484-1}",
journal = j-INT-STAT-REV,
volume = "89",
number = "2",
pages = "422--423",
month = aug,
year = "2021",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12454",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Mon Feb 21 13:22:07 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Int. Stat. Rev.",
fjournal = "International Statistical Review",
journal-URL = "http://www.jstor.org/journals/03067734.html;
https://onlinelibrary.wiley.com/loi/17515823",
onlinedate = "02 June 2021",
}
@Article{Mallik:2021:BRS,
author = "Abhirup Mallik",
title = "Book Review: {{\booktitle{Statistical Rethinking: A
Bayesian Course with Examples in R and Stan}}, edited
by Richard McElreath, Boca Raton, FL: CRC Taylor and
Francis, 2020, xvi + 589 pp., \$94.94 (Hardback), ISBN:
978-0-367-13991-9}",
journal = j-TECHNOMETRICS,
volume = "63",
number = "3",
pages = "440--441",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2021.1945329",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue Feb 8 08:14:09 MST 2022",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "04 Aug 2021",
}
@Article{Narajewski:2021:TRP,
author = "Micha{\l} Narajewski and Jens Kley-Holsteg and Florian
Ziel",
title = "\pkg{tsrobprep} --- an {R} package for robust
preprocessing of time series data",
journal = j-SOFTWAREX,
volume = "16",
number = "??",
pages = "??--??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100809",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Feb 10 10:19:26 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021001084",
acknowledgement = ack-nhfb,
articleno = "100809",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Niu:2021:RPS,
author = "Mu Niu and Joe Wandy and Dirk Husmeier",
title = "{R} package for statistical inference in dynamical
systems using kernel based gradient matching:
\pkg{KGode}",
journal = j-COMP-STAT,
volume = "36",
number = "1",
pages = "715--747",
month = mar,
year = "2021",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-020-01014-x",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Wed Mar 31 14:59:17 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-020-01014-x",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
online-date = "Published: 23 July 2020 Pages: 715 - 747",
}
@Article{Olusoji:2021:PCR,
author = "Oluwafemi D. Olusoji and Jurg W. Spaak and Mark Holmes
and Thomas Neyens and Marc Aerts and Frederik {De
Laender}",
title = "\pkg{cyanoFilter}: an {R} package to identify
phytoplankton populations from flow cytometry data
using cell pigmentation and granularity",
journal = j-ECOL-MODELL,
volume = "460",
number = "??",
pages = "Article 109743",
day = "15",
month = nov,
year = "2021",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2021.109743",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Tue Nov 16 11:09:31 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S030438002100291X",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Pebesma:2021:BRC,
author = "Edzer Pebesma",
title = "Book Review: {Christopher K. Wikle, Andrew
Zammit-Mangion and Noel Cressie (2019):
\booktitle{Spatio-temporal Statistics with R}. Chapman
and Hall\slash CRC, 396 pp. \$47.96 (Hardcover), ISBN
978-1-138-71113-6}",
journal = j-STAT-PAPERS,
volume = "62",
number = "2",
pages = "1093--1094",
month = apr,
year = "2021",
CODEN = "STPAE4",
DOI = "https://doi.org/10.1007/s00362-021-01224-5",
ISSN = "0932-5026 (print), 1613-9798 (electronic)",
ISSN-L = "0932-5026",
bibdate = "Thu Mar 18 06:29:54 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statpapers.bib",
URL = "https://link.springer.com/article/10.1007/s00362-021-01224-5",
acknowledgement = ack-nhfb,
fjournal = "Statistical Papers",
journal-URL = "http://link.springer.com/journal/362",
online-date = "Published: 12 February 2021 Pages: 1093 - 1094",
}
@Article{Podgorski:2021:BRC,
author = "Krzysztof Podg{\'o}rski",
title = "Book Review: {{\booktitle{Computational Genomics with
R}}, Altuna Akalin Chapman and {Hall\slash CRC}, 2021,
xxii + 440 pages, \pounds 99.99, hardcover ISBN:
978-1-4987-8185-5}",
journal = j-INT-STAT-REV,
volume = "89",
number = "2",
pages = "420--421",
month = aug,
year = "2021",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12453",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Mon Feb 21 13:22:07 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Int. Stat. Rev.",
fjournal = "International Statistical Review",
journal-URL = "http://www.jstor.org/journals/03067734.html;
https://onlinelibrary.wiley.com/loi/17515823",
onlinedate = "06 June 2021",
}
@Article{Qin:2021:SLI,
author = "Lu Qin and Jihong Zhang and Xinya Liang and Qianqian
Pan",
title = "{$R$}-squared of a Latent Interaction in Structural
Equation Model: a Tutorial of Using {R}",
journal = j-INT-J-STAT-PROBAB,
volume = "10",
number = "3",
pages = "69--??",
month = "????",
year = "2021",
CODEN = "????",
ISSN = "1927-7032 (print), 1927-7040 (electronic)",
ISSN-L = "1927-7032",
bibdate = "Fri May 21 15:18:37 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intjstatprobab.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.ccsenet.org/journal/index.php/ijsp/article/view/0/45113",
acknowledgement = ack-nhfb,
fjournal = "International Journal of Statistics and Probability",
journal-URL = "http://www.ccsenet.org/journal/index.php/ijsp/issue/archive",
}
@Article{Raim:2021:STC,
author = "Andrew M. Raim and Scott H. Holan and Christopher K.
Wikle",
title = "Spatio-temporal change of support modeling with {R}",
journal = j-COMP-STAT,
volume = "36",
number = "1",
pages = "749--780",
month = mar,
year = "2021",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-020-01029-4",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Wed Mar 31 14:59:17 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-020-01029-4",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
online-date = "Published: 23 September 2020 Pages: 749 - 780",
}
@Article{Sauter:2021:BRA,
author = "Roger M. Sauter",
title = "Book Review: {{\booktitle{Advanced R}}} (2nd ed.)",
journal = j-TECHNOMETRICS,
volume = "62",
number = "3",
pages = "417--417",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2020.1783959",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Fri Feb 5 17:42:52 MST 2021",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "21 Jul 2020",
}
@Article{Shalabh:2021:BRI,
author = "Shalabh",
title = "Book Review: {{\booktitle{Interactive Web-Based Data
Visualization with R, \pkg{plotly}, and
\pkg{shiny}}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "184",
number = "3",
pages = "1150--1150",
month = jul,
year = "2021",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12692",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Jan 21 10:59:38 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "11 April 2021",
}
@Article{Shalabh:2021:BRR,
author = "Shalabh",
title = "Book Review: {{\booktitle{R Markdown Cookbook}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "184",
number = "4",
pages = "1613--1613",
month = oct,
year = "2021",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12743",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Jan 21 10:59:39 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "23 August 2021",
}
@Article{Shanmugam:2021:BRM,
author = "Ramalingam Shanmugam",
title = "Book Review: {{\booktitle{Multilevel modeling using
R}}, by W. Holmes Finch, Jocelyn E. Bolin and Ken
Kelley, 6000 Broken Sound Parkway NW, Suite 300, Boca
Raton, FL 33487, CRC Press, 2014, xiii + 216 pp.,
\$50.99 (paperback), ISBN 13: 978-1-4665-1585-7}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "91",
number = "1",
pages = "216--217",
year = "2021",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2020.1805564",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Fri Jan 8 07:38:47 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "28 Aug 2020",
}
@Article{Shanmugam:2021:OAS,
author = "Ramalingam Shanmugam",
title = "Omic association studies with {R} and {Bioconductor}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "91",
number = "3",
pages = "648--649",
year = "2021",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2020.1805566",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Sat Feb 6 15:37:14 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "13 Aug 2020",
}
@Article{Skrabanek:2021:AFR,
author = "Pavel Skrab{\'a}nek and Nat{\'a}lia
Mart{\'\i}nkov{\'a}",
title = "{Algorithm 1017}: \pkg{fuzzyreg}: an {R} Package for
Fitting Fuzzy Regression Models",
journal = j-TOMS,
volume = "47",
number = "3",
pages = "29:1--29:18",
month = jun,
year = "2021",
CODEN = "ACMSCU",
DOI = "https://doi.org/10.1145/3451389",
ISSN = "0098-3500 (print), 1557-7295 (electronic)",
ISSN-L = "0098-3500",
bibdate = "Sun Jun 27 07:42:02 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/toms.bib",
URL = "https://dl.acm.org/doi/10.1145/3451389",
abstract = "Fuzzy regression provides an alternative to
statistical regression when the model is indefinite,
the relationships between model parameters are vague,
the sample size is low, or the data are hierarchically
structured. Such cases allow to consider the choice of
a regression model based on the fuzzy set theory. In
fuzzyreg, we implement fuzzy linear regression methods
that differ in the expectations of observational data
types, outlier handling, and parameter estimation
method. We provide a wrapper function that prepares
data for fitting fuzzy linear models with the
respective methods from a syntax established in R for
fitting regression models. The function fuzzylm thus
provides a novel functionality for R through
standardized operations with fuzzy numbers. Additional
functions allow for conversion of real-value variables
to be fuzzy numbers, printing, summarizing, model
plotting, and calculation of model predictions from new
data using supporting functions that perform arithmetic
operations with triangular fuzzy numbers. Goodness of
fit and total error of the fit measures allow model
comparisons. The package contains a dataset named bats
with measurements of temperatures of hibernating bats
and the mean annual surface temperature reflecting the
climate at the sampling sites. The predictions from
fuzzy linear models fitted to this dataset correspond
well to the observed biological phenomenon. Fuzzy
linear regression has great potential in predictive
modeling where the data structure prevents statistical
analysis and the modeled process exhibits inherent
fuzziness.",
acknowledgement = ack-nhfb,
articleno = "29",
fjournal = "ACM Transactions on Mathematical Software (TOMS)",
journal-URL = "https://dl.acm.org/loi/toms",
}
@Article{Stadtlander:2021:BRA,
author = "Christian T. K.-H. Stadtl{\"a}nder",
title = "Book Review: {{\booktitle{Analysis of correlated data
with SAS and R}} (4th ed.), by Mohamed M. Shoukri, Boca
Raton, FL, CRC Press, 2018, 497 + xv pp., \$139.95
(hardback), ISBN: 978-1-138-19745-9}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "91",
number = "7",
pages = "1478--1479",
year = "2021",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2020.1858008",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Thu Apr 29 09:22:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "24 Dec 2020",
}
@Article{Thomas:2021:LHM,
author = "Samuel Thomas and Wanzhu Tu",
title = "Learning {Hamiltonian Monte Carlo} in {R}",
journal = j-AMER-STAT,
volume = "75",
number = "4",
pages = "403--413",
year = "2021",
CODEN = "ASTAAJ",
DOI = "https://doi.org/10.1080/00031305.2020.1865198",
ISSN = "0003-1305 (print), 1537-2731 (electronic)",
ISSN-L = "0003-1305",
bibdate = "Mon Feb 7 07:35:06 MST 2022",
bibsource = "http://www.tandfonline.com/toc/utas20/75/4;
https://www.math.utah.edu/pub/tex/bib/amstat2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/00031305.2020.1865198",
acknowledgement = ack-nhfb,
fjournal = "The American Statistician",
journal-URL = "http://amstat.tandfonline.com/loi/utas20",
}
@Article{Tu:2021:BRS,
author = "Yu-Kang Tu",
title = "Book Review: {{\booktitle{Structural equation modeling
with partial least squares using Stata and R}} by
Mehmet Mehmetoglu and Sergio Venturini Boca Raton, FL,
USA : Chapman and Hall\slash CRC, 2021. Hard cover. pp.
382. \pounds 99.99}",
journal = j-BIOMETRICS,
volume = "77",
number = "3",
pages = "1130--1131",
month = sep,
year = "2021",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13533",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Sun Feb 6 08:51:21 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "28 September 2021",
}
@Article{Vishwakarma:2021:BRS,
author = "Srishti Vishwakarma and Vyacheslav Lyubchich",
title = "Book Review: {{\booktitle{Spatial Ecology and
Conservation Modeling: Applications With R}}}",
journal = j-TECHNOMETRICS,
volume = "62",
number = "3",
pages = "416--417",
year = "2021",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2020.1783950",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Fri Feb 5 17:42:52 MST 2021",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "21 Jul 2020",
}
@Article{Wang:2021:GRP,
author = "Xiao Wang and Dan Hao and Haja N. Kadarmideen",
title = "\pkg{GeneDMRs}: an {R} Package for Gene-Based
Differentially Methylated Regions Analysis",
journal = j-J-COMPUT-BIOL,
volume = "28",
number = "3",
pages = "304--316",
month = mar,
year = "2021",
CODEN = "JCOBEM",
DOI = "https://doi.org/10.1089/cmb.2020.0081",
ISSN = "1066-5277 (print), 1557-8666 (electronic)",
ISSN-L = "1066-5277",
bibdate = "Wed Mar 31 17:24:03 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputbiol.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.liebertpub.com/doi/abs/10.1089/cmb.2020.0081;
https://www.liebertpub.com/doi/pdf/10.1089/cmb.2020.0081",
acknowledgement = ack-nhfb,
fjournal = "Journal of Computational Biology",
journal-URL = "https://www.liebertpub.com/loi/cmb/",
onlinedate = "13 November 2020",
}
@Book{Xie:2021:RMC,
author = "Yihui Xie and Christophe Dervieux and Emily Riederer",
title = "{R} Markdown Cookbook",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xxix + 329",
year = "2021",
DOI = "https://doi.org/10.1201/9781003097471",
ISBN = "0-367-56382-7 (hardcover), 0-367-56383-5 (paperback),
1-000-29080-8 (e-book), 1-000-29084-0 (Mobipocket
e-book), 1-000-29088-3 (e-book), 1-003-09747-2
(e-book)",
ISBN-13 = "978-1-000-29088-2",
LCCN = "QA276.45.R3 X54 2021",
bibdate = "Mon Jan 24 16:22:12 MST 2022",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "The R series",
abstract = "This new book written by the developers of R Markdown
is an essential reference that will help users learn
and make full use of the software. Those new to R
Markdown will appreciate the short, practical examples
that address the most common issues users encounter.
Frequent users will also benefit from the wide ranging
tips and tricks that expose hidden' features, support
customization and demonstrate the many new and varied
applications of the software. After reading this book
users will learn how to: Enhance your R Markdown
content with diagrams, citations, and dynamically
generated text Streamline your workflow with child
documents, code chunk references, and caching Control
the formatting and layout with Pandoc markdown syntax
or by writing custom HTML and LaTeX templates Utilize
chunk options and hooks to fine-tune how your code is
processed Switch between different language engineers
to seamlessly incorporate python, D3, and more into
your analysis.",
acknowledgement = ack-nhfb,
subject = "Markdown (Document markup language); R (Computer
program language); Markdown (Document markup language);
R (Computer program language); MATHEMATICS /
Probability and Statistics / General",
tableofcontents = "1: Installation / 5 pages \\
2: Conceptual Overview / 11 pages \\
3: Basics / 8 pages \\
4: Document Elements / 32 pages \\
5: Formatting / 18 pages \\
6: LaTeX Output / 19 pages \\
7: HTML Output / 27 pages \\
8: Word / 8 pages \\
9: Multiple Output Formats / 16 pages \\
10: Tables / 25 pages \\
11: Chunk Options / 29 pages \\
12: Output Hooks (*) / 16 pages \\
13: Chunk Hooks (*) / 11 pages \\
14: Miscellaneous knitr Tricks / 19 pages \\
15: Other Languages / 18 pages \\
16: Managing Projects / 19 pages \\
17: Workflow / 11 pages",
}
@Article{Zuccolotto:2021:AOB,
author = "Paola Zuccolotto and Marica Manisera and Marco
Sandri",
title = "Alley-oop! {Basketball} analytics in {R}",
journal = j-SIGNIF,
volume = "18",
number = "2",
pages = "26--31",
month = apr,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1111/1740-9713.01507",
ISSN = "1740-9705 (print), 1740-9713 (electronic)",
ISSN-L = "1740-9705",
bibdate = "Mon May 17 15:57:33 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/significance.bib",
acknowledgement = ack-nhfb,
ajournal = "",
fjournal = "Significance",
journal-URL = "https://rss.onlinelibrary.wiley.com/journal/17409713",
onlinedate = "26 March 2021",
}
@Article{Abdollahi:2022:CRB,
author = "Masoud Abdollahi and Babak Farjad and Anil Gupta and
Quazi K. Hassan",
title = "\pkg{CMIP6-D\&A}: an {R}-based software with {GUI} for
processing climate data available in network common
data format",
journal = j-SOFTWAREX,
volume = "18",
number = "??",
pages = "??--??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2022.101044",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 2 09:45:22 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711022000395",
acknowledgement = ack-nhfb,
articleno = "101044",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Arifin:2022:CPV,
author = "Wan Nor Arifin and Umi Kalsom Yusof",
title = "Correcting for partial verification bias in diagnostic
accuracy studies: a tutorial using {R}",
journal = j-STAT-MED,
volume = "41",
number = "9",
pages = "1709--1727",
day = "30",
month = apr,
year = "2022",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.9311",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Wed Apr 13 08:44:08 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2020.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "18 January 2022",
}
@Article{Azais:2022:CRP,
author = "R. Aza{\"\i}s and S. Ferrigno and M.-J. Martinez",
title = "\pkt{cvmgof}: an {R} package for {Cram{\'e}r--von
Mises} goodness-of-fit tests in regression models",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "92",
number = "6",
pages = "1246--1266",
year = "2022",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2021.1991346",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Fri Mar 18 05:56:55 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "21 Oct 2021",
}
@Article{Caporin:2022:BRS,
author = "Massimiliano Caporin",
title = "Book Review: {{\booktitle{Statistical Analysis of
Financial Data: with Examples In R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "1",
pages = "432--433",
month = jan,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12764",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Jan 21 10:59:40 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "25 October 2021",
}
@Article{Chaturvedi:2022:BRH,
author = "Anoop Chaturvedi",
title = "Book Review: {{\booktitle{Handbook of Regression
Analysis with Applications in R}} (Second Edition)}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "S2",
pages = "S777--S778",
month = dec,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12943",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Oct 11 16:23:30 MDT 2023",
bibsource = "https://academic.oup.com/jrsssa/;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://academic.oup.com/jrsssa/article/185/Supplement_2/S777/7069518",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Chen:2022:IDS,
author = "Li-Pang Chen",
title = "Introduction to data science: Data analysis and
prediction algorithms with {R}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "733--734",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12781",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "16 November 2021",
}
@Article{Choe:2022:BRI,
author = "Youngjun Choe",
title = "Book Review: {{\booktitle{An Introduction to
Acceptance Sampling and SPC with R}}, John Lawson, Boca
Raton, FL, Chapman \& Hall\slash CRC Press, 2021, xvii
+ 280 pp., \$150.00(H), \$59.95(e-book), ISBN
978-0-367-56995-2(H), 978-1-003-10027-0(e-book)}",
journal = j-J-AM-STAT-ASSOC,
volume = "117",
number = "537",
pages = "528--528",
year = "2022",
CODEN = "JSTNAL",
DOI = "https://doi.org/10.1080/01621459.2022.2035160",
ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Sat Jun 4 10:49:20 MDT 2022",
bibsource = "http://www.tandfonline.com/toc/uasa20/117/537;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
onlinedate = "24 Mar 2022",
}
@Article{Chowdhry:2022:BRA,
author = "Amit K. Chowdhry",
title = "Book review of {{\booktitle{Applied Meta-Analysis with
R and Stata}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "728--729",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12776",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "24 November 2021",
}
@Article{Eyles:2022:BML,
author = "Emily Eyles",
title = "Beyond Multiple Linear Regression: Applied Generalized
Linear Models and Multilevel Models in {R}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "726--727",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12773",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "02 November 2021",
}
@Article{Fusfeld:2022:BRS,
author = "Zachary Fusfeld",
title = "Book Review: {{\booktitle{Statistical inference via
data science: a modern dive into R and the Tidyverse,
Ismay, Chester and Kim}}, Albert Y. Boca Raton, FL:
Chapman and Hall\slash CRC, 2019. pp. 460}",
journal = j-BIOMETRICS,
volume = "78",
number = "1",
pages = "410--412",
month = mar,
year = "2022",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1111/biom.13620",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Wed Apr 13 06:21:43 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "31 March 2022",
}
@Article{Gelis:2022:DPC,
author = "M. M. Nicolosi Gelis and M. B. Sathicq and J. Jupke
and J. Cochero",
title = "{DiaThor}: {R} package for computing diatom metrics
and biotic indices",
journal = j-ECOL-MODELL,
volume = "465",
number = "??",
pages = "Article 109859",
month = mar,
year = "2022",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2021.109859",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Wed Jan 26 07:08:21 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380021003975",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Green:2022:BRS,
author = "Nathan Green",
title = "Book Review: {{\booktitle{Statistical Rethinking: A
Bayesian Course with Examples in R and Stan}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "1",
pages = "426--427",
month = jan,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12755",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Fri Jan 21 10:59:40 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X",
onlinedate = "02 November 2021",
}
@Article{Greenacre:2022:BRR,
author = "Michael Greenacre",
title = "Book Review: {{\booktitle{{R} for Health Data
Science}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "S2",
pages = "S765--S766",
month = dec,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12851",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Oct 11 16:23:30 MDT 2023",
bibsource = "https://academic.oup.com/jrsssa/;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://academic.oup.com/jrsssa/article/185/Supplement_2/S765/7069548",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Helske:2022:EBG,
author = "Jouni Helske",
title = "Efficient {Bayesian} generalized linear models with
time-varying coefficients: the \pkg{walker} package in
{R}",
journal = j-SOFTWAREX,
volume = "18",
number = "??",
pages = "??--??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2022.101016",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 2 09:45:22 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271102200022X",
acknowledgement = ack-nhfb,
articleno = "101016",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Hori:2022:IRTa,
author = "Kazuki Hori and Hirotaka Fukuhara and Tsuyoshi
Yamada",
title = "Item response theory and its applications in
educational measurement. {Part I}: Item response theory
and its implementation in {R}",
journal = j-WIRES,
volume = "14",
number = "2",
pages = "e1531:1--e1531:??",
month = mar # "--" # apr,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1531",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Wed Apr 13 07:13:22 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "13 October 2020",
}
@Article{Hossain:2022:AUB,
author = "Md. Moyazzem Hossain",
title = "Applied univariate, bivariate, and multivariate
statistics: {Understanding} statistics for social and
natural scientists, with applications in {SPSS} and
{R}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "727--728",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12775",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/spss.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "10 November 2021",
}
@Article{Hossain:2022:BRL,
author = "Md. Moyazzem Hossain",
title = "Book Review: {{\booktitle{Linear Regression Models:
Applications in R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "S2",
pages = "S771--S771",
month = dec,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12881",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Oct 11 16:23:30 MDT 2023",
bibsource = "https://academic.oup.com/jrsssa/;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://academic.oup.com/jrsssa/article/185/Supplement_2/S771/7069536",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Hossain:2022:SRM,
author = "Md. Moyazzem Hossain",
title = "Statistical regression modeling with {R}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "743--744",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12817",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "03 February 2022",
}
@Article{Kitada:2022:SUE,
author = "Shuichi Kitada and Hirohisa Kishino",
title = "An {R} script for unbiased estimation of stocking
effectiveness using a two-stage sampling strategy based
on fishery landings",
journal = j-FISH-RES,
volume = "250",
number = "??",
pages = "Article 106266",
month = jun,
year = "2022",
CODEN = "FISRDJ",
DOI = "https://doi.org/10.1016/j.fishres.2022.106266",
ISSN = "0165-7836 (print), 1872-6763 (electronic)",
ISSN-L = "0165-7836",
bibdate = "Mon Mar 28 06:20:50 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fishres2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0165783622000431",
acknowledgement = ack-nhfb,
ajournal = "Fish. Res.",
fjournal = "Fisheries Research",
journal-URL = "https://www.sciencedirect.com/journal/fisheries-research",
}
@Book{Korosteleva:2022:SPR,
author = "Olga Korosteleva",
title = "Stochastic Processes with {R}: an Introduction",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "ix + 190",
year = "2022",
ISBN = "1-032-15373-3 (hardcover), 1-032-15473-X (paperback),
1-000-53733-1 (PDF), 1-000-53737-4 (EPUB),
1-003-24428-9 (e-book)",
ISBN-13 = "978-1-032-15373-5 (hardcover), 978-1-032-15473-2
(paperback), 978-1-000-53733-8 (PDF), 978-1-000-53737-6
(EPUB), 978-1-003-24428-8 (e-book)",
LCCN = "QA274 .K6745 2022",
bibdate = "Tue Aug 22 09:53:55 MDT 2023",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC texts in statistical science",
abstract = "Stochastic Processes with R: An Introduction cuts
through the heavy theory that is present in most
courses on random processes and serves as practical
guide to simulated trajectories and real-life
applications for stochastic processes. The light yet
detailed text provides a solid foundation that is an
ideal companion for undergraduate statistics students
looking to familiarise themselves with stochastic
processes before going onto more advanced courses. Key
Features: * Provides complete R codes for all
simulations and calculations * Substantial scientific
or popular applications of each process with occasional
statistical analysis. * Helpful definitions and
examples are provided for each process. * End of
chapter exercises cover theoretical applications and
practice calculations.",
acknowledgement = ack-nhfb,
subject = "Stochastic processes; Data processing; R (Computer
program language); Processus stochastiques;
Informatique; R (Langage de programmation)",
tableofcontents = "Preface \\
1: Stochastic Process. Discrete-time Markov Chain \\
2: Random Walk \\
3: Poisson Process \\
4: Nonhomogeneous Poisson Process 5: Compound Poisson
Process \\
6: Conditional Poisson Process \\
7: Birth-and-Death Process \\
8: Branching Process \\
9: Brownian Motion \\
Recommended books \\
List of Notation \\
Index",
}
@Article{Lipovetsky:2022:BRH,
author = "Stan Lipovetsky",
title = "Book Review: {{\booktitle{Handbook of Regression
Modeling in People Analytics: With Examples in R and
Python}}, by Keith McNulty. CRC Press, Taylor \&
Francis Group, Boca Raton, FL, 2021, ISBN
978-1-032-04174-2, xvi + 255 pp., 48 color
illustrations, \$63.96 (hbk).}",
journal = j-TECHNOMETRICS,
volume = "64",
number = "1",
pages = "143--145",
year = "2022",
CODEN = "TCMTA2",
DOI = "https://doi.org/10.1080/00401706.2021.2021005",
ISSN = "0040-1706 (print), 1537-2723 (electronic)",
ISSN-L = "0040-1706",
bibdate = "Tue Feb 8 08:14:10 MST 2022",
bibsource = "http://www.tandf.co.uk/journals/titles/00401706.html;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/technometrics2020.bib",
acknowledgement = ack-nhfb,
fjournal = "Technometrics",
journal-URL = "http://www.tandfonline.com/loi/utch20",
onlinedate = "31 Jan 2022",
}
@Article{McNicholl:2022:BRP,
author = "Colin McNicholl",
title = "Book Review: {{\booktitle{Project-Based R Companion to
Introductory Statistics}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "S2",
pages = "S768--S768",
month = dec,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12863",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Oct 11 16:23:30 MDT 2023",
bibsource = "https://academic.oup.com/jrsssa/;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://academic.oup.com/jrsssa/article/185/Supplement_2/S768/7069528",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{MeloAlbuquerque:2022:PRD,
author = "Pedro Henrique {Melo Albuquerque} and Gustavo
Monteiro",
title = "\pkg{RMCriteria}: a decision making support system
package for {R}",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "51",
number = "6",
pages = "3259--3271",
year = "2022",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2019.1711408",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Wed Jun 15 06:31:47 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "13 Jan 2020",
}
@Article{MeSilva:2022:PMR,
author = "W. V. {M.e Silva} and F. F. do Nascimento",
title = "\pkg{MCMC4Extremes}: an {R} package for {Bayesian}
inference for extremes and its extensions",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "51",
number = "2",
pages = "432--442",
year = "2022",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2019.1653914",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Mon Feb 21 12:11:52 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "20 Aug 2019",
}
@Article{Pagano:2022:EEM,
author = "Davide Pagano and Lorenzo Sostero",
title = "\pkg{EmiR}: {Evolutionary} minimization for {R}",
journal = j-SOFTWAREX,
volume = "18",
number = "??",
pages = "??--??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2022.101083",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 2 09:45:22 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711022000590",
acknowledgement = ack-nhfb,
articleno = "101083",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Robert:2022:LBR,
author = "Christian Robert",
title = "{{\booktitle{Learning Base R}}} (2nd edition)",
journal = j-CHANCE,
volume = "35",
number = "2",
pages = "46--47",
year = "2022",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2022.2066419",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Sat Jun 4 14:19:58 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/09332480.2022.2066419",
acknowledgement = ack-nhfb,
fjournal = "Chance",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
}
@Book{Sahu:2022:BMS,
author = "Sujit K. Sahu",
title = "{Bayesian} modeling of spatio-temporal data with {R}",
publisher = pub-CHAPMAN-HALL-CRC,
address = pub-CHAPMAN-HALL-CRC:adr,
pages = "xxii + 411",
year = "2022",
DOI = "https://doi.org/10.1201/9780429318443",
ISBN = "0-367-27798-0 (hardcover), 1-032-20957-7 (paperback),
1-000-54369-2 (e-book)",
ISBN-13 = "978-0-367-27798-7 (hardcover), 978-1-032-20957-9
(paperback), 978-1-000-54369-8 (e-book)",
LCCN = "QA278.2; QA279.5 .S34 2022; HA30.6 .S24 2022",
bibdate = "Mon May 8 14:18:06 MDT 2023",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Chapman and Hall/CRC interdisciplinary statistics
series",
acknowledgement = ack-nhfb,
subject = "Spatial analysis (Statistics); Mathematical models;
Bayesian statistical decision theory; Data processing;
R (Computer program language); Analyse spatiale
(Statistique); Mod{\'e}les math{\'e}matiques;
Th{\'e}orie de la d{\'e}cision bay{\'e}sienne;
Informatique; R (Langage de programmation); Data
processing.; R (Computer program language)",
tableofcontents = "1. Examples of spatio-temporal data \\
2. Jargon of spatial and spatio-temporal modeling\\
3. Exploratory data analysis methods\\
4. Bayesian inference methods\\
5. Bayesian computation methods\\
6. Bayesian modeling for point referenced spatial
data\\
7. Bayesian modeling for point referenced
spatio-temporal data\\
8. Practical examples of point referenced data
modeling\\
9. Bayesian forecasting for point referenced data\\
10. Bayesian modeling for areal unit data\\
11. Further examples of areal data modeling\\
12. Gaussian processes for data science and other
applications\\
Appendix A. Statistical densities used in the book\\
Appendix B. Answers to selected exercises",
}
@Article{Schrenk:2022:QRP,
author = "Hannah Schrenk and Carlos Garcia-Perez and Nico
Schreiber and Wolfgang zu Castell",
title = "\pkg{QtAC}: an {R}-package for analyzing complex
systems development in the framework of the adaptive
cycle metaphor",
journal = j-ECOL-MODELL,
volume = "466",
number = "??",
pages = "Article 109860",
month = apr,
year = "2022",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2021.109860",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Fri Feb 25 12:25:04 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380021003987",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Shalabh:2022:BRP,
author = "Shalabh",
title = "Book Review: {{\booktitle{Probability, Statistics, and
Data: a Fresh Approach Using R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "S2",
pages = "S776--S777",
month = dec,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12958",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Oct 11 16:23:30 MDT 2023",
bibsource = "https://academic.oup.com/jrsssa/;
https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://academic.oup.com/jrsssa/article/185/Supplement_2/S776/7069519",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Shalabh:2022:MDS,
author = "Shalabh",
title = "Modern data science with {R}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "735--736",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12784",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "16 November 2021",
}
@Article{Shalabh:2022:UBM,
author = "Shalabh",
title = "Univariate, bivariate and multivariate statistics
using {R}: Quantitative tools for data analysis and
data science",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "2",
pages = "736--737",
month = apr,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12791",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Sat Jun 4 10:41:33 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "J. R. Stat. Soc. Ser. A Stat. Soc.",
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-985X;
http://www.jstor.org/journals/09641998.html",
onlinedate = "07 December 2021",
}
@Article{Sharma:2022:DRP,
author = "Parichit Sharma and Hasan Kurban and Mehmet Dalkilic",
title = "\pkg{DCEM}: an {R} package for clustering big data via
data-centric modification of {Expectation
Maximization}",
journal = j-SOFTWAREX,
volume = "17",
number = "??",
pages = "??--??",
month = jan,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2021.100944",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Mon Feb 28 10:41:25 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711021001771",
acknowledgement = ack-nhfb,
articleno = "100944",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Smith:2022:ICC,
author = "Matthew J. Smith and Mohammad A. Mansournia and
Camille Maringe and Paul N. Zivich and Stephen R. Cole
and Cl{\'e}mence Leyrat and Aur{\'e}lien Belot and
Bernard Rachet and Miguel A. Luque-Fernandez",
title = "Introduction to computational causal inference using
reproducible {Stata}, {R}, and {Python} code: a
tutorial",
journal = j-STAT-MED,
volume = "41",
number = "2",
pages = "407--432",
day = "30",
month = jan,
year = "2022",
CODEN = "SMEDDA",
DOI = "https://doi.org/10.1002/sim.9234",
ISSN = "0277-6715 (print), 1097-0258 (electronic)",
ISSN-L = "0277-6715",
bibdate = "Tue Feb 22 08:38:44 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/statmed2020.bib",
acknowledgement = ack-nhfb,
ajournal = "Stat. Med.",
fjournal = "Statistics in Medicine",
journal-URL = "https://onlinelibrary.wiley.com/journal/10970258",
onlinedate = "28 October 2021",
}
@Article{Taketomi:2022:MSR,
author = "Nanami Taketomi and Hirofumi Michimae and Yuan-Tsung
Chang and Takeshi Emura",
title = "\pkg{meta.shrinkage}: an {R} Package for Meta-Analyses
for Simultaneously Estimating Individual Means",
journal = j-ALGORITHMS-BASEL,
volume = "15",
number = "1",
month = jan,
year = "2022",
CODEN = "ALGOCH",
DOI = "https://doi.org/10.3390/a15010026",
ISSN = "1999-4893 (electronic)",
ISSN-L = "1999-4893",
bibdate = "Thu Jan 20 09:11:20 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/algorithms.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.mdpi.com/1999-4893/15/1/26",
acknowledgement = ack-nhfb,
articleno = "26",
fjournal = "Algorithms (Basel)",
journal-URL = "https://www.mdpi.com/journal/algorithms",
pagecount = "??",
}
@Article{Teimouri:2022:BRP,
author = "Mahdi Teimouri",
title = "\pkg{bccp}: an {R} package for life-testing and
survival analysis",
journal = j-COMP-STAT,
volume = "37",
number = "1",
pages = "469--489",
month = mar,
year = "2022",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-021-01129-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Sat Jun 4 09:50:53 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-021-01129-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Teimouri:2022:MRP,
author = "Mahdi Teimouri and Saralees Nadarajah",
title = "\pkg{MPS}: an {R} package for modelling shifted
families of distributions",
journal = j-ANZJS,
volume = "64",
number = "1",
pages = "86--108",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1111/anzs.12359",
ISSN = "1369-1473 (print), 1467-842X (electronic)",
ISSN-L = "1369-1473",
bibdate = "Sat Jun 3 15:32:05 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/anzjs.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Austral. \& New Zealand J. Statist.",
fjournal = "Australian \& New Zealand Journal of Statistics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-842X/issues",
onlinedate = "14 April 2022",
}
@Article{Todd:2022:BRS,
author = "James Todd",
title = "Book Review: {{\booktitle{Supervised Machine Learning
for Text Analysis in R}}}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "185",
number = "S2",
pages = "S770--S770",
month = dec,
year = "2022",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1111/rssa.12878",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Wed Oct 11 16:23:30 MDT 2023",
bibsource = "https://academic.oup.com/jrsssa/;
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author = "Melina Vidoni",
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author = "Amber W. Wang",
title = "Book Review: {{\booktitle{Omic association studies
with R and bioconductor}}: Gonzalez, Juan R. and
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onlinedate = "31 March 2022",
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author = "Fangzhou Xie",
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journal = j-SOFTWAREX,
volume = "17",
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acknowledgement = ack-nhfb,
articleno = "100965",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
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@Article{Xu:2022:OPO,
author = "Hongyan Xu and Ayten Yigiter and Jie Chen",
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volume = "17",
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pages = "??--??",
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articleno = "100999",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
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author = "Antonio Calcagn{\`\i} and Massimiliano Pastore and
Gianmarco Alto{\'e}",
title = "{ssMousetrack} --- Analysing Computerized Tracking
Data via {Bayesian} State-Space Models in {R}",
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volume = "25",
number = "3",
pages = "??--??",
month = sep,
year = "2020",
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DOI = "https://doi.org/10.3390/mca25030041",
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URL = "https://www.mdpi.com/2297-8747/25/3/41",
acknowledgement = ack-nhfb,
ajournal = "Math. Comput. Appl.",
articleno = "41",
fjournal = "Mathematical and Computational Applications",
journal-URL = "https://www.mdpi.com/journal/mca",
}
@Article{delCastillo:2022:CRL,
author = "Enrique del Castillo and Peng Chen and Adam Meyers and
John Hunt and James Rapkin",
title = "Confidence regions for the location of response
surface optima: the {R} package \pkg{OptimaRegion}",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "51",
number = "12",
pages = "7074--7094",
year = "2022",
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journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "24 Sep 2020",
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@Article{Demirtas:2022:MDG,
author = "H. Demirtas and R. Gao",
title = "Mixed data generation packages and related
computational tools in {R}",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "51",
number = "8",
pages = "4520--4563",
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acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "25 Mar 2020",
}
@Article{Amini:2023:HRP,
author = "Morteza Amini and Afarin Bayat and Reza Salehian",
title = "\pkg{hhsmm}: an {R} package for hidden hybrid
{Markov}\slash semi-{Markov} models",
journal = j-COMP-STAT,
volume = "38",
number = "3",
pages = "1283--1335",
month = sep,
year = "2023",
CODEN = "CSTAEB",
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ajournal = "Comp. Stat.",
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author = "Aszani Aszani",
title = "Book Review: {{\booktitle{Machine Learning for
Knowledge Discovery with R: Methodologies for Modeling,
Inference, and Prediction}}, Kao-Tai Tsai, Boca Raton,
FL: CRC Press, Taylor& Francis Group, LLC, 2022, xiii +
260 pp., \$88.00, ISBN: 978-1-032-06536-6 (H)}",
journal = j-TECHNOMETRICS,
volume = "65",
number = "4",
pages = "607--609",
year = "2023",
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DOI = "https://doi.org/10.1080/00401706.2023.2262891",
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ISSN-L = "0040-1706",
bibdate = "Tue Apr 30 11:35:49 MDT 2024",
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https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
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@Article{Brown:2023:ARP,
author = "David Brown and Kau{\^e} de Sousa and Jacob van
Etten",
title = "\pkg{ag5Tools}: an {R} package for downloading and
extracting agrometeorological data from the {AgERA5}
database",
journal = j-SOFTWAREX,
volume = "21",
number = "??",
pages = "??--??",
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URL = "http://www.sciencedirect.com/science/article/pii/S2352711022001856",
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articleno = "101267",
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}
@Article{Cabrera:2023:PMR,
author = "Juan M. Cabrera and Julieta Capeletti",
title = "\pkg{metrix}: an {R} package for assessing the
biological quality of water",
journal = j-ECOL-MODELL,
volume = "484",
number = "??",
pages = "??--??",
month = oct,
year = "2023",
CODEN = "ECMODT",
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bibdate = "Wed Aug 30 15:59:51 MDT 2023",
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URL = "http://www.sciencedirect.com/science/article/pii/S030438002300203X",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
articleno = "110473",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
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@Article{Chen:2023:BRF,
author = "Li-Pang Chen",
title = "Book Review: {{\booktitle{Fundamentals of
high-dimensional statistics: with exercises and R
Labs}}. By Johannes Lederer, Springer International
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journal = j-BIOMETRICS,
volume = "79",
number = "3",
pages = "2772--2773",
month = sep,
year = "2023",
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ajournal = "Biometrics",
fjournal = "Biometrics",
journal-URL = "http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1541-0420",
onlinedate = "12 September 2023",
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author = "Adrian A. Correndo and Austin Pearce and Carl H.
Bolster and John T. Spargo and Deanna Osmond and
Ignacio A. Ciampitti",
title = "The \pkg{soiltestcorr} {R} package: an accessible
framework for reproducible correlation analysis of crop
yield and soil test data",
journal = j-SOFTWAREX,
volume = "21",
number = "??",
pages = "??--??",
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acknowledgement = ack-nhfb,
articleno = "101275",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{deSousa:2023:GRP,
author = "Kau{\^e} de Sousa and David Brown and Jonathan Steinke
and Jacob van Etten",
title = "\pkg{gosset}: an {R} package for analysis and
synthesis of ranking data in agricultural
experimentation",
journal = j-SOFTWAREX,
volume = "22",
number = "??",
pages = "??--??",
month = may,
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articleno = "101402",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
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author = "Elvira {Di Nardo} and Giuseppe Guarino",
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journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "52",
number = "11",
pages = "5727--5737",
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fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "04 Nov 2021",
}
@Article{Dissanayake:2023:TSA,
author = "Gnanadarsha Sanjaya Dissanayake",
title = "Time-Series Analysis for the State-Space Model with
\pkg{R/Stan}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "186",
number = "1",
pages = "164--165",
month = jan,
year = "2023",
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acknowledgement = ack-nhfb,
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(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa;
http://www.jstor.org/journals/09641998.html",
}
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author = "Krzysztof Drachal",
title = "``\pkg{dynmix}'': an {R} package for the estimation of
dynamic finite mixtures",
journal = j-SOFTWAREX,
volume = "22",
number = "??",
pages = "??--??",
month = may,
year = "2023",
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ISSN = "2352-7110",
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acknowledgement = ack-nhfb,
articleno = "101388",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
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@Article{Egert:2023:RRI,
author = "Janine Egert and Clemens Kreutz",
title = "\pkg{Rcall}: an {R} interface for {MATLAB}",
journal = j-SOFTWAREX,
volume = "21",
number = "??",
pages = "??--??",
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articleno = "101276",
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journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
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@Article{Fox:2023:VRP,
author = "Nathan Fox and Derek {Van Berkel} and Ramiro Serrano
Verge and Mark Lindquist",
title = "\pkg{vGameReviews}: an {R} package for harnessing
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journal = j-SOFTWAREX,
volume = "23",
number = "??",
pages = "??--??",
month = jul,
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journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
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@Article{Garcia-Ceja:2023:BRC,
author = "Enrique Garcia-Ceja",
title = "Book Review: {{\booktitle{A Criminologist's Guide to
R: Crime by the Numbers}}, Jacob Kaplan, Boca Raton,
FL: Chapman and Hall\slash CRC Press, Taylor \& Francis
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volume = "65",
number = "4",
pages = "610--611",
year = "2023",
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onlinedate = "03 Nov 2023",
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@Article{Gomez:2023:CUP,
author = "Camilo Gomez and Alexander V. Goponenko and Julia N.
Soulakova",
title = "Constructing {UpSet} plot for survey data with weights
using {SAS} and {R} software",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "52",
number = "6",
pages = "2320--2326",
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acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
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journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "23 Mar 2021",
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@Article{Guillen:2023:BBA,
author = "Maria D. Guillen and Juan Aparicio and Victor J.
Espa{\~n}a",
title = "\pkg{boostingDEA}: a boosting approach to {Data
Envelopment Analysis} in {R}",
journal = j-SOFTWAREX,
volume = "24",
number = "??",
pages = "??--??",
month = dec,
year = "2023",
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DOI = "https://doi.org/10.1016/j.softx.2023.101549",
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acknowledgement = ack-nhfb,
articleno = "101549",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Harris:2023:BRM,
author = "Mark N. Harris",
title = "Book Review: {{\booktitle{Modern Applied Regressions:
Bayesian and Frequentist Analysis of Categorical and
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Florida, USA: CRC Press (Taylor \& Francis Group),
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journal = j-J-AM-STAT-ASSOC,
volume = "118",
number = "543",
pages = "2209--2211",
year = "2023",
CODEN = "JSTNAL",
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ISSN = "0162-1459 (print), 1537-274X (electronic)",
ISSN-L = "0162-1459",
bibdate = "Fri Oct 13 08:55:39 MDT 2023",
bibsource = "http://www.tandfonline.com/toc/uasa20/118/543;
https://www.math.utah.edu/pub/tex/bib/jamstatassoc2020.bib;
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acknowledgement = ack-nhfb,
fjournal = "Journal of the American Statistical Association",
journal-URL = "http://www.tandfonline.com/loi/uasa20",
onlinedate = "21 Aug 2023",
}
@Article{Ho:2023:CFR,
author = "George To Sum Ho and Yung Po Tsang and Qin Wu and
Valerie Tang",
title = "\pkg{ck-FARM}: an {R} package to discover big data
associations for business intelligence",
journal = j-SOFTWAREX,
volume = "22",
number = "??",
pages = "??--??",
month = may,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101341",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 1 09:21:01 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023000377",
acknowledgement = ack-nhfb,
articleno = "101341",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Jastrzebski:2023:IRP,
author = "Jan Pawel Jastrzebski and Stefano Pascarella and
Aleksandra Lipka and Slawomir Dorocki",
title = "\pkg{IncRna}: The {R} Package for Optimizing {lncRNA}
Identification Processes",
journal = j-J-COMPUT-BIOL,
volume = "30",
number = "12",
pages = "1322--1326",
month = dec,
year = "2023",
CODEN = "JCOBEM",
DOI = "https://doi.org/10.1089/cmb.2023.0091",
ISSN = "1066-5277 (print), 1557-8666 (electronic)",
ISSN-L = "1066-5277",
bibdate = "Tue May 28 16:00:58 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputbiol.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.liebertpub.com/doi/abs/10.1089/cmb.2023.0091;
https://www.liebertpub.com/doi/reader/10.1089/cmb.2023.0091",
acknowledgement = ack-nhfb,
ajournal = "J. Comput. Biol.",
fjournal = "Journal of Computational Biology",
journal-URL = "https://www.liebertpub.com/loi/cmb/",
onlinedate = "25 October 2023",
}
@Article{Krotka:2023:NRP,
author = "Pavla Krotka and Katharina Hees and Peter Jacko and
Dominic Magirr and Martin Posch and Marta Bofill Roig",
title = "{NCC}: an {R}-package for analysis and simulation of
platform trials with non-concurrent controls",
journal = j-SOFTWAREX,
volume = "23",
number = "??",
pages = "??--??",
month = jul,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101437",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Oct 5 12:03:02 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023001334",
acknowledgement = ack-nhfb,
articleno = "101437",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Krug:2023:MRP,
author = "Rainer M. Krug and Owen L. Petchey",
title = "\pkg{Microxanox}: an {R} package for simulating an
aquatic {MICR obial} ecosystem that can occupy {OXic}
or {ANOXic} states",
journal = j-SOFTWAREX,
volume = "24",
number = "??",
pages = "??--??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101539",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Dec 16 07:45:56 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023002352",
acknowledgement = ack-nhfb,
articleno = "101539",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Kubota:2023:DMS,
author = "Takafumi Kubota",
title = "Diseases maps of spatial epidemiological data by {R}",
journal = j-WIRES,
volume = "15",
number = "4",
pages = "e1604:1--e1604:??",
month = jul # "--" # aug,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1604",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Fri Oct 13 10:11:34 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
URL = "https://wires.onlinelibrary.wiley.com/doi/epdf/10.1002/wics.1604",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "21 December 2022",
}
@Article{Liu:2023:BRM,
author = "Shuangzhe Liu",
title = "Book Review: {{\booktitle{Modern Applied Regressions:
Bayesian and Frequentist Analysis of Categorical and
Limited Response Variables with R and Stan}}, Jun Xu,
Chapman \& Hall\slash CRC, 2023, xv + 281 pages,
\pounds 80.99\slash \$108, hardcover ISBN:
978-0-367-17387-6 (hbk); 978-1-032-37674-5 (pbk);
978-0-429-05646-8 (ebk)}",
journal = j-INT-STAT-REV,
volume = "91",
number = "2",
pages = "345--347",
month = aug,
year = "2023",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12548",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Thu Oct 12 09:48:10 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Int. Stat. Rev.",
fjournal = "International Statistical Review",
journal-URL = "http://www.jstor.org/journals/03067734.html;
https://onlinelibrary.wiley.com/loi/17515823",
onlinedate = "16 July 2023",
}
@Article{Mestre:2023:PLR,
author = "F. Mestre and B. Silva",
title = "\pkg{lconnect} {R} package: a versatile tool for
evaluating landscape connectivity and prioritizing
habitat patches in conservation research",
journal = j-ECOL-MODELL,
volume = "484",
number = "??",
pages = "??--??",
month = oct,
year = "2023",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2023.110489",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Wed Aug 30 15:59:51 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380023002193",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
articleno = "110489",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Mousavi:2023:RPA,
author = "Niloufar Dousti Mousavi and Hani Aldirawi and Jie
Yang",
title = "An {R} package {AZIAD} for analysing zero-inflated and
zero-altered data",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "93",
number = "16",
pages = "2801--2827",
year = "2023",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2023.2207020",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Tue Oct 10 07:30:59 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
}
@Article{Palaseanu-Lovejoy:2023:IOS,
author = "Monica Palaseanu-Lovejoy",
title = "\pkg{iBluff}: an open-source {R} package for
geomorphic analysis of coastal bluffs\slash cliffs",
journal = j-SOFTWAREX,
volume = "21",
number = "??",
pages = "??--??",
month = feb,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101325",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 1 09:21:01 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023000213",
acknowledgement = ack-nhfb,
articleno = "101325",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Platas-Lopez:2023:DRP,
author = "Alejandro Platas-L{\'o}pez and Alejandro
Guerra-Hern{\'a}ndez and Francisco Grimaldo and
Nicandro Cruz-Ram{\'{\i}}rez and Efr{\'e}n
Mezura-Montes and Marcela Quiroz-Castellanos",
title = "\pkg{{dplbnDE}}: an {R} package for discriminative
parameter learning of {Bayesian Networks by
Differential Evolution}",
journal = j-SOFTWAREX,
volume = "23",
number = "??",
pages = "??--??",
month = jul,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101442",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Oct 5 12:03:02 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023001383",
acknowledgement = ack-nhfb,
articleno = "101442",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Polanco-Martinez:2023:NRP,
author = "Josu{\'e} M. Polanco-Mart{\'\i}nez and Jos{\'e} L.
L{\'o}pez-Mart{\'\i}nez",
title = "\pkg{NonParRolCor}: an {R} package for estimating
rolling correlation for two regular time series",
journal = j-SOFTWAREX,
volume = "22",
number = "??",
pages = "??--??",
month = may,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101353",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 1 09:21:01 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023000493",
acknowledgement = ack-nhfb,
articleno = "101353",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Robert:2023:BFF,
author = "Christian P. Robert",
title = "{Bayes} Factors for Forensic Decision Analyses with
{R}",
journal = j-CHANCE,
volume = "36",
number = "2",
pages = "32--33",
year = "2023",
CODEN = "CNDCE4",
DOI = "https://doi.org/10.1080/09332480.2023.2203651",
ISSN = "0933-2480 (print), 1867-2280 (electronic)",
ISSN-L = "0933-2480",
bibdate = "Tue Aug 29 09:55:09 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/chance.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.tandfonline.com/doi/full/10.1080/09332480.2023.2203651",
acknowledgement = ack-nhfb,
fjournal = "Chance",
journal-URL = "http://chance.amstat.org/;
http://link.springer.com/journal/144;
http://www.tandfonline.com/loi/ucha20",
}
@Article{Roy:2023:ENW,
author = "Dooti Roy and Gregory Vaughan and Jianan Hui and
Junxian Geng",
title = "An exploration of {National Weather Service} daily
forecasts using {R Shiny}",
journal = j-COMP-STAT,
volume = "38",
number = "3",
pages = "1173--1191",
month = sep,
year = "2023",
CODEN = "CSTAEB",
DOI = "https://doi.org/10.1007/s00180-023-01341-9",
ISSN = "0943-4062 (print), 1613-9658 (electronic)",
ISSN-L = "0943-4062",
bibdate = "Fri Oct 13 11:31:31 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/compstat.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s00180-023-01341-9",
acknowledgement = ack-nhfb,
ajournal = "Comp. Stat.",
fjournal = "Computational Statistics",
journal-URL = "http://link.springer.com/journal/180",
}
@Article{Shanmugam:2023:BRBa,
author = "Ramalingam Shanmugam",
title = "Book Review: {{\booktitle{Bayesian modeling of
spatio-temporal data with R}} by Sujit K. Sahu, 2022,
Chapman and Hall, CRC Press, 411 + xxii pp., \$74.21
(hardback), ISBN: 978-0-367-27798-7, 6000 Broken Sound
Parkway, NW, (Suite 300), Boca Raton, FL 33487}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "93",
number = "7",
pages = "1224--1224",
year = "2023",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2023.2168166",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Mon May 8 14:16:12 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "17 Oct 2022",
}
@Article{Shanmugam:2023:BRBc,
author = "Ramalingam Shanmugam",
title = "Book Review: {{\booktitle{Book on stochastic processes
with R: an introduction}} by Olga Korosteleva. (2022).
Stochastic Processes with R: an Introduction, Boca
Raton, FL: Chapman and Hall, CRC Press, 2022, x + 190
pp., \$99.95 (hardback), ISBN 978-1-032-15373-5., pp.
190 + ix, \$ 99.95 (hardback)}",
journal = j-J-STAT-COMPUT-SIMUL,
volume = "93",
number = "10",
pages = "1667--1667",
year = "2023",
CODEN = "JSCSAJ",
DOI = "https://doi.org/10.1080/00949655.2023.2168169",
ISSN = "0094-9655 (print), 1026-7778 (electronic), 1563-5163",
ISSN-L = "0094-9655",
bibdate = "Wed Jun 21 10:21:59 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jstatcomputsimul2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Journal of Statistical Computation and Simulation",
journal-URL = "http://www.tandfonline.com/loi/gscs20",
onlinedate = "27 Nov 2022",
}
@Article{Skinner:2023:DDP,
author = "Grace Skinner and Rob Cooke and Junghyuk Keum and Andy
Purvis and Cristina Raw and Ben A. Woodcock and Joseph
Millard",
title = "\pkg{Dynameta}: a dynamic platform for ecological
meta-analyses in {R Shiny}",
journal = j-SOFTWAREX,
volume = "23",
number = "??",
pages = "??--??",
month = jul,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101439",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Oct 5 12:03:02 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023001358",
acknowledgement = ack-nhfb,
articleno = "101439",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Solvang:2023:TRP,
author = "Hiroko Kato Solvang and Mineaki Ohishi",
title = "\pkg{trec}: an {R} package for trend estimation and
classification to support integrated ecosystem
assessment of the marine ecosystem and environmental
factors",
journal = j-SOFTWAREX,
volume = "21",
number = "??",
pages = "??--??",
month = feb,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101309",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 1 09:21:01 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023000055",
acknowledgement = ack-nhfb,
articleno = "101309",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Soto:2023:RRP,
author = "Jonatan Soto and Johan Aparicio and Aquiles Darghan
and Milan Oldrich Urban",
title = "\pkg{RankspeQ}: an {R} package platform for genotype
characterization and performance-ranking based on
{MultispeQ} measurements",
journal = j-SOFTWAREX,
volume = "24",
number = "??",
pages = "??--??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101544",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Dec 16 07:45:56 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023002406",
acknowledgement = ack-nhfb,
articleno = "101544",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Stenborg:2023:SRP,
author = "Travis Stenborg",
title = "Styling {R} \pkg{ggplot2} graphics with {\LaTeX}",
journal = j-TUGboat,
volume = "44",
number = "1",
pages = "108--109",
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.47397/tb/44-1/tb136stenborg-ggplot2",
ISSN = "0896-3207",
ISSN-L = "0896-3207",
bibdate = "Fri May 19 08:47:23 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/tugboat.bib",
URL = "https://tug.org/TUGboat/tb44-1/tb136stenborg-ggplot2.pdf",
acknowledgement = ack-nhfb,
fjournal = "TUGboat",
issue = "136",
journal-URL = "https://tug.org/TUGboat/",
remark = "Intermediate Plus{\Dash}integrating R graphics with
LaTeX documents in a harmonious style.",
}
@Article{Tagusari:2023:SRP,
author = "Junta Tagusari",
title = "\pkg{shinyHugePlot}: an {R} package for displaying the
features of data with a huge sample size",
journal = j-SOFTWAREX,
volume = "24",
number = "??",
pages = "??--??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101583",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Dec 16 07:45:56 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023002790",
acknowledgement = ack-nhfb,
articleno = "101583",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Toller:2023:BRB,
author = "Owen Toller",
title = "Book Review: {{\booktitle{Basic statistics with R}} by
Stephen C. Loftus, pp 283, \pounds 57.95 (paper), ISBN
978-0-12-820788-8, Academic Press\slash Elsevier
(2021)}",
journal = j-MATH-GAZ,
volume = "107",
number = "569",
pages = "379--380",
month = jul,
year = "2023",
CODEN = "MAGAAS",
DOI = "https://doi.org/10.1017/mag.2023.84",
ISSN = "0025-5572 (print), 2056-6328 (electronic)",
ISSN-L = "0025-5572",
bibdate = "Wed Sep 13 14:38:38 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/mathgaz2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://www.cambridge.org/core/journals/mathematical-gazette/article/basic-statistics-with-r-by-stephen-c-loftus-pp-283-5795-paper-isbn-9780128207888-academic-presselsevier-2021/0BF5A0142A9544DF2FCCFB018F7415A3",
acknowledgement = ack-nhfb,
ajournal = "Math. Gaz.",
fjournal = "The Mathematical Gazette",
journal-URL = "http://journals.cambridge.org/action/displayIssue?jid=MAG;
http://www.m-a.org.uk/jsp/index.jsp?lnk=620",
onlinedate = "03 July 2023",
}
@Article{VanBerkel:2023:PRP,
author = "Derek {Van Berkel} and Thomas Estabrook and Nathan Fox
and Rahul Agrawal Bejarano and Lisa Maillard and Devin
Gill and Erica Akemi Goto and Maria Carmen Lemos",
title = "\pkg{{PPGISr}}: an {R} package for {Public
Participatory GIS}",
journal = j-SOFTWAREX,
volume = "22",
number = "??",
pages = "??--??",
month = may,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101389",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 1 09:21:01 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023000857",
acknowledgement = ack-nhfb,
articleno = "101389",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Varvia:2023:MRP,
author = "Petri Varvia and Janne R{\"a}ty and Petteri Packalen",
title = "\pkg{mgpr}: an {R} package for multivariate {Gaussian}
process regression",
journal = j-SOFTWAREX,
volume = "24",
number = "??",
pages = "??--??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101563",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Dec 16 07:45:56 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023002595",
acknowledgement = ack-nhfb,
articleno = "101563",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Vidoni:2023:TTR,
author = "Melina Vidoni and Zadia Codabux",
title = "Towards a taxonomy of {Roxygen} documentation in {R}
packages",
journal = j-EMPIR-SOFTWARE-ENG,
volume = "28",
number = "4",
pages = "??--??",
month = jul,
year = "2023",
CODEN = "ESENFW",
DOI = "https://doi.org/10.1007/s10664-023-10345-4",
ISSN = "1382-3256 (print), 1573-7616 (electronic)",
ISSN-L = "1382-3256",
bibdate = "Thu Aug 10 15:49:41 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/empir-software-eng.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "https://link.springer.com/article/10.1007/s10664-023-10345-4",
acknowledgement = ack-nhfb,
ajournal = "Empir. Software. Eng.",
articleno = "106",
fjournal = "Empirical Software Engineering",
journal-URL = "http://link.springer.com/journal/10664",
}
@Article{Warasi:2023:GRP,
author = "Md S. Warasi",
title = "\pkg{groupTesting}: an {R} package for group testing
estimation",
journal = j-COMMUN-STAT-SIMUL-COMPUT,
volume = "52",
number = "12",
pages = "6210--6224",
year = "2023",
CODEN = "CSSCDB",
DOI = "https://doi.org/10.1080/03610918.2021.2009867",
ISSN = "0361-0918",
ISSN-L = "0361-0918",
bibdate = "Sat May 18 14:28:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/communstatsimulcomput2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
fjournal = "Communications in Statistics: Simulation and
Computation",
journal-URL = "http://www.tandfonline.com/loi/lssp20",
onlinedate = "01 Dec 2021",
}
@Article{Wheeler:2023:NIR,
author = "A. Powell Wheeler and Kyle T. Rachels and Kevin J.
Dockendorf",
title = "\pkg{NCIFD} --- an Internal {R} Package for a
Fisheries Agency",
journal = j-FISHERIES,
volume = "48",
number = "10",
pages = "411--417",
month = oct,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1002/fsh.10974",
ISSN = "0363-2415 (print), 1548-8446 (electronic)",
ISSN-L = "0363-2415",
bibdate = "Sat Apr 13 07:24:02 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/fisheries.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Fisheries",
fjournal = "Fisheries",
journal-URL = "https://afspubs.onlinelibrary.wiley.com/loi/15488446",
onlinedate = "08 August 2023",
}
@Article{Wijayasari:2023:MRB,
author = "Winda Wijayasari and Faizal Immaddudin Wira Rohmat and
Sparisoma Viridi",
title = "\pkg{Malaccha}: an {R}-based end-to-end {Markov}
transition matrix extraction for land cover datasets",
journal = j-SOFTWAREX,
volume = "21",
number = "??",
pages = "??--??",
month = feb,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101315",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Thu Jun 1 09:21:01 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023000110",
acknowledgement = ack-nhfb,
articleno = "101315",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Yerlikaya-Ozkurt:2023:CPP,
author = "Fatma Yerlikaya-{\"O}zkurt and Ceyda Yazici and Inci
Batmaz",
title = "\pkg{cmaRs}: a powerful predictive data mining package
in {R}",
journal = j-SOFTWAREX,
volume = "24",
number = "??",
pages = "??--??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101553",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Sat Dec 16 07:45:56 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023002492",
acknowledgement = ack-nhfb,
articleno = "101553",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Aalabaf-Sabaghi:2024:BRL,
author = "Morteza Aalabaf-Sabaghi",
title = "Book Review: {{\booktitle{Learning Microeconometrics
with R}}, by Christopher P Adams , CRC Press , Chapman
\& Hall. 2021. xxx + 368pp. ISBN: 978-0-367-25538-1,
\pounds 77.99 (hbk)}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "187",
number = "2",
pages = "545--546",
month = apr,
year = "2024",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1093/jrsssa/qnad117",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Apr 23 08:47:43 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/jrsssa/article/187/2/545/7263080",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{AlvesVieira:2024:PBR,
author = "Gabriel {Alves Vieira} and Jacqueline Leta",
title = "\pkg{biblioverlap}: an {R} package for document
matching across bibliographic datasets",
journal = j-SCIENTOMETRICS,
volume = "129",
number = "7",
pages = "4513--4527",
month = jul,
year = "2024",
CODEN = "SCNTDX",
DOI = "https://doi.org/10.1007/s11192-024-05065-5",
ISSN = "0138-9130 (print), 1588-2861 (electronic)",
ISSN-L = "0138-9130",
bibdate = "Mon Aug 5 13:03:44 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/scientometrics2020.bib",
URL = "https://link.springer.com/article/10.1007/s11192-024-05065-5",
acknowledgement = ack-nhfb,
ajournal = "Scientometrics",
fjournal = "Scientometrics",
journal-URL = "http://link.springer.com/journal/11192",
}
@Article{Badouard:2024:LPS,
author = "Vincyane Badouard and Sylvain Schmitt and Guillaume
Salzet and Thomas Gaquiere and Margaux Rojat and
Caroline Bedeau and Olivier Brunaux and G{\'e}raldine
Derroire",
title = "\pkg{LoggingLab}: an {R} package to simulate
reduced-impact selective logging in tropical forests
using forest inventory data",
journal = j-ECOL-MODELL,
volume = "487",
number = "??",
pages = "??--??",
month = jan,
year = "2024",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2023.110539",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Wed Dec 6 17:21:23 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380023002697",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
articleno = "110539",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Cheng:2024:BRD,
author = "Gillian Cheng and Andrei R. Akhmetzhanov",
title = "Book Review: {{\booktitle{Data science for infectious
disease data analytics: an introduction with R}}, by
Lily Wang, CRC Press, 2022 ISBN-13: 978-1-032-18742-6,
https://www.routledge.com/Data--Science-for--Infectious--Disease--Data--Analytics--An--Introduction-with--R/Wang/pbook/978-1-032-18742-6}",
journal = j-BIOMETRICS,
volume = "80",
number = "2",
pages = "??--??",
month = jun,
year = "2024",
CODEN = "BIOMB6",
DOI = "https://doi.org/10.1093/biomtc/ujae034",
ISSN = "0006-341X (print), 1541-0420 (electronic)",
ISSN-L = "0006-341X",
bibdate = "Thu Sep 19 12:48:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/biometrics2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/biometrics/article/80/2/ujae034/7673179",
acknowledgement = ack-nhfb,
articleno = "ujae034",
fjournal = "Biometrics",
journal-URL = "https://academic.oup.com/biometrics",
}
@Article{Cho:2024:GPG,
author = "Hyeonglae Cho and Hee-Seok Oh and Donghoh Kim",
title = "\pkg{GSD}: an {R} package for graph signal
decomposition",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101753",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024001249",
acknowledgement = ack-nhfb,
articleno = "101753",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Erdmann:2024:KTR,
author = "Stella Erdmann and Rebecca Betensky",
title = "\pkg{KMstability}: {R} tools to report the stability
and precision of {Kaplan--Meier} estimates as well as
measures of follow-up in time-to-event studies",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101650",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024000219",
acknowledgement = ack-nhfb,
articleno = "101650",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Fischer:2024:BRI,
author = "Daniel Fischer",
title = "Book Review: {{\booktitle{An Introduction to R and
Python for Data Analysis: a Side-by-Side Approach}}
Taylor R. Brown Chapman and Hall\slash CRC, 2023, 246
pages (hardback \$99.95, ebook \$74.96) ISBN
978-10322032-56}",
journal = j-INT-STAT-REV,
volume = "92",
number = "1",
pages = "132--134",
month = apr,
year = "2024",
CODEN = "ISTRDP",
DOI = "https://doi.org/10.1111/insr.12568",
ISSN = "0306-7734 (print), 1751-5823 (electronic)",
ISSN-L = "0306-7734",
bibdate = "Tue May 28 13:00:02 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/intstatrev.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
ajournal = "Int. Stat. Rev.",
fjournal = "International Statistical Review",
journal-URL = "http://www.jstor.org/journals/03067734.html;
https://onlinelibrary.wiley.com/loi/17515823",
onlinedate = "06 March 2024",
}
@Article{Govindasamy:2024:SRE,
author = "Priyalatha Govindasamy and Nor Junainah Mohd Isa and
Nor Firdous Mohamed and Amelia Mohd Noor and Lin Ma and
Antonio Olmos and Kathy Green",
title = "A systematic review of exploratory factor analysis
packages in {R} software",
journal = j-WIRES,
volume = "16",
number = "1",
pages = "e1630:1--e1630:??",
month = jan # "--" # feb,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1002/wics.1630",
ISSN = "1939-0068 (print), 1939-5108 (electronic)",
ISSN-L = "1939-0068",
bibdate = "Sat May 25 09:15:36 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/wires.bib",
URL = "https://wires.onlinelibrary.wiley.com/doi/epdf/10.1002/wics.1630",
acknowledgement = ack-nhfb,
ajournal = "WIREs",
fjournal = "WIREs Computational Statistics",
journal-URL = "https://onlinelibrary.wiley.com/journal/19390068",
onlinedate = "02 August 2023",
}
@Article{Helwig:2024:ACD,
author = "Jacob Helwig and Sutanoy Dasgupta and Peng Zhao and
Bani K. Mallick and Debdeep Pati",
title = "{Algorithm 1045}: a Covariate-Dependent Approach to
{Gaussian} Graphical Modeling in {R}",
journal = j-TOMS,
volume = "50",
number = "2",
pages = "16:1--16:??",
month = jun,
year = "2024",
CODEN = "ACMSCU",
DOI = "https://doi.org/10.1145/3659206",
ISSN = "0098-3500 (print), 1557-7295 (electronic)",
ISSN-L = "0098-3500",
bibdate = "Tue Jul 2 07:51:57 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/toms.bib",
URL = "https://dl.acm.org/doi/10.1145/3659206",
abstract = "Graphical models are used to capture complex
multivariate relationships and have applications in
diverse disciplines such as biology, physics, and
economics. Within this field, Gaussian graphical models
aim to identify the pairs of variables whose dependence
is maintained even after conditioning on the remaining
variables in the data, known as the conditional
dependence structure of the data. There are many
existing software packages for Gaussian graphical
modeling, however, they often make restrictive
assumptions that reduce their flexibility for modeling
data that are not identically distributed. Conversely,
\pkg{covdepGE} is an R implementation of a variational
weighted pseudo-likelihood algorithm for modeling the
conditional dependence structure as a continuous
function of an extraneous covariate. To build on the
efficiency of this algorithm, \pkg{covdepGE} leverages
parallelism and C++ integration with R. Additionally,
\pkg{covdepGE} provides fully-automated and data-driven
hyperparameter specification while maintaining
flexibility for the user to decide key components of
the estimation procedure. Through an extensive
simulation study spanning diverse settings,
\pkg{covdepGE} is demonstrated to be top of its class
in recovering the ground truth conditional dependence
structure while efficiently managing computational
overhead.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Math. Softw.",
articleno = "16",
fjournal = "ACM Transactions on Mathematical Software (TOMS)",
journal-URL = "https://dl.acm.org/loi/toms",
}
@Article{Heredia:2024:OPG,
author = "Cristobal Heredia and Sebastian Moreno and Wilfredo
Yushimito",
title = "\pkg{ODMeans}: an {R} package for global and local
cluster detection for Origin-Destination {GPS} data",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101732",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024001031",
acknowledgement = ack-nhfb,
articleno = "101732",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Kalyani:2024:BRC,
author = "V. Kalyani",
title = "Book Review: {{\booktitle{Crime by the Numbers: a
Criminologist's Guide to R}}, by Jacob Kaplan, 1st
Edition, 2023, Chapman and Hall\slash CRC, xxi + 432
pp, \pounds 59.99 (Hardback) and \pounds 59.99 (eBook),
ISBN 978-1-003-27921-1}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "187",
number = "1",
pages = "266--266",
month = jan,
year = "2024",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1093/jrsssa/qnad092",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Apr 23 08:47:42 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/jrsssa/article/187/1/266/7235728",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Kalyani:2024:BRR,
author = "V. Kalyani",
title = "Book Review: {{\booktitle{Regression Analysis in R: a
Comprehensive View for the Social Sciences}}, by
Jocelyn H. Bolin, 1st ed., CRC Press, 2023. xii + 180
pp, ISBN 978-1-032-25775-4, \pounds 145.00 (Hardback),
\pounds 51.29 (eBook)}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "187",
number = "1",
pages = "262--263",
month = jan,
year = "2024",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1093/jrsssa/qnad081",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Apr 23 08:47:42 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/jrsssa/article/187/1/262/7219780",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Kurbucz:2024:LPL,
author = "Marcell T. Kurbucz and P{\'e}ter P{\'o}sfay and Antal
Jakov{\'a}c",
title = "\pkg{LLT}: an {R} package for linear law-based feature
space transformation",
journal = j-SOFTWAREX,
volume = "25",
number = "??",
pages = "??--??",
month = feb,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2023.101623",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711023003199",
acknowledgement = ack-nhfb,
articleno = "101623",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Lazic:2024:BRE,
author = "Stanley E. Lazic",
title = "Book Review: {{\booktitle{Exploring Modeling with Data
and Differential Equations Using R}}, by John Zobitz,
2022, Chapman \& Hall\slash CRC Press, Boca Raton, FL,
356 pages, \pounds 74.99 (Hardcover), ISBN:
978-1-032-25948-2}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "187",
number = "2",
pages = "550--551",
month = apr,
year = "2024",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1093/jrsssa/qnad133",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Apr 23 08:47:43 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/jrsssa/article/187/2/550/7420307",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Lazic:2024:BRS,
author = "Stanley E. Lazic",
title = "Book Review: {{\booktitle{Statistical Methods for
Mediation, Confounding and Moderation Analysis Using R
and SAS}}, by Qingzhao Yu and Bin Li, CRC Press, 2022.
294pp, ISBN: 978-0-367-36547-9, \pounds 125.00}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "187",
number = "1",
pages = "265--265",
month = jan,
year = "2024",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1093/jrsssa/qnad090",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Apr 23 08:47:42 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/jrsssa/article/187/1/265/7235727",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Lopez-Oriona:2024:ACT,
author = "{\'A}ngel L{\'o}pez-Oriona and Jos{\'e} A. Vilar",
title = "Analyzing categorical time series with the {R} package
\pkg{ctsfeatures}",
journal = j-J-COMPUT-SCI,
volume = "76",
number = "??",
pages = "??--??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.jocs.2024.102233",
ISSN = "1877-7503 (print), 1877-7511 (electronic)",
ISSN-L = "1877-7503",
bibdate = "Wed May 29 06:19:10 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jcomputsci.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S1877750324000267",
acknowledgement = ack-nhfb,
ajournal = "J. Comput. Sci.",
articleno = "102233",
fjournal = "Journal of Computational Science",
journal-URL = "https://www.sciencedirect.com/journal/journal-of-computational-science",
}
@Article{Mahood:2024:NPP,
author = "Adam L. Mahood and Ranjan Muthukrishnan and Jacob A.
Macdonald and David T. Barnett and Eric R. Sokol and
Samuel M. Simkin",
title = "\pkg{neonPlantEcology}: an {R} package for preparing
{NEON} plant data for use in ecological research",
journal = j-ECOL-MODELL,
volume = "493",
number = "??",
pages = "??--??",
month = jul,
year = "2024",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2024.110750",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Fri Jun 7 06:00:42 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380024001388",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
articleno = "110750",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Martinez-Galicia:2024:CPM,
author = "David Mart{\'\i}nez-Galicia and Alejandro
Guerra-Hern{\'a}ndez and Francisco Grimaldo and
Nicandro Cruz-Ram{\'\i}rez and Xavier Lim{\'o}n",
title = "\pkg{ClassNoise}: an {R} package for modeling,
generating, and validating data with class noise",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101752",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024001237",
acknowledgement = ack-nhfb,
articleno = "101752",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Petitjean:2024:MPE,
author = "Quentin Petitjean and Sil{\`e}ne Lartigue and
M{\'e}lina Cointe and Nicolas Ris and Vincent
Calcagno",
title = "\pkg{MoveR}: an {R} package for easy processing and
analysis of animal video-tracking data",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101674",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024000451",
acknowledgement = ack-nhfb,
articleno = "101674",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Pinon:2024:BRH,
author = "Adelson Pi{\~n}{\'o}n",
title = "Book Review: {{\booktitle{Handbook of Regression
Modeling in People Analytics, With Examples in R and
Python}}, by Keith McNulty, 1st edition, CRC Press.
2021. 255 pp. ISBN: 978-1-032-04174-2, \pounds 59.99
(hbk)}",
journal = j-J-R-STAT-SOC-SER-A-STAT-SOC,
volume = "187",
number = "2",
pages = "544--545",
month = apr,
year = "2024",
CODEN = "JSSAEF",
DOI = "https://doi.org/10.1093/jrsssa/qnad116",
ISSN = "0964-1998 (print), 1467-985X (electronic)",
ISSN-L = "0964-1998",
bibdate = "Tue Apr 23 08:47:43 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/jrss-a-2020.bib;
https://www.math.utah.edu/pub/tex/bib/python.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://academic.oup.com/jrsssa/article/187/2/544/7256154",
acknowledgement = ack-nhfb,
fjournal = "Journal of the Royal Statistical Society. Series A
(Statistics in Society)",
journal-URL = "https://academic.oup.com/jrsssa/;
http://www.jstor.org/journals/09641998.html",
}
@Article{Roszkowska:2024:IPI,
author = "Ewa Roszkowska and Bart{\l}omiej Jefma{\'n}ski and
Andrzej Dudek and Marta Kusterka-Jefma{\'n}ska",
title = "\pkg{IFMCDM}: an {R} package for intuitionistic fuzzy
multi-criteria decision making methods",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101721",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S235271102400092X",
acknowledgement = ack-nhfb,
articleno = "101721",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Stenborg:2024:SAT,
author = "Travis Stenborg",
title = "Semi-automated {TikZ} directed acyclic graphs in {R}",
journal = j-TUGboat,
volume = "45",
number = "1",
pages = "115--116",
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.47397/tb/45-1/tb139stenborg-dags",
ISSN = "0896-3207",
ISSN-L = "0896-3207",
bibdate = "Sat May 18 08:30:37 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/tugboat.bib",
URL = "https://tug.org/TUGboat/tb45-1/tb139stenborg-dags.pdf",
acknowledgement = ack-nhfb,
fjournal = "TUGboat",
issue = "139",
journal-URL = "https://tug.org/TUGboat/",
ORCID-numbers = "Stenborg, Travis/0000-0002-2693-9628",
remark = "Intermediate{\Dash}brief tutorial on using the
causalDisco R package to generate DAGs.",
}
@Article{Wang:2024:HDO,
author = "Yuzhuo Wang and Kai Li",
title = "How do official software citation formats evolve over
time? {A} longitudinal analysis of {R} programming
language packages",
journal = j-SCIENTOMETRICS,
volume = "129",
number = "7",
pages = "3997--4019",
month = jul,
year = "2024",
CODEN = "SCNTDX",
DOI = "https://doi.org/10.1007/s11192-024-05064-6",
ISSN = "0138-9130 (print), 1588-2861 (electronic)",
ISSN-L = "0138-9130",
bibdate = "Mon Aug 5 13:03:44 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/scientometrics2020.bib",
URL = "https://link.springer.com/article/10.1007/s11192-024-05064-6",
acknowledgement = ack-nhfb,
ajournal = "Scientometrics",
fjournal = "Scientometrics",
journal-URL = "http://link.springer.com/journal/11192",
}
@Article{Wu:2024:EPI,
author = "Haoran Wu",
title = "\pkg{ecode}: an {R} package to investigate community
dynamics in ordinary differential equation systems",
journal = j-ECOL-MODELL,
volume = "491",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "ECMODT",
DOI = "https://doi.org/10.1016/j.ecolmodel.2024.110676",
ISSN = "0304-3800 (print), 1872-7026 (electronic)",
ISSN-L = "0304-3800",
bibdate = "Mon Apr 8 15:31:11 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/ecolmodell2020.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S0304380024000644",
acknowledgement = ack-nhfb,
ajournal = "Ecol. Modell.",
articleno = "110676",
fjournal = "Ecological Modelling: International Journal on
Ecological Modelling and Systems Ecology",
journal-URL = "https://www.journals.elsevier.com/ecological-modelling",
}
@Article{Yang:2024:VPS,
author = "Xiaohao Yang and Nathan Fox and Derek {Van Berkel} and
Mark Lindquist",
title = "\pkg{Viewscape}: an {R} package for the spatial
analysis of landscape perception and configurations in
viewsheds of landscapes",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101662",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024000335",
acknowledgement = ack-nhfb,
articleno = "101662",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Article{Zhao:2024:MSI,
author = "Jun Zhao and Yu-Kwang Kim and Yu-Hyeong Jang and Jae
Ho Chang and Sang Kyu Lee and Hyoung-Moon Kim",
title = "\pkg{MLEce}: Statistical inference for asymptotically
efficient closed-form estimators in {R}",
journal = j-SOFTWAREX,
volume = "26",
number = "??",
pages = "??--??",
month = may,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1016/j.softx.2024.101655",
ISSN = "2352-7110",
ISSN-L = "2352-7110",
bibdate = "Wed May 29 07:44:49 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/softwarex.bib",
URL = "http://www.sciencedirect.com/science/article/pii/S2352711024000268",
acknowledgement = ack-nhfb,
articleno = "101655",
fjournal = "SoftwareX",
journal-URL = "https://www.sciencedirect.com/journal/softwarex/issues",
}
@Proceedings{Milton:1969:SCP,
editor = "Roy C. Milton and John Ashworth Nelder",
booktitle = "Statistical Computation: proceedings of a conference
held at the {University of Wisconsin, Madison, April
28--30, 1969}",
title = "Statistical Computation: proceedings of a conference
held at the {University of Wisconsin, Madison, April
28--30, 1969}",
publisher = pub-ACADEMIC,
address = pub-ACADEMIC:adr,
bookpages = "xii + 462",
year = "1969",
ISBN = "0-12-498150-X",
ISBN-13 = "978-0-12-498150-8",
LCCN = "QA276.4 .C6 1969",
bibdate = "Mon Sep 04 14:28:14 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/unix.bib",
acknowledgement = ack-nhfb,
remark = "This paper may be the beginning of the S programming
language.",
}
@Proceedings{Allen:1986:CSS,
editor = "David M. Allen",
booktitle = "{Computer science and statistics: Proceedings of the
Seventeenth Symposium on the Interface of Computer
Sciences and Statistics, Radisson Plaza Hotel,
Lexington, Kentucky, March 17--19, 1985}",
title = "{Computer science and statistics: Proceedings of the
Seventeenth Symposium on the Interface of Computer
Sciences and Statistics, Radisson Plaza Hotel,
Lexington, Kentucky, March 17--19, 1985}",
publisher = pub-NORTH-HOLLAND,
address = pub-NORTH-HOLLAND:adr,
pages = "xi + 342",
year = "1986",
ISBN = "0-444-70018-8 (paperback)",
ISBN-13 = "978-0-444-70018-6 (paperback)",
LCCN = "QA276.4 .S95 1985",
MRclass = "62-06 (Proceedings of conferences (statistics)); 65C99
(Probabilistic methods, simulation and stochastic
differential equations (numerical analysis)); 62-07
(Data analysis (statistics))",
bibdate = "Thu May 29 16:50:58 MDT 2014",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/bibnet/authors/s/stewart-gilbert-w.bib;
https://www.math.utah.edu/pub/tex/bib/bmdp.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
https://www.math.utah.edu/pub/tex/bib/sas.bib;
https://www.math.utah.edu/pub/tex/bib/spss.bib",
URL = "http://catalog.hathitrust.org/api/volumes/oclc/13455449.html;
http://www.dtic.mil/dtic/tr/fulltext/u2/a166019.pdf;
http://zbmath.org/?q=an:0647.62008",
ZMnumber = "0647.62008",
acknowledgement = ack-nhfb,
meetingname = "Symposium on the Interface (17o. 1985. Lexington)",
subject = "Mathematical statistics; Data processing; Congresses;
calcul statistique; informatique statistique;
syst{\`e}me interactif; langage statistique;
m{\'e}thode num{\'e}rique; enseignement informatique;
statistique; logiciel math{\'e}matique; poste travail;
logiciel statistique; mod{\`e}le non lin{\'e}aire;
statistique math{\'e}matique; analyse donn{\'e}e;
infographie; intelligence artificielle; Informatique;
Congr{\`e}s; Datenverarbeitung.; Statistik.; Kongress;
Estad{\'i}stica matem{\'a}tica; Inform{\'a}tica;
Congresos",
}
@Book{Chambers:1992:SM,
editor = "John M. Chambers and Trevor Hastie",
booktitle = "Statistical models in {S}",
title = "Statistical models in {S}",
publisher = "Wadsworth and Brooks\slash Cole Advanced Books and
Software",
address = "Pacific Grove, CA, USA",
pages = "xv + 608",
year = "1992",
ISBN = "0-534-16764-0 (casebound), 0-534-16765-9 (paperback)",
ISBN-13 = "978-0-534-16764-6 (casebound), 978-0-534-16765-3
(paperback)",
LCCN = "QA276.4 .S65 1991",
bibdate = "Thu Aug 13 09:17:06 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Wadsworth and Brooks/Cole computer science series",
acknowledgement = ack-nhfb,
subject = "Mathematical statistics; Data processing; Linear
models (Statistics); S (Computer program language)",
}
@Proceedings{IEEE:1993:NCR,
editor = "IEEE",
booktitle = "Northcon\slash 93: conference record, Oregon
Convention Center, Portland, Oregon, October 12--14,
1993",
title = "Northcon\slash 93: conference record, Oregon
Convention Center, Portland, Oregon, October 12--14,
1993",
publisher = pub-IEEE,
address = pub-IEEE:adr,
pages = "iv + 263",
year = "1993",
ISBN = "0-7803-9972-2, 0-7803-9973-0",
ISBN-13 = "978-0-7803-9972-3, 978-0-7803-9973-0",
LCCN = "TK7868.D5N67 1993",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "NORTHCON 1993",
acknowledgement = ack-nhfb,
sponsor = "Institute of Electrical and Electronic Engineers;
Seattle and Oregon Sections. Electronic Manufacturers
Association. Electronic Representatives Association;
Cascade Chapter.",
}
@Proceedings{Bianco:1994:MAM,
editor = "L. Bianco",
booktitle = "{Methods and applications of mathematical programming:
Biennial Soviet-Italian conference; 1st --- September
1992, Cosenza, Italy}",
title = "{Methods and applications of mathematical programming:
Biennial Soviet-Italian conference; 1st --- September
1992, Cosenza, Italy}",
volume = "3(1)",
publisher = pub-GORDON-BREACH,
address = pub-GORDON-BREACH:adr,
pages = "????",
year = "1994",
CODEN = "OMSOE2",
ISSN = "1055-6788",
ISSN-L = "1026-7670",
bibdate = "Mon Oct 20 07:16:07 MDT 1997",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = j-OPT-METH-SOFT,
acknowledgement = ack-nhfb,
sponsor = "Istituto di Analisi dei Sistemi ed Informatica.",
}
@Proceedings{Dirschedl:1994:CSP,
editor = "Peter Dirschedl and Rudiger Ostermannn",
booktitle = "Computational Statistics: papers collected on the
occasion of the {25th Conference on Statistical
Computing at Schloss Reisensburg}",
title = "Computational Statistics: papers collected on the
occasion of the {25th Conference on Statistical
Computing at Schloss Reisensburg}",
publisher = "Physica-Verlag",
address = "Heidelberg, Germany",
pages = "vii + 552",
year = "1994",
ISBN = "3-7908-0813-X",
ISBN-13 = "978-3-7908-0813-1",
LCCN = "QA276.4 .C569 1994",
bibdate = "Tue Jun 01 15:05:47 1999",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "Contributions to statistics",
acknowledgement = ack-nhfb,
}
@Proceedings{IEEE:1994:NCR,
editor = "IEEE",
booktitle = "Northcon\slash 94: conference record, Washington State
Convention and Trade Center, Seattle, Washington:
October 11--13, 1994",
title = "Northcon\slash 94: conference record, Washington State
Convention and Trade Center, Seattle, Washington:
October 11--13, 1994",
publisher = pub-IEEE,
address = pub-IEEE:adr,
pages = "vi + 392",
year = "1994",
ISBN = "0-7803-9994-3, 0-7803-9995-1",
ISBN-13 = "978-0-7803-9994-5, 978-0-7803-9995-2",
LCCN = "TK 7801 N67 1994",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "NORTHCON 1994",
acknowledgement = ack-nhfb,
sponsor = "IEEE. ERA. Electronics Manufacturers Association.",
}
@Proceedings{Anonymous:1995:ACA,
editor = "Anonymous",
booktitle = "20th Annual conference: --- April 1995, Orlando,
{FL}",
title = "20th Annual conference: --- April 1995, Orlando,
{FL}",
publisher = pub-SAS,
address = pub-SAS:adr,
pages = "????",
year = "1995",
ISBN = "1-55544-211-0",
ISBN-13 = "978-1-55544-211-8",
LCCN = "????",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "SUGI 1995; 20th",
acknowledgement = ack-nhfb,
sponsor = "SAS Users Group International",
}
@Proceedings{Bartley:1995:FET,
editor = "M. R. Bartley",
booktitle = "Field experiment techniques: 11--13 December 1995,
Churchill College, Cambridge",
title = "Field experiment techniques: 11--13 December 1995,
Churchill College, Cambridge",
volume = "43",
publisher = "The Association of Applied Biology",
address = "Wellesbourne, Warwick, UK",
pages = "viii + 300",
year = "1995",
ISSN = "0265-1491",
bibdate = "Tue May 7 12:13:22 MDT 1996",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = j-ASPECTS-APPL-BIOL,
acknowledgement = ack-nhfb,
sponsor = "Association of Applied Biologists.",
}
@Proceedings{Hansen:1997:ICS,
editor = "David Hansen and Yannis Ioannidis",
booktitle = "9th International Conference on Scientific and
Statistical Database Management: proceedings: August
11--13, 1997, Olympia, Washington",
title = "9th International Conference on Scientific and
Statistical Database Management: proceedings: August
11--13, 1997, Olympia, Washington",
publisher = pub-IEEE,
address = pub-IEEE:adr,
pages = "xi + 278",
year = "1997",
ISBN = "0-8186-7952-2",
ISBN-13 = "978-0-8186-7952-0",
LCCN = "QA76.9.D3 I6 1997",
bibdate = "Thu Apr 19 06:29:58 2001",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
acknowledgement = ack-nhfb,
}
@Book{Carmona:1998:PTF,
author = "Ren{\'e} Carmona and Wen-Liang Hwang and Bruno
Torr{\'e}sani",
booktitle = "Practical Time-frequency Analysis. {Gabor} and Wavelet
Transforms with an Implementation in {S}",
title = "Practical Time-frequency Analysis. {Gabor} and Wavelet
Transforms with an Implementation in {S}",
publisher = pub-ACADEMIC,
address = pub-ACADEMIC:adr,
pages = "490",
year = "1998",
ISBN = "0-12-160170-6",
ISBN-13 = "978-0-12-160170-6",
MRclass = "42C40 42-02 62G07 62G08 62M15 94A12",
bibdate = "Thu Mar 8 08:32:32 2018",
bibsource = "https://www.math.utah.edu/pub/bibnet/authors/d/daubechies-ingrid.bib;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
note = "With a preface by Ingrid Daubechies",
ZMnumber = "1039.42504",
abstract = "Time frequency analysis has been the object of intense
research activity in the last decade. This book gives a
self-contained account of methods recently introduced
to analyze mathematical functions and signals
simultaneously in terms of time and frequency
variables. The book gives a detailed presentation of
the applications of these transforms to signal
processing, emphasizing the continuous transforms and
their applications to signal analysis problems,
including estimation, denoising, detection, and
synthesis. To help the reader perform these analyses,
Practical Time-Frequency Analysis provides a set of
useful tools in the form of a library of S functions,
downloadable from the authors' Web sites in the United
States and France. Key Features * Detailed presentation
of the Wavelet and Gabor transforms * Applications to
deterministic and random signal theory * Spectral
analysis of nonstationary signals and processes *
Numerous practical examples ranging from speech
analysis to underwater acoustics, earthquake
engineering, internet traffic, radar signal denoising,
medical data interpretation, etc * Accompanying
software and data sets, freely downloadable from the
book's Web page.",
acknowledgement = ack-nhfb,
tableofcontents = "I: Background Material / 25 \\
1: Time, Frequency, and Time-Frequency / 27 \\
2: Spectral Theory of Stationary Random Processes: A
Primer / 67 \\
II: Gabor and Wavelet Transforms / 99 \\
3: The Continuous Gabor Transform / 101 \\
4: The Continuous Wavelet Transform / 129 \\
5: Discrete Time-Frequency Transforms and Algorithms /
163 \\
III: Signal Processing Applications / 219 \\
6: Time-Frequency Analysis of Stochastic Processes /
221 \\
7: Analysis of Frequency Modulated Signals / 271 \\
8: Statistical Reconstructions / 309 \\
IV: The Swave Library / 355 \\
9: Downloading and Installing the Swave Package / 357
\\
10: The Swave S Functions / 361 \\
11: The Swave S Utilities / 409 \\
Bibliographies / 439 \\
General References / 441 \\
Wavelet Books / 465 \\
Splus Books / 469 \\
Indexes / 471",
}
@Book{Lin:2010:HAH,
editor = "Shili Lin and Hongyu Zhao",
booktitle = "Handbook on Analyzing Human Genetic Data:
Computational Approaches and Software",
title = "Handbook on Analyzing Human Genetic Data:
Computational Approaches and Software",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xiv + 333",
year = "2010",
DOI = "https://doi.org/10.1007/978-3-540-69264-5",
ISBN = "3-540-69263-0 (hardcover), 3-540-69264-9 (e-book)",
ISBN-13 = "978-3-540-69263-8 (hardcover), 978-3-540-69264-5
(e-book)",
LCCN = "QH431 .H2475 2010",
bibdate = "Sat Jun 27 08:55:00 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
subject = "Human genetics; Data processing; Statistical methods;
Genetic Techniques; Computer Simulation; Data
Interpretation, Statistical; Databases, Genetic;
Genetic Linkage; Software; Biostatistik;
Datenauswertung; Genetik; Humangenetik;
Populationsgenetik; Quantitative Methode",
tableofcontents = "Population genetics / Bruce Weir \\
Haplotype structure / Yu Zhang and Tianhua Niu \\
Linkage analysis of qualitative traits / Mingyao Li and
Gon{\c{c}}alo R. Abecasis \\
Linkage analysis of quantitative traits / Christopher
I. Amos, Bo Peng, Yaji Xu, and Jianzhong Ma \\
Markov chain Monte Carlo linkage analysis methods /
Robert P. Igo, Yuqun Luo, and Shili Lin \\
Population-based association studies / Xiaofeng Zhu and
ShuangLin Zhang \\
Family-based association studies / Kui Zhang and Hongyu
Zhao \\
Haplotype association analysis / Michael P. Epstein and
Lydia C. Kwee \\
Multiple comparisons/testing issues / Qingrun Zhang and
Jurg Ott \\
Estimating the absolute risk of disease associated with
identified mutations / Mitchell H. Gail and Nilanjan
Chatterjee \\
Processing large-scale, high-dimension genetic and gene
expression data / Cliona Molony, Solveig K. Sieberts
and Eric E. Schadt",
}
@Proceedings{Vinod:2010:ASS,
editor = "Hrishikesh D. Vinod",
booktitle = "{Advances in social science research using R}",
title = "{Advances in social science research using R}",
volume = "196",
publisher = pub-SV,
address = pub-SV:adr,
pages = "xxiii + 205",
year = "2010",
ISBN = "1-4419-1763-2 (paperback), 1-4419-1764-0 (e-book)",
ISBN-13 = "978-1-4419-1763-8 (paperback), 978-1-4419-1764-5
(e-book)",
LCCN = "H62.A3 A328 2010",
bibdate = "Thu Jul 10 09:53:16 MDT 2014",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
series = "Lecture notes in statistics - proceedings",
URL = "http://www.loc.gov/catdir/enhancements/fy1011/2009942719-d.html;
http://www.loc.gov/catdir/enhancements/fy1011/2009942719-t.html",
acknowledgement = ack-nhfb,
remark = "This book contains selected papers presented at the
Conference on Quantitative Social Science Research
Using R. The Conference was held in New York City at
the Lincoln Center campus of Fordham University, June
18--19, 2009.",
subject = "Social sciences; Research; Congresses; R (Computer
program language); R (Programm); Sozialwissenschaften.;
Statistik.",
tableofcontents = "1. Econometric computing with ``R'' \\
2. Additive models for quantile regression: an analysis
of risk factors for malnutrition in India \\
3. Toward better R defaults for graphics: example of
voter turnouts in U.S. elections \\
4. Superior estimation and inference avoiding
heteroscedasticity and flawed pivots: R-example of
inflation unemployment trade-off \\
5. Bubble plots as a model-free graphical tool for
continuous variables \\
6. Combinatorial fusion for improving portfolio
performance \\
7. Reference growth charts for Saudi Arabian children
and adolescents \\
8. Causal mediation analysis using R \\
9. Statistical validation of functional form in
multiple regression using R \\
10. Fitting multinomial models in R: a program based on
Bock's multinomial response relation model \\
11. A Bayesian analysis of Leukemia incidence
surrounding an inactive hazardous waste site \\
12. Stochastic volatility model with jumps in returns
and volatility: an R-package implementation",
}
@Book{Tattar:2016:CSR,
author = "Prabhanjan Tattar and Suresh Ramaiah and B. G.
Manjunath",
booktitle = "A course in statistics with {R}",
title = "A course in statistics with {R}",
publisher = pub-WILEY,
address = pub-WILEY:adr,
pages = "xxvi + 665",
year = "2016",
ISBN = "1-119-15272-0 (hardcover)",
ISBN-13 = "978-1-119-15272-9 (hardcover), 978-1-119-15273-6",
LCCN = "QA276.45.R3 T38 2016",
bibdate = "Wed Jan 31 05:34:29 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/s-plus.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = ack-nhfb,
author-dates = "1979--",
subject = "Mathematical statistics; Data processing; R (Computer
program language)",
}
@Book{Urdinez:2021:RPD,
editor = "Francisco Urdinez and Andr{\'y}es Cruz",
booktitle = "{R} for Political Data Science: a Practical Guide",
title = "{R} for Political Data Science: a Practical Guide",
publisher = pub-CRC,
address = pub-CRC:adr,
pages = "xix + 439",
year = "2021",
DOI = "https://doi.org/10.1201/9781003010623.",
ISBN = "0-367-81889-2 (hardcover), 1-000-20447-2 (e-book),
1-000-20449-9 (Mobipocket), 1-000-20451-0 (ePub),
1-003-01062-8 (e-book)",
ISBN-13 = "978-0-367-81889-0 (hardcover), 978-1-000-20447-6
(e-book), 978-1-000-20449-0 (Mobipocket),
978-1-000-20451-3 (ePub), 978-1-003-01062-3 (e-book)",
LCCN = "JA71.7 .R22 2021",
bibdate = "Mon Jun 7 09:59:19 MDT 2021",
bibsource = "fsz3950.oclc.org:210/WorldCat;
https://www.math.utah.edu/pub/tex/bib/s-plus.bib",
series = "A Chapman et Hall book",
acknowledgement = ack-nhfb,
subject = "Political statistics; Computer programs; R (Computer
program language); POLITICAL SCIENCE; General.;
Computer programs.; R (Computer program language)",
tableofcontents = "Part I. Introduction to R \\
1. Basic R / Andr{\'y}es Cruz \\
2. Data Management / Andr{\'y}es Cruz \\
3. Data Visualization / Soledad Araya \\
4. Data Loading / Soledad Araya and Andr{\'y}es Cruz
\\
Part II. Models \\
5. Linear Models / In{\'y}es Fynn and Lihuen Nocetto
\\
6. Case Selection Based on Regressions / In{\'y}es Fynn
and Lihuen Nocetto \\
7. Panel Data / Francisco Urdinez \\
8. Logistic Models / Francisco Urdinez \\
9. Survival Models / Francisco Urdinez \\
10. Causal Inference / Andrew Heiss \\
Part III. Applications \\
11. Advanced Political Data Management / Andr{\'y}es
Cruz and Francisco Urdinez \\
12. Web Mining / Gonzalo Barr{\'y}ia \\
13. Quantitaive Text Analysis / Sebasti{\'y}an Huneeus
\\
14. Networks / Andr{\'y}es Cruz \\
15. Principal Component Analysis / Caterina Labr{\'y}in
and Francisco Urdinez \\
16. Maps and Spatial Data / Andrea Escobar and Gabriel
Ortiz",
}
