person("Luis"          , "Torgo",               role = c("ctb")),

Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Suggests: RDCOMClient, tcltk, VGAM, R.rsp

person("Ben"           , "Mainwaring",          role = c("ctb")),
expm, Rcpp (>= 0.12.10), rstudioapi, Exact

person("Chandima"      , "Arachchige",          role = c("ctb")),
person("Luke"          , "Prendergast",         role = c("ctb")),
expm, Rcpp (>= 0.12.10), rstudioapi, Exact, gld

person("Nicholas"      , "Cooper",              role = c("ctb")),
person("Sereina"       , "Graber",              role = c("ctb")),

person("Ralph"         , "Scherer",             role = c("ctb")),

expm, Rcpp (>= 0.12.10), rstudioapi, Exact, gld, data.table

expm, Rcpp (>= 0.12.10), rstudioapi, Exact, gld, data.table,

person("Danielle"      , "Navarro",             role = c("ctb")),

Author: Andri Signorell. Includes R source code and/or documentation previously published by (in alphabetical order): Nanina Anderegg, Tomas Aragon, Antti Arppe, Ben Bolker, Stephane Champely, Daniel Chessel, Leanne Chhay, Michael Dewey, Harold C. Doran, Stephane Dray, Charles Dupont, Jeff Enos, Claus Ekstrom, Martin Elff, John Fox, Tal Galili, Matthias Gamer, Juergen Gross, Gabor Grothendieck, Frank E. Harrell Jr, Michael Hoehle, Christian W. Hoffmann, Markus Huerzeler, Rob J. Hyndman, Pablo J. Villacorta Iglesias, David Kahle, Matthias Kohl, Mikko Korpela, Jim Lemon, Martin Maechler, Arni Magnusson, Daniel Malter, Alina Matei, David Meyer, Yongyi Min, Markus Naepflin, Derek Ogle, Sandrine Pavoine, Roland Rapold, William Revelle, Venkatraman E. Seshan, Greg Snow, Michael Smithson, Werner A. Stahel, Yves Tille, Adrian Trapletti, Kevin Ushey, Bill Venables, John Verzani, Gregory R. Warnes, Stefan Wellek, Peter Wolf, Achim Zeileis
Description: DescTools contains a bunch of basic statistic functions and convenience wrappers for efficiently describing data, creating specific plots, doing reports using MS Word, Excel or PowerPoint. The package's intention is to offer a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.