Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Version: 1.4-13 Depends: R (≥ 2.4.0), grid Imports: stats, utils, MASS, grDevices, colorspace, lmtest Suggests: KernSmooth, mvtnorm, kernlab, HSAUR3, coin Published: 2024-09-16 DOI: 10.32614/CRAN.package.vcd Author: David Meyer [aut, cre], Achim Zeileis [aut], Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [aut] Maintainer: David Meyer <David.Meyer at R-project.org> License: GPL-2 NeedsCompilation: no Citation: vcd citation info Materials: NEWS In views: TeachingStatistics CRAN checks: vcd results Documentation: Downloads: Reverse dependencies: Reverse depends: confreq, HD2013SGI, simPop, vcdExtra Reverse imports: arulesViz, DanielBiostatistics10th, DoE.base, eeptools, gpairs, HH, jmv, MoEClust, oHMMed, OTrecod, pcalg, reappraised, reportROC, VIM, visStatistics, webr Reverse suggests: abd, agridat, archetypes, ca, coin, colorspace, fastR2, flowPlots, fmsb, ggplotify, glmertree, HistData, HSAUR, HSAUR2, HSAUR3, Lahman, mosaic, movMF, party, partykit, pscl, RcmdrPlugin.NMBU, REdaS, RKorAPClient, sageR, sephora, TH.data, UsingR, xgboost Linking:Please use the canonical form https://CRAN.R-project.org/package=vcd to link to this page.
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