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PMCMRplus: Calculate Pairwise Multiple Comparisons of Mean Rank SumsExtended

For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehrotra test, Spearman test) are included. In addition, a Friedman-test for one-way ANOVA with repeated measures on ranks (CRBD) and Skillings-Mack test for unbalanced CRBD is provided with consequent all-pairs tests (Nemenyi test, Siegel test, Miller test, Conover test, Exact test) and many-to-one tests (Nemenyi test, Demsar test, Exact test). A trend can be tested with Pages's test. Durbin's test for a two-way balanced incomplete block design (BIBD) is given in this package as well as Gore's test for CRBD with multiple observations per cell is given. Outlier tests, Mandel's k- and h statistic as well as functions for Type I error and Power analysis as well as generic summary, print and plot methods are provided.

Version:1.9.12
Depends:R (≥ 3.5.0)
Imports:mvtnorm (≥ 1.0),multcompView,gmp,Rmpfr,SuppDists,kSamples (≥ 1.2.7),BWStest (≥ 0.2.1),MASS, stats
Suggests:xtable, graphics,knitr,rmarkdown,car,e1071,multcomp,pwr,NSM3
Published:2024-09-08
DOI:10.32614/CRAN.package.PMCMRplus
Author:Thorsten PohlertORCID iD [aut, cre]
Maintainer:Thorsten Pohlert <thorsten.pohlert at gmx.de>
License:GPL (≥ 3)
NeedsCompilation:yes
SystemRequirements:gmp (>= 4.2.3), mpfr (>= 3.0.0) | file README.md
Materials:README,NEWS
In views:Environmetrics
CRAN checks:PMCMRplus results

Documentation:

Reference manual:PMCMRplus.html ,PMCMRplus.pdf
Vignettes:PMCMR Quick Reference Guide (source)

Downloads:

Package source: PMCMRplus_1.9.12.tar.gz
Windows binaries: r-devel:PMCMRplus_1.9.12.zip, r-release:PMCMRplus_1.9.12.zip, r-oldrel:PMCMRplus_1.9.12.zip
macOS binaries: r-release (arm64):PMCMRplus_1.9.12.tgz, r-oldrel (arm64):PMCMRplus_1.9.12.tgz, r-release (x86_64):PMCMRplus_1.9.12.tgz, r-oldrel (x86_64):PMCMRplus_1.9.12.tgz
Old sources: PMCMRplus archive

Reverse dependencies:

Reverse imports:compareGroups,easyDes,phenomis,RHRV,signeR,statsExpressions,YAPSA
Reverse suggests:cld,eq5d,matrixTests,memes,mlr,mlr3benchmark,parameters,pcutils,sageR

Linking:

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