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WRS2.Rnwusingknitr::knitrA collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Authors:Patrick Mair [cre, aut], Rand Wilcox [aut], Indrajeet Patil [ctb]
WRS2_1.1-7.tar.gz
WRS2_1.1-7.zip(r-4.7)WRS2_1.1-7.zip(r-4.6)WRS2_1.1-7.zip(r-4.5)
WRS2_1.1-7.tgz(r-4.6-any)WRS2_1.1-7.tgz(r-4.5-any)
WRS2_1.1-7.tar.gz(r-4.7-any)WRS2_1.1-7.tar.gz(r-4.6-any)
WRS2_1.1-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WRS2/json (API)
| # Install 'WRS2' in R: |
| install.packages('WRS2', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/psychor
9.15 score 10 packages 596 scripts 13k downloads 71 mentions 59 exports 4 dependencies
Last updated from:bd3f6cfe22. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 171 | ||
| source / vignettes | OK | 239 | ||
| linux-release-x86_64 | OK | 158 | ||
| macos-release-arm64 | OK | 100 | ||
| macos-oldrel-arm64 | OK | 105 | ||
| windows-devel | OK | 133 | ||
| windows-release | OK | 127 | ||
| windows-oldrel | OK | 118 | ||
| wasm-release | OK | 130 |
Exports:akp.effectancbootancovabinbandbwtrimdep.effectdiscANOVAdiscmcpdiscstepDqcomhdlinconmcp2amcp2atmmcppb20med1waymed2waymedpb2mestmestsemommsmedseonesampbonesteppairdepbpb2genpbad2waypballpbcorQanovaqcomhdrmanovarmanovabrmmcprungenrunmborunmeansppbasppbbsppbit1wayt1waybtt2wayt3waytrimcibttrimsetsplittwocortwopcorwinallwincorwinmeanwinsewinvarwmcpAKPyuenyuen.effect.ciyuenbtyuendZYmediate
