WRS2: A Collection of Robust Statistical Methods

A 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.

Version: 1.1-3
Depends: R (≥ 3.2.0)
Imports: MASS, reshape, plyr, stats, graphics, grDevices, utils, mc2d
Suggests: knitr, car, ggplot2, colorspace, mediation, GGally, codetools
Published: 2021-07-20
Author: Patrick Mair [cre, aut], Rand Wilcox [aut], Indrajeet Patil [ctb]
Maintainer: Patrick Mair <mair at fas.harvard.edu>
License: GPL-3
URL: https://r-forge.r-project.org/projects/psychor/
NeedsCompilation: yes
Citation: WRS2 citation info
Materials: NEWS
In views: Robust
CRAN checks: WRS2 results

Downloads:

Reference manual: WRS2.pdf
Vignettes: WRS2
Package source: WRS2_1.1-3.tar.gz
Windows binaries: r-devel: WRS2_1.1-3.zip, r-devel-UCRT: WRS2_1.1-3.zip, r-release: WRS2_1.1-3.zip, r-oldrel: WRS2_1.1-3.zip
macOS binaries: r-release (arm64): WRS2_1.1-3.tgz, r-release (x86_64): WRS2_1.1-3.tgz, r-oldrel: WRS2_1.1-3.tgz
Old sources: WRS2 archive

Reverse dependencies:

Reverse imports: adventr, pairwiseComparisons, statsExpressions, walrus
Reverse suggests: correlation, ggstatsplot, parameters

Linking:

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