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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: 1.1-6
Depends: R (≥ 4.0.0)
Imports: MASS, reshape, plyr, stats, graphics, grDevices, utils
Suggests: knitr, car, ggplot2, colorspace, mediation, GGally, codetools
Published: 2024-03-15
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

Documentation:

Reference manual: WRS2.pdf
Vignettes: WRS2

Downloads:

Package source: WRS2_1.1-6.tar.gz
Windows binaries: r-devel: WRS2_1.1-6.zip, r-release: WRS2_1.1-6.zip, r-oldrel: WRS2_1.1-6.zip
macOS binaries: r-release (arm64): WRS2_1.1-6.tgz, r-oldrel (arm64): WRS2_1.1-6.tgz, r-release (x86_64): WRS2_1.1-6.tgz, r-oldrel (x86_64): WRS2_1.1-6.tgz
Old sources: WRS2 archive

Reverse dependencies:

Reverse imports: adventr, negligible, statsExpressions, walrus
Reverse suggests: correlation, ggstatsplot, parameters, twowaytests

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WRS2 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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