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:	1.1-4
Depends:	R (≥ 3.2.0)
Imports:	MASS, reshape, plyr, stats, graphics, grDevices, utils, mc2d
Suggests:	knitr, car, ggplot2, colorspace, mediation, GGally, codetools
Published:	2022-06-10
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_1.1-4.tar.gz
Windows binaries:	r-devel: WRS2_1.1-4.zip, r-release: WRS2_1.1-4.zip, r-oldrel: WRS2_1.1-4.zip
macOS binaries:	r-release (arm64): WRS2_1.1-4.tgz, r-oldrel (arm64): WRS2_1.1-4.tgz, r-release (x86_64): WRS2_1.1-4.tgz, r-oldrel (x86_64): WRS2_1.1-4.tgz
Old sources:	WRS2 archive

Reverse dependencies:

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

Linking:

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