The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

walrus: Robust Statistical Methods

A toolbox of common robust statistical tests, including robust descriptives, robust t-tests, and robust ANOVA. It is also available as a module for 'jamovi' (see <https://www.jamovi.org> for more information). Walrus is based on the WRS2 package by Patrick Mair, which is in turn based on the scripts and work of Rand Wilcox. These analyses are described in depth in the book 'Introduction to Robust Estimation & Hypothesis Testing'.

Version: 1.0.5
Imports: WRS2, ggplot2, jmvcore (≥ 2.2), R6
Suggests: MASS
Published: 2022-09-08
Author: Jonathon Love, Patrick Mair
Maintainer: Jonathon Love <jon at thon.cc>
BugReports: https://github.com/jamovi/walrus/issues
License: GPL-3
URL: https://github.com/jamovi/walrus
NeedsCompilation: no
In views: Robust
CRAN checks: walrus results

Documentation:

Reference manual: walrus.pdf

Downloads:

Package source: walrus_1.0.5.tar.gz
Windows binaries: r-devel: walrus_1.0.5.zip, r-release: walrus_1.0.5.zip, r-oldrel: walrus_1.0.5.zip
macOS binaries: r-release (arm64): walrus_1.0.5.tgz, r-oldrel (arm64): walrus_1.0.5.tgz, r-release (x86_64): walrus_1.0.5.tgz, r-oldrel (x86_64): walrus_1.0.5.tgz
Old sources: walrus archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=walrus 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.
Health stats visible at Monitor.