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.

RobustANOVA: Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality

Robust tests (RW, RPB and RGF) are provided for testing the equality of several long-tailed symmetric (LTS) means when the variances are unknown and arbitrary. RW, RPB and RGF tests are robust versions of Welch's F test proposed by Welch (1951) <doi:10.2307/2332579>, parametric bootstrap test proposed by Krishnamoorthy et. al (2007) <doi:10.1016/j.csda.2006.09.039>; and generalized F test proposed by Weerahandi (1995) <doi:10.2307/2532947>;, respectively. These tests are based on the modified maximum likelihood (MML) estimators proposed by Tiku(1967, 1968) <doi:10.2307/2333859>, <doi:10.1080/01621459.1968.11009228>.

Version: 0.3.0
Imports: stats, PEIP, optimbase
Published: 2022-12-05
DOI: 10.32614/CRAN.package.RobustANOVA
Author: Gamze Guven [aut, cre], Sukru Acitas [aut], Birdal Senoglu [aut]
Maintainer: Gamze Guven <gamzeguven at ogu.edu.tr>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: RobustANOVA results

Documentation:

Reference manual: RobustANOVA.pdf

Downloads:

Package source: RobustANOVA_0.3.0.tar.gz
Windows binaries: r-devel: RobustANOVA_0.3.0.zip, r-release: RobustANOVA_0.3.0.zip, r-oldrel: RobustANOVA_0.3.0.zip
macOS binaries: r-release (arm64): RobustANOVA_0.3.0.tgz, r-oldrel (arm64): RobustANOVA_0.3.0.tgz, r-release (x86_64): RobustANOVA_0.3.0.tgz, r-oldrel (x86_64): RobustANOVA_0.3.0.tgz
Old sources: RobustANOVA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RobustANOVA 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.