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>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: RobustANOVA results


Reference manual: RobustANOVA.pdf


Package source: RobustANOVA_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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