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 |
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 |
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