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.
- Version0.3.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release12/05/2022
Team
Gamze Guven
Sukru Acitas
Show author detailsRolesAuthorBirdal Senoglu
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- Imports2 packages