Package: RobustANOVA 0.3.0

Gamze Guven

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>.

Authors:Gamze Guven [aut, cre], Sukru Acitas [aut], Birdal Senoglu [aut]

RobustANOVA_0.3.0.tar.gz
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RobustANOVA.pdf |RobustANOVA.html
RobustANOVA/json (API)

# Install 'RobustANOVA' in R:
install.packages('RobustANOVA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 16 dependencies 5 scripts 237 downloads

Last updated 2 years agofrom:971e95a45a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-linuxOKSep 08 2024

Exports:peak_dischargeRGFRPBRW

Dependencies:bvlsdotCall64fieldsgeigenlatticemapsMatrixoptimbasePEIPpracmaRcppRPMGRSEISRwavespamviridisLite