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:
RobustANOVA_0.3.0.tar.gz
RobustANOVA_0.3.0.tar.gz(r-4.5-noble)RobustANOVA_0.3.0.tar.gz(r-4.4-noble)
RobustANOVA_0.3.0.tgz(r-4.4-emscripten)RobustANOVA_0.3.0.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:971e95a45a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux | OK | Dec 07 2024 |
Exports:peak_dischargeRGFRPBRW
Dependencies:bvlsdotCall64fieldsgeigenlatticemapsMatrixoptimbasePEIPpracmaRcppRPMGRSEISRwavespamviridisLite
