Package: kSamples 1.2-10
Fritz Scholz
kSamples: K-Sample Rank Tests and their Combinations
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
Authors:
kSamples_1.2-10.tar.gz
kSamples_1.2-10.tar.gz(r-4.5-noble)kSamples_1.2-10.tar.gz(r-4.4-noble)
kSamples_1.2-10.tgz(r-4.4-emscripten)kSamples_1.2-10.tgz(r-4.3-emscripten)
kSamples.pdf |kSamples.html✨
kSamples/json (API)
NEWS
# Install 'kSamples' in R: |
install.packages('kSamples', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:2296a86b86. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | OK | Dec 02 2024 |
Exports:ad.pvalad.testad.test.combinedcontingency2xtcontingency2xt.combconvdjtjt.testpjtpp.kSamplesqjtqn.testqn.test.combinedSteel.testSteelConfInt
Dependencies:SuppDists