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.


Reference manual

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1.2-9 by Fritz Scholz, a year ago

Browse source code at https://github.com/cran/kSamples

Authors: Fritz Scholz [aut, cre] , Angie Zhu [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports methods, graphics, stats

Depends on SuppDists

Imported by EnviroPRA, EvaluateCore, LSDsensitivity, PMCMRplus, WeibullFit, ldamatch.

Depended on by CryptRndTest.

See at CRAN