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.

Version: 1.2-4
Depends: SuppDists
Imports: methods, graphics, stats
Published: 2016-06-10
Author: Fritz Scholz [aut, cre], Angie Zhu [aut]
Maintainer: Fritz Scholz <fscholz at u.washington.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: kSamples results


Reference manual: kSamples.pdf
Package source: kSamples_1.2-4.tar.gz
Windows binaries: r-devel: kSamples_1.2-4.zip, r-release: kSamples_1.2-4.zip, r-oldrel: kSamples_1.2-4.zip
OS X Mavericks binaries: r-release: kSamples_1.2-4.tgz, r-oldrel: kSamples_1.2-4.tgz
Old sources: kSamples archive

Reverse dependencies:

Reverse depends: CryptRndTest
Reverse imports: ldamatch


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