GNU R 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.
