K-Sample Rank Tests and their Combinations
Description
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.