K-Sample Rank Tests and their Combinations
Upper Tail Probability Plots for Objects of Class kSamples
Combined Rank Score k-Sample Tests
Rank Score k-Sample Tests
Steel's Multiple Comparison Wilcoxon Tests
Simultaneous Confidence Bounds Based on Steel's Multiple Comparison Wi...
-Value for the Asymptotic Anderson-Darling Test Distribution
Combined Anderson-Darling k-Sample Tests
Anderson-Darling k-Sample Test
Combined Kruskal-Wallis Tests for the 2 x t Contingency Tables
Kruskal-Wallis Test for the 2 x t Contingency Table
Convolution of Two Discrete Distributions
Null Distribution of the Jonckheere-Terpstra k-Sample Test Statistic
Jonckheere-Terpstra k-Sample Test for Increasing Alternatives
The Package kSamples Contains Several Nonparametric K-Sample Tests and...
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.