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kSamples (version 1.2-10)

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.

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Version

Install

install.packages('kSamples')

Monthly Downloads

13,575

Version

1.2-10

License

GPL (>= 2)

Maintainer

Fritz Scholz

Last Published

October 7th, 2023

Functions in kSamples (1.2-10)

JT.dist

Null Distribution of the Jonckheere-Terpstra k-Sample Test Statistic
conv

Convolution of Two Discrete Distributions
ShorelineFireEMS

Shoreline Fire and EMS Turnout Times
contingency2xt

Kruskal-Wallis Test for the 2 x t Contingency Table
SteelConfInt

Simultaneous Confidence Bounds Based on Steel's Multiple Comparison Wilcoxon Tests
ad.test.combined

Combined Anderson-Darling k-Sample Tests
ad.pval

\(P\)-Value for the Asymptotic Anderson-Darling Test Distribution
ad.test

Anderson-Darling k-Sample Test
contingency2xt.comb

Combined Kruskal-Wallis Tests for the 2 x t Contingency Tables
Steel.test

Steel's Multiple Comparison Wilcoxon Tests
qn.test.combined

Combined Rank Score k-Sample Tests
jt.test

Jonckheere-Terpstra k-Sample Test for Increasing Alternatives
pp.kSamples

Upper Tail Probability Plots for Objects of Class kSamples
kSamples-package

The Package kSamples Contains Several Nonparametric K-Sample Tests and their Combinations over Blocks
qn.test

Rank Score k-Sample Tests