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ConcordanceTest (version 1.0.3)

An Alternative to the Kruskal-Wallis Based on the Kendall Tau Distance

Description

The Concordance Test is a non-parametric method for testing whether two o more samples originate from the same distribution. It extends the Kendall Tau correlation coefficient when there are only two groups. For details, see Alcaraz J., Anton-Sanchez L., Monge J.F. (2022) The Concordance Test, an Alternative to Kruskal-Wallis Based on the Kendall-tau Distance: An R Package. The R Journal 14, 26–53 .

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Version

Install

install.packages('ConcordanceTest')

Monthly Downloads

327

Version

1.0.3

License

GPL-3

Maintainer

Laura Anton-Sanchez

Last Published

January 15th, 2024

Functions in ConcordanceTest (1.0.3)

CT_Distribution

Probability Distribution of the Concordance Coefficient and the Kruskal-Wallis Statistic
CT_Hypothesis_Test

Hypothesis Test for Testing whether Samples Originate from the Same Distribution
CT_Critical_Values

Critical Values of the Concordance and Kruskal-Wallis Tests
CT_Coefficient

Concordance Coefficient and Kruskal-Wallis Statistic
Permutations_With_Repetition

Enumerate the Permutations of the Elements of a Vector When Some of those Elements are Identical
LOP

Linear Ordering Problem (LOP)
CT_Density_Plot

Density Plot from the Concordance Coefficient and the Kruskal-Wallis Normalized Statistic
CT_Probability_Plot

Probability Plot for the Concordance Coefficient and the Kruskal-Wallis Statistic