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

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 <doi:10.32614/RJ-2022-039>.

Version: 1.0.3
Depends: R (≥ 3.3.2)
Imports: Rglpk, stats, graphics
Published: 2024-01-15
DOI: 10.32614/CRAN.package.ConcordanceTest
Author: Javier Alcaraz [aut], Laura Anton-Sanchez [aut, cre], Juan Francisco Monge [aut]
Maintainer: Laura Anton-Sanchez <l.anton at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: ConcordanceTest results


Reference manual: ConcordanceTest.pdf


Package source: ConcordanceTest_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ConcordanceTest_1.0.3.tgz, r-oldrel (arm64): ConcordanceTest_1.0.3.tgz, r-release (x86_64): ConcordanceTest_1.0.3.tgz, r-oldrel (x86_64): ConcordanceTest_1.0.3.tgz
Old sources: ConcordanceTest archive


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