The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 umh.es>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: ConcordanceTest results

Documentation:

Reference manual: ConcordanceTest.pdf

Downloads:

Package source: ConcordanceTest_1.0.3.tar.gz
Windows binaries: r-devel: ConcordanceTest_1.0.3.zip, r-release: ConcordanceTest_1.0.3.zip, r-oldrel: ConcordanceTest_1.0.3.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ConcordanceTest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.