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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 |
| 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 |
| Reference manual: | ConcordanceTest.pdf |
| 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 |
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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.