Package: ConcordanceTest 1.0.3

Laura Anton-Sanchez

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>.

Authors:Javier Alcaraz [aut], Laura Anton-Sanchez [aut, cre], Juan Francisco Monge [aut]

ConcordanceTest_1.0.3.tar.gz
ConcordanceTest_1.0.3.tar.gz(r-4.7-any)ConcordanceTest_1.0.3.tar.gz(r-4.6-any)
ConcordanceTest_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ConcordanceTest/json (API)
NEWS

# Install 'ConcordanceTest' in R:
install.packages('ConcordanceTest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 227 downloads 8 exports 2 dependencies

Last updated from:4f94c246f3. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK145
linux-release-x86_64OK106
wasm-releaseOK99

Exports:CT_CoefficientCT_Critical_ValuesCT_Density_PlotCT_DistributionCT_Hypothesis_TestCT_Probability_PlotLOPPermutations_With_Repetition

Dependencies:Rglpkslam