Association analysis between categorical variables using the Goodman and Kruskal tau measure. This asymmetric association measure allows the detection of asymmetric relations between categorical variables (e.g., one variable obtained by re-grouping another).
| Version: | 0.0.3 |
| Depends: | R (≥ 3.2.4) |
| Imports: | classInt, corrplot |
| Suggests: | knitr, MASS, testthat, car, rmarkdown |
| Published: | 2020-03-18 |
| DOI: | 10.32614/CRAN.package.GoodmanKruskal |
| Author: | Ron Pearson [aut, cre] |
| Maintainer: | Ron Pearson <ronald.k.pearson at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | GoodmanKruskal results |
| Reference manual: | GoodmanKruskal.html , GoodmanKruskal.pdf |
| Vignettes: |
The GoodmanKruskal package: Measuring association between categorical variables (source, R code) |
| Package source: | GoodmanKruskal_0.0.3.tar.gz |
| Windows binaries: | r-devel: GoodmanKruskal_0.0.3.zip, r-release: GoodmanKruskal_0.0.3.zip, r-oldrel: GoodmanKruskal_0.0.3.zip |
| macOS binaries: | r-release (arm64): GoodmanKruskal_0.0.3.tgz, r-oldrel (arm64): GoodmanKruskal_0.0.3.tgz, r-release (x86_64): GoodmanKruskal_0.0.3.tgz, r-oldrel (x86_64): GoodmanKruskal_0.0.3.tgz |
| Old sources: | GoodmanKruskal archive |
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