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semidist: Measure Dependence Between Categorical and Continuous Variables

Semi-distance and mean-variance (MV) index are proposed to measure the dependence between a categorical random variable and a continuous variable. Test of independence and feature screening for classification problems can be implemented via the two dependence measures. For the details of the methods, see Zhong et al. (2023) <doi:10.1080/01621459.2023.2284988>; Cui and Zhong (2019) <doi:10.1016/j.csda.2019.05.004>; Cui, Li and Zhong (2015) <doi:10.1080/01621459.2014.920256>.

Version: 0.1.0
Imports: energy, FNN, furrr, purrr, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-21
DOI: 10.32614/CRAN.package.semidist
Author: Wei Zhong [aut], Zhuoxi Li [aut, cre, cph], Wenwen Guo [aut], Hengjian Cui [aut], Runze Li [aut]
Maintainer: Zhuoxi Li <chainchei at gmail.com>
BugReports: https://github.com/wzhong41/semidist/issues
License: MIT + file LICENSE
URL: https://github.com/wzhong41/semidist
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: semidist results

Documentation:

Reference manual: semidist.pdf

Downloads:

Package source: semidist_0.1.0.tar.gz
Windows binaries: r-devel: semidist_0.1.0.zip, r-release: semidist_0.1.0.zip, r-oldrel: semidist_0.1.0.zip
macOS binaries: r-release (arm64): semidist_0.1.0.tgz, r-oldrel (arm64): semidist_0.1.0.tgz, r-release (x86_64): semidist_0.1.0.tgz, r-oldrel (x86_64): semidist_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=semidist 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.
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