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