Measure Dependence Between Categorical and Continuous Variables R package semidist version 0.1.0 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>. Software Imports: energy, FNN, furrr, purrr, Rcpp, stats LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Zhuoxi Li <chainchei@gmail.com> Comprehensive R Archive Network (CRAN) Wei Zhong [aut], Zhuoxi Li [aut, cre, cph], Wenwen Guo [aut], Hengjian Cui [aut], Runze Li [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=semidist/LICENSE) 2023-11-21 application/tgz https://CRAN.R-project.org/package=semidist doi:10.32614/CRAN.package.semidist