Package: semidist 0.1.0

Zhuoxi Li

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>.

Authors:Wei Zhong [aut], Zhuoxi Li [aut, cre, cph], Wenwen Guo [aut], Hengjian Cui [aut], Runze Li [aut]

semidist_0.1.0.tar.gz
semidist_0.1.0.zip(r-4.5)semidist_0.1.0.zip(r-4.4)semidist_0.1.0.zip(r-4.3)
semidist_0.1.0.tgz(r-4.4-x86_64)semidist_0.1.0.tgz(r-4.4-arm64)semidist_0.1.0.tgz(r-4.3-x86_64)semidist_0.1.0.tgz(r-4.3-arm64)
semidist_0.1.0.tar.gz(r-4.5-noble)semidist_0.1.0.tar.gz(r-4.4-noble)
semidist_0.1.0.tgz(r-4.4-emscripten)semidist_0.1.0.tgz(r-4.3-emscripten)
semidist.pdf |semidist.html
semidist/json (API)
NEWS

# Install 'semidist' in R:
install.packages('semidist', repos = c('https://wzhong41.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/wzhong41/semidist/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

3.00 score 1 stars 125 downloads 10 exports 20 dependencies

Last updated 12 months agofrom:0415822d1c. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 23 2024
R-4.5-win-x86_64OKOct 23 2024
R-4.5-linux-x86_64OKOct 23 2024
R-4.4-win-x86_64OKOct 23 2024
R-4.4-mac-x86_64OKOct 23 2024
R-4.4-mac-aarch64OKOct 23 2024
R-4.3-win-x86_64OKOct 23 2024
R-4.3-mac-x86_64OKOct 23 2024
R-4.3-mac-aarch64OKOct 23 2024

Exports:MINTsemiautoMINTsemipermmvmv_sismv_testsd_sissd_testsdcorsdcovswitch_cat_repr

Dependencies:bootclicodetoolsdigestenergyFNNfurrrfutureglobalsgluegsllifecyclelistenvmagrittrparallellypurrrRcppRcppArmadillorlangvctrs