Package: GiniDistance 0.1.1

Dao Nguyen

GiniDistance: A New Gini Correlation Between Quantitative and Qualitative Variables

An implementation of a new Gini covariance and correlation to measure dependence between a categorical and numerical variables. Dang, X., Nguyen, D., Chen, Y. and Zhang, J., (2018) <arxiv:1809.09793>.

Authors:Dao Nguyen and Xin Dang

GiniDistance_0.1.1.tar.gz
GiniDistance_0.1.1.tar.gz(r-4.5-noble)GiniDistance_0.1.1.tar.gz(r-4.4-noble)
GiniDistance_0.1.1.tgz(r-4.4-emscripten)GiniDistance_0.1.1.tgz(r-4.3-emscripten)
GiniDistance.pdf |GiniDistance.html✨
GiniDistance/json (API)

# Install 'GiniDistance' in R:
install.packages('GiniDistance', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 175 downloads 19 exports 26 dependencies

Last updated 3 years agofrom:f869ebb439. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 26 2025
R-4.5-linux-x86_64OKMar 26 2025
R-4.4-linux-x86_64OKMar 26 2025

Exports:ConfidenceIntervalCriticalValuedCordCovgCorgCovgmdKdCorKdCovKgCorKgCovKgmdPermutationTestRcppgCorRcppgCovRcppGmdRcppKgCorRcppKgCovRcppKGmd

Dependencies:bootcellrangerclicpp11crayonenergyfansigluegslhmslifecyclemagrittrpillarpkgconfigprettyunitsprogressR6randomForestRcppRcppArmadilloreadxlrematchrlangtibbleutf8vctrs