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'))

Peer review:

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

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

cpp

1.00 score 1 scripts 181 downloads 19 exports 26 dependencies

Last updated 2 years agofrom:f869ebb439. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-linux-x86_64OKNov 26 2024

Exports:ConfidenceIntervalCriticalValuedCordCovgCorgCovgmdKdCorKdCovKgCorKgCovKgmdPermutationTestRcppgCorRcppgCovRcppGmdRcppKgCorRcppKgCovRcppKGmd

Dependencies:bootcellrangerclicpp11crayonenergyfansigluegslhmslifecyclemagrittrpillarpkgconfigprettyunitsprogressR6randomForestRcppRcppArmadilloreadxlrematchrlangtibbleutf8vctrs