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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) <doi:10.48550/arXiv.1809.09793>.

Version: 0.1.1
Depends: R (≥ 3.0.0)
Imports: Rcpp (≥ 1.0.0), energy, readxl, randomForest
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-09-02
Author: Dao Nguyen and Xin Dang
Maintainer: Dao Nguyen <dxnguyen at go.olemiss.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: GiniDistance results

Documentation:

Reference manual: GiniDistance.pdf

Downloads:

Package source: GiniDistance_0.1.1.tar.gz
Windows binaries: r-devel: GiniDistance_0.1.1.zip, r-release: GiniDistance_0.1.1.zip, r-oldrel: GiniDistance_0.1.1.zip
macOS binaries: r-release (arm64): GiniDistance_0.1.1.tgz, r-oldrel (arm64): GiniDistance_0.1.1.tgz, r-release (x86_64): GiniDistance_0.1.1.tgz, r-oldrel (x86_64): GiniDistance_0.1.1.tgz
Old sources: GiniDistance archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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