Discretize multivariate continuous data using a grid that captures the joint distribution via preserving clusters in the original data (Wang et al 2020) <doi:10.1145/3388440.3412415>. Joint grid discretization is applicable as a data transformation step to prepare data for model-free inference of association, function, or causality.
Version: 0.1.0.2 Imports: Rcpp, Ckmeans.1d.dp, cluster, fossil, dqrng, mclust, Rdpack, plotrix LinkingTo: Rcpp Suggests: FunChisq, knitr, testthat (≥ 3.0.0), rmarkdown Published: 2025-05-27 DOI: 10.32614/CRAN.package.GridOnClusters Author: Jiandong Wang [aut], Sajal Kumar [aut], Joe Song [aut, cre] Maintainer: Joe Song <joemsong at nmsu.edu> License: LGPL (≥ 3) NeedsCompilation: yes Citation: GridOnClusters citation info Materials: README NEWS CRAN checks: GridOnClusters results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=GridOnClusters to link to this page.
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