GridOnClusters: Multivariate Joint Grid Discretization
Discretize multivariate continuous data using a grid to capture the joint distribution that preserves clusters in original data. It can handle both labeled or unlabeled data. Both published methods (Wang et al 2020) <doi:10.1145/3388440.3412415> and new methods are included. Joint grid discretization can prepare data for model-free inference of association, function, or causality.
| Version: | 0.3.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp,Ckmeans.1d.dp,cluster,fossil,dqrng,mclust,Rdpack,plotrix |
| LinkingTo: | BH,Rcpp |
| Suggests: | FunChisq,knitr,testthat (≥ 2.1.0),rmarkdown |
| Published: | 2025-12-12 |
| 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 |
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