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 |
Documentation:
| Reference manual: | GridOnClusters.html , GridOnClusters.pdf |
| Vignettes: |
Examples of joint grid discretization (source, R code) |
Downloads:
| Package source: | GridOnClusters_0.3.2.tar.gz |
| Windows binaries: | r-devel: GridOnClusters_0.3.2.zip, r-release: GridOnClusters_0.3.2.zip, r-oldrel: GridOnClusters_0.3.2.zip |
| macOS binaries: | r-release (arm64): GridOnClusters_0.3.2.tgz, r-oldrel (arm64): GridOnClusters_0.3.2.tgz, r-release (x86_64): GridOnClusters_0.3.2.tgz, r-oldrel (x86_64): GridOnClusters_0.3.2.tgz |
| Old sources: | GridOnClusters archive |
Reverse dependencies:
| Reverse suggests: | FunChisq |
Linking:
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