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:
Downloads:
Reverse dependencies:
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