Package: GridOnClusters 0.3.2

Joe Song
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.
Authors:
GridOnClusters_0.3.2.tar.gz
GridOnClusters_0.3.2.tar.gz(r-4.7-arm64)GridOnClusters_0.3.2.tar.gz(r-4.7-x86_64)GridOnClusters_0.3.2.tar.gz(r-4.6-arm64)GridOnClusters_0.3.2.tar.gz(r-4.6-x86_64)
GridOnClusters_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GridOnClusters/json (API)
| # Install 'GridOnClusters' in R: |
| install.packages('GridOnClusters', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:816bb0f302. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 194 | ||
| linux-devel-x86_64 | OK | 169 | ||
| source / vignettes | OK | 296 | ||
| linux-release-arm64 | OK | 187 | ||
| linux-release-x86_64 | OK | 171 | ||
| wasm-release | OK | 156 |
Exports:clusterdiscretize.jointlygen_simdataplotGOCpatterns
Dependencies:BHCkmeans.1d.dpclusterdqrngforeignfossillatticemapsmclustplotrixrbibutilsRcppRdpackshapefilessitmosp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Discretize Multivariate Continuous Data by Cluster-Preserving Grid | discretize.jointly |
| Plotting Grid on Continuous Data | plot.GridOnClusters |