Package: GridOnClusters 0.1.0.1

GridOnClusters: Cluster-Preserving Multivariate Joint Grid Discretization

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.

Authors:Jiandong Wang [aut], Sajal Kumar [aut], Joe Song [aut, cre]

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GridOnClusters.pdf |GridOnClusters.html✨
GridOnClusters/json (API)
NEWS

# Install 'GridOnClusters' in R:
install.packages('GridOnClusters', repos = c('https://joemsong.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 717 downloads 3 exports 16 dependencies

Last updated 6 months agofrom:e8e23f4150. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64OKOct 08 2024
R-4.5-linux-x86_64OKOct 08 2024
R-4.4-win-x86_64OKOct 08 2024
R-4.4-mac-x86_64OKOct 08 2024
R-4.4-mac-aarch64OKOct 08 2024
R-4.3-win-x86_64OKOct 08 2024
R-4.3-mac-x86_64OKOct 08 2024
R-4.3-mac-aarch64OKOct 08 2024

Exports:clusterdiscretize.jointlyplotGOCpatterns

Dependencies:BHCkmeans.1d.dpclusterdqrngforeignfossillatticemapsmclustplotrixrbibutilsRcppRdpackshapefilessitmosp

Examples of joint grid discretization

Jiandong Wang, Sajal Kumar, and Joe Song

Rendered fromExamples.Rmdusingknitr::rmarkdownon Oct 08 2024.

Last update: 2022-01-28
Started: 2020-03-20