CRAN/E | GridOnClusters

GridOnClusters

Cluster-Preserving Multivariate Joint Grid Discretization

Installation

About

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.

Citation GridOnClusters citation info

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Version 0.1.0
Published 2022-01-28 818 days ago
Needs compilation? yes
License LGPL (≥ 3)
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Maintainer

Maintainer

Joe Song

joemsong@cs.nmsu.edu

Authors

Jiandong Wang

aut

Sajal Kumar

aut

Joe Song

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Examples of joint grid discretization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GridOnClusters archive

Imports

Rcpp
Ckmeans.1d.dp
cluster
fossil
dqrng
mclust
Rdpack
plotrix

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knitr
testthat ≥ 2.1.0
rmarkdown

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Rcpp

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