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GridOnClusters  

Cluster-Preserving Multivariate Joint Grid Discretization
View on CRAN: Click here


Download and install GridOnClusters package within the R console
Install from CRAN:
install.packages("GridOnClusters")

Install from Github:
library("remotes")
install_github("cran/GridOnClusters")

Install by package version:
library("remotes")
install_version("GridOnClusters", "0.1.0.1")



Attach the package and use:
library("GridOnClusters")
Maintained by
Joe Song
[Scholar Profile | Author Map]
First Published: 2020-03-20
Latest Update: 2022-01-28
Description:
Discretize multivariate continuous data using a grid that captures the joint distribution via preserving clusters in the original data (Wang et al. 2020) . Joint grid discretization is applicable as a data transformation step to prepare data for model-free inference of association, function, or causality.
How to cite:
Joe Song (2020). GridOnClusters: Cluster-Preserving Multivariate Joint Grid Discretization. R package version 0.1.0.1, https://cran.r-project.org/web/packages/GridOnClusters. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.0.3 (2020-03-20 15:40), 0.0.6 (2020-03-28 02:10), 0.0.7 (2020-04-06 14:42), 0.0.8 (2020-09-15 19:10), 0.1.0 (2022-01-28 06:40)
Other packages that cited GridOnClusters R package
View GridOnClusters citation profile
Other R packages that GridOnClusters depends, imports, suggests or enhances
Complete documentation for GridOnClusters
Functions, R codes and Examples using the GridOnClusters R package
Some associated functions: cluster . discretize.jointly . plot.GridOnClusters . plotGOCpatterns . 
Some associated R codes: RcppExports.R . discretize_jointly.R . plot_patterns.R .  Full GridOnClusters package functions and examples
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