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). Joint grid discretization is applicable as a data transformation step to prepare data for model-free inference of association, function, or causality.


Reference manual

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0.0.8 by Joe Song, a year ago

Browse source code at

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

Documentation:   PDF Manual  

LGPL (>= 3) license

Imports Rcpp, cluster, fossil, dqrng, Rdpack, plotrix

Suggests Ckmeans.1d.dp, FunChisq, knitr, testthat, rmarkdown

Linking to Rcpp

Suggested by FunChisq.

See at CRAN