Package: GridOnClusters
Type: Package
Title: Cluster-Preserving Multivariate Joint Grid Discretization
Version: 0.4.1
Date: 2026-07-18
Depends: R (>= 3.5.0)
Authors@R: 
    c(person(given = "Jiandong",
             family = "Wang",
             role = "aut",
             email = "wangjd24@nmsu.edu",
             comment = c(ORCID = "0009-0006-2040-7870")),
      person(given = "Sajal",
             family = "Kumar",
             role = "aut",
             email = "sajal49@nmsu.edu",
             comment = c(ORCID = "0000-0003-0930-1582")),
      person(given = "Joe",
             family = "Song",
             role = c("aut", "cre"),
             email = "joemsong@nmsu.edu",
             comment = c(ORCID = "0000-0002-6883-6547")))
Author: Jiandong Wang [aut] (ORCID: <https://orcid.org/0009-0006-2040-7870>),
  Sajal Kumar [aut] (ORCID: <https://orcid.org/0000-0003-0930-1582>),
  Joe Song [aut, cre] (ORCID: <https://orcid.org/0000-0002-6883-6547>)
Maintainer: Joe Song <joemsong@nmsu.edu>
Description: Discretize multivariate continuous data using a grid to capture the 
 joint distribution that preserves clusters in original data (Wang et al 2020) 
 <doi:10.1145/3388440.3412415>. It can handle both labeled or unlabeled data. 
 Joint grid discretization can prepare data for model-free inference of 
 association, function, or causality.
Imports: Rcpp, Ckmeans.1d.dp, cluster, fossil, dqrng, mclust, Rdpack,
        plotrix
Suggests: FunChisq, knitr, testthat (>= 2.1.0), rmarkdown
RdMacros: Rdpack
License: LGPL (>= 3)
Encoding: UTF-8
LinkingTo: BH, Rcpp, RcppArmadillo
NeedsCompilation: yes
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
Packaged: 2026-07-18 12:05:55 UTC; joesong
Repository: CRAN
Date/Publication: 2026-07-18 12:40:02 UTC
Built: R 4.6.1; x86_64-w64-mingw32; 2026-07-28 03:26:51 UTC; windows
Archs: x64
