cord: Community Estimation in G-Models via CORD

Partitions data points (variables) into communities/clusters, similar to clustering algorithms such as k-means and hierarchical clustering. This package implements a clustering algorithm based on a new metric CORD, defined for high-dimensional parametric or semiparametric distributions. For more details see Bunea et al. (2020), Annals of Statistics <doi:10.1214/18-AOS1794>.

Version: 0.2.0
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: pcaPP
Published: 2025-10-15
DOI: 10.32614/CRAN.package.cord
Author: Xi (Rossi) LUO [aut, cre], Florentina Bunea [aut], Christophe Giraud [aut]
Maintainer: Xi (Rossi) LUO <xi.rossi.luo at gmail.com>
License: GPL-3
URL: https://doi.org/10.1214/18-AOS1794
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: cord results

Documentation:

Reference manual: cord.html , cord.pdf

Downloads:

Package source: cord_0.2.0.tar.gz
Windows binaries: r-devel: cord_0.1.1.zip, r-release: cord_0.1.1.zip, r-oldrel: cord_0.1.1.zip
macOS binaries: r-release (arm64): cord_0.1.1.tgz, r-oldrel (arm64): cord_0.1.1.tgz, r-release (x86_64): cord_0.2.0.tgz, r-oldrel (x86_64): cord_0.2.0.tgz
Old sources: cord archive

Linking:

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