Package: cord
Title: Community Estimation in G-Models via CORD
Version: 0.2.0
Authors@R: c(
    person("Xi (Rossi)", "LUO", 
           email = "xi.rossi.luo@gmail.com", 
           role = c("aut", "cre")
          ),
    person("Florentina", "Bunea", 
           role = "aut"),
    person("Christophe", "Giraud", 
           role = "aut")
    )
Maintainer: Xi (Rossi) LUO <xi.rossi.luo@gmail.com>
Author: Xi (Rossi) LUO [aut, cre], Florentina Bunea [aut], Christophe
        Giraud [aut]
Description: 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>.
License: GPL-3
URL: https://doi.org/10.1214/18-AOS1794
Encoding: UTF-8
Suggests: pcaPP
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
RoxygenNote: 7.3.3
Repository: https://rluo.r-universe.dev
Date/Publication: 2025-10-15 22:16:02 UTC
RemoteUrl: https://github.com/rluo/cord
RemoteRef: HEAD
RemoteSha: f2a73b9aa34056452339ce686cef427ec28a68bd
Packaged: 2026-06-21 08:19:39 UTC; root