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