RJcluster: RJ Clustering Algorithm

Clustering algorithm for high dimensional data. This algorithm is ideal for data where n << p.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.2), matrixStats, infotheo, rlang, stats, graphics, profvis, mclust, doParallel, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2020-09-23
Author: Rachael Shudde [aut, cre], Shahina Rahman [aut], Valen Johnson [aut]
Maintainer: Rachael Shudde <rachael.shudde at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: RJcluster results

Downloads:

Reference manual: RJcluster.pdf
Vignettes: RJclust_Vignette
Package source: RJcluster_0.1.0.tar.gz
Windows binaries: r-devel: RJcluster_0.1.0.zip, r-release: RJcluster_0.1.0.zip, r-oldrel: RJcluster_0.1.0.zip
macOS binaries: r-release: RJcluster_0.1.0.tgz, r-oldrel: RJcluster_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RJcluster to link to this page.