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