Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.
Version: | 1.1-1 |
Imports: | graphics, stats, rpart, class |
Published: | 2021-09-27 |
DOI: | 10.32614/CRAN.package.supclust |
Author: | Marcel Dettling and Martin Maechler |
Maintainer: | Martin Maechler <maechler at stat.math.ethz.ch> |
License: | GPL-3 |
URL: | https://github.com/mmaechler/supclust |
NeedsCompilation: | yes |
Materials: | README ChangeLog |
In views: | Omics |
CRAN checks: | supclust results |
Reference manual: | supclust.pdf |
Package source: | supclust_1.1-1.tar.gz |
Windows binaries: | r-devel: supclust_1.1-1.zip, r-release: supclust_1.1-1.zip, r-oldrel: supclust_1.1-1.zip |
macOS binaries: | r-release (arm64): supclust_1.1-1.tgz, r-oldrel (arm64): supclust_1.1-1.tgz, r-release (x86_64): supclust_1.1-1.tgz, r-oldrel (x86_64): supclust_1.1-1.tgz |
Old sources: | supclust archive |
Please use the canonical form https://CRAN.R-project.org/package=supclust to link to this page.