supclust: Supervised Clustering of Predictor Variables Such as Genes

Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.

Version: 1.1-0
Imports: graphics, stats, rpart, class
Published: 2020-10-15
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
CRAN checks: supclust results

Downloads:

Reference manual: supclust.pdf
Package source: supclust_1.1-0.tar.gz
Windows binaries: r-devel: supclust_1.1-0.zip, r-devel-UCRT: supclust_1.1-0.zip, r-release: supclust_1.1-0.zip, r-oldrel: supclust_1.1-0.zip
macOS binaries: r-release (arm64): supclust_1.1-0.tgz, r-release (x86_64): supclust_1.1-0.tgz, r-oldrel: supclust_1.1-0.tgz
Old sources: supclust archive

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