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 |
| 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 |
| 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 |
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