supclust: Supervised Clustering of Predictor Variables Such as Genes (original) (raw)
Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.
| Version: | 1.1-1 |
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| Imports: | graphics, stats, rpart, class |
| Published: | 2021-09-27 |
| DOI: | 10.32614/CRAN.package.supclust |
| Author: | Marcel Dettling and Martin Maechler |
| Maintainer: | Martin Maechler |
| License: | GPL-3 |
| URL: | https://github.com/mmaechler/supclust |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Omics |
| CRAN checks: | supclust results |
Documentation:
| Reference manual: | supclust.pdf |
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Downloads:
| Package source: | supclust_1.1-1.tar.gz |
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| 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 |
Linking:
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