Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.
| Version: | 3.3.13 |
| Depends: | R (≥ 3.0), cluster, oompaBase (≥ 3.0.1) |
| Imports: | methods, stats, graphics, grDevices, mclust, oompaData, Biobase |
| Suggests: | xtable |
| Published: | 2020-11-11 |
| Author: | Kevin R. Coombes |
| Maintainer: | Kevin R. Coombes <krc at silicovore.com> |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ClassDiscovery results |
| Reference manual: | ClassDiscovery.pdf |
| Vignettes: |
OOMPA Mahalanobis Distance OOMPA ClassDiscovery |
| Package source: | ClassDiscovery_3.3.13.tar.gz |
| Windows binaries: | r-devel: ClassDiscovery_3.3.13.zip, r-release: ClassDiscovery_3.3.13.zip, r-oldrel: ClassDiscovery_3.3.13.zip |
| macOS binaries: | r-release: ClassDiscovery_3.3.13.tgz, r-oldrel: ClassDiscovery_3.3.13.tgz |
| Old sources: | ClassDiscovery archive |
| Reverse depends: | Modeler, PCDimension, Thresher |
| Reverse imports: | GenAlgo, Mercator |
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