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Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.
| Version: | 1.1.4 |
| Depends: | R (≥ 3.1), ClassDiscovery, PCDimension |
| Imports: | methods, stats, graphics, grDevices, MASS, colorspace, movMF, ade4, oompaBase |
| Suggests: | NbClust |
| Published: | 2024-04-28 |
| 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: | Thresher results |
| Reference manual: | Thresher.pdf |
| Vignettes: |
Thresher |
| Package source: | Thresher_1.1.4.tar.gz |
| Windows binaries: | r-devel: Thresher_1.1.4.zip, r-release: Thresher_1.1.4.zip, r-oldrel: Thresher_1.1.4.zip |
| macOS binaries: | r-release (arm64): Thresher_1.1.4.tgz, r-oldrel (arm64): Thresher_1.1.4.tgz, r-release (x86_64): Thresher_1.1.4.tgz, r-oldrel (x86_64): Thresher_1.1.4.tgz |
| Old sources: | Thresher archive |
| Reverse depends: | Mercator |
| Reverse imports: | SillyPutty |
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