Thresher: Threshing and Reaping for Principal Components (original) (raw)
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 |
| DOI: | 10.32614/CRAN.package.Thresher |
| Author: | Kevin R. Coombes |
| Maintainer: | Kevin R. Coombes |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | Thresher results |
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