Thresher: Threshing and Reaping for Principal Components
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: | 1.1.5 |
| Depends: | R (≥ 4.4),ClassDiscovery,PCDimension |
| Imports: | methods, stats, graphics, grDevices,MASS,colorspace,movMF,ade4,oompaBase |
| Suggests: | NbClust |
| Published: | 2025-04-07 |
| DOI: | 10.32614/CRAN.package.Thresher |
| Author: | Kevin R. Coombes [aut, cre] |
| 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 |
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