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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=Thresher to link to this page.
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