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: 1.1.4
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 <krc at>
License: Apache License (== 2.0)
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:, r-release:, r-oldrel:
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 dependencies:

Reverse depends: Mercator
Reverse imports: SillyPutty


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