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

Documentation:

Reference manual:	Thresher.html , Thresher.pdf
Vignettes:	Thresher (source, R code)

Downloads:

Package source:	Thresher_1.1.5.tar.gz
Windows binaries:	r-devel: Thresher_1.1.5.zip, r-release: Thresher_1.1.5.zip, r-oldrel: Thresher_1.1.5.zip
macOS binaries:	r-release (arm64): Thresher_1.1.5.tgz, r-oldrel (arm64): Thresher_1.1.5.tgz, r-release (x86_64): Thresher_1.1.5.tgz, r-oldrel (x86_64): Thresher_1.1.5.tgz
Old sources:	Thresher archive

Reverse dependencies:

Reverse depends:	Mercator
Reverse imports:	bootkmeans, FuzzySpec, SillyPutty

Linking:

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