adamethods: Archetypoid Algorithms and Anomaly Detection

Collection of several algorithms to obtain archetypoids with small and large databases, and with both classical multivariate data and functional data (univariate and multivariate). Some of these algorithms also allow to detect anomalies (outliers). Please see Vinue and Epifanio (2020) <doi:10.1007/s11634-020-00412-9>.

Version:	1.2.1
Depends:	R (≥ 3.4.0)
Imports:	Anthropometry, archetypes, FNN, foreach, graphics, nnls, parallel, stats, tolerance, univOutl, utils
Suggests:	doParallel, fda
Published:	2020-08-04
DOI:	10.32614/CRAN.package.adamethods
Author:	Guillermo Vinue, Irene Epifanio
Maintainer:	Guillermo Vinue <Guillermo.Vinue at uv.es>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://www.r-project.org
NeedsCompilation:	no
Materials:	NEWS
In views:	AnomalyDetection
CRAN checks:	adamethods results

Documentation:

Reference manual:

adamethods.html , adamethods.pdf

Downloads:

Package source:	adamethods_1.2.1.tar.gz
Windows binaries:	r-devel: adamethods_1.2.1.zip, r-release: adamethods_1.2.1.zip, r-oldrel: adamethods_1.2.1.zip
macOS binaries:	r-release (arm64): adamethods_1.2.1.tgz, r-oldrel (arm64): adamethods_1.2.1.tgz, r-release (x86_64): adamethods_1.2.1.tgz, r-oldrel (x86_64): adamethods_1.2.1.tgz
Old sources:	adamethods archive

Linking:

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