CerioliOutlierDetection: Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)

Implements the iterated RMCD method of Cerioli (2010) for multivariate outlier detection via robust Mahalanobis distances. Also provides the finite-sample RMCD method discussed in the paper, as well as the methods provided in Hardin and Rocke (2005) <doi:10.1198/106186005X77685> and Green and Martin (2017) <https://christopherggreen.github.io/papers/hr05_extension.pdf>. See also Chapter 2 of Green (2017) <https://digital.lib.washington.edu/researchworks/handle/1773/40304>.

Version: 1.1.15
Depends: R (≥ 4.0.0)
Imports: robustbase (≥ 0.91-1)
Suggests: rrcov, mvtnorm, mclust
Published: 2024-06-23
DOI: 10.32614/CRAN.package.CerioliOutlierDetection
Author: Christopher G. Green ORCID iD [aut, cre], R. Doug Martin [ths]
Maintainer: Christopher G. Green <christopher.g.green at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://christopherggreen.github.io/CerioliOutlierDetection/
NeedsCompilation: no
Materials: README
CRAN checks: CerioliOutlierDetection results


Reference manual: CerioliOutlierDetection.pdf


Package source: CerioliOutlierDetection_1.1.15.tar.gz
Windows binaries: r-devel: CerioliOutlierDetection_1.1.15.zip, r-release: CerioliOutlierDetection_1.1.15.zip, r-oldrel: CerioliOutlierDetection_1.1.15.zip
macOS binaries: r-release (arm64): CerioliOutlierDetection_1.1.15.tgz, r-oldrel (arm64): CerioliOutlierDetection_1.1.15.tgz, r-release (x86_64): CerioliOutlierDetection_1.1.15.tgz, r-oldrel (x86_64): CerioliOutlierDetection_1.1.15.tgz
Old sources: CerioliOutlierDetection archive


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