RMSDp: Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version)

A parallel function for multivariate outlier detection named modified Stahel-Donoho estimators is contained in this package. The function RMSDp() is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. This function is for higher dimensional datasets that cannot be handled by a single core function RMSD() included in 'RMSD' package. See Wada and Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> for the detail of the algorithm.

Version: 0.1.1
Depends: R (≥ 2.10), stats
Imports: parallel, doParallel, foreach
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-12
DOI: 10.32614/CRAN.package.RMSDp
Author: Kazumi Wada ORCID iD [aut, cre]
Maintainer: Kazumi Wada <kazwd2008 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: RMSDp results


Reference manual: RMSDp.pdf


Package source: RMSDp_0.1.1.tar.gz
Windows binaries: r-devel: RMSDp_0.1.1.zip, r-release: RMSDp_0.1.1.zip, r-oldrel: RMSDp_0.1.1.zip
macOS binaries: r-release (arm64): RMSDp_0.1.1.tgz, r-oldrel (arm64): RMSDp_0.1.1.tgz, r-release (x86_64): RMSDp_0.1.1.tgz, r-oldrel (x86_64): RMSDp_0.1.1.tgz
Old sources: RMSDp archive


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