RMSD: Refined Modified Stahel-Donoho Estimators for Outlier Detection

A function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86> and evaluated with other methods in Wada, Kawano & Tsubaki (2020) <doi:10.17713/ajs.v49i2.872>.

Version: 0.1.0
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-06
Author: Kazumi Wada ORCID iD [aut, cre]
Maintainer: Kazumi Wada <kazwd2008 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
CRAN checks: RMSD results


Reference manual: RMSD.pdf


Package source: RMSD_0.1.0.tar.gz
Windows binaries: r-prerel: RMSD_0.1.0.zip, r-release: RMSD_0.1.0.zip, r-oldrel: RMSD_0.1.0.zip
macOS binaries: r-prerel (arm64): RMSD_0.1.0.tgz, r-release (arm64): RMSD_0.1.0.tgz, r-oldrel (arm64): RMSD_0.1.0.tgz, r-prerel (x86_64): RMSD_0.1.0.tgz, r-release (x86_64): RMSD_0.1.0.tgz


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