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: | 0.1.1 |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-10-20 |
| DOI: | 10.32614/CRAN.package.RMSD |
| Author: | Kazumi Wada [aut, cre] |
| Maintainer: | Kazumi Wada <kazwd2008 at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Language: | en-US |
| In views: | AnomalyDetection |
| CRAN checks: | RMSD results |
Documentation:
| Reference manual: | RMSD.html ,RMSD.pdf |
Downloads:
| Package source: | RMSD_0.1.1.tar.gz |
| Windows binaries: | r-devel:RMSD_0.1.1.zip, r-release:RMSD_0.1.1.zip, r-oldrel:RMSD_0.1.1.zip |
| macOS binaries: | r-release (arm64):RMSD_0.1.1.tgz, r-oldrel (arm64):RMSD_0.1.1.tgz, r-release (x86_64):RMSD_0.1.1.tgz, r-oldrel (x86_64):RMSD_0.1.1.tgz |
| Old sources: | RMSD archive |
Linking:
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