Package: RMSD 0.1.0

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>.

Authors:Kazumi Wada [aut, cre]

RMSD_0.1.0.tar.gz
RMSD_0.1.0.zip(r-4.5)RMSD_0.1.0.zip(r-4.4)RMSD_0.1.0.zip(r-4.3)
RMSD_0.1.0.tgz(r-4.5-any)RMSD_0.1.0.tgz(r-4.4-any)RMSD_0.1.0.tgz(r-4.3-any)
RMSD_0.1.0.tar.gz(r-4.5-noble)RMSD_0.1.0.tar.gz(r-4.4-noble)
RMSD_0.1.0.tgz(r-4.4-emscripten)RMSD_0.1.0.tgz(r-4.3-emscripten)
RMSD.pdf |RMSD.html✨
RMSD/json (API)

# Install 'RMSD' in R:
install.packages('RMSD', repos = c('https://kazwd2008.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kazwd2008/rmsd/issues

On CRAN:

2.70 score 1 scripts 146 downloads 1 exports 0 dependencies

Last updated 1 years agofrom:8ab5b84413. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 02 2025
R-4.5-winOKFeb 02 2025
R-4.5-macOKFeb 02 2025
R-4.5-linuxOKFeb 02 2025
R-4.4-winOKFeb 02 2025
R-4.4-macOKFeb 02 2025
R-4.3-winOKFeb 02 2025
R-4.3-macOKFeb 02 2025

Exports:RMSD

Dependencies: