Package: RMSDp 0.1.1

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.

Authors:Kazumi Wada [aut, cre]

RMSDp_0.1.1.tar.gz
RMSDp_0.1.1.zip(r-4.5)RMSDp_0.1.1.zip(r-4.4)RMSDp_0.1.1.zip(r-4.3)
RMSDp_0.1.1.tgz(r-4.5-any)RMSDp_0.1.1.tgz(r-4.4-any)RMSDp_0.1.1.tgz(r-4.3-any)
RMSDp_0.1.1.tar.gz(r-4.5-noble)RMSDp_0.1.1.tar.gz(r-4.4-noble)
RMSDp_0.1.1.tgz(r-4.4-emscripten)RMSDp_0.1.1.tgz(r-4.3-emscripten)
RMSDp.pdf |RMSDp.html
RMSDp/json (API)

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

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

Datasets:
  • wine - Wine dataset in UCI Machine Learning Repository

On CRAN:

Conda:

2.70 score 571 downloads 1 exports 4 dependencies

Last updated 10 months agofrom:d834c733b5. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:RMSDp

Dependencies:codetoolsdoParallelforeachiterators