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-4.4-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'))

Peer review:

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

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

On CRAN:

3.30 score 470 downloads 1 exports 4 dependencies

Last updated 5 months agofrom:d834c733b5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:RMSDp

Dependencies:codetoolsdoParallelforeachiterators