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-4.7)RMSDp_0.1.1.zip(r-4.6)RMSDp_0.1.1.zip(r-4.5)
RMSDp_0.1.1.tgz(r-4.6-any)RMSDp_0.1.1.tgz(r-4.5-any)
RMSDp_0.1.1.tar.gz(r-4.7-any)RMSDp_0.1.1.tar.gz(r-4.6-any)
RMSDp_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
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 540 downloads 1 exports 4 dependencies

Last updated from:d834c733b5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK221
linux-release-x86_64OK133
macos-release-arm64OK116
macos-oldrel-arm64OK95
windows-develOK100
windows-releaseOK93
windows-oldrelOK89
wasm-releaseOK96

Exports:RMSDp

Dependencies:codetoolsdoParallelforeachiterators