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
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 591 downloads 1 exports 4 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK141
source / vignettesOK137
linux-release-x86_64OK132
macos-release-arm64OK134
macos-oldrel-arm64OK129
windows-develOK94
windows-releaseOK115
windows-oldrelOK153
wasm-releaseOK93

Exports:RMSDp

Dependencies:codetoolsdoParallelforeachiterators