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-any)RMSDp_0.1.1.zip(r-4.6-any)RMSDp_0.1.1.zip(r-4.5-any)
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 353 downloads 1 exports 4 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK116
source / vignettesOK199
linux-releaseOK117
macos-releaseOK129
macos-oldrelOK111
windows-develOK84
windows-releaseOK93
windows-oldrelOK98
wasm-releaseOK78

Exports:RMSDp

Dependencies:codetoolsdoParallelforeachiterators