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:
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')) |
Bug tracker:https://github.com/kazwd2008/rmsdp/issues
- wine - Wine dataset in UCI Machine Learning Repository
Last updated 6 months agofrom:d834c733b5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:RMSDp
Dependencies:codetoolsdoParallelforeachiterators