RMSDp
0.1.1Refined Modified Stahel-Donoho (MSD) Estimators for Outlier Detection (Parallel Version)
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- not tracked
- Documented parameters
- 100%
- Return-value docs
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- References docs
- 0%
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Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.1Latest
- unarchivedReturned to CRAN2024-06-12
- archivedRemoved from CRAN2024-06-04issues were not corrected in time
- RR 4.4.0 released · 2024-04-24
- 0.1.02023-11-16
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-11-16
- Total releases
- 2 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 4.0 KB / 1 file
- Download size
- 11 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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