RMSD
0.1.1Refined Modified Stahel-Donoho Estimators for Outlier Detection
Overview
A function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) doi:10.1109/CLOUDCOM-ASIA.2013.86 and evaluated with other methods in Wada, Kawano & Tsubaki (2020) doi:10.17713/ajs.v49i2.872.
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
- 100%
- References docs
- 0%
Downloads
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Code & Tests
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
- 0.1.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.02023-11-06
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-11-06
- Total releases
- 2 / 3 yrs
- License
- GPL (>= 3) OSI
- Download size
- 4.3 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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