mvout
1.2Robust Multivariate Outlier Detection
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Overview
About
Detection of multivariate outliers using robust estimates of location and scale. The Minimum Covariance Determinant (MCD) estimator is used to calculate robust estimates of the mean vector and covariance matrix. Outliers are determined based on robust Mahalanobis distances using either an unstructured covariance matrix, a principal components structured covariance matrix, or a factor analysis structured covariance matrix. Includes options for specifying the direction of interest for outlier detection for each variable.
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Slowest check: 55 s · r-oldrel-windows-x86_64
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Also on95 r2u14 autocran
Dependencies
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1 external dependency (excludes base and recommended)
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R >= 3.5.0robustbase
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Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2025-05-30
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 25 KB / 1 file
- Download size
- 38 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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