mvoutlier
Multivariate Outlier Detection Based on Robust Methods
Various methods for multivariate outlier detection: arw, a Mahalanobis-type method with an adaptive outlier cutoff value; locout, a method incorporating local neighborhood; pcout, a method for high-dimensional data; mvoutlier.CoDa, a method for compositional data. References are provided in the corresponding help files.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.4 |
2026-04-09 windows/windows R-4.5 | mvoutlier_2.1.4.zip |
783.2 KiB |