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.
- Version2.1.1
- R version≥ 3.1
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release07/30/2021
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Team
Peter Filzmoser
Moritz Gschwandtner
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- Depends1 package
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