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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.
Getting started
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Package details |
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| Author | Peter Filzmoser <P.Filzmoser@tuwien.ac.at> and Moritz Gschwandtner <e0125439@student.tuwien.ac.at> |
| Maintainer | P. Filzmoser <P.Filzmoser@tuwien.ac.at> |
| License | GPL (>= 3) |
| Version | 2.1.1 |
| URL | http://cstat.tuwien.ac.at/filz/ |
| Package repository | View on CRAN |
| Installation |
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