mvoutlier

cranv2.1.4

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 corr

License GPL (>= 3)0 versions1 maintainers2 deps406 weekly dl
https://CRAN.R-project.org/package=mvoutlier
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[email protected] is safe to use (health: 50/100)

Health breakdown0 – 100
20/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2026-02-26 08:27:15

Last updated · 2026-02-26T06:40:02+00:00

mvoutlier — Health Score 50/100 | DepScope