Package: mvout
Type: Package
Title: Robust Multivariate Outlier Detection
Version: 1.2
Date: 2025-05-28
Authors@R: c(person(c("Jesus", "E."), "Delgado", email = "delga220@umn.edu", role = "aut"),
	     person(c("Jed", "T."), "Elison", email = "jtelison@umn.edu", role = "ctb"),
	     person(c("Nathaniel", "E."), "Helwig", email = "helwig@umn.edu", role = c("aut", "cre")))
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0), robustbase
NeedsCompilation: no
Packaged: 2026-09-27 08:44:38 UTC; root
Author: Jesus E. Delgado [aut], Jed T. Elison [ctb], Nathaniel E.
        Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-05-30 09:20:05 UTC
RemoteUrl: https://github.com/cran/mvout
RemoteRef: HEAD
RemoteSha: 1a5ff126ccd6d413f6e8c3382d34703b9bd871c6
