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mvout
View on CRAN: Click
here
Download and install mvout package within the R console
Install from CRAN:
install.packages("mvout")
Install from Github:
library("remotes")
install_github("cran/mvout") Install by package version:
library("remotes")
install_version("mvout", "1.2") Attach the package and use:
library("mvout")
Maintained by
Nathaniel E. Helwig
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-30
Latest Update: 2025-05-30
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.
How to cite:
Nathaniel E. Helwig (2025). mvout: Robust Multivariate Outlier Detection. R package version 1.2, https://cran.r-project.org/web/packages/mvout. Accessed 04 Jul. 2026.
Previous versions and publish date:
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