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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "mvout" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'mvout: Robust Multivariate Outlier Detection'
version: '1.2'
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mvout
abstract: 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.
authors:
- family-names: Delgado
  given-names: Jesus E.
  email: delga220@umn.edu
- family-names: Helwig
  given-names: Nathaniel E.
  email: helwig@umn.edu
preferred-citation:
  type: manual
  title: 'mvout: Robust Multivariate Outlier Detection'
  authors:
  - family-names: Delgado
    given-names: Jesus E.
    email: delga220@umn.edu
  - family-names: Helwig
    given-names: Nathaniel E.
    email: helwig@umn.edu
  year: '2025'
  notes: R package version 1.2
repository: https://cran.r-universe.dev
commit: 1a5ff126ccd6d413f6e8c3382d34703b9bd871c6
date-released: '2025-05-28'
contact:
- family-names: Helwig
  given-names: Nathaniel E.
  email: helwig@umn.edu
references:
- type: article
  title: Robust detection of signed outliers in multivariate data with applications
    to early identification of risk for autism
  authors:
  - family-names: Delgado
    given-names: Jesus E.
  - family-names: Elison
    given-names: Jed T.
  - family-names: Helwig
    given-names: Nathaniel E.
  journal: Psychological Methods
  year: '2025'
  volume: accepted