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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 "ShrinkCovMat" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'ShrinkCovMat: Shrinkage Covariance Matrix Estimators'
version: 2.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ShrinkCovMat
abstract: Provides nonparametric Steinian shrinkage estimators of the covariance matrix
  that are suitable in high dimensional settings, that is when the number of variables
  is larger than the sample size.
authors:
- family-names: Touloumis
  given-names: Anestis
  email: A.Touloumis@brighton.ac.uk
  orcid: https://orcid.org/0000-0002-5965-1639
preferred-citation:
  type: article
  title: Nonparametric Stein-type Shrinkage Covariance Matrix Estimators in High-Dimensional
    Settings
  authors:
  - name: Touloumis A.
  year: '2015'
  journal: Computational Statistics & Data Analysis
  volume: '83'
  url: https://www.sciencedirect.com/science/article/pii/S0167947314003107
  start: 251-261
repository: https://anestistouloumis.r-universe.dev
repository-code: https://github.com/AnestisTouloumis/ShrinkCovMat
commit: 7941b4c65493ea01fdf6f355a231bbdb64a88943
url: https://github.com/AnestisTouloumis/ShrinkCovMat
contact:
- family-names: Touloumis
  given-names: Anestis
  email: A.Touloumis@brighton.ac.uk
  orcid: https://orcid.org/0000-0002-5965-1639