# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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: 1.4.0 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 preferred-citation: type: article title: Nonparametric Stein-type Shrinkage Covariance Matrix Estimators in High-Dimensional Settings authors: - name: Anestis Touloumis year: '2015' journal: Computational Statistics & Data Analysis volume: '83' start: '251' end: '261' repository: https://CRAN.R-project.org/package=ShrinkCovMat repository-code: http://github.com/AnestisTouloumis/ShrinkCovMat url: http://github.com/AnestisTouloumis/ShrinkCovMat date-released: '2019-07-30' contact: - family-names: Touloumis given-names: Anestis email: A.Touloumis@brighton.ac.uk