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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 "sglasso" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'sglasso: Lasso Method for RCON(V,E) Models'
version: 1.2.6
identifiers:
- type: doi
  value: 10.32614/CRAN.package.sglasso
abstract: RCON(V, E) models are a kind of restriction of the Gaussian Graphical Models
  defined by a set of equality constraints on the entries of the concentration matrix.
  'sglasso' package implements the structured graphical lasso (sglasso) estimator
  proposed in Abbruzzo et al. (2014) for the weighted l1-penalized RCON(V, E) model.
  Two cyclic coordinate algorithms are implemented to compute the sglasso estimator,
  i.e. a cyclic coordinate minimization (CCM) and a cyclic coordinate descent (CCD)
  algorithm.
authors:
- family-names: Augugliaro
  given-names: Luigi
  email: luigi.augugliaro@unipa.it
preferred-citation:
  type: manual
  title: 'sglasso: Lasso Method for RCON(V,E) Models'
  authors:
  - family-names: Augugliaro
    given-names: Luigi
    email: luigi.augugliaro@unipa.it
  year: '2023'
  notes: R package version 1.2.6
  url: https://CRAN.R-project.org/package=sglasso
repository: https://CRAN.R-project.org/package=sglasso
url: http://www.unipa.it/persone/docenti/a/luigi.augugliaro
date-released: '2023-12-03'
contact:
- family-names: Augugliaro
  given-names: Luigi
  email: luigi.augugliaro@unipa.it