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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 "sgs" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'sgs: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control'
version: 0.2.0
doi: 10.48550/arXiv.2305.09467
identifiers:
- type: doi
  value: 10.32614/CRAN.package.sgs
abstract: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <https://doi.org/10.48550/arXiv.2305.09467>)
  models. Linear and logistic regression models are supported, both of which can be
  fit using k-fold cross-validation. Dense and sparse input matrices are supported.
  In addition, a general adaptive three operator splitting (ATOS) implementation is
  provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <https://doi.org/10.1080/01621459.2017.1411269>)
  models are also implemented. Both gSLOPE and SGS are available with strong screening
  rules (Feser and Evangelou (2024) <https://doi.org/10.48550/arXiv.2405.15357>) for
  computational speed-up.
authors:
- family-names: Feser
  given-names: Fabio
  email: ff120@ic.ac.uk
  orcid: https://orcid.org/0009-0007-3088-9727
- family-names: Evangelou
  given-names: Marina
  orcid: https://orcid.org/0000-0003-0789-8944
preferred-citation:
  type: article
  title: 'Sparse-group SLOPE: adaptive bi-level selection with FDR-control'
  authors:
  - family-names: Feser
    given-names: Fabio
    email: ff120@ic.ac.uk
    orcid: https://orcid.org/0009-0007-3088-9727
  - family-names: Evangelou
    given-names: Marina
    orcid: https://orcid.org/0000-0003-0789-8944
  journal: arXiv
  year: '2023'
  doi: 10.48550/arXiv.2305.09467
  url: https://arxiv.org/abs/2305.09467
repository: https://CRAN.R-project.org/package=sgs
repository-code: https://github.com/ff1201/sgs
url: https://github.com/ff1201/sgs
date-released: '2024-07-12'
contact:
- family-names: Feser
  given-names: Fabio
  email: ff120@ic.ac.uk
  orcid: https://orcid.org/0009-0007-3088-9727
references:
- type: article
  title: Strong Screening Rules for Group-based SLOPE Models
  authors:
  - family-names: Feser
    given-names: Fabio
    email: ff120@ic.ac.uk
    orcid: https://orcid.org/0009-0007-3088-9727
  - family-names: Evangelou
    given-names: Marina
    orcid: https://orcid.org/0000-0003-0789-8944
  journal: arXiv
  year: '2024'
  doi: 10.48550/arXiv.2405.15357
  url: https://arxiv.org/abs/2405.15357
- type: manual
  title: sgs
  authors:
  - family-names: Feser
    given-names: Fabio
    email: ff120@ic.ac.uk
    orcid: https://orcid.org/0009-0007-3088-9727
  - family-names: Evangelou
    given-names: Marina
    orcid: https://orcid.org/0000-0003-0789-8944
  year: '2023'
  url: https://CRAN.R-project.org/package=sgs