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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 "sparselink" in publications use:'
type: software
license: MIT
title: 'sparselink: Sparse Regression for Related Problems'
version: 1.0.0
doi: 10.1093/bioinformatics/btaf406
identifiers:
- type: doi
  value: 10.32614/CRAN.package.sparselink
abstract: Estimates sparse regression models (i.e., with few non-zero coefficients)
  in high-dimensional multi-task learning and transfer learning settings, as proposed
  by Rauschenberger et al. (2025) <https://doi.org/10.1093/bioinformatics/btaf406>.
authors:
- family-names: Rauschenberger
  given-names: Armin
  email: armin.rauschenberger@lih.lu
  orcid: https://orcid.org/0000-0001-6498-4801
preferred-citation:
  type: article
  title: Estimating sparse regression models in multi-task learning and transfer learning
    through adaptive penalisation
  authors:
  - family-names: Rauschenberger
    given-names: Armin
    email: armin.rauschenberger@lih.lu
    orcid: https://orcid.org/0000-0001-6498-4801
  - family-names: Nazarov
    given-names: Petr V.
  - family-names: Glaab
    given-names: Enrico
  journal: Bioinformatics
  year: '2025'
  volume: '41'
  doi: 10.1093/bioinformatics/btaf406
  start: btaf406
repository: https://rauschenberger.r-universe.dev
repository-code: https://github.com/rauschenberger/sparselink
commit: e53222f2c946e56fe6660fa723e911f84caee0da
url: https://rauschenberger.github.io/sparselink/
date-released: '2025-07-18'
contact:
- family-names: Rauschenberger
  given-names: Armin
  email: armin.rauschenberger@lih.lu
  orcid: https://orcid.org/0000-0001-6498-4801