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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 "penalized" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'penalized: L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
  in GLMs and in the Cox Model'
version: 0.9-52
identifiers:
- type: doi
  value: 10.32614/CRAN.package.penalized
abstract: Fitting possibly high dimensional penalized regression models. The penalty
  structure can be any combination of an L1 penalty (lasso and fused lasso), an L2
  penalty (ridge) and a positivity constraint on the regression coefficients. The
  supported regression models are linear, logistic and Poisson regression and the
  Cox Proportional Hazards model. Cross-validation routines allow optimization of
  the tuning parameters.
authors:
- family-names: Goeman
  given-names: Jelle
  email: j.j.goeman@lumc.nl
- family-names: Meijer
  given-names: Rosa
- family-names: Chaturvedi
  given-names: Nimisha
- family-names: Lueder
  given-names: Matthew
preferred-citation:
  type: manual
  title: 'Penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation
    in GLMs and in the Cox model'
  authors:
  - family-names: Goeman
    given-names: J. J.
  - family-names: Meijer
    given-names: R. J.
  - family-names: Chaturvedi
    given-names: N.
  year: '2022'
  notes: R package version 0.9-52
repository: https://blaserlab.r-universe.dev
commit: 054894f8cf772d1040f31ad0c17acb7e6658b023
date-released: '2022-04-23'
contact:
- family-names: Goeman
  given-names: Jelle
  email: j.j.goeman@lumc.nl
references:
- type: article
  title: L1 penalized estimation in the Cox proportional hazards model
  authors:
  - family-names: Goeman
    given-names: J. J.
  journal: Biometrical Journal
  issue: '52'
  year: '2010'
  start: '-14'