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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 "easy.glmnet" in publications use:'
type: software
license: GPL-3.0-only
title: 'easy.glmnet: Functions to Simplify the Use of ''glmnet'' for Machine Learning'
version: '1.0'
doi: 10.32614/CRAN.package.easy.glmnet
abstract: 'Provides several functions to simplify using the ''glmnet'' package: converting
  data frames into matrices ready for ''glmnet''; b) imputing missing variables multiple
  times; c) fitting and applying prediction models straightforwardly; d) assigning
  observations to folds in a balanced way; e) cross-validate the models; f) selecting
  the most representative model across imputations and folds; and g) getting the relevance
  of the model regressors; as described in several publications: Solanes et al. (2022)
  <https://doi.org/10.1038/s41537-022-00309-w>, Palau et al. (2023) <https://doi.org/10.1016/j.rpsm.2023.01.001>,
  Sobregrau et al. (2024) <https://doi.org/10.1016/j.jpsychores.2024.111656>.'
authors:
- family-names: Radua
  given-names: Joaquim
  email: quimradua@gmail.com
  orcid: https://orcid.org/0000-0003-1240-5438
repository: https://jrad1.r-universe.dev
commit: bd462a6888df8c928850ef4e4158bda8b3ce8439
date-released: '2024-09-06'
contact:
- family-names: Radua
  given-names: Joaquim
  email: quimradua@gmail.com
  orcid: https://orcid.org/0000-0003-1240-5438