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# CITATION.cff 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 "vennLasso" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'vennLasso: Variable Selection for Heterogeneous Populations'
version: 0.1.6
doi: 10.1111/biom.12769
abstract: Provides variable selection and estimation routines for models with main
  effects stratified on multiple binary factors. The 'vennLasso' package is an implementation
  of the method introduced in Huling, et al. (2017) <https://doi.org/10.1111/biom.12769>.
authors:
- family-names: Huling
  given-names: Jared
  email: jaredhuling@gmail.com
  orcid: https://orcid.org/0000-0003-0670-4845
preferred-citation:
  type: article
  title: Risk prediction for heterogeneous populations with application to hospital
    admission prediction
  authors:
  - family-names: Huling
    given-names: Jared
    email: jaredhuling@gmail.com
    orcid: https://orcid.org/0000-0003-0670-4845
  - family-names: Yu
    given-names: Menggang
  - family-names: Liang
    given-names: Muxian
  - family-names: Smith
    given-names: Maureen
  journal: Biometrics
  year: '2018'
  volume: '75'
  issue: '2'
  doi: 10.1111/biom.12769
  url: https://doi.org/10.1111/biom.12769
  start: 557-565
repository: https://cran.r-universe.dev
repository-code: https://github.com/jaredhuling/vennLasso
commit: cfc4a114a4ebb07f1a416c72115b90f25379fda2
url: https://github.com/jaredhuling/vennLasso
date-released: '2020-06-03'
contact:
- family-names: Huling
  given-names: Jared
  email: jaredhuling@gmail.com
  orcid: https://orcid.org/0000-0003-0670-4845