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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 "JointAI" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'JointAI: Joint Analysis and Imputation of Incomplete Data'
version: 1.0.5.9000
doi: 10.18637/jss.v100.i20
identifiers:
- type: doi
  value: 10.32614/CRAN.package.JointAI
abstract: Joint analysis and imputation of incomplete data in the Bayesian framework,
  using (generalized) linear (mixed) models and extensions there of, survival models,
  or joint models for longitudinal and survival data, as described in Erler, Rizopoulos
  and Lesaffre (2021) <https://doi.org/10.18637/jss.v100.i20>. Incomplete covariates,
  if present, are automatically imputed. The package performs some preprocessing of
  the data and creates a 'JAGS' model, which will then automatically be passed to
  'JAGS' <https://mcmc-jags.sourceforge.io/> with the help of the package 'rjags'.
authors:
- family-names: Erler
  given-names: Nicole S.
  email: n.erler@erasmusmc.nl
  orcid: https://orcid.org/0000-0002-9370-6832
preferred-citation:
  type: article
  title: 'JointAI: Joint Analysis and Imputation of Incomplete Data in R'
  authors:
  - family-names: Erler
    given-names: Nicole S.
    email: n.erler@erasmusmc.nl
    orcid: https://orcid.org/0000-0002-9370-6832
  - family-names: Rizopoulos
    given-names: Dimitris
  - family-names: Lesaffre
    given-names: Emmanuel M. E. H.
  journal: Journal of Statistical Software
  year: '2021'
  volume: '100'
  issue: '20'
  doi: 10.18637/jss.v100.i20
  start: '1'
  end: '56'
repository: https://nerler.r-universe.dev
repository-code: https://github.com/nerler/JointAI/issues/
commit: 53e2336dfd75154ec93e4ad60ec1550456786040
url: https://nerler.github.io/JointAI/
contact:
- family-names: Erler
  given-names: Nicole S.
  email: n.erler@erasmusmc.nl
  orcid: https://orcid.org/0000-0002-9370-6832