# --------------------------------------------
# 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 "bayesian" in publications use:'
type: software
license: MIT
title: 'bayesian: Bindings for Bayesian TidyModels'
version: 1.0.1
doi: 10.5281/zenodo.4426836
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bayesian
abstract: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via
  'bayesian' <https://doi.org/10.5281/zenodo.4426836>. 'tidymodels' is a collection
  of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>).
  The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <https://doi.org/10.18637/jss.v080.i01>,
  Bürkner (2018) <https://doi.org/10.32614/RJ-2018-017>, and Carpenter et al. (2017)
  <https://doi.org/10.18637/jss.v076.i01>.
authors:
- family-names: Badr
  given-names: Hamada S.
  email: badr@jhu.edu
  orcid: https://orcid.org/0000-0002-9808-2344
- family-names: Bürkner
  given-names: Paul-Christian
  email: paul.buerkner@gmail.com
preferred-citation:
  type: manual
  title: 'bayesian: Bindings for Bayesian TidyModels'
  authors:
  - family-names: Badr
    given-names: Hamada S.
    email: badr@jhu.edu
    orcid: https://orcid.org/0000-0002-9808-2344
  - family-names: Bürkner
    given-names: Paul C.
    email: paul.buerkner@gmail.com
  year: '2024'
  journal: Comprehensive R Archive Network (CRAN)
  url: https://hsbadr.github.io/bayesian/
  doi: 10.5281/zenodo.4426836
repository: https://hsbadr.r-universe.dev
repository-code: https://github.com/hsbadr/bayesian
commit: 8178e590363f547e777f8f0f1336ade1fe16dabe
url: https://hsbadr.github.io/bayesian/
contact:
- family-names: Badr
  given-names: Hamada S.
  email: badr@jhu.edu
  orcid: https://orcid.org/0000-0002-9808-2344