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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 "brms" in publications use:'
type: software
license: GPL-2.0-only
title: 'brms: Bayesian Regression Models using ''Stan'''
version: 2.22.6
doi: 10.18637/jss.v080.i01
identifiers:
- type: doi
  value: 10.32614/CRAN.package.brms
- type: url
  value: https://paulbuerkner.com/brms/
abstract: 'Fit Bayesian generalized (non-)linear multivariate multilevel models using
  ''Stan'' for full Bayesian inference. A wide range of distributions and link functions
  are supported, allowing users to fit -- among others -- linear, robust linear, count
  data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined
  mixture models all in a multilevel context. Further modeling options include both
  theory-driven and data-driven non-linear terms, auto-correlation structures, censoring
  and truncation, meta-analytic standard errors, and quite a few more. In addition,
  all parameters of the response distribution can be predicted in order to perform
  distributional regression. Prior specifications are flexible and explicitly encourage
  users to apply prior distributions that actually reflect their prior knowledge.
  Models can easily be evaluated and compared using several methods assessing posterior
  or prior predictions. References: Bürkner (2017) <https://doi.org/10.18637/jss.v080.i01>;
  Bürkner (2018) <https://doi.org/10.32614/RJ-2018-017>; Bürkner (2021) <https://doi.org/10.18637/jss.v100.i05>;
  Carpenter et al. (2017) <https://doi.org/10.18637/jss.v076.i01>.'
authors:
- family-names: Bürkner
  given-names: Paul-Christian
  email: paul.buerkner@gmail.com
preferred-citation:
  type: article
  title: 'brms: An R Package for Bayesian Multilevel Models Using Stan'
  authors:
  - family-names: Bürkner
    given-names: Paul-Christian
    email: paul.buerkner@gmail.com
  journal: Journal of Statistical Software
  year: '2017'
  volume: '80'
  issue: '1'
  doi: 10.18637/jss.v080.i01
  start: '1'
  end: '28'
repository: https://staffanbetner.r-universe.dev
repository-code: https://github.com/paul-buerkner/brms
commit: cbd7a2612930d2e85130984d276b95ffa8ecb292
url: https://discourse.mc-stan.org/
date-released: '2024-11-14'
contact:
- family-names: Bürkner
  given-names: Paul-Christian
  email: paul.buerkner@gmail.com
references:
- type: article
  title: Advanced Bayesian Multilevel Modeling with the R Package brms
  authors:
  - family-names: Bürkner
    given-names: Paul-Christian
  journal: The R Journal
  year: '2018'
  volume: '10'
  issue: '1'
  doi: 10.32614/RJ-2018-017
  start: '395'
  end: '411'
- type: article
  title: Bayesian Item Response Modeling in R with brms and Stan
  authors:
  - family-names: Bürkner
    given-names: Paul-Christian
  journal: Journal of Statistical Software
  year: '2021'
  volume: '100'
  issue: '5'
  doi: 10.18637/jss.v100.i05
  start: '1'
  end: '54'