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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 "bayesplot" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'bayesplot: Plotting for Bayesian Models'
version: 1.11.1.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bayesplot
abstract: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior
  predictive checks, and other visualizations to support the applied Bayesian workflow
  advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <https://doi.org/10.1111/rssa.12378>.
  The package is designed not only to provide convenient functionality for users,
  but also a common set of functions that can be easily used by developers working
  on a variety of R packages for Bayesian modeling, particularly (but not exclusively)
  packages interfacing with 'Stan'.
authors:
- family-names: Gabry
  given-names: Jonah
  email: jsg2201@columbia.edu
- family-names: Mahr
  given-names: Tristan
preferred-citation:
  type: generic
  title: 'bayesplot: Plotting for Bayesian Models'
  authors:
  - family-names: Gabry
    given-names: Jonah
    email: jsg2201@columbia.edu
  - family-names: Mahr
    given-names: Tristan
  year: '2024'
  notes: R package version 1.11.1.9000
  url: https://mc-stan.org/bayesplot/
repository: https://stan-dev.r-universe.dev
repository-code: https://github.com/stan-dev/bayesplot/issues/
commit: ce4f5d1a4f6ba75298af9bbc41b6136d5319f85c
url: https://mc-stan.org/bayesplot/
date-released: '2024-02-14'
contact:
- family-names: Gabry
  given-names: Jonah
  email: jsg2201@columbia.edu
references:
- type: article
  title: Visualization in Bayesian workflow
  authors:
  - family-names: Gabry
    given-names: Jonah
  - family-names: Simpson
    given-names: Daniel
  - family-names: Vehtari
    given-names: Aki
  - family-names: Betancourt
    given-names: Michael
  - family-names: Gelman
    given-names: Andrew
  year: '2019'
  journal: J. R. Stat. Soc. A
  volume: '182'
  issue: '2'
  doi: 10.1111/rssa.12378
  start: 389-402