# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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: 1.14.0 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) . 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 orcid: https://orcid.org/0000-0002-8890-5116 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 orcid: https://orcid.org/0000-0002-8890-5116 year: '2025' notes: R package version 1.14.0 url: https://mc-stan.org/bayesplot/ repository: https://r-multiverse.r-universe.dev repository-code: https://github.com/stan-dev/bayesplot/issues/ commit: 6240b33a3d2d9afc88d925c9e91dc1f7e7413655 url: https://mc-stan.org/bayesplot/ date-released: '2025-08-31' 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