# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "posterior" in publications use:'
type: software
license: BSD-3-Clause
title: 'posterior: Tools for Working with Posterior Distributions'
version: 1.6.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.posterior
- type: url
  value: https://discourse.mc-stan.org/
abstract: 'Provides useful tools for both users and developers of packages for fitting
  Bayesian models or working with output from Bayesian models. The primary goals of
  the package are to: (a) Efficiently convert between many different useful formats
  of draws (samples) from posterior or prior distributions. (b) Provide consistent
  methods for operations commonly performed on draws, for example, subsetting, binding,
  or mutating draws. (c) Provide various summaries of draws in convenient formats.
  (d) Provide lightweight implementations of state of the art posterior inference
  diagnostics. References: Vehtari et al. (2021) <https://doi.org/10.1214/20-BA1221>.'
authors:
- family-names: Bürkner
  given-names: Paul-Christian
  email: paul.buerkner@gmail.com
- family-names: Gabry
  given-names: Jonah
  email: jsg2201@columbia.edu
- family-names: Kay
  given-names: Matthew
  email: mjskay@northwestern.edu
- family-names: Vehtari
  given-names: Aki
  email: Aki.Vehtari@aalto.fi
preferred-citation:
  type: generic
  title: 'posterior: Tools for Working with Posterior Distributions'
  authors:
  - family-names: Bürkner
    given-names: Paul-Christian
    email: paul.buerkner@gmail.com
  - family-names: Gabry
    given-names: Jonah
    email: jsg2201@columbia.edu
  - family-names: Kay
    given-names: Matthew
    email: mjskay@northwestern.edu
  - family-names: Vehtari
    given-names: Aki
    email: Aki.Vehtari@aalto.fi
  year: '2025'
  notes: R package version 1.6.1
  url: https://mc-stan.org/posterior/
repository: https://r-multiverse-staging.r-universe.dev
repository-code: https://github.com/stan-dev/posterior
commit: 1e4484cbc84bb090ab0a0a46337c00e2714dc8dd
url: https://mc-stan.org/posterior/
date-released: '2025-02-27'
contact:
- family-names: Bürkner
  given-names: Paul-Christian
  email: paul.buerkner@gmail.com
references:
- type: article
  title: 'Rank-normalization, folding, and localization: An improved Rhat for assessing
    convergence of MCMC (with discussion)'
  authors:
  - family-names: Vehtari
    given-names: Aki
  - family-names: Gelman
    given-names: Andrew
  - family-names: Simpson
    given-names: Daniel
  - family-names: Carpenter
    given-names: Bob
  - family-names: Bürkner
    given-names: Paul-Christian
  journal: Bayesian Analysis
  year: '2021'
  volume: '16'
  issue: '2'
  start: 667-718
- type: article
  title: 'Nested Rhat: Assessing the convergence of Markov chain Monte Carlo when
    running many short chains'
  authors:
  - family-names: Margossian
    given-names: Charles C.
  - family-names: Hoffman
    given-names: Matthew D.
  - family-names: Sountsov
    given-names: Pavel
  - family-names: Riou-Durand
    given-names: Lionel
  - family-names: Vehtari
    given-names: Aki
  - family-names: Gelman
    given-names: Andrew
  journal: Bayesian Analysis
  year: '2024'
  doi: 10.1214/24-BA1453
- type: article
  title: 'Rstar: A robust MCMC convergence diagnostic with uncertainty using decision
    tree classifiers'
  authors:
  - family-names: Lambert
    given-names: Ben
  - family-names: Vehtari
    given-names: Aki
  journal: Bayesian Analysis
  year: '2022'
  volume: '17'
  issue: '2'
  doi: 10.1214/20-BA1252
  start: 353-379
- type: article
  title: Pareto smoothed importance sampling
  authors:
  - family-names: Vehtari
    given-names: Aki
  - family-names: Simpson
    given-names: Daniel
  - family-names: Gelman
    given-names: Andrew
  - family-names: Yao
    given-names: Yuling
  - family-names: Gabry
    given-names: Jonah
  journal: Journal of Machine Learning Research
  year: '2024'
  volume: '25'
  issue: '72'
  start: 1-58