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# CITATION.cff 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 "prova" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'prova: Nonparametric Probabilistic-Statistical Variate Analysis with Automated
  Markov-Chain Monte Carlo'
version: 1.0.0
doi: 10.32614/CRAN.package.prova
abstract: Calculate posterior joint and conditional probabilities, probability distributions
  of population frequencies, and information-theoretic measures, by means of Bayesian
  nonparametric methods. Data imputation is automatic and done in a principled way.
  Markov-chain Monte Carlo calculations are automatically handled and do not require
  user supervision. Applications range from statistical estimation and probabilistic
  hypothesis testing to evidence-based inference and decision making, in a wide range
  of disciplines from astrophysics to medicine. For more details and examples see
  for instance Porta Mana et al. (2026) <https://doi.org/10.31219/osf.io/8nr56>, Dunson
  & Bhattacharya (2011) <https://doi.org/10.1093/acprof:oso/9780199694587.003.0005>,
  Lindley & Novick (1981) <https://doi.org/10.1214/aos/1176345331>, Bernardo & Smith
  (2000) <https://doi.org/10.1002/9780470316870>, Müller et al. (2015) <https://doi.org/10.1007/978-3-319-18968-0>.
  Requires the packages 'Nimble', 'parallel', 'extraDistr'.
authors:
- family-names: Porta Mana
  given-names: PierGianLuca
  email: pgl@portamana.org
  orcid: https://orcid.org/0000-0002-6070-0784
repository: https://pglpm.r-universe.dev
repository-code: https://github.com/pglpm/prova/
commit: 93c004c9386a1b02a3efa44f29acb5dc6e7cd1bd
url: https://pglpm.github.io/prova/
date-released: '2026-07-02'
contact:
- family-names: Porta Mana
  given-names: PierGianLuca
  email: pgl@portamana.org
  orcid: https://orcid.org/0000-0002-6070-0784