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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 "fitdistrBayes" in publications use:'
type: software
license: GPL-3.0-only
title: 'fitdistrBayes: Objective Bayesian Distribution Fitting'
version: 0.5.1
doi: 10.32614/CRAN.package.fitdistrBayes
abstract: Fits common univariate distributions using registered objective Bayesian
  priors, including Jeffreys, reference, and maximal data information priors, and
  supports user-defined distributions and priors through an extensible model specification.
  Model-specific posterior propriety and moment conditions are checked before computation
  when registered or supplied. Exact simulation, marginalization, slice sampling,
  adaptive Metropolis, and user-supplied posterior samplers share a common interface
  for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation.
  A separate interface fits independently right-censored observations using the registered
  complete-data priors, observed-data likelihood sampling or data augmentation, with
  sufficient posterior-propriety checks. Optional post-processing provides WAIC, PSIS-LOO,
  and DIC for observed-data likelihoods. The reference-prior framework follows Bernardo
  (1979) <https://doi.org/10.1111/j.2517-6161.1979.tb01066.x>.
authors:
- family-names: Ramos
  given-names: Pedro Luiz
  email: pedro.ramos@uc.cl
repository: https://ramospedroluiz.r-universe.dev
commit: 70d056d1c1997151e0c5f155dfe31cf2b31b73ac
date-released: '2026-09-29'
contact:
- family-names: Ramos
  given-names: Pedro Luiz
  email: pedro.ramos@uc.cl