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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 "bayesforecast" in publications use:'
type: software
license: GPL-2.0-only
title: 'bayesforecast: Bayesian Time Series Modeling with Stan'
version: 1.0.5
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bayesforecast
abstract: 'Fit Bayesian time series models using ''Stan'' for full Bayesian inference.
  A wide range of distributions and models are supported, allowing users to fit Seasonal
  ARIMA, ARIMAX, Dynamic Harmonic Regression, GARCH, t-student innovation GARCH models,
  asymmetric GARCH, Random Walks, stochastic volatility models for univariate time
  series. Prior specifications are flexible and explicitly encourage users to apply
  prior distributions that actually reflect their beliefs. Model fit can easily be
  assessed and compared with typical visualization methods, information criteria such
  as loglik, AIC, BIC WAIC, Bayes factor and leave-one-out cross-validation methods.
  References: Hyndman (2017) <https://doi.org/10.18637/jss.v027.i03>; Carpenter et
  al. (2017) <https://doi.org/10.18637/jss.v076.i01>.'
authors:
- family-names: Alonzo Matamoros
  given-names: Asael
  email: asael.alonzo@gmail.com
- family-names: Cruz Torres
  given-names: Cristian
  email: cristian.cruz@unah.edu.hn
preferred-citation:
  type: article
  title: 'varstan: An R Package for Bayesian time series models with Stan'
  authors:
  - family-names: Alonzo
    given-names: Izhar Asael
  - family-names: Cruz
    given-names: Cristian
  journal: ARXIV Preprint
  year: '2020'
repository: https://cran.r-universe.dev
commit: 7f7a132c96b92027a2079e64b2b8217373435c10
date-released: '2025-06-05'
contact:
- family-names: Alonzo Matamoros
  given-names: Asael
  email: asael.alonzo@gmail.com