Package: bayesforecast
Title: Bayesian Time Series Modeling with Stan
Version: 1.0.5
Authors@R: c(person("Asael","Alonzo Matamoros", role = c("aut", "cre"),email = "asael.alonzo@gmail.com"),
     person("Cristian","Cruz Torres", role = 'aut', email = "cristian.cruz@unah.edu.hn"),
     person("Andres", "Dala", role = "ctb",email = "andresht6@hotmail.com"),
     person("Rob", "Hyndman", email="Rob.Hyndman@monash.edu", role = "ctb"),
     person("Mitchell", "O'Hara-Wild", role = "ctb")
    )
Description: 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)
    <doi:10.18637/jss.v027.i03>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Biarch: true
Depends: R (>= 4.0.0)
Imports: bayesplot (>= 1.5.0), bridgesampling (>= 0.3-0), forecast,
        ggplot2, gridExtra, loo (>= 2.1.0), lubridate, MASS, methods,
        prophet, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
        2.32.0), rstantools (>= 2.4.0), zoo
Suggests: knitr, rmarkdown, ggfortify, StanHeaders
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.32.0), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
Collate: 'autoplot.R' 'auto_sarima.R' 'bayes_factor.R'
        'bayesforecast-package.R' 'Birth.R' 'Fit.R' 'forecast.R'
        'garch.R' 'get_params.R' 'log_lik.R' 'Misc.R' 'model.R'
        'naive.R' 'posterior_intervals.R' 'posterior_predict.R' 'ets.R'
        'predictive_error.R' 'print.R' 'prior.R' 'report.R' 'Sarima.R'
        'summary.R' 'ssm.R' 'stanmodels.R' 'SVM.R' 'varstan.R'
        'stan_models.R'
NeedsCompilation: yes
Packaged: 2025-06-05 08:10:58 UTC; asael_am
Author: Asael Alonzo Matamoros [aut, cre],
  Cristian Cruz Torres [aut],
  Andres Dala [ctb],
  Rob Hyndman [ctb],
  Mitchell O'Hara-Wild [ctb]
Maintainer: Asael Alonzo Matamoros <asael.alonzo@gmail.com>
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2025-06-05 08:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-03-28 02:22:55 UTC; unix
Archs: bayesforecast.so.dSYM
