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
Roxygen: list(markdown = 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: 2026-07-04 22:08:20 UTC; root
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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://asael697.r-universe.dev
Date/Publication: 2025-06-05 08:11:30 UTC
RemoteUrl: https://github.com/asael697/bayesforecast
RemoteRef: HEAD
RemoteSha: 7115a545c94932014b38a40f90c42b5437c14daa