Convenience wrapper that uses the rmarkdown
   package to render small snippets of code to target formats that
   include both code and output.  The goal is to encourage the sharing of
   small, reproducible, and runnable examples on code-oriented websites,
   such as <https://stackoverflow.com> and <https://github.com>, or in
   email. The users clipboard is the default source of input code and
   the default target for rendered output. reprex' also extracts clean,
   runnable R code from various common formats, such as copy/paste from
   an R session.

Orbit is a general interface for Bayesian time series modeling. The goal of Orbit development team is to create a tool that is easy to use, flexible, interitibl

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) <<a href="https://doi.org/10.18637%2Fjss.v027.i03">doi:10.18637/jss.v027.i03</a>>; Carpenter et al. (2017) <<a href="https://doi.org/10.18637%2Fjss.v076.i01">doi:10.18637/jss.v076.i01</a>>.

Bayesian Vector Auto-Regressive models in Stan. Contribute to asael697/varstan development by creating an account on GitHub.