Bayesian applied regression modeling via Stan

RStanArm allows users to specify models via the customary R commands, where

• models are specified with formula syntax,

• data is provided as a data frame, and

• additional arguments are available to specify priors.

Estimation may be carried out with Markov chain Monte Carlo, variational inference, or optimization (Laplace approximation). Graphical posterior predictive checking, leave-one-out cross-validation, and posterior visualization are tightly integrated.

Website

Visit mc-stan.org/rstanarm for vignettes/tutorials, function documentation, and other information about the package.

Download and Get Started

Instructions for downloading, installing, and getting started with RStanArm on all platforms.

• RStanArm (CRAN)

Documentation

RStanArm’s reference manual and vignettes are also available from CRAN.

• RStanArm Documentation and Vignettes (CRAN)

Source Code and Issue Tracker

RStanArm’s source code and issue tracker are hosted by GitHub.

• stan-dev/rstanarm (GitHub)

License

RStan is open-source licensed under the

• GNU Public License, version 3 (Gnu).