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Welcome to the rstanarm Wiki.

Installation

For installation instructions see the README.

About rstanarm

• Description

  rstanarm estimates pre-compiled regression models using the rstan package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors. Continue reading...

• Estimation algorithms

  The modeling functions in the rstanarm package take an algorithm argument that can be one sampling (Markov Chain Monte Carlo), meanfield (Mean-field variational inference), fullrank (Full-rank variational inference), or optimizing (LBGFS optimization). Continue reading...

• Modeling functions

  Overview of modeling functions

• Prior distributions

  Overview of prior distributions

Report bugs or request features

To report a bug or request a feature please submit an issue.

Contributing

If you are interested in contributing to the development of rstanarm please see the Contributing page.