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Jonah Gabry edited this page Jan 9, 2016
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This is the wiki for the rstanarm R package.
An appendage to the rstan package that enables some of the most common applied regression models to be estimated using Markov Chain Monte Carlo, variational approximations to the posterior distribution, or optimization. The rstanarm package allows these models to be specified using the customary R modeling syntax (e.g., like that of glm with a formula and a data.frame). Read more...
For installation instructions see the README.
To report a bug or request a feature please submit an issue.
If you are interested in contributing to the development of rstanarm please see the Contributing to development page.