A Stan is Born

August 30, 2012

(This article was first published on Statistical Modeling, Causal Inference, and Social Science » R, and kindly contributed to R-bloggers)

Stan 1.0.0 and RStan 1.0.0

It’s official. The Stan Development Team is happy to announce the first stable versions of Stan and RStan.

What is (R)Stan?

Stan is an open-source package for obtaining Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. It’s sort of like BUGS, but with a different language for expressing models and a different sampler for sampling from their posteriors.

RStan is the R interface to Stan.

Stan Home Page

Stan’s home page is: http://mc-stan.org/

It links everything you need to get started running Stan from the command line, from R, or from C++, including full step-by-step install instructions, a detailed user’s guide and reference manual for the modeling language, and tested ports of most of the BUGS examples.

Peruse the Manual

If you’d like to learn more, the Stan User’s Guide and Reference Manual is the place to start.

The post A Stan is Born appeared first on Statistical Modeling, Causal Inference, and Social Science.

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