It contains links to the official Stan releases, source code, installation instructions, and full documentation, including the latest version of this manual, the user’s guide and the getting started …

The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, …

“Stanislaw Ulam, namesake of Stan and co-inventor Monte Carlo methods shown here holding the Fermiac, Enrico Fermi’s physical Monte Carlo simulator for neutron diffusion.” (image from the Stan …

This is the official reference manual for Stan’s programming language for coding probability models, inference algorithms for fitting models and making predictions, and posterior analysis tools for …

In this section, we describe all the steps by which we would use Stan to fit the hierarchical normal model to the educational testing experiments in Section 5.5. These steps include writing the model in Stan …

Overview This is the official user’s guide for Stan. It provides example models and program-ming techniques for coding statistical models in Stan.

The next section provides an overview of how Stan works by way of an extended example, after which the details of Stan's programming language and inference mechanisms are provided.