Stan Reference Manual

Version 2.36

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 evaluating the results. This manual applies to all Stan interfaces.

The first part of the reference manual provides a full specification of the Stan programming language. The language is responsible for defining a log density function conditioned on data. Typically, this is a Bayesian posterior, but it may also be a penalized likelihood function. The second part of the manual specifies the inference algorithms and posterior inference tools. The third part provides auxiliary information about the use of Stan.

Download the pdf version of this manual.

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