stan_version

<p>The stan version is in form of <code>major.minor.patch</code>;  the
  first version is 1.0.0, indicating major version 1, minor version
  0 and patch level 0.  Functionality only changes with minor versions
  and backward compatibility will only be affected by major versions.</p>

rstan

User-facing R functions are provided to parse, compile, test,
estimate, and analyze Stan models by accessing the header-only Stan library
provided by the 'StanHeaders' package. 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, and (optionally penalized) maximum likelihood estimation via
optimization. In all three cases, automatic differentiation is used to quickly
and accurately evaluate gradients without burdening the user with the need to
derive the partial derivatives.

Ben Goodrich

R Interface to Stan

Jiqiang Guo

Jonah Gabry

Andrew Johnson

Sebastian Weber

Hamada S. Badr

Daniel Lee

Krzysztof Sakrejda

Modrak Martin

Trustees of Columbia University

Oleg Sklyar

The R Core Team

Jens Oehlschlaegel-Akiyoshi

John Maddock

Paul Bristow

Nikhar Agrawal

Christopher Kormanyos

Bronder Steve

stan_version function

Obtain the version of Stan — stan_version

Obtain the version of Stan

stan_version: Obtain the version of Stan

Description

Usage

Arguments

Value

References

See Also

Examples