stanmodel-class

get_cppcode

get_cxxflags

get_cppcode,stanmodel-method

get_cxxflags,stanmodel-method

show,stanmodel-method

A <code>stanmodel</code> object represents the model compiled from C++ code. 
  The <code>sampling</code> method defined in this class may be used to 
  draw samples from the model and <code>optimizing</code> method is for
  obtaining a point estimate by maximizing the log-posterior.

classes

User-facing R functions are provided by this package 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

rstan

R Interface to Stan

stanmodel-class function

Instances of <code>stanmodel</code> are usually created by calling function <code>stan_model</code> or function <code>stan</code>.

Objects from the Class

Class representing model compiled from C++

stanmodel-class: Class representing model compiled from C++

Description

Arguments

Objects from the Class

See Also

Examples