As.mcmc.list

Create an <code>mcmc.list</code> (coda) 
 from a <code>stanfit</code> object.

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

rstan

R Interface to Stan

Jiqiang Guo

Jonah Gabry

Andrew Johnson

Sebastian Weber

Daniel Lee

Krzysztof Sakrejda

Modrak Martin

Hamada S. Badr

Trustees of Columbia University

Oleg Sklyar

The R Core Team

Jens Oehlschlaegel-Akiyoshi

John Maddock

Paul Bristow

Nikhar Agrawal

Christopher Kormanyos

Bronder Steve

As.mcmc.list function

<dl> <dt>object</dt>
<dd>object of class <code>"stanfit"</code></dd> <dt>pars</dt>
<dd>optional character vector of parameters to include</dd> <dt>include</dt>
<dd>logical scalar indicating whether to include (the default) or 
 exclude the parameters named in <code>pars</code></dd> <dt>...</dt>
<dd>unused</dd></dl>

Arguments

Create an mcmc.list from a stanfit object — As.mcmc.list

<dl>

 <dt>object</dt>
<dd>object of class <code>"stanfit"</code></dd>

 <dt>pars</dt>
<dd>optional character vector of parameters to include</dd>

 <dt>include</dt>
<dd>logical scalar indicating whether to include (the default) or 
 exclude the parameters named in <code>pars</code></dd>

 <dt>...</dt>
<dd>unused</dd>

</dl>

Create an mcmc.list from a stanfit object

As.mcmc.list: Create an mcmc.list from a stanfit object

Description

Usage

Value

Arguments