testDensityGelmanMeng

General-purpose MCMC and SMC samplers, as well as plot and
diagnostic functions for Bayesian statistics, with a particular focus on
calibrating complex system models. Implemented samplers include various
Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the
T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential
Monte Carlo (SMC) particle filter.

Florian Hartig

BayesianTools

General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics

Francesco Minunno

Stefan  Paul

David Cameron

Tankred Ott

Maximilian Pichler

testDensityGelmanMeng function

<dl><dt>x</dt>
<dd>parameter vector</dd>
<dt>A</dt>
<dd>function parameter</dd>
<dt>B</dt>
<dd>function parameter</dd>
<dt>C1</dt>
<dd>function parameter</dd>
<dt>C2</dt>
<dd>function parameter</dd>
<dt>log</dt>
<dd>log
A non-elliptical, bivariate density function proposed by Gelman and Meng (1991).</dd></dl>

Arguments

GelmanMeng test function — testDensityGelmanMeng

<dl>

<dt>x</dt>
<dd>parameter vector</dd>


<dt>A</dt>
<dd>function parameter</dd>


<dt>B</dt>
<dd>function parameter</dd>


<dt>C1</dt>
<dd>function parameter</dd>


<dt>C2</dt>
<dd>function parameter</dd>


<dt>log</dt>
<dd>log
A non-elliptical, bivariate density function proposed by Gelman and Meng (1991).</dd>

</dl>

GelmanMeng test function

testDensityGelmanMeng: GelmanMeng test function

Description

Usage

Arguments