metropolisRatio

Function to calculate the metropolis ratio

internal

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

metropolisRatio function

<dl><dt>LP2</dt>
<dd>log posterior old position</dd>
<dt>LP1</dt>
<dd>log posterior of proposal</dd>
<dt>tempering</dt>
<dd>value for tempering</dd></dl>

Arguments

Author

Function to calculate the metropolis ratio — metropolisRatio

<dl>

<dt>LP2</dt>
<dd>log posterior old position</dd>


<dt>LP1</dt>
<dd>log posterior of proposal</dd>


<dt>tempering</dt>
<dd>value for tempering</dd>

</dl>

metropolisRatio: Function to calculate the metropolis ratio

Description

Usage

Arguments

Author