applySettingsDefault

Provides the default settings for the different samplers in runMCMC

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

applySettingsDefault function

<dl><dt>settings</dt>
<dd>optional list with parameters that will be used instead of the defaults</dd>
<dt>sampler</dt>
<dd>one of the samplers in <code>runMCMC</code></dd>
<dt>check</dt>
<dd>logical determines whether parameters should be checked for consistency</dd></dl>

Arguments

Author

Provides the default settings for the different samplers in runMCMC — applySettingsDefault

<dl>

<dt>settings</dt>
<dd>optional list with parameters that will be used instead of the defaults</dd>


<dt>sampler</dt>
<dd>one of the samplers in <code>runMCMC</code></dd>


<dt>check</dt>
<dd>logical determines whether parameters should be checked for consistency</dd>

</dl>

applySettingsDefault: Provides the default settings for the different samplers in runMCMC

Description

Usage

Arguments

Author

Details