mergeChains

Merge a list of outputs from MCMC / SMC samplers

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

mergeChains function

<dl><dt>l</dt>
<dd>a list with objects that can be accessed with <code>getSample</code></dd>
<dt>...</dt>
<dd>arguments to be passed on to <code>getSample</code></dd></dl>

Arguments

Author

Merge Chains — mergeChains

<dl>

<dt>l</dt>
<dd>a list with objects that can be accessed with <code>getSample</code></dd>


<dt>...</dt>
<dd>arguments to be passed on to <code>getSample</code></dd>

</dl>

mergeChains: Merge Chains

Description

Usage

Value

Arguments

Author

Details