setupStartProposal

Help function to find starvalues and proposalGenerator settings

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

setupStartProposal function

<dl><dt>proposalGenerator</dt>
<dd>proposal generator</dd>
<dt>bayesianSetup</dt>
<dd>either an object of class bayesianSetup created by <code>createBayesianSetup</code> (recommended), or a log target function</dd>
<dt>settings</dt>
<dd>list with settings</dd></dl>

Arguments

Author

Help function to find starvalues and proposalGenerator settings — setupStartProposal

<dl>

<dt>proposalGenerator</dt>
<dd>proposal generator</dd>


<dt>bayesianSetup</dt>
<dd>either an object of class bayesianSetup created by <code>createBayesianSetup</code> (recommended), or a log target function</dd>


<dt>settings</dt>
<dd>list with settings</dd>

</dl>

setupStartProposal: Help function to find starvalues and proposalGenerator settings

Description

Usage

Arguments

Author