generateCRvalues

Generates matrix of CR values based on pCR

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

generateCRvalues function

<dl><dt>pCR</dt>
<dd>Vector of crossover probabilities. Needs to be of length nCR.</dd>
<dt>settings</dt>
<dd>settings list</dd>
<dt>Npop</dt>
<dd>number of chains</dd></dl>

Arguments

Generates matrix of CR values based on pCR — generateCRvalues

<dl>

<dt>pCR</dt>
<dd>Vector of crossover probabilities. Needs to be of length nCR.</dd>


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


<dt>Npop</dt>
<dd>number of chains</dd>

</dl>

generateCRvalues: Generates matrix of CR values based on pCR

Description

Usage

Value

Arguments