getBlock

Determine the parameters in the block update

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

getBlock function

<dl><dt>blockSettings</dt>
<dd>settings for block update</dd></dl>

Arguments

Determine the parameters in the block update — getBlock

<dl>

<dt>blockSettings</dt>
<dd>settings for block update</dd>

</dl>

getBlock: Determine the parameters in the block update

Description

Usage

Value

Arguments