updateGroups

<p>MCMC chain including only the parameters (not logP,ll, logP)</p>

chain

blockSettings

<p>Determine the groups of correlated parameters</p>

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

updateGroups function

Determine the groups of correlated parameters — updateGroups

Determine the groups of correlated parameters

updateGroups: Determine the groups of correlated parameters

Description

Usage

Arguments

Value