checkBayesianSetup

either object of class bayesianSetup or a log posterior function

bayesianSetup

if bayesianSetup is a function, this will set the parallelization option for the class BayesianSetup that is created internally. If bayesianSetup is already a BayesianSetup, then this will check if parallel = T is requested but not supported by the BayesianSetup. This option is for internal use in the samplers

parallel

Function used to assure that an object is of class 'BayesianSetup'. If you pass a function, it is coverted to an object of class 'BayesianSetup' (using <code><a rd-options="" href="/link/createBayesianSetup?package=BayesianTools&version=0.1.6" data-mini-rdoc="BayesianTools::createBayesianSetup">createBayesianSetup</a></code>) before it is returned.

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

checkBayesianSetup function

Function used to assure that an object is of class 'BayesianSetup'. If you pass a function, it is coverted to an object of class 'BayesianSetup' (using <code><a rd-options='' href='createBayesianSetup'>createBayesianSetup</a></code>) before it is returned.

checkBayesianSetup: Checks if an object is of class 'BayesianSetup'

Description

Usage

Arguments

See Also