betaFun

Helper function for calculating beta

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

betaFun function

<dl><dt>at</dt>
<dd>"traverse" move proposal parameter.</dd></dl>

Arguments

Helper function for calculating beta — betaFun

<dl>

<dt>at</dt>
<dd>"traverse" move proposal parameter.</dd>

</dl>

betaFun: Helper function for calculating beta

Description

Usage

Arguments