plotSensitivity

Performs a one-factor-at-a-time sensitivity analysis for the posterior of a given bayesianSetup within the prior range.

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

plotSensitivity function

<dl><dt>bayesianSetup</dt>
<dd>An object of class BayesianSetup</dd>
<dt>selection</dt>
<dd>indices of selected parameters</dd>
<dt>equalScale</dt>
<dd>if T, y axis of all plots will have the same scale</dd></dl>

Arguments

Author

Performs a one-factor-at-a-time sensitivity analysis for the posterior of a given bayesianSetup within the prior range. — plotSensitivity

<dl>

<dt>bayesianSetup</dt>
<dd>An object of class BayesianSetup</dd>


<dt>selection</dt>
<dd>indices of selected parameters</dd>


<dt>equalScale</dt>
<dd>if T, y axis of all plots will have the same scale</dd>

</dl>

plotSensitivity: Performs a one-factor-at-a-time sensitivity analysis for the posterior of a given bayesianSetup within the prior range.

Description

Usage

Arguments

Author

Examples