getPredictiveDistribution

Calculates predictive distribution based on the parameters

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

getPredictiveDistribution function

<dl><dt>parMatrix</dt>
<dd>matrix of parameter values</dd>
<dt>model</dt>
<dd>model / function to calculate predictions. Outcome should be a vector</dd>
<dt>numSamples</dt>
<dd>number of samples to be drawn</dd></dl>

Arguments

Author

Calculates predictive distribution based on the parameters — getPredictiveDistribution

<dl>

<dt>parMatrix</dt>
<dd>matrix of parameter values</dd>


<dt>model</dt>
<dd>model / function to calculate predictions. Outcome should be a vector</dd>


<dt>numSamples</dt>
<dd>number of samples to be drawn</dd>

</dl>

getPredictiveDistribution: Calculates predictive distribution based on the parameters

Description

Usage

Arguments

Author

Details

See Also