getCredibleIntervals

Calculate confidence region from an MCMC or similar sample

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

getCredibleIntervals function

<dl><dt>sampleMatrix</dt>
<dd>matrix of outcomes. Could be parameters or predictions</dd>
<dt>quantiles</dt>
<dd>quantiles to be calculated</dd></dl>

Arguments

Author

Calculate confidence region from an MCMC or similar sample — getCredibleIntervals

<dl>

<dt>sampleMatrix</dt>
<dd>matrix of outcomes. Could be parameters or predictions</dd>


<dt>quantiles</dt>
<dd>quantiles to be calculated</dd>

</dl>

getCredibleIntervals: Calculate confidence region from an MCMC or similar sample

Description

Usage

Arguments

Author

See Also