getCredibleIntervals

<p>matrix of outcomes. Could be parameters or predictions</p>

sampleMatrix

quantiles

<p>Calculate confidence region from an MCMC or similar sample</p>

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

Calculate confidence region from an MCMC or similar sample — getCredibleIntervals

Calculate confidence region from an MCMC or similar sample

getCredibleIntervals: Calculate confidence region from an MCMC or similar sample

Description

Usage

Arguments

See Also