getPredictiveDistribution: Calculates predictive distribution based on the parameters

In BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Calculates predictive distribution based on the parameters

Description

Calculates predictive distribution based on the parameters

Usage

getPredictiveDistribution(parMatrix, model, numSamples = 1000)

Arguments

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

Details

If numSamples is greater than the number of rows in parMatrix, or NULL, or FALSE, or less than 1 all samples in parMatrix will be used.

Author(s)

Florian Hartig

See Also

getPredictiveIntervals
getCredibleIntervals

BayesianTools documentation built on Feb. 16, 2023, 8:44 p.m.