posteriorPredictive {CNPBayes} | R Documentation

## Simulate data from the posterior predictive distribution

### Description

Simulating from the posterior predictive distribution can be helpful for assessing the adequacy of the mixture model.

### Usage

    posteriorPredictive(model)

### Arguments

`model` | a SingleBatchModel or MultiBatchModel

### Examples

    ## Not run:
       model <- SingleBatchModelExample
       mp <- McmcParams(iter=200, burnin=50)
       mcmcParams(model) <- mp
       model <- posteriorSimulation(model)
       pd <- posteriorPredictive(model)
       if(FALSE) qqplot(pd, y(model))

       bmodel <- MultiBatchModelExample
       mp <- McmcParams(iter=500, burnin=150, nStarts=20)
       mcmcParams(bmodel) <- mp
       bmodel <- posteriorSimulation(bmodel)
       batchy <- posteriorPredictive(bmodel)

    ## End(Not run)

[Package CNPBayes version 1.13.5 Index]