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

     model <- SingleBatchModelExample
     mp <- McmcParams(iter=200, burnin=50)
     mcmcParams(model) <- mp
     model <- posteriorSimulation(model)
     pd <- posteriorPredictive(model)
     if(FALSE) qqplot(pd, y(model))

    ## Not run:
        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 1.12.0 Index]