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]