R: Posterior predictive simulation from Bayesian normal sampling...

normpostpred {LearnBayes} | R Documentation

## Posterior predictive simulation from Bayesian normal sampling model

### Description

Given simulated draws from the posterior from a normal sampling model, outputs simulated draws from the posterior predictive distribution of a statistic of interest.

### Usage

    normpostpred(parameters,sample.size,f=min)

### Arguments

`parameters` | list of simulated draws from the posterior where mu contains the normal mean and sigma2 contains the normal variance
`sample.size` | size of sample of future sample
`f` | function defining the statistic

### Value

simulated sample of the posterior predictive distribution of the statistic

### Author(s)

Jim Albert

### Examples

    # finds posterior predictive distribution of the min statistic of a future sample of size 15
    data(darwin)
    s=normpostsim(darwin$difference)
    sample.size=15
    sim.stats=normpostpred(s,sample.size,min)

[Package LearnBayes version 2.15 Index]