LearnBayes: normpostpred – R documentation

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normpostpred

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)

LearnBayes

Functions for Learning Bayesian Inference

v2.15.1

GPL (>= 2)

Authors