hiergibbs {LearnBayes}R Documentation

Gibbs sampling for a hierarchical regression model

Description

Implements Gibbs sampling for estimating a two-way table of means under a hierarchical regression model.

Usage

hiergibbs(data,m)

Arguments

data data matrix with columns observed sample means, sample sizes, and values of two covariates
m number of cycles of Gibbs sampling

Value

beta matrix of simulated values of regression vector
mu matrix of simulated values of cell means
var vector of simulated values of second-stage prior variance

Author(s)

Jim Albert

Examples

data(iowagpa)
m=1000
s=hiergibbs(iowagpa,m)

[Package LearnBayes version 2.0 Index]