hiergibbs: Gibbs sampling for a hierarchical regression model

In bayesball/LearnBayes: Learning Bayesian Inference

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)

bayesball/LearnBayes documentation built on May 11, 2019, 9:21 p.m.