Bolstad2 (version 1.0-29)

GelmanRubin: Calculate the Gelman Rubin statistic

Description

Calculate the Gelman Rubin statistic

Usage

GelmanRubin(theta)

Arguments

theta

A matrix containing samples from at least two chains on a parameter theta. Each chain should 2n iterations. The last n iterations will be used to calculate the statistic

Value

A list containing n, the between chain variance B, the within chain variance W, the estimated variance of the parameter vHat, and the Gelman Rubin statistic \(R = \sqrt{vHat/W}\)

References

Gelman, A. and Rubin, D.B. (1992) 'Inference from iterative simulations using multiple sequences with discussion.' Statistical Science 8, pp. 457-511

Examples

# NOT RUN {
## take four chains sampling from a normal mixture density
theta0 = c(0,1)
theta1 = c(3,2)
p = 0.6
candidate = c(0, 3)

v1 = normMixMH(theta0, theta1, p, candidate, steps = 200)
v2 = normMixMH(theta0, theta1, p, candidate, steps = 200)
v3 = normMixMH(theta0, theta1, p, candidate, steps = 200)
v4 = normMixMH(theta0, theta1, p, candidate, steps = 200)

theta=cbind(v1,v2,v3,v4)
GelmanRubin(theta)

# }