reparareff {mcsm} | R Documentation |
This function proposes a reanalysis of the one-way random effect model processed in
randomeff
via a Gibbs
sampler using another parameterization of the model in order to exhibit a different
convergent behavior.
reparareff(nsim = 10^4, a = 10, b = 10)
nsim |
Number of Gibbs iterations |
a |
Common shape parameter for the inverted variances |
b |
Common scale parameter for the inverted variances |
This function produces a plot made of six acf
output corresponding to the
parameters mu, theta1, and theta2, both in the
original parameterization and in the new one.
Christian P. Robert and George Casella
Chapter 7 of EnteR Monte Carlo Statistical Methods
reparareff(10^4,a=1,b=1)