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# simplified Gelman convergence diagnostic using Brooks & Gelman's "interval" method.
# See Brooks & Gelman (1998) General methods for monitoring convergence of iterative simulations. J Computational and Graphical Statistics, 7, 434-455. p. 441
# This follows WinBUGS in using the central 80% interval as the measure of width (WinBUGS manual p.27).
simpleRhat <- function(object, n.chains, burnin=0) {
mcmcOutput::getRhat(x=object, bad=NA, sort=FALSE)
}
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