gelman.plot(mcmc.list.obj, bin.width = 10, max.bins = 50, confidence = 0.95, transform = FALSE, auto.layout = TRUE, ask = TRUE, ...)
geweke.plot
).
The Markov chain is divided into bins according to the arguments
bin.width
and max.bins
. Then the Gelman-Rubin shrink factor
is repeatedly calculated. The first shrink factor is calculated with
observations 1:50, the second with observations 1:(50+n) where n is
the bin width, the third contains samples 1:(50+2n) and so on.
gelman.diag
,
geweke.plot
.