This plot shows the evolution of Gelman and Rubin's shrink factor as the number of iterations increases. The code is adapted from the R package coda.
Usage
# S3 method for class 'valmeta'
gelmanplot(x, confidence = 0.95, ...)
Examples
if (FALSE) { # \dontrun{
data(EuroSCORE)
# Meta-analysis of the concordance statistic
fit <- valmeta(cstat=c.index, cstat.se=se.c.index, cstat.cilb=c.index.95CIl,
cstat.ciub=c.index.95CIu, N=n, O=n.events,
data=EuroSCORE, method="BAYES", slab=Study)
gelmanplot(fit)
} # }