summary.mcmc
produces two sets of summary statistics for
each variable:
Mean, standard deviation, naive standard error of the mean
(ignoring autocorrelation of the chain) and time-series standard
error based on an estimate of the spectral density at 0. Quantiles of the sample distribution using the quantiles
argument.
## S3 method for class 'mcmc':
summary(object, quantiles = c(0.025, 0.25, 0.5, 0.75, 0.975), ...)
mcmc
or mcmc.list
mcmc
,
mcmc.list
.