Output analysis and diagnostics for MCMC

as.mcmc(x)	Markov Chain Monte Carlo Objects
as.ts.mcmc	Coerce mcmc object to time series
autocorr	Autocorrelation function for Markov chains
autocorr.plot	Plot autocorrelations for Markov Chains
codamenu	Main menu driver for the coda package
crosscorr	Cross correlations for MCMC output
crosscorr.plot	Plot image of correlation matrix
densplot	Probability density function estimate from MCMC output
end.mcmc(x)	Time series methods for mcmc objects
frequency.mcmc(x)	Time series methods for mcmc objects
gelman.diag	Gelman and Rubin's diagnostic
geweke	Plot of Geweke's convergence diagnostic for Markov chains
geweke.diag	Geweke's convergence diagnostic for Markov chains
heidel.diag	Heidelberger and Welch's convergence diagnosics
is.mcmc(x)	Markov Chain Monte Carlo Objects
join.mcmc	Join replicates of MCMC output
mcmc	Markov Chain Monte Carlo Objects
multi.menu	Choose multiple options from a menu
raftery.diag	Raftery Lewis diagnostic: Calculate the number of iterations required for an MCMC run
read.and.check	Read data interactively and check that it satisfies conditions
read.bugs	Read BUGS output files
read.bugs.interactive	Read BUGS output files interactively
spec.pgram	Estimate spectral density from smoothed periodogram
start.mcmc(x)	Time series methods for mcmc objects
summary(mcmc.obj, quantiles = c(0.02, 0.25, 0.5, 0.75, 0.98), batch.size = 25, combine.chains = F, ...)	Markov Chain Monte Carlo Objects
thin.mcmc(x)	Time series methods for mcmc objects
time.mcmc	Time series methods for mcmc objects
window.mcmc	Time windows for mcmc objects