Output analysis and diagnostics for MCMC


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acf autocorrelation function for time series
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.diag Geweke's convergence diagnostic for Markov chains
geweke.plot Plot of 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,
thin thin
thin.mcmc(x) Time series methods for mcmc objects
time.mcmc Time series methods for mcmc objects
window.mcmc Time windows for mcmc objects