Output Analysis and Diagnostics for MCMC
Batch Standard Error
Convert WinBUGS data file to JAGS data file
Options settings for the codamenu driver
Main menu driver for the coda package
The Cramer-von Mises Distribution
Plot image of correlation matrix
Cross correlations for MCMC output
Cumulative quantile plot
Coerce mcmc object to time series
Autocorrelation function for Markov chains
Plot autocorrelations for Markov Chains
Autocorrelation function for Markov chains
Probability density function estimate from MCMC output
Effective sample size for estimating the mean
Gelman and Rubin's convergence diagnostic
Gelman-Rubin-Brooks plot
Geweke's convergence diagnostic
Geweke-Brooks plot
Heidelberger and Welch's convergence diagnostic
Highest Posterior Density intervals
Simple linear regression example
Conversions of MCMC objects
Replicated Markov Chain Monte Carlo Objects
Markov Chain Monte Carlo Objects
Extract or replace parts of MCMC objects
Upgrade mcmc objects in obsolete format
Mcpar attribute of MCMC objects
Choose multiple options from a menu
Dimensions of MCMC objects
Summary plots of mcmc objects
Raftery and Lewis's diagnostic
Read data interactively and check that it satisfies conditions
Read CODA output files interactively
Read output files in CODA format
Read CODA output files produced by OpenBUGS
Rejection Rate for Metropolis--Hastings chains
Estimate spectral density at zero
Estimate spectral density at zero
Summary statistics for Markov Chain Monte Carlo chains
Thinning interval
Time attributes for mcmc objects
Trace plot of MCMC output
Trellis plots for mcmc objects
Named dimensions of MCMC objects
Time windows for mcmc objects
Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain.