coda

The Cramer-von Mises Distribution

Highest Posterior Density intervals

Coerce mcmc object to time series

Autocorrelation function for Markov chains

Autocorrelation function for Markov chains

Plot autocorrelations for Markov Chains

Batch Standard Error

Convert WinBUGS data file to JAGS data file

Options settings for the codamenu driver

Main menu driver for the coda package

Cross correlations for MCMC output

Plot image of correlation matrix

Cumulative quantile plot

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

Simple linear regression example

Markov Chain Monte Carlo Objects

Conversions of MCMC objects

Replicated 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 output files in CODA format

Read CODA output files interactively

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