summary.mcmc {coda}R Documentation

Summary statistics for Markov Chain Monte Carlo chains

Description

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.

Usage

## S3 method for class 'mcmc':
summary(object, quantiles = c(0.025, 0.25, 0.5, 0.75, 0.975), ...)

Arguments

object an object of class mcmc or mcmc.list
quantiles a vector of quantiles to evaluate for each variable
... a list of further arguments

Author(s)

Martyn Plummer

See Also

mcmc, mcmc.list.


[Package coda version 0.8-3 Index]