summary.mcmc: Summary statistics for Markov Chain Monte Carlo chains

In coda: Output Analysis and Diagnostics for MCMC

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.

coda documentation built on Oct. 24, 2020, 9:10 a.m.