R: Summary statistics for Markov Chain Monte Carlo chains

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 0.19-1 Index]