# summary.mcmc

From coda v0.17-1
by Martyn Plummer

##### Summary statistics for Markov Chain Monte Carlo chains

`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.

- Keywords
- univar

##### 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

##### See Also

*Documentation reproduced from package coda, version 0.17-1, License: GPL (>= 2)*

### Community examples

Looks like there are no examples yet.