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]