mcmc {coda} | R Documentation |

## Markov Chain Monte Carlo Objects

### Description

The function `mcmc' is used to create a Markov Chain Monte Carlo object.
The data are taken to be a vector, or a matrix with one column per
variable.

An mcmc object may be summarized by the `summary`

function
and visualized with the `plot`

function.

MCMC objects resemble time series (`ts`

) objects and have
methods for the generic functions `time`

, `start`

,
`end`

, `frequency`

and `window`

.

### Usage

mcmc(data= NA, start = 1, end = numeric(0), thin = 1)
as.mcmc(x)
is.mcmc(x)

### Arguments

`data` |
a vector or matrix of MCMC output |

`start` |
the iteration number of the first observation |

`end` |
the iteration number of the last observation |

`thin` |
the thinning interval between consecutive observations |

`x` |
An object that may be coerced to an mcmc object |

### Note

The format of the mcmc class has changed between coda version 0.3
and 0.4. Older mcmc objects will now cause `is.mcmc`

to
fail with an appropriate warning message. Obsolete mcmc objects can
be upgraded with the `mcmcUpgrade`

function.

### Author(s)

Martyn Plummer

### See Also

`mcmc.list`

,
`mcmcUpgrade`

,
`thin`

,
`window.mcmc`

,
`summary.mcmc`

,
`plot.mcmc`

.

[Package

*coda* version 0.8-3

Index]