# mcmc

From coda v0.17-1
by Martyn Plummer

##### Markov Chain Monte Carlo Objects

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`

.

- Keywords
- ts

##### 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
- ...
- Further arguments to be passed to specific methods

##### 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.

##### See Also

`mcmc.list`

,
`mcmcUpgrade`

,
`thin`

,
`window.mcmc`

,
`summary.mcmc`

,
`plot.mcmc`

.

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