mcarray.object | R Documentation |

An `mcarray`

object is used by the `jags.samples`

function
to represent MCMC output from a JAGS model. It is an array with named
dimensions, for which the dimensions "iteration" and "chain" have a
special status

```
## S3 method for class 'mcarray'
summary(object, FUN, ...)
## S3 method for class 'mcarray'
print(x, ...)
## S3 method for class 'mcarray'
as.mcmc.list(x, ...)
```

`object` , `x` |
an |

`FUN` |
a function to be used to generate summary statistics |

`...` |
additional arguments to the call |

The `coda`

package defines `mcmc`

objects for representing
output from an MCMC sampler, and `mcmc.list`

for representing
output from multiple parallel chains. These objects emphasize the
time-series aspect of the MCMC output, but lose the original array
structure of the variables they represent. The `mcarray`

class
attempts to rectify this by preserving the dimensions of the original
node array defined in the JAGS model.

The `summary`

method for `mcarray`

objects applies the
given function to the array, marginalizing the "chain" and "iteration"
dimensions.

The `print`

method applies the summary function with
`FUN=mean`

.

The `as.mcmc.list`

method coerces an `mcarray`

to an
`mcmc.list`

object so that the diagnostics provided by the
`coda`

package can be applied to the MCMC output it represents.

Martyn Plummer

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