mcarray.object {rjags} | 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