jagsModel  R Documentation 
jagsModel
is used to create an object representing a
Bayesian graphical model, specified with a BUGSlanguage description
of the prior distribution, and a set of data.
This function uses jags.model
but keeps track
of data cloning information supplied via the data
argument.
The model argument can also accept functions or 'custommodel' objects.
jagsModel(file, data=sys.frame(sys.parent()), inits, n.chains = 1,
n.adapt=1000, quiet=FALSE)
file 
the name of the file containing a
description of the model in the
JAGS dialect of the BUGS language.
Alternatively, 
data 
a list or environment containing the data. Any numeric
objects in 
inits 
optional specification of initial values in the form of a list or a function. If omitted, initial values will be generated automatically. It is an error to supply an initial value for an observed node. 
n.chains 
the number of chains for the model 
n.adapt 
the number of iterations for adaptation. See

quiet 
if 
parJagsModel
returns an object inheriting from class jags
which can be used to generate dependent samples from the posterior
distribution of the parameters.
An object of class jags
is a list of functions that share a
common environment, see jags.model
for details.
An n.clones
attribute is attached to the object when applicable.
Peter Solymos
Underlying functions: jags.model
,
update.jags
See example on help page of codaSamples
.
Parallel version: parJagsModel
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