jagsModel is used to create an object representing a
Bayesian graphical model, specified with a BUGS-language 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)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.
the name of the file containing a
description of the model in the
JAGS dialect of the BUGS language.
Alternatively, file can be a readable text-mode connection,
or a complete URL. It can be also a function or a
custommodel object.
a list or environment containing the data. Any numeric
objects in data corresponding to node arrays used in
file are taken to represent the values of observed nodes
in the model
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.
the number of chains for the model
the number of iterations for adaptation. See
adapt for details. If n.adapt = 0 then no
adaptation takes place.
if TRUE then messages generated during compilation
will be suppressed.
Peter Solymos, solymos@ualberta.ca
Underlying functions: jags.model,
update.jags
See example on help page of codaSamples.
Parallel version: parJagsModel