jagsModel: Create a JAGS model object
In dclone: Data Cloning and MCMC Tools for Maximum Likelihood Methods

Description Usage Arguments Value Author(s) See Also

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.

1 2	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, `file` can be a readable text-mode connection, or a complete URL. It can be also a function or a `custommodel` object.
`data`	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
`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 `adapt` for details. If `n.adapt = 0` then no adaptation takes place.
`quiet`	if `TRUE` then messages generated during compilation will be suppressed.

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, solymos@ualberta.ca

Underlying functions: jags.model, update.jags

See example on help page of codaSamples.

Parallel version: parJagsModel

dclone documentation built on May 2, 2019, 6:08 p.m.