writeJagsModel: Write a Node's JAGS Model
In nutterb/HydeNet: Hybrid Bayesian Networks Using R and JAGS

Description Usage Arguments Details Author(s) See Also Examples

Constructs the JAGS code that designates the model for the node conditioned on its parents. The parameters for the model may be user supplied or estimated from a given data set.

writeJagsModel(network, node)

writeJagsModel_default(network, node_str, node_params)

writeJagsModel_dbern(network, node_str, node_params)

writeJagsModel_dcat(network, node_str, node_params)

writeJagsModel_determ(network, node_str, node_params)

writeJagsModel_dnorm(network, node_str, node_params)

writeJagsModel_dnorm_default(network, node_str, node_params)

writeJagsModel_dpois(network, node_str, node_params)

`network`	A network of class HydeNetwork
`node`	A node within `network`
`node_str`	A character string giving the name of a node within `network`. This is usually generated within `writeJagsModel` and passed to a specific method.
`node_params`	A vector of parameters for the node. Generated by `writeJagsModel` and passed to a specific method.

The manipulations are performed on the nodeParams element of the Hyde network. A string of JAGS code is returned suitable for inclusion in the Bayesian analysis.

The function will (eventually) travel through a serious of if statements until it finds the right node type. It will then match the appropriate arguments to the inputs based on user supplied values or estimating them from the data.

Jarrod Dalton and Benjamin Nutter

writeJagsFormula

## Not run: 
#* NOTE: writeJagsModel isn't an exported function
data(PE, package='HydeNet')
Net <- HydeNetwork(~ wells + 
                     pe | wells + 
                     d.dimer | pregnant*pe + 
                     angio | pe + 
                     treat | d.dimer*angio + 
                     death | pe*treat,
                     data = PE)
HydeNet:::writeJagsModel(Net, 'pe')
HydeNet:::writeJagsModel(Net, 'treat')

## End(Not run)