modelToNode: Convert a Model Object to a Network Node

In HydeNet: Hybrid Bayesian Networks Using R and JAGS

Description

In cases where model objects may already be fit and established, they can be used to generate a network without having to refit the models or specify the distributions in setNode.

For models built with xtabs, although a data frame may be passed when building the model, it is not stored in the object. Thus, the data used to construct the models are not carried with the node.

Usage

modelToNode(model, nodes, ...)

## Default S3 method:
modelToNode(model, nodes, ...)

## S3 method for class 'cpt'
modelToNode(model, nodes, ...)

## S3 method for class 'glm'
modelToNode(model, nodes, ...)

## S3 method for class 'lm'
modelToNode(model, nodes, ...)

## S3 method for class 'multinom'
modelToNode(model, nodes, ...)

## S3 method for class 'survreg'
modelToNode(model, nodes, ...)

## S3 method for class 'xtabs'
modelToNode(model, nodes, ...)

Arguments

model	A model object
nodes	A vector of node names, usually as network$nodes
...	Additional arguments to be passed to other functions. Currently ignored.

HydeNet documentation built on July 8, 2020, 5:15 p.m.