cnSubNetwork: Sub-Network
In sdnet: Soft-Discretization-Based Bayesian Network Inference

Description Usage Arguments Details Value Author(s) Examples

Returns a sub-network of a given catNetwork object.

1	cnSubNetwork(object, nodeIndices, indirectEdges)

`object`	a `catNetwork`
`nodeIndices`	a `vector`, the subset of nodes to be taken
`indirectEdges`	a `logical`, should the indirect connectivity be preserved

The function creates a new network from a given one using a subset of its nodes, specified by nodeIndices. If indirectIndices is set to TRUE, then the resulting network contains edges between all nodes that are connected by chains of directed edges in the original one. The default value of indirectIndices is FALSE, thus the new set of edges is subset of the original one.

A catNetwork object.

N. Balov

  cnet <- cnRandomCatnet(numnodes=10, maxpars=3, numcats=2)
  cnet1 <- cnSubNetwork(object=cnet, nodeIndices=c(1,2,3,4,5), indirectEdges=TRUE)
  cnNodes(object=cnet)
  cnNodes(object=cnet1)