layering: return the layering of the nodes.

In bnstruct: Bayesian Network Structure Learning from Data with Missing Values

return the layering of the nodes.

Description

Compute the topological ordering of the nodes of a network, in order to divide the network in layers.

Usage

layering(x)

## S4 method for signature 'BN'
layering(x)

Arguments

x	a BN object.

Value

a vector containing layers the nodes can be divided into.

Examples

## Not run: 
dataset <- BNDataset("file.header", "file.data")
x <- BN(dataset)
x <- learn.network(x, dataset)
layering(x)

## End(Not run)

bnstruct documentation built on May 29, 2024, 3:17 a.m.