randomBN: Create random Bayesian network

In cbg-ethz/SubGroupSeparation: Inference in Bayesian Networks

Create random Bayesian network

Description

Creates a random Bayesian networks where the DAG simulation is based on bnlearn (Generates graphs whose node ordering is given by the order of the labels in the nodes argument)

Usage

randomBN(
  N_nodes,
  N_neighbours = 2,
  nodeDim = 2,
  method = "er",
  uniformCPTs = TRUE,
  visualize = FALSE
)

Arguments

N_nodes	number of nodes of the network (30 by default)
N_neighbours	expected number of neighbours per node (binary by default)
nodeDim	number of possible assignments of each node (binary by default)
method	Graph type input for randDAG ("er" by default)
uniformCPTs	whether CPTs are simulated from a uniform distribution
visualize	If true, the network is plotted

Value

random Bayesian network of type BN()

cbg-ethz/SubGroupSeparation documentation built on Feb. 11, 2023, 8:29 p.m.