rDAG: Generate a Directed Acyclic Graph (DAG) randomly

In BCDAG: Bayesian Structure and Causal Learning of Gaussian Directed Graphs

Generate a Directed Acyclic Graph (DAG) randomly

Description

This function randomly generates a Directed Acyclic Graph (DAG) with q nodes and probability of edge inclusion w.

Usage

rDAG(q, w)

Arguments

q	number of nodes
w	probability of edge inclusion in [0,1]

Details

The 0-1 adjacency matrix of the DAG is generated by drawing each element in the lower triangular part in {0,1} with probability {1-w, w}. Accordingly, the DAG has lower-triangular adjacency matrix and nodes are numerically labeled according to a topological ordering implying u > v whenever u -> v.

Value

DAG (q,q) adjacency matrix of the generated DAG

Examples

# Randomly generate a DAG on q = 8 nodes with probability of edge inclusion w = 0.2
q = 8
w = 0.2
set.seed(123)
rDAG(q = q, w = w)

BCDAG documentation built on April 4, 2025, 1:41 a.m.