simDAG: Simulate a random DAG

In causalDisco: Tools for Causal Discovery on Observational Data

Simulate a random DAG

Description

Simulates a random directed acyclic graph adjacency (DAG) matrix with the provided edge sparsity. The edge sparsity is the percentage of edges that are absent, relative to a fully connected DAG.

Usage

simDAG(p, sparsity = NULL, sparsityLim = c(0, 0.8), permute = TRUE)

Arguments

p	The number of nodes.
sparsity	If NULL (the default), a random edge sparsity is sampled from the interval provided in sparsityLim. Otherwise, the sparsity should be provided as a numeric in [0,1].
sparsityLim	A vector of two numerics, both must be in [0,1].
permute	If FALSE, the adjacency matrix will include nodes in their causal ordering. This is avoided by setting permute = TRUE, in which case the node order is permuted randomly.

Value

An adjacency matrix.

Examples

# Simulate a DAG adjacency matrix with 5 nodes
simDAG(5) 

causalDisco documentation built on May 12, 2022, 9:05 a.m.