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Simulate a Random DAG

Source: R/simulation.R
sim_dag.Rd

Simulates a random directed acyclic graph adjacency (DAG) matrix with n nodes and either m edges, edge creation probability p, or edge creation probability range p_range.

Usage

sim_dag(n, m = NULL, p = NULL)

Arguments

n

The number of nodes.

m

Integer in 0, n*(n-1)/2. Number of edges in the graph. Exactly one of m or p must be supplied.

p

Numeric in [0,1]. Probability of edge creation. Exactly one of m or p must be supplied.

Value

The sampled caugi object.

See also

caugi::generate_graph()

Examples

# Simulate a DAG with 5 nodes and 3 edges
sim_dag(n = 5, m = 3)
#> <caugi object; 5 nodes, 3 edges; simple: TRUE; built: TRUE; ptr=0x556d9dfee5d0>
#>   graph_class: DAG
#>   nodes: V1, V2, V3, V4, V5
#>   edges: V3-->V1, V4-->V1, V4-->V3

# Simulate a DAG with 5 nodes and edge creation probability of 0.2
sim_dag(n = 5, p = 0.2)
#> <caugi object; 5 nodes, 2 edges; simple: TRUE; built: TRUE; ptr=0x556d93f62830>
#>   graph_class: DAG
#>   nodes: V1, V2, V3, V4, V5
#>   edges: V2-->V1, V2-->V5