Generate a caugi using Erdős-Rényi.

Sample a random DAG or CPDAG using Erdős-Rényi for random graph generation.

Usage

generate_graph(n, m = NULL, p = NULL, class = c("DAG", "CPDAG"))

Arguments

n

Integer >= 0. Number of nodes in the graph.

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.

class

"DAG" or "CPDAG".

Value

The sampled caugi object.

See also

Other simulation functions: simulate_data()

Examples

# generate a random DAG with 5 nodes and 4 edges
dag <- generate_graph(n = 5, m = 4, class = "DAG")

# generate a random CPDAG with 5 nodes and edge probability 0.3
cpdag <- generate_graph(n = 5, p = 0.3, class = "CPDAG")