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.
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")
