causaldag.classes.dag.DAG.cpdag

DAG.cpdag()

Return the completed partially directed acyclic graph (CPDAG, aka essential graph) that represents the Markov equivalence class of this DAG.

Returns:CPDAG representing the MEC of this DAG. Return type:causaldag.PDAG

Examples

>>> import causaldag as cd
>>> g = cd.DAG(arcs={(1, 2), (2, 4), (3, 4)})
>>> cpdag = g.cpdag()
>>> cpdag.edges
{frozenset({1, 2})}
>>> cpdag.arcs
{(2, 4), (3, 4)}