causaldag.classes.dag.DAG.dsep¶
-
DAG.
dsep
(A: Union[Set[Hashable], Hashable], B: Union[Set[Hashable], Hashable], C: Union[Set[Hashable], Hashable] = {}, verbose=False, certify=False) → bool[source]¶ Check if
A
andB
are d-separated givenC
, using the Bayes ball algorithm.Parameters: - A – First set of nodes.
- B – Second set of nodes.
- C – Separating set of nodes.
- verbose – If True, print moves of the algorithm.
See also
Returns: Return type: is_dsep Example
>>> import causaldag as cd >>> g = cd.DAG(arcs={(1, 2), (3, 2)}) >>> g.dsep(1, 3) True >>> g.dsep(1, 3, 2) False