verma.constraints {causaleffect} | R Documentation |
This functions computes functional constraints known as Verma constraints for a joint distribution of a given semi-Markovian causal model.
verma.constraints(G)
G |
An |
A list of lists, each with five components corresponding to the functional constraint. The two equal c-factors that imply the functional independence are described by lhs.cfactor
and rhs.cfactor
and their expressions are given by lhs.expr
and rhs.expr
respectively. The independent variables are given by vars
.
Santtu Tikka
Tian, J., Pearl J. 2002 On Testable Implications of Causal Models with Hidden variables. Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, 519–527.