Description Usage Arguments Value Author(s) References

View source: R/verma.constraints.R

This functions computes functional constraints known as Verma constraints for a joint distribution of a given semi-Markovian causal model.

1 |

`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.

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