verma.constraints {causaleffect} | R Documentation |

## Find Verma constraints for a given graph

### Description

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

### Usage

`verma.constraints(G)`

### Arguments

`G` |
An |

### Value

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`

.

### Author(s)

Santtu Tikka

### References

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.

*causaleffect*version 1.3.15 Index]