dsep: Test d-separation

In bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference

Test d-separation

Description

Check whether two nodes are d-separated.

Usage

dsep(bn, x, y, z)

Arguments

bn	an object of class bn.
x, y	a character string, the label of a node.
z	an optional vector of character strings, the label of the (candidate) d-separating nodes. It defaults to the empty set.

Value

dsep() returns TRUE if x and y are d-separated by z, and FALSE otherwise.

Author(s)

Marco Scutari

References

Koller D, Friedman N (2009). Probabilistic Graphical Models: Principles and Techniques. MIT Press.

Examples

bn = model2network("[A][C|A][B|C]")
dsep(bn, "A", "B", "C")
bn = model2network("[A][C][B|A:C]")
dsep(bn, "A", "B", "C")

bnlearn documentation built on Sept. 11, 2024, 8:27 p.m.