shd: Compute Structural Hamming Distance (SHD)

In pcalg: Methods for Graphical Models and Causal Inference

Compute Structural Hamming Distance (SHD)

Description

Compute the Structural Hamming Distance (SHD) between two graphs. In simple terms, this is the number of edge insertions, deletions or flips in order to transform one graph to another graph.

Usage

shd(g1,g2)

Arguments

g1	Graph object
g2	Graph object

Value

The value of the SHD (numeric).

Author(s)

Markus Kalisch [e-mail] and Martin Maechler

References

I. Tsamardinos, L.E. Brown and C.F. Aliferis (2006). The Max-Min Hill-Climbing Bayesian Network Structure Learning Algorithm. JMLR 65, 31–78.

Examples

## generate two graphs
g1 <- randomDAG(10, prob = 0.2)
g2 <- randomDAG(10, prob = 0.2)
## compute SHD
(shd.val <- shd(g1,g2))

pcalg documentation built on Sept. 26, 2023, 9:06 a.m.