aid: Adjustment Identification Distance

In caugi: Causal Graph Interface

Adjustment Identification Distance

Description

Compute the Adjustment Identification Distance (AID) between two graphs. AID counts how often the adjustment-identification strategy applied to guess yields a causal inference that is incorrect relative to truth. Implemented in caugi's Rust backend following Henckel, Würtzen & Weichwald (2024), doi:10.48550/arXiv.2402.08616.

Usage

aid(truth, guess, type = c("oset", "ancestor", "parent"), normalized = TRUE)

Arguments

truth	A caugi object of class "DAG" or "CPDAG".
guess	A caugi object of class "DAG" or "CPDAG".
type	A character string specifying the type of AID to compute. Options are "oset" (default), "ancestor", and "parent".
normalized	Logical; if TRUE, returns the normalized AID. If FALSE, returns the count.

Value

A numeric representing the AID between the two graphs, if normalized = TRUE, or an integer count if normalized = FALSE.

See Also

Other metrics: hd(), shd()

Examples

set.seed(1)
truth <- generate_graph(n = 100, m = 200, class = "DAG")
guess <- generate_graph(n = 100, m = 200, class = "DAG")
aid(truth, guess) # 0.0187

caugi documentation built on Oct. 28, 2026, 1:07 a.m.