isIdentified: Check if a total causal effect is identified

In eff2: Efficient Least Squares for Total Causal Effects

Description

The total causal effect from x to y is identified if and only if there is no possibly causal path from x to y that starts with an undirected edge.

Usage

isIdentified(amat, x, y, type = "pdag")

Arguments

amat	adjacency matrix. See estimateEffect for its coding.
x	(integer) positions of treatment variables in the adjacency matrix
y	(integer) positions of outcome variables in the adjacency matrix
type	string specifying the type of graph of amat. It can be DAG (type='dag') or MPDAG/CPDAG (type='pdag').

Value

TRUE if identified, FALSE if not.

References

Emilija Perkovic. Identifying causal effects in maximally oriented partially directed acyclic graphs. In Uncertainty in Artificial Intelligence (UAI), 2020.

See Also

estimateEffect

Examples

data("ex1")
# identified
isIdentified(ex1$amat.cpdag, c(3, 5), 7)
# not identified
isIdentified(ex1$amat.cpdag, 3, 7)
isIdentified(ex1$amat.cpdag, c(3, 5), 10)

eff2 documentation built on Oct. 1, 2021, 1:07 a.m.