dagitty: backDoorGraph – R documentation

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backDoorGraph

Back-Door Graph

Description

Removes every first edge on a proper causal path from x. If x is a MAG or PAG, then only “visible” directed edges are removed (Zhang, 2008).

Usage

backDoorGraph(x)

Arguments

`x`	the input graph, a DAG, MAG, PDAG, or PAG.

References

J. Zhang (2008), Causal Reasoning with Ancestral Graphs. Journal of Machine Learning Research 9: 1437-1474.

Examples

g <- dagitty( "dag { x <-> m <-> y <- x }" )
backDoorGraph( g ) # x->y edge is removed

g <- dagitty( "mag { x <-> m <-> y <- x }" )
backDoorGraph( g ) # x->y edge is not removed

g <- dagitty( "mag { x <-> m <-> y <- x <- i }" )
backDoorGraph( g ) # x->y edge is removed

dagitty

Graphical Analysis of Structural Causal Models

v0.3-1

GPL-2

Authors

Johannes Textor, Benito van der Zander, Ankur Ankan

Initial release

2021-01-20