dag.adjustment: Adjust a DAG for one or more variables.

In dagR: Directed Acyclic Graphs: Analysis and Data Simulation

Adjust a DAG for one or more variables.

Description

Identifies the associations introduced by adjustment for the variables specified, and returns the DAG with these associations added. Note that this is called internally by dag.adjust, which makes sure that biasing paths are looked for and evaluted afterwards. Thus, dag.adjustment should 1.) not be called directly, and 2.) not be called on an already adjusted DAG!

Usage

dag.adjustment(dag, A=NULL)

Arguments

dag	The DAG to be adjusted.
A	The adjustment set to be applied.

Details

The adjustment set A specified when calling dag.adjustment overrules the adjustment variables that are present in the DAG. To keep these in the adjustment set, one has to add them to A.

Value

A DAG with A as the adjustment set and the associations introduced by adjustment for A added to the DAG.

Note

You should not use dag.adjustment on an already adjusted DAG, since it cannot identify associations that had been introduced by the earlier adjustment. If the new adjustment set does not include the adjustment variables present in the first set, the new DAG might feature associations that actually only would be introduced when adjusting for the variables featured in the first but not second adjustment set.

Author(s)

Lutz P Breitling <[e-mail]>

See Also

dag.adjust, find.paths, eval.paths

dagR documentation built on Oct. 9, 2022, 5:06 p.m.