summary_dagRdag: Summarize a DAG.
In dagR: Directed Acyclic Graphs: Analysis and Data Simulation
View source: R/summary_dagRdag.R
summary_dagRdag R Documentation
Summarize a DAG.
Description
Generic function summary() working code for class dagRdag, which is used by package dagR from version 1.1.1 on. From version 1.2.0, summary.dagRdag() is available as a generic function, but summary_dagRdag is preserved for backwards compatibility.
Usage
summary_dagRdag(dag)
Arguments
dag
An object of class dagRdag.
Details
Summarizes according to what functions have been applied to the DAG. It does not itself call dag.search and the like. Exception: is calls is.acyclic (with maxSecs=5).
Author(s)
Lutz P Breitling <l.breitling@posteo.de>
References
Breitling LP (2010). dagR: a suite of R functions for directed acyclic graphs. Epidemiology 21(4):586-587.
Greenland S, Pearl J, Robins JM (1999). Causal diagrams for epidemiologic reserach. Epidemiology 10(1):37-48.
Kn\"uppel S, Stang A (2010). DAG Program: identifying minimal sufficient adjustment sets. Epidemiology 21(1):159.
dagR documentation built on Oct. 9, 2022, 5:06 p.m.
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View source: R/summary_dagRdag.R
| summary_dagRdag | R Documentation |
Summarize a DAG.
Description
Generic function summary() working code for class dagRdag, which is used by package dagR from version 1.1.1 on. From version 1.2.0, summary.dagRdag() is available as a generic function, but summary_dagRdag is preserved for backwards compatibility.
Usage
summary_dagRdag(dag)
Arguments
dag |
An object of class |
Details
Summarizes according to what functions have been applied to the DAG. It does not itself call dag.search and the like. Exception: is calls is.acyclic (with maxSecs=5).
Author(s)
Lutz P Breitling <l.breitling@posteo.de>
References
Breitling LP (2010). dagR: a suite of R functions for directed acyclic graphs. Epidemiology 21(4):586-587.
Greenland S, Pearl J, Robins JM (1999). Causal diagrams for epidemiologic reserach. Epidemiology 10(1):37-48.
Kn\"uppel S, Stang A (2010). DAG Program: identifying minimal sufficient adjustment sets. Epidemiology 21(1):159.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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