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Authors: Markus Kalisch, Martin Mächler, Diego Colombo, Marloes H. Maathuis, Peter Bühlmann
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Causal Inference Using Graphical Models with the R Package pcalg
Reference: Vol. 47, Issue 11, May 2012
Submitted 2010-10-18, Accepted 2012-02-23
Type: Article
Abstract:

The pcalg package for R can be used for the following two purposes: Causal structure learning and estimation of causal effects from observational data. In this document, we give a brief overview of the methodology, and demonstrate the package’s functionality in both toy examples and applications.

Paper: [download]
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Causal Inference Using Graphical Models with the R Package pcalg
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pcalg_1.1-5.tar.gz: R source package
(application/x-gzip, 3.2 MB)
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v47i11.R: R example code from the paper
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Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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