Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Markus Kalisch, Martin Mächler, Diego Colombo, Marloes H. Maathuis, Peter Bühlmann
Title: Causal Inference Using Graphical Models with the R Package pcalg
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.

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Paper: Causal Inference Using Graphical Models with the R Package pcalg     Download PDF (Downloads: 11004)
Supplements:
pcalg_1.1-5.tar.gz: R source package Download (Downloads: 798; 3MB)
v47i11.R: R example code from the paper Download (Downloads: 1020; 3KB)
DOI: 10.18637/jss.v047.i11

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.