| Authors: | Markus Kalisch, Martin Mächler, Diego Colombo, Marloes H. Maathuis, Peter Bühlmann |
| Title: | [download] (1046)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] (1046)Causal Inference Using Graphical Models with the R Package pcalg (application/pdf, 588.5 KB) |
| Supplements: | [download] (196)pcalg_1.1-5.tar.gz: R source package (application/x-gzip, 3.2 MB) |
| [download] (202)v47i11.R: R example code from the paper (application/octet-stream, 3.8 KB) |
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| Resources: | BibTeX | OAI |
