Causal Inference Using Graphical Models with the<i>R</i>Package<b>pcalg</b>
Markus Kalisch(ETH Zurich), Martin Mächler(ETH Zurich), Diego Colombo, Marloes H. Maathuis(ETH Zurich), Peter Bühlmann(ETH Zurich)
Cited by 538Open Access
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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