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Causal Inference Using Graphical Models with the R Package pcalg

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  • Kalisch, Markus
  • Mächler, Martin
  • Colombo, Diego
  • Maathuis, Marloes H.
  • Bühlmann, Peter

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.

Suggested Citation

  • Kalisch, Markus & Mächler, Martin & Colombo, Diego & Maathuis, Marloes H. & Bühlmann, Peter, 2012. "Causal Inference Using Graphical Models with the R Package pcalg," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i11).
    • Handle: RePEc:jss:jstsof:v:047:i11
    DOI: http://hdl.handle.net/10.18637/jss.v047.i11
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    References listed on IDEAS

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    1. Højsgaard, Søren & Lauritzen, Steffen L., 2007. "Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i06).
    2. Dethlefsen, Claus & Højsgaard, Søren, 2005. "A Common Platform for Graphical Models in R: The gRbase Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i17).
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