Causal Inference Using Graphical Models with the R Package pcalg

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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Bibliographic Details
Published in:Journal of statistical software 2012, Vol.47 (11)
Main Authors: Kalisch, Markus, Mächler, Martin, Colombo, Diego, Maathuis, Marloes H., Bühlmann, Peter
Format: Article
Language:English
Subjects:
causality
do-calculus
FCI
graphical model
IDA
RFCI
Citations: Items that cite this one
Online Access:Get full text
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Description
Summary: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.
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v047.i11