Causal Inference Using Graphical Models with theRPackagepcalg
نویسندگان
چکیده
منابع مشابه
Causal Inference using Graphical Models with the R Package pcalg
The pcalg package for R (R Development Core Team (2010)) 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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The pcalg package for R (R Development Core Team 2014) can be used for the following two purposes: Causal structure learning and estimation of causal effects from observational and/or interventional data. In this document, we give a brief overview of the methodology, and demonstrate the package’s functionality in both toy examples and applications. This vignette is an updated and extended (FCI,...
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March 19, 2015 Version 2.0-10 Date 2015-03-18 Author Diego Colombo, Alain Hauser, Markus Kalisch, Martin Maechler Maintainer Markus Kalisch Title Methods for Graphical Models and Causal Inference Description Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational ...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2012
ISSN: 1548-7660
DOI: 10.18637/jss.v047.i11