Statistics, Department of
The R Journal
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Date of this Version
6-2015
Document Type
Article
Citation
The R Journal (June 2015) 7(1); Editor: Bettina Grün
Abstract
We present cna, a package for performing Coincidence Analysis (CNA). CNA is a configurational comparative method for the identification of complex causal dependencies—in particular, causal chains and common cause structures—in configurational data. After a brief introduction to the method’s theoretical background and main algorithmic ideas, we demonstrate the use of the package by means of an artificial and a real-life data set. Moreover, we outline planned enhancements of the package that will further increase its applicability.
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2015, The R Foundation. Open access material. License: CC BY 3.0 Unported