The R Journal: article published in 2015, volume 7:1

Identifying Complex Causal Dependencies in Configurational Data with Coincidence Analysis
Michael Baumgartner and Alrik Thiem , The R Journal (2015) 7:1, pages 176-184.

Abstract We present cna, a package for performing Coincidence Analysis (CNA). CNA is a config urational 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.

Received: 2014-12-17; online 2015-03-30
CRAN packages: QCA, SetMethods, cna

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2015-014,
  author = {Michael Baumgartner and Alrik Thiem},
  title = {{Identifying Complex Causal Dependencies in Configurational
          Data with Coincidence Analysis}},
  year = {2015},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2015-014},
  url = {https://doi.org/10.32614/RJ-2015-014},
  pages = {176--184},
  volume = {7},
  number = {1}
}