cna: Causal Modeling with Coincidence Analysis

Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>. CNA is related to Qualitative Comparative Analysis (QCA), but contrary to the latter, it is custom-built for uncovering causal structures with multiple outcomes. While previous versions have only been capable of processing dichotomous variables, the current version generalizes CNA for multi-value and continuous variables whose values are interpreted as membership scores in fuzzy sets.

Version: 2.0.0
Depends: R (≥ 3.2.0)
Imports: Rcpp, utils, stats
LinkingTo: Rcpp
Published: 2017-04-18
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: cna results


Reference manual: cna.pdf
Package source: cna_2.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: cna_2.0.0.tgz
OS X Mavericks binaries: r-oldrel: cna_2.0.0.tgz
Old sources: cna archive


Please use the canonical form to link to this page.