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.
|Depends:||R (≥ 3.2.0)|
|Imports:||Rcpp, utils, stats|
|Author:||Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Alrik Thiem [ctb]|
|Maintainer:||Mathias Ambuehl <mathias.ambuehl at consultag.ch>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||cna results|
|Windows binaries:||r-devel: cna_2.0.0.zip, r-release: cna_2.0.0.zip, r-oldrel: cna_2.0.0.zip|
|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|
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