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>, and generalized in Baumgartner & Ambuehl (2020) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures. Moreover, as of version 4.0, it is the only method of its kind that provides measures for model evaluation and selection that are custom-made for the problem of INUS-discovery.
Version: 4.0.3 Depends: R (≥ 4.1.0) Imports: Rcpp, utils, stats, Matrix, matrixStats, car LinkingTo: Rcpp Suggests: dplyr, frscore, causalHyperGraph Published: 2025-06-02 DOI: 10.32614/CRAN.package.cna Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb] Maintainer: Mathias Ambuehl <mathias.ambuehl at consultag.ch> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://CRAN.R-project.org/package=cna NeedsCompilation: yes Materials: NEWS In views: CausalInference CRAN checks: cna results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=cna to link to this page.
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