Causal Modeling with Coincidence Analysis R package cna version 4.0.3 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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. Software Depends: R (>= 4.1.0) Imports: Rcpp, utils, stats, Matrix, matrixStats, car LinkingTo: Rcpp Suggests: dplyr, frscore, causalHyperGraph Mathias Ambuehl <mathias.ambuehl@consultag.ch> Comprehensive R Archive Network (CRAN) Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb] GPL (>= 2) 2025-06-02 application/tgz https://CRAN.R-project.org/package=cna doi:10.32614/CRAN.package.cna