Package: cna Type: Package Title: Causal Modeling with Coincidence Analysis Version: 4.0.3 Date: 2025-06-02 Authors@R: c(person("Mathias", "Ambuehl", role = c("aut", "cre", "cph"), email = "mathias.ambuehl@consultag.ch"), person("Michael", "Baumgartner", role = c("aut", "cph"), email = "michael.baumgartner@uib.no"), person("Ruedi", "Epple", role = "ctb"), person("Veli-Pekka", "Parkkinen", role = "ctb"), person("Alrik", "Thiem", role = "ctb") ) Description: 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) , and generalized in Baumgartner & Ambuehl (2020) . 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. License: GPL (>= 2) URL: https://CRAN.R-project.org/package=cna Depends: R (>= 4.1.0) Imports: Rcpp, utils, stats, Matrix, matrixStats, car LinkingTo: Rcpp Suggests: dplyr, frscore, causalHyperGraph NeedsCompilation: yes LazyData: yes Maintainer: Mathias Ambuehl Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb] Packaged: 2026-06-24 11:05:46 UTC; root Config/pak/sysreqs: cmake make libicu-dev Repository: https://mathiasambuehl.r-universe.dev Date/Publication: 2025-06-02 06:30:02 UTC RemoteUrl: https://github.com/cran/cna RemoteRef: HEAD RemoteSha: 96968ff47aed0546798b136730b67757dd33db33