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) <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.
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 <mathias.ambuehl@consultag.ch>
Author: Mathias Ambuehl [aut, cre, cph],
  Michael Baumgartner [aut, cph],
  Ruedi Epple [ctb],
  Veli-Pekka Parkkinen [ctb],
  Alrik Thiem [ctb]
Packaged: 2025-06-02 05:28:52 UTC; MAM
Repository: CRAN
Date/Publication: 2025-06-02 06:30:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-06-24 05:39:10 UTC; windows
Archs: x64
