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 (2018) <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.
| Version: | 3.0.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Rcpp, utils, stats, Matrix, matrixStats, car |
| LinkingTo: | Rcpp |
| Suggests: | dplyr |
| Published: | 2020-09-13 |
| 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 |
| CRAN checks: | cna results |
| Reference manual: | cna.pdf |
| Vignettes: |
Introduction to the CNA method and package |
| Package source: | cna_3.0.0.tar.gz |
| Windows binaries: | r-devel: cna_3.0.0.zip, r-release: cna_3.0.0.zip, r-oldrel: cna_3.0.0.zip |
| macOS binaries: | r-release: cna_3.0.0.tgz, r-oldrel: cna_3.0.0.tgz |
| Old sources: | cna archive |
| Reverse depends: | cnaOpt |
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