Package: cna
Type: Package
Title: Causal Modeling with Coincidence Analysis
Version: 3.3.0
Date: 2021-12-17
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 (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.
License: GPL (>= 2)
URL: https://CRAN.R-project.org/package=cna
Depends: R (>= 3.5.0)
Imports: Rcpp, utils, stats, Matrix, matrixStats, car
LinkingTo: Rcpp
Suggests: dplyr
NeedsCompilation: yes
LazyData: yes
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>
Packaged: 2021-12-17 13:41:05 UTC; MAM
Author: Mathias Ambuehl [aut, cre, cph],
  Michael Baumgartner [aut, cph],
  Ruedi Epple [ctb],
  Veli-Pekka Parkkinen [ctb],
  Alrik Thiem [ctb]
Repository: CRAN
Date/Publication: 2021-12-17 14:30:02 UTC
Built: R 4.2.0; x86_64-conda-linux-gnu; 2022-06-22 10:07:36 UTC; unix
