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cna: Causal Modeling with Coincidence Analysis

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: 3.6.2
Depends: R (≥ 4.1.0)
Imports: Rcpp, utils, stats, Matrix, matrixStats, car
LinkingTo: Rcpp
Suggests: dplyr, frscore, causalHyperGraph
Published: 2024-07-05
DOI: 10.32614/CRAN.package.cna
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
In views: CausalInference
CRAN checks: cna results

Documentation:

Reference manual: cna.pdf
Vignettes: Introduction to the CNA method and package

Downloads:

Package source: cna_3.6.2.tar.gz
Windows binaries: r-devel: cna_3.6.2.zip, r-release: cna_3.6.2.zip, r-oldrel: cna_3.6.2.zip
macOS binaries: r-release (arm64): cna_3.6.2.tgz, r-oldrel (arm64): cna_3.6.2.tgz, r-release (x86_64): cna_3.6.2.tgz, r-oldrel (x86_64): cna_3.6.2.tgz
Old sources: cna archive

Reverse dependencies:

Reverse depends: cnaOpt, frscore
Reverse imports: causalHyperGraph

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cna to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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