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:	3.5.6
Depends:	R (≥ 3.5.0)
Imports:	Rcpp, utils, stats, Matrix, matrixStats, car
LinkingTo:	Rcpp
Suggests:	dplyr
Published:	2023-12-21
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_3.5.6.tar.gz
Windows binaries:	r-devel: cna_3.5.6.zip, r-release: cna_3.5.6.zip, r-oldrel: cna_3.5.6.zip
macOS binaries:	r-release (arm64): cna_3.5.6.tgz, r-oldrel (arm64): cna_3.5.6.tgz, r-release (x86_64): cna_3.5.6.tgz, r-oldrel (x86_64): cna_3.5.6.tgz
Old sources:	cna archive

Reverse dependencies:

Reverse depends:	cnaOpt, frscore
Reverse imports:	causalHyperGraph

Linking:

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