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cff-version: 1.2.0
message: 'To cite package "cna" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'cna: Causal Modeling with Coincidence Analysis'
version: 3.6.2
doi: 10.32614/CRAN.package.cna
abstract: 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) <https://doi.org/10.1177/0049124109339369>,
  and generalized in Baumgartner & Ambuehl (2018) <https://doi.org/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.
authors:
- family-names: Ambuehl
  given-names: Mathias
  email: mathias.ambuehl@consultag.ch
- family-names: Baumgartner
  given-names: Michael
  email: michael.baumgartner@uib.no
repository: https://CRAN.R-project.org/package=cna
url: https://CRAN.R-project.org/package=cna
date-released: '2024-07-05'
contact:
- family-names: Ambuehl
  given-names: Mathias
  email: mathias.ambuehl@consultag.ch