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cna  

Causal Modeling with Coincidence Analysis
View on CRAN: Click here


Download and install cna package within the R console
Install from CRAN:
install.packages("cna")

Install from Github:
library("remotes")
install_github("cran/cna")

Install by package version:
library("remotes")
install_version("cna", "3.6.2")



Attach the package and use:
library("cna")
Maintained by
Mathias Ambuehl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-12
Latest Update: 2023-12-21
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) , and generalized in Baumgartner & Ambuehl (2018) . 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.
How to cite:
Mathias Ambuehl (2014). cna: Causal Modeling with Coincidence Analysis. R package version 3.6.2, https://cran.r-project.org/web/packages/cna. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1-3 (2014-05-12 18:19), 1.0-0 (2014-10-01 17:32), 1.0-1 (2014-12-12 21:32), 1.0-2 (2015-01-03 16:22), 1.0-3 (2015-04-18 08:56), 2.0.0 (2017-04-18 14:52), 2.1.0 (2018-06-01 14:30), 2.1.1 (2018-06-13 12:02), 2.2.0 (2019-04-14 00:42), 2.2.1 (2019-09-08 20:00), 2.2.2 (2019-12-06 16:30), 2.2.3 (2020-05-13 20:20), 3.0.0 (2020-09-13 15:10), 3.0.1 (2020-11-06 12:10), 3.1.0 (2021-05-28 18:40), 3.2.0 (2021-06-14 17:00), 3.3.0 (2021-12-17 15:30), 3.4.0 (2022-07-08 14:00), 3.5.0 (2023-02-17 23:20), 3.5.1 (2023-03-09 17:50), 3.5.4 (2023-08-10 20:00), 3.5.6 (2023-12-21 10:20), 3.6.0 (2024-06-07 17:40), 3.6.1 (2024-06-28 10:30)
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