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cia  

Learn and Apply Directed Acyclic Graphs for Causal Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cia", "1.0.0")



Attach the package and use:
library("cia")
Maintained by
Mathew Varidel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-13
Latest Update: 2024-11-13
Description:
Causal Inference Assistance (CIA) for performing causal inference within the structural causal modelling framework. Structure learning is performed using partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several additional functions have been added to help with causal inference. Kuipers and Moffa (2017) <doi:10.1080/01621459.2015.1133426>.
How to cite:
Mathew Varidel (2024). cia: Learn and Apply Directed Acyclic Graphs for Causal Inference. R package version 1.0.0, https://cran.r-project.org/web/packages/cia. Accessed 29 Jul. 2026.
Previous versions and publish date:
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Other packages that cited cia R package
View cia citation profile
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Complete documentation for cia
Functions, R codes and Examples using the cia R package
Full cia package functions and examples
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