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ciflyr  

Reachability-Based Primitives for Graphical Causal Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ciflyr", "0.1.2")



Attach the package and use:
library("ciflyr")
Maintained by
Marcel Wienöbst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-03
Latest Update: 2025-07-03
Description:
Provides a framework for specifying and running flexible linear-time reachability-based algorithms for graphical causal inference. Rule tables are used to encode and customize the reachability algorithm to typical causal and probabilistic reasoning tasks such as finding d-connected nodes or more advanced applications. For more information, see Wienöbst, Weichwald and Henckel (2025) <doi:10.48550/arXiv.2506.15758>.
How to cite:
Marcel Wienöbst (2025). ciflyr: Reachability-Based Primitives for Graphical Causal Inference. R package version 0.1.2, https://cran.r-project.org/web/packages/ciflyr. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.1 (2025-07-03 15:20)
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Complete documentation for ciflyr
Functions, R codes and Examples using the ciflyr R package
Full ciflyr package functions and examples
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