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BiCausality  

Binary Causality Inference Framework
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BiCausality", "0.1.4")



Attach the package and use:
library("BiCausality")
Maintained by
Chainarong Amornbunchornvej
[Scholar Profile | Author Map]
First Published: 2022-05-26
Latest Update: 2023-05-22
Description:
A framework to infer causality on binary data using techniques in frequent pattern mining and estimation statistics. Given a set of individual vectors S={x} where x(i) is a realization value of binary variable i, the framework infers empirical causal relations of binary variables i,j from S in a form of causal graph G=(V,E) where V is a set of nodes representing binary variables and there is an edge from i to j in E if the variable i causes j. The framework determines dependency among variables as well as analyzing confounding factors before deciding whether i causes j. The publication of this package is at Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong (2023) .
How to cite:
Chainarong Amornbunchornvej (2022). BiCausality: Binary Causality Inference Framework. R package version 0.1.4, https://cran.r-project.org/web/packages/BiCausality. Accessed 03 Apr. 2025.
Previous versions and publish date:
0.1.1 (2022-05-26 15:30), 0.1.2 (2022-08-19 16:40), 0.1.3 (2023-05-22 13:50)
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Complete documentation for BiCausality
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