Binary Causality Inference Framework R package BiCausality version 0.1.4 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) <doi:10.1016/j.heliyon.2023.e15947>. Software Depends: R (>= 3.5.0) Suggests: knitr, rmarkdown, markdown, igraph Chainarong Amornbunchornvej <grandca@gmail.com> Comprehensive R Archive Network (CRAN) Chainarong Amornbunchornvej [aut, cre] (ORCID: <https://orcid.org/0000-0003-3131-0370>) MIT + file LICENSE (https://CRAN.R-project.org/package=BiCausality/LICENSE) 2023-11-28 application/tgz https://CRAN.R-project.org/package=BiCausality doi:10.32614/CRAN.package.BiCausality