Package: BiCausality
Title: Binary Causality Inference Framework
Version: 0.1.4
Authors@R: 
    person(given = "Chainarong",
           family = "Amornbunchornvej",
           role = c("aut", "cre"),
           email = "grandca@gmail.com",
           comment = c(ORCID = "0000-0003-3131-0370"))
Maintainer: Chainarong Amornbunchornvej <grandca@gmail.com>
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) <doi:10.1016/j.heliyon.2023.e15947>.
License: MIT + file LICENSE
URL: https://github.com/DarkEyes/BiCausality
BugReports: https://github.com/DarkEyes/BiCausality/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: TRUE
Roxygen: list(markdown = TRUE)
Suggests: knitr, rmarkdown, markdown, igraph
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Repository: https://darkeyes.r-universe.dev
Date/Publication: 2023-11-28 03:51:42 UTC
RemoteUrl: https://github.com/darkeyes/bicausality
RemoteRef: HEAD
RemoteSha: 3a88426a3fb673fef2169e83c78258cc8cf67059
NeedsCompilation: no
Packaged: 2026-06-21 07:37:58 UTC; root
Author: Chainarong Amornbunchornvej [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3131-0370>)