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BiCausality
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BiCausality . https://github.com/DarkEyes/BiCausality/issues . https://github.com/DarkEyes/BiCausality . BiCausality citation info . BiCausality results . BiCausality.pdf . BiCausality_demo . BiCausality_0.1.4.tar.gz . BiCausality_0.1.4.zip . BiCausality_0.1.4.zip . BiCausality_0.1.4.zip . BiCausality_0.1.4.tgz . BiCausality_0.1.4.tgz . BiCausality_0.1.4.tgz . BiCausality_0.1.4.tgz . BiCausality_0.1.4.tgz . BiCausality_0.1.4.tgz . BiCausality archive . https://CRAN.R-project.org/package=BiCausality .
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:
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Other R packages that BiCausality depends,
imports, suggests or enhances
Complete documentation for BiCausality
Functions, R codes and Examples using
the BiCausality R package
Some associated functions: CausalGraphInferMainFunc . CondProb . D . VecAlignment . adjustmentProb . assocSignTest . bIndpTest . bSCMCausalGraphFunc . bSCMDepndentGraphFastFunc . bSCMDepndentGraphFunc . bSCMdeConfoundingGraphFunc . bin2dec . comparePredAdjMatrix2TrueAdjMat . confNetFunc . getReachableNodes . getTransitiveClosureMat . indpFunc . mat . num2Bits . oddDiffFunc . oddRatioFunc . resC . supp .
Some associated R codes: CausalGraphInferMainFunc.R . CondProb.R . VecAlignment.R . adjustmentProb.R . assocSignTest.R . bIndpTest.R . bSCMCausalGraphFunc.R . bSCMDepndentGraphFastFunc.R . bSCMDepndentGraphFunc.R . bSCMdeConfoundingGraphFunc.R . comparePredAdjMatrix2TrueAdjMat.R . confNetFunc.R . data.R . getReachableNodes.R . indpFunc.R . oddRatioFunc.R . supp.R . Full BiCausality package functions and examples
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