Package: BiCausality 0.1.4

BiCausality: Binary Causality Inference Framework

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>.

Authors:Chainarong Amornbunchornvej [aut, cre]

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BiCausality/json (API)
NEWS

# Install 'BiCausality' in R:
install.packages('BiCausality', repos = c('https://darkeyes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/darkeyes/bicausality/issues

Datasets:
  • D - An example of aligned list of transactions
  • mat - A simulation dataset
  • resC - An example of causal inference result

On CRAN:

Conda:

binary-variablecausal-inferenceestimation-statisticsexploratory-data-analysisfrequent-pattern-mining

3.00 score 2 stars 4 scripts 298 downloads 20 exports 0 dependencies

Last updated 1 years agofrom:3a88426a3f. Checks:2 OK, 1 NOTE, 6 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winWARNINGMar 05 2025
R-4.5-macWARNINGMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winWARNINGMar 05 2025
R-4.4-macWARNINGMar 05 2025
R-4.4-linuxNOTEMar 05 2025
R-4.3-winWARNINGMar 05 2025
R-4.3-macWARNINGMar 05 2025

Exports:adjustmentProbassocSignTestbin2decbIndpTestbSCMCausalGraphFuncbSCMdeConfoundingGraphFuncbSCMDepndentGraphFastFuncbSCMDepndentGraphFuncCausalGraphInferMainFunccomparePredAdjMatrix2TrueAdjMatCondProbconfNetFuncgetReachableNodesgetTransitiveClosureMatindpFuncnum2BitsoddDiffFuncoddRatioFuncsuppVecAlignment

Dependencies: