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 <arXiv:2205.06131>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Suggests: | knitr, rmarkdown, markdown, igraph |
| Published: | 2022-05-26 |
| Author: | Chainarong Amornbunchornvej
 [aut, cre] |
| Maintainer: | Chainarong Amornbunchornvej <grandca at gmail.com> |
| BugReports: | https://github.com/DarkEyes/BiCausality/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/DarkEyes/BiCausality |
| NeedsCompilation: | no |
| Citation: | BiCausality citation info |
| Materials: | README NEWS |
| CRAN checks: | BiCausality results |
Documentation:
| Reference manual: | BiCausality.pdf |
| Vignettes: |
BiCausality_demo |
Downloads:
| Package source: | BiCausality_0.1.1.tar.gz |
| Windows binaries: | r-devel: BiCausality_0.1.1.zip, r-release: BiCausality_0.1.1.zip, r-oldrel: BiCausality_0.1.1.zip |
| macOS binaries: | r-release (arm64): BiCausality_0.1.1.tgz, r-oldrel (arm64): BiCausality_0.1.1.tgz, r-release (x86_64): BiCausality_0.1.1.tgz, r-oldrel (x86_64): BiCausality_0.1.1.tgz |
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