Other packages > Find by keyword >

BiCausality  

Binary Causality Inference Framework
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]
All associated links for this package
First Published: 2022-05-26
Latest Update: 2023-11-28
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 05 Aug. 2026.
Previous versions and publish date:
0.1.1 (2022-05-26 15:30), 0.1.2 (2022-08-19 16:40), 0.1.3 (2023-05-22 13:50), (2026-07-09 07:58)
Other packages that cited BiCausality R package
View BiCausality citation profile
Other R packages that BiCausality depends, imports, suggests or enhances
Complete documentation for BiCausality
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA