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COLP  

Causal Discovery for Categorical Data with Label Permutation
View on CRAN: Click here


Download and install COLP package within the R console
Install from CRAN:
install.packages("COLP")

Install from Github:
library("remotes")
install_github("cran/COLP")

Install by package version:
library("remotes")
install_version("COLP", "1.0.0")



Attach the package and use:
library("COLP")
Maintained by
Yang Ni
[Scholar Profile | Author Map]
First Published: 2022-09-29
Latest Update: 2022-09-29
Description:
Discover causality for bivariate categorical data. This package aims to enable users to discover causality for bivariate observational categorical data. See Ni, Y. (2022) "Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. Advances in Neural Information Processing Systems 35 (in press)".
How to cite:
Yang Ni (2022). COLP: Causal Discovery for Categorical Data with Label Permutation. R package version 1.0.0, https://cran.r-project.org/web/packages/COLP. Accessed 07 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited COLP R package
View COLP citation profile
Other R packages that COLP depends, imports, suggests or enhances
Complete documentation for COLP
Functions, R codes and Examples using the COLP R package
Some associated functions: COLP . CatPairs . 
Some associated R codes: CatPairs-data.R . functions.R .  Full COLP package functions and examples
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