COLP is an R package (available on CRAN) for discovering causality from observational categorical data, developed and maintained by Yang Ni at Texas A&M University.

The package can also be downloaded at https://web.stat.tamu.edu/~yni/files/COLP_1.0.0.tar.gz.

Reference:

Ni, Y. (2022). Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation Advances in Neural Information Processing Systems (NeurIPS) 35.

A simple example

This example considers a real bivariate categorical data.

fit = COLP(CatPairs[[1]][[1]]$Diffwt,CatPairs[[1]][[1]]$Treat,algo="E")
fit$cd