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COLP: Causal Discovery for Categorical Data with Label Permutation
Discover causality for bivariate categorical data. This package aims to enable users to discover causality for bivariate observational categorical data. See Ni, Y. (2022) <arXiv:2209.08579> "Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. Advances in Neural Information Processing Systems 35 (in press)".
Getting started
Browse package contents
Package details |
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| Author | Yang Ni [aut, cre] (<https://orcid.org/0000-0003-0636-2363>) |
| Maintainer | Yang Ni <yni@stat.tamu.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/nySTAT/COLP |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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