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COLP (version 1.0.0)

Causal Discovery for Categorical Data with Label Permutation

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)".

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Install

install.packages('COLP')

Monthly Downloads

150

Version

1.0.0

License

MIT + file LICENSE

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Maintainer

Yang Ni

Last Published

September 29th, 2022

Functions in COLP (1.0.0)

CatPairs

Categorical Cause-Effect Pairs
COLP

Causal Discovery for Bivariate Cateogrical Data