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) "Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. Advances in Neural Information Processing Systems 35 (in press)".


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("COLP")

1.0.0 by Yang Ni, 4 years ago


https://github.com/nySTAT/COLP


Report a bug at https://github.com/nySTAT/COLP/issues


Browse source code at https://github.com/cran/COLP


Authors: Yang Ni [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports MASS, combinat, stats


See at CRAN