OrdCD: Ordinal Causal Discovery

Algorithms for ordinal causal discovery. This package aims to enable users to discover causality for observational ordinal categorical data with greedy and exhaustive search. See Ni, Y., & Mallick, B. (2022) <https://proceedings.mlr.press/v180/ni22a/ni22a.pdf> "Ordinal Causal Discovery. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, (UAI 2022), PMLR 180:1530–1540".

Getting started

Package details

AuthorYang Ni [aut, cre] (<https://orcid.org/0000-0003-0636-2363>)
MaintainerYang Ni <yni@stat.tamu.edu>
LicenseMIT + file LICENSE
URL https://github.com/nySTAT/OrdCD
Package repositoryView on CRAN
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OrdCD documentation built on May 31, 2023, 9:23 p.m.