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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".

Versions across snapshots

VersionRepositoryFileSize
1.1.2 rolling linux/jammy R-4.5 OrdCD_1.1.2.tar.gz 44.6 KiB
1.1.2 rolling linux/noble R-4.5 OrdCD_1.1.2.tar.gz 44.5 KiB
1.1.2 rolling source/ R- OrdCD_1.1.2.tar.gz 7.9 KiB
1.1.2 latest linux/jammy R-4.5 OrdCD_1.1.2.tar.gz 44.6 KiB
1.1.2 latest linux/noble R-4.5 OrdCD_1.1.2.tar.gz 44.5 KiB
1.1.2 latest source/ R- OrdCD_1.1.2.tar.gz 7.9 KiB
1.1.2 2026-04-26 source/ R- OrdCD_1.1.2.tar.gz 7.9 KiB
1.1.2 2026-04-23 source/ R- OrdCD_1.1.2.tar.gz 7.9 KiB
1.1.2 2026-04-09 windows/windows R-4.5 OrdCD_1.1.2.zip 46.9 KiB
1.1.2 2025-04-20 source/ R- OrdCD_1.1.2.tar.gz 7.9 KiB

Dependencies (latest)

Imports