Package: OrdCD 1.1.2

Yang Ni

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".

Authors:Yang Ni [aut, cre]

OrdCD_1.1.2.tar.gz
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OrdCD_1.1.2.tgz(r-4.4-any)OrdCD_1.1.2.tgz(r-4.3-any)
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OrdCD.pdf |OrdCD.html✨
OrdCD/json (API)

# Install 'OrdCD' in R:

install.packages('OrdCD', repos = c('https://nystat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nystat/ordcd/issues

On CRAN:

1 exports 0.62 score 17 dependencies 171 downloads

Last updated 1 years agofrom:8b60809871. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 05 2024
R-4.5-win	OK	Sep 05 2024
R-4.5-linux	OK	Sep 05 2024
R-4.4-win	OK	Sep 05 2024
R-4.4-mac	OK	Sep 05 2024
R-4.3-win	OK	Jul 07 2024
R-4.3-mac	OK	Jul 07 2024