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
OrdCD_1.1.2.zip(r-4.5)OrdCD_1.1.2.zip(r-4.4)
OrdCD_1.1.2.tgz(r-4.4-any)
OrdCD_1.1.2.tar.gz(r-4.5-noble)OrdCD_1.1.2.tar.gz(r-4.4-noble)
OrdCD_1.1.2.tgz(r-4.4-emscripten)
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'))

Peer review:

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

On CRAN:

2.70 score 182 downloads 1 exports 17 dependencies

Last updated 2 years agofrom:8b60809871. Checks:OK: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-winOKNov 18 2024
R-4.5-linuxOKNov 18 2024
R-4.4-winOKNov 18 2024
R-4.4-macOKNov 18 2024

Exports:OrdCD

Dependencies:bnlearnclicpp11gluegRbaseigraphlatticelifecyclemagrittrMASSMatrixpkgconfigRcppRcppArmadilloRcppEigenrlangvctrs