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-4.7)OrdCD_1.1.2.zip(r-4.6)OrdCD_1.1.2.zip(r-4.5)
OrdCD_1.1.2.tgz(r-4.6-any)OrdCD_1.1.2.tgz(r-4.5-any)
OrdCD_1.1.2.tar.gz(r-4.7-any)OrdCD_1.1.2.tar.gz(r-4.6-any)
OrdCD_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

2.70 score 1 stars 203 downloads 1 exports 17 dependencies

Last updated from:8b60809871. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	107
source / vignettes	OK	163
linux-release-x86_64	OK	110
macos-release-arm64	OK	76
macos-oldrel-arm64	OK	98
windows-devel	OK	100
windows-release	OK	78
windows-oldrel	OK	60
wasm-release	OK	102