COLP

cranv1.0.0

Causal Discovery for Categorical Data with Label Permutation. Discover causality for bivariate categorical data. This package aims to enable users to discover causality for bivariate observational categorical data. See Ni, Y. (2022) <arXiv:2209.08579> "Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. Advances i

License MIT + file LICENSE0 versions1 maintainers3 deps57 weekly dl
nySTAT/COLP
36
/ 100
Health
use with caution

[email protected] low health (36/100) — consider alternatives

  • Low health score (36/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known
⚠ Possible typosquat
Name is close to a popular package. Targets:
cli (close_name dist 2)coda (adjacent_swap_or_double dist 2)covr (adjacent_swap_or_double dist 2)

Health History

Dependency Tree

License Audit

Dependencies (3)
MASScombinatstats
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/COLP

First published · 2022-09-29 09:32:33

Last updated · 2022-09-29T07:40:12+00:00