Package: COLP
Type: Package
Title: Causal Discovery for Categorical Data with Label Permutation
Version: 1.0.0
Date: 2022-09-23
Authors@R: person(given = "Yang", family = "Ni", email = "yni@stat.tamu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0636-2363"))
Description: 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 in Neural Information Processing Systems 35 (in
        press)".
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: MASS, combinat, stats
URL: https://github.com/nySTAT/COLP
BugReports: https://github.com/nySTAT/COLP/issues
Repository: https://nystat.r-universe.dev
Date/Publication: 2022-10-04 15:42:22 UTC
RemoteUrl: https://github.com/nystat/colp
RemoteRef: HEAD
RemoteSha: 3bd5f55bef258d40a7a04ba83055725fcf18c6d8
NeedsCompilation: no
Packaged: 2026-10-14 09:58:50 UTC; root
Author: Yang Ni [aut, cre] (ORCID: <https://orcid.org/0000-0003-0636-2363>)
Maintainer: Yang Ni <yni@stat.tamu.edu>
Depends: R (>= 3.5.0)