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) "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 NeedsCompilation: no Packaged: 2022-09-27 14:00:47 UTC; yangn Author: Yang Ni [aut, cre] () Maintainer: Yang Ni Depends: R (>= 3.5.0) Repository: CRAN Date/Publication: 2022-09-29 08:40:12 UTC