Package: PolyTree
Title: Estimate Causal Polytree from Data
Version: 0.0.1
Authors@R: person("Sourav", "Chatterjee", , "souravc@stanford.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4460-209X"))
Maintainer: Sourav Chatterjee <souravc@stanford.edu>
Description: Given a data matrix with rows representing data vectors
        and columns representing variables, produces a directed
        polytree for the underlying causal structure. Based on the
        algorithm developed in Chatterjee and Vidyasagar (2022)
        <arxiv:2209.07028>. The method is fully nonparametric, making
        no use of linearity assumptions, and especially useful when the
        number of variables is large.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.1
Imports: FOCI, igraph
NeedsCompilation: no
Packaged: 2026-10-03 07:30:11 UTC; root
Author: Sourav Chatterjee [aut, cre]
        (<https://orcid.org/0000-0003-4460-209X>)
Config/pak/sysreqs: libglpk-dev libgmp3-dev libxml2-dev
Repository: https://souravc1979.r-universe.dev
Date/Publication: 2024-03-26 02:33:12 UTC
RemoteUrl: https://github.com/cran/PolyTree
RemoteRef: HEAD
RemoteSha: 510890a7b9a8aa28984de079e24ff43cc4ce5e4c