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: 2024-03-24 02:47:21 UTC; sourav
Author: Sourav Chatterjee [aut, cre] (<https://orcid.org/0000-0003-4460-209X>)
Repository: CRAN
Date/Publication: 2024-03-25 19:10:12 UTC
Built: R 4.6.0; ; 2026-04-27 19:20:42 UTC; unix
