PolyTree: Estimate Causal Polytree from Data

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) <doi:10.48550/arXiv.2209.07028>. The method is fully nonparametric, making no use of linearity assumptions, and especially useful when the number of variables is large.

Version:	0.0.1
Imports:	FOCI, igraph
Published:	2024-03-25
DOI:	10.32614/CRAN.package.PolyTree
Author:	Sourav Chatterjee [aut, cre]
Maintainer:	Sourav Chatterjee <souravc at stanford.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	PolyTree citation info
CRAN checks:	PolyTree results

Documentation:

Reference manual:

PolyTree.pdf

Downloads:

Package source:	PolyTree_0.0.1.tar.gz
Windows binaries:	r-devel: PolyTree_0.0.1.zip, r-release: PolyTree_0.0.1.zip, r-oldrel: PolyTree_0.0.1.zip
macOS binaries:	r-release (arm64): PolyTree_0.0.1.tgz, r-oldrel (arm64): PolyTree_0.0.1.tgz, r-release (x86_64): PolyTree_0.0.1.tgz, r-oldrel (x86_64): PolyTree_0.0.1.tgz

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