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PolyTree

Estimate Causal Polytree from Data

v0.0.1 · Mar 25, 2024 · MIT + file LICENSE

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.

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CRAN incoming feasibility

Maintainer: ‘Sourav Chatterjee <souravc@stanford.edu>’

The Description field contains
  Vidyasagar (2022) <arxiv:2209.07028>. The method is fully
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Sourav Chatterjee <souravc@stanford.edu>’

The Description field contains
  Vidyasagar (2022) <arxiv:2209.07028>. The method is fully
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Sourav Chatterjee <souravc@stanford.edu>’

The Description field contains
  Vidyasagar (2022) <arxiv:2209.07028>. The method is fully
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Sourav Chatterjee <souravc@stanford.edu>’

The Description field contains
  Vidyasagar (2022) <arxiv:2209.07028>. The method is fully
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Dependency Network

Dependencies Reverse dependencies FOCI igraph PolyTree

Version History

1 tracked
new 0.0.1 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Mar 25, 2024. Releases before tracking aren’t shown.