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) <arxiv:2209.07028>. The method is fully nonparametric, making no use of linearity assumptions, and especially useful when the number of variables is large.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | PolyTree_0.0.1.tar.gz |
26.0 KiB |
0.0.1 |
rolling linux/noble R-4.5 | PolyTree_0.0.1.tar.gz |
26.0 KiB |
0.0.1 |
rolling source/ R- | PolyTree_0.0.1.tar.gz |
4.0 KiB |
0.0.1 |
latest linux/jammy R-4.5 | PolyTree_0.0.1.tar.gz |
26.0 KiB |
0.0.1 |
latest linux/noble R-4.5 | PolyTree_0.0.1.tar.gz |
26.0 KiB |
0.0.1 |
latest source/ R- | PolyTree_0.0.1.tar.gz |
4.0 KiB |
0.0.1 |
2026-04-26 source/ R- | PolyTree_0.0.1.tar.gz |
4.0 KiB |
0.0.1 |
2026-04-23 source/ R- | PolyTree_0.0.1.tar.gz |
4.0 KiB |
0.0.1 |
2026-04-09 windows/windows R-4.5 | PolyTree_0.0.1.zip |
29.0 KiB |
0.0.1 |
2025-04-20 source/ R- | PolyTree_0.0.1.tar.gz |
4.0 KiB |