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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.
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Package details |
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| Author | Sourav Chatterjee [aut, cre] (<https://orcid.org/0000-0003-4460-209X>) |
| Maintainer | Sourav Chatterjee <souravc@stanford.edu> |
| License | MIT + file LICENSE |
| Version | 0.0.1 |
| Package repository | View on CRAN |
| Installation |
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