causasv 0.8.9

Causal feature attribution via Asymmetric Shapley Values (ASV) over DAGs — Rust + Python
Documentation 
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cff-version: 1.2.0
title: causasv
message: "If you use this software, please cite it as below."
type: software
authors:
  - alias: kent-tokyo
    name: kent-tokyo
version: 0.8.9
url: "https://github.com/kent-tokyo/causasv"
license: "MIT OR Apache-2.0"
references:
  - type: article
    title: "Beyond Shapley: Efficient Computation of Asymmetric Shapley Values"
    notes: "The paper that inspired this library"
  - type: article
    title: "Estimate Collapsibility of Causal Effects in Completed Partial DAGs via Strong d-Convex Hulls"
    authors:
      - given-names: Yuxin
        family-names: Deng
      - given-names: Yi
        family-names: Sun
      - given-names: Zhiming
        family-names: Li
      - given-names: Huaxiong
        family-names: Liu
    year: 2026
    doi: "10.48550/arXiv.2606.08941"
    url: "https://arxiv.org/abs/2606.08941"
    license: "CC-BY-4.0"
    notes: "Theoretical basis for the strong d-convex hull graph-reduction feature (src/d_convex.rs); independent implementation, not affiliated with or endorsed by the authors"