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Explainable AI for panel time-series econometrics: structured (variable x lag x unit x time) SHAP, factor / cross-sectional-dependence-aware attribution, regime-aware explanation drift, constrained counterfactuals, bootstrap uncertainty, and hybrid econometric-core + ML-residual
pip install panelxai
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22>=1.5>=1.9>=1.1>=0.13>=3.5>=0.41>=1.6>=4.27>=0.9panelxai publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .