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Author:
None
License:
MIT
Summary:
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 models.
Latest version:
0.1.0
Required dependencies:
linearmodels
|
matplotlib
|
numpy
|
pandas
|
scikit-learn
|
scipy
|
shap
|
statsmodels
|
tabulate
|
xgboost
Optional dependencies:
pytest
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