chainladder-python
https://github.com/casact/chainladder-python
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- Issues
- [RUFF] Add ruff rule D401
- [FEAT] Record the seed each random draw used, and handle random_state=0 and RandomState instances as documented
- [FEAT] Check estimator parameter values before fit, including estimators loaded with read_json
- [FIX] Guard zero case reserve
- [FEAT] cross-reference datasets with papers
- [FEAT] Support CaseOutstanding medial averages
- [FEAT] Hurlimann Credible Loss Ratio estimator
- [DOCS] Add Hurlimann verification notebook.
- [FEAT] One-year claims development result (Merz–Wüthrich) for MackChainladder
- [FEAT] Pass minimizer_kwargs from ClarkLDF to scipy.optimize.minimize
- Docs
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