statsmodels
https://github.com/statsmodels/statsmodels
Python
Statsmodels: statistical modeling and econometrics in Python
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- Issues
- Documentation and Implementation Differ for Deviance in Logistic Regression
- ENH: influence - deletion of multiple observations, leave one group out
- ENH/Design: Mixin, Subclasses for censoring, truncation, ....
- ENH: `predict(which="_dargs")` private which values for internal use.
- ENH: multinomial/categorical with different exog in choices, example 0-1 inflated beta
- ENH: API: results method `residuals` as `get_resid` with options
- SUMM/TST missing unit tests for GLM Probit
- ENH: analogue to cooks distance for linear combinations.
- TST: TestMICE.test_combine, test_corrpsd_threshold[0], test_mixedlm failing on Debian unstable
- ENH: CountDiagnostic: add plot, get_diagnostic to CountModel
- Docs
- Python not yet supported