Related Issues (20)
- Failing Jobs for Python 3.6. HOT 1
- [Bug]: KeyError in DoubleMLPLIV.fit() with multiple instruments and store_predictions=True HOT 1
- [Bug]: RMSE calculation and nuisance evaluation for IRM models does not account for conditional observations
- [Feature Request]: Add Clustering for non-linear DML models HOT 1
- [Feature Request]: Panel data and individual effect control HOT 7
- CATE with continuous treatment and categorical outcome HOT 5
- [Bug]: Multi-treatment data creation bug HOT 2
- [Feature Request]: Request for individual scores from IRM model HOT 2
- [Feature Request]: Expose last stage score function estimation HOT 4
- [Feature Request]: Add Weights to IRM Model for Policy Evaluation HOT 3
- [Bug]: type casting outcome_variable and treatment_variable(s) HOT 1
- Add support for binary outcome in PLR
- [Bug]: HOT 2
- [Feature Request]: Support for multiple discrete treatments in `doubleml.DoubleMLIRM` HOT 3
- [Feature Request]: DoubleMPLR weights support HOT 4
- [Feature Request]: CATE for instrument variable based models HOT 1
- [Feature Request]: Overlap diagnostics for propensity scores
- [Feature Request]: Enable CATE and GATE for multiple repetitions
- [Feature Request]: Abstract DoubleMLBase class
- Rework the DID Sensitvitiy
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