doubleml-for-py
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[Feature Request]: Rework Propensity Score Adjustments & add Calibration
Describe the feature you want to propose or implement
I think it might be a good choice to rework
ipw_normalizationtrimming_ruletrimming_threshold
The goals would be to generalize reweighting schemes and other adjustments.
If possible this should include the in_sample_normalization option of the doubleml.did module.
Further this should include an option to calibrate, see Algorithm 5 Calibration Strategies.
Propose a possible solution or implementation
- [ ] Include several functions in
utils._propensity_score - [ ] Rename
trimmingtoclipping - [ ] Include calbration of propensity scores