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DoubleML - Double Machine Learning in Python

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- Implementation of DML for Static Panel Data - Reference: [Paper](https://academic.oup.com/ectj/advance-article/doi/10.1093/ectj/utaf011/8120202)

new feature

Add an additional color to indicate anticipation periods during plotting.

enhancement

Update Requirements - [ ] Set ``"scikit-learn>=1.6"``, due to ``'force_all_finite'`` was renamed to ``'ensure_all_finite'`` in 1.6 and will be removed in 1.8. - [ ] Remove sklearn version check (https://github.com/DoubleML/doubleml-for-py/blob/fb4bc14ab8944e7ab1c6fe7fa0c147435bdc8016/doubleml/utils/global_learner.py#L11)...

### Describe the feature you want to propose or implement Extend and rework high-dim. IV Settings ### Propose a possible solution or implementation _No response_ ### Did you consider alternatives...

enhancement
new feature
refactoring

Suggestions: - [ ] Separate tests in each submodule - [ ] extend basic tests - [ ] Update [Testing Guide](https://github.com/MartinSpindler/DML/blob/master/project_DoubleML/guides/unit_tests.md)

refactoring

### Describe the feature you want to propose or implement I think it might be a good choice to rework - `ipw_normalization` - `trimming_rule` - `trimming_threshold` The goals would be...

enhancement
new feature

### Describe the feature you want to propose or implement Add a logistic version of `DoubleMLPLR` ### Propose a possible solution or implementation _No response_ ### Did you consider alternatives...

enhancement
new feature

Extent DiD classes to multiple time periods with staggered adoption

enhancement
new feature

### Describe the feature you want to propose or implement Seperate Data object for RDD called `DoubleMLRDDData`. ### Propose a possible solution or implementation _No response_ ### Did you consider...

enhancement
new feature

Split the data generators into different files.

refactoring