Doubleml

- Update citation info to publication in Journal of Statistical Software, rename helper function and fix links and GH actions 191

- Fixed/Adapted unit tests that failed in the release of 0.9.2 to conda-forge. [208](https://github.com/DoubleML/doubleml-docs/pull/208)

- Make `rdrobust` optional for conda. Create `pyproject.toml` and remove `setup.py` for packaging [285](https://github.com/DoubleML/doubleml-for-py/pull/285) [#286](https://github.com/DoubleML/doubleml-for-py/pull/286)

- Maintenance package [284](https://github.com/DoubleML/doubleml-for-py/pull/284)

- Maintenance documentation [205](https://github.com/DoubleML/doubleml-docs/pull/205) [#206](https://github.com/DoubleML/doubleml-docs/pull/206) [#207](https://github.com/DoubleML/doubleml-docs/pull/207)

- **Release highlight:** Regression Discontinuity Designs with Flexible Covariate Adjustment
via `RDFlex` class (in cooperation with [Claudia Noack](https://github.com/claudianoack) and [Tomasz Olma](https://github.com/tomaszolma); see [their paper](https://arxiv.org/abs/2107.07942)) [#276](https://github.com/DoubleML/doubleml-for-py/pull/276)

- Add `cov_type=HC0` and enable key-worded arguments to `DoubleMLBLP` [270](https://github.com/DoubleML/doubleml-for-py/issues/270) [#271](https://github.com/DoubleML/doubleml-for-py/pull/271)

- Update User Guide and Example Gallery [204](https://github.com/DoubleML/doubleml-docs/pull/204)

- Add AutoML example for tuning DoubleML estimators [199](https://github.com/DoubleML/doubleml-docs/pull/199)

- Maintenance package [268](https://github.com/DoubleML/doubleml-for-py/pull/268) [#278](https://github.com/DoubleML/doubleml-for-py/issues/278) [#279](https://github.com/DoubleML/doubleml-for-py/pull/279) [#281](https://github.com/DoubleML/doubleml-for-py/pull/281) [#282](https://github.com/DoubleML/doubleml-for-py/pull/282)

- Maintenance documentation [201](https://github.com/DoubleML/doubleml-docs/pull/201) [#203](https://github.com/DoubleML/doubleml-docs/pull/203)

- **Release highlight:** Average potential outcomes for multiple discrete treatments
via `DoubleMLAPO` and `DoubleMLAPOS` classes (proposed by [Apoorva Lal](https://github.com/apoorvalal)) [#245](https://github.com/DoubleML/doubleml-for-py/issues/245) [#250](https://github.com/DoubleML/doubleml-for-py/pull/250)

- Update User Guide and Example Gallery [188](https://github.com/DoubleML/doubleml-docs/pull/188) [#195](https://github.com/DoubleML/doubleml-docs/pull/195)

- Add sensitivity analysis to `DoubleMLFramework` [249](https://github.com/DoubleML/doubleml-for-py/pull/249)

- Maintenance package [264](https://github.com/DoubleML/doubleml-for-py/pull/264) [#265](https://github.com/DoubleML/doubleml-for-py/pull/265) [#266](https://github.com/DoubleML/doubleml-for-py/pull/266)

- Maintenance documentation [182](https://github.com/DoubleML/doubleml-docs/pull/182) [#184](https://github.com/DoubleML/doubleml-docs/pull/184) [#186](https://github.com/DoubleML/doubleml-docs/pull/186) [#193](https://github.com/DoubleML/doubleml-docs/pull/193) [#194](https://github.com/DoubleML/doubleml-docs/pull/194) [#196](https://github.com/DoubleML/doubleml-docs/pull/196) [#197](https://github.com/DoubleML/doubleml-docs/pull/197)

- **API Update**: Change nuisance evaluation for classifiers. The corresponding properties are renamed `nuisance_loss` instead of `rmses` [254](https://github.com/DoubleML/doubleml-for-py/pull/254) [#184](https://github.com/DoubleML/doubleml-docs/pull/184)

- Add new example on sensitivity analysis [190](https://github.com/DoubleML/doubleml-docs/pull/190)

- Add a new example on DiD with DoubleML in R [178](https://github.com/DoubleML/doubleml-docs/pull/178)

- Enable `set_sample_splitting` for cluster data [255](https://github.com/DoubleML/doubleml-for-py/pull/255)

- Update the `make_confounded_irm_data` data generating process [263](https://github.com/DoubleML/doubleml-for-py/pull/263)

- Maintainance package [264](https://github.com/DoubleML/doubleml-for-py/pull/264)

- Maintenance documentation [177](https://github.com/DoubleML/doubleml-docs/pull/177) [#180](https://github.com/DoubleML/doubleml-docs/pull/180) [#181](https://github.com/DoubleML/doubleml-docs/pull/181) [#187](https://github.com/DoubleML/doubleml-docs/pull/187) [#189](https://github.com/DoubleML/doubleml-docs/pull/189)