DoubleML 0.11.0

• Release highlight: Logistic Partially Linear Regression Model (by Julius Herzig)

  • Implementation via DoubleMLLPLR class (Py #365)
  • Extended User Guide and Example Gallery (Docs #253)

• Refactored data classes (by Jan Teichert-Kluge) (Py #338, Py #337, Py #336, Docs #251)

  • Integrated clusters into DoubleMLData class
  • Added model specific data backends:
    • DoubleMLPanelData
    • DoubleMLSSMData
    • DoubleMLRDDData
  • Data generators are placed into the corresponding submodules, e.g. from doubleml.plm.datasets import make_plr_CCDDHNR2018 (Py #331, Py #332)

• Updated nuisance tuning for DoubleMLSSM class (by Batuhan Tongarlak) (Py #352)

• Updated propensity score handling in irm and did models, via new PSProcessor class (Py #363, Docs #254)

• Added TabPFN example notebook (Docs #248, Docs #259)

• Maintenance package (Py #354, Py #355, Py #356, Py #357, Py #358, Py #359, Py #360, Py #361, Py #367, Py #367, Py #369, Py #370, Py #371)

• Maintenance documentation (Docs #249, Docs #250, Docs #252, Docs #255, Docs #256, Docs #257, Docs #258)