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mlr3cmprsk 0.0.5

  • Refactored MeasureCompRisksAUC, added cause_weights parameter, renamed time_horizon to time
  • Added parameter tests for AJ and FG learners
  • Added more tests => >80% code coverage
  • Added MeasureCompRisksBrierScore, i.e. msr("cmprsk.brier") for fixed time point prediction error evaluation
  • Use survdistr from CRAN

mlr3cmprsk 0.0.4

  • Added LearnerCompRisksFineGray via cmprsk R package
  • Refactor merge_cifs() to align_cifs()
  • Added test coverage report + badge
  • Added example in README

mlr3cmprsk 0.0.3

  • Added missings, importance, and selected_features properties to cmprsk.aalen.
  • Added support for native_model() in cmprsk.aalen
  • CIF predictions for cmprsk.aalen are now at unique event times (rest can be constantly interpolated).
  • Minimum required mlr3 version is now 1.4.0.
  • Added a noise feature to autotest tasks for improved testing.
  • Improved documentation.

mlr3cmprsk 0.0.2

  • Use new interp_cif() function to interpolate CIF curves from survdistr@0.0.2

mlr3cmprsk 0.0.1

  • Initial transfer and update of code from mlr3proba.
  • Fix compatibility with mlr3 (1.3.0).