NEWS

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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 [email protected]

mlr3cmprsk 0.0.1

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