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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).