NEWS

mlr3cmprsk 0.0.6

Added MeasureCompRisksIntegratedBrierScore (msr("cmprsk.ibs")) via RiskRegression. This is now the main measure for prediction error in the package.
Added config files for code formatting and for AI agents.
Raised the minimum required versions of mlr3 to 1.8.0 and mlr3misc to 0.23.0. (#22)
as_prediction_cmprsk() now accepts named lists of prediction data.
assert_cif_list() is now exported for validating lists of cumulative incidence matrices.
fix: cmprsk.fg parameter cengroup allows now for vector input.
fix: TaskCompRisks now checks that the event column has 1,2,...,K ordered integer-like numbers for the causes.
feat: more tests, refactoring, better assertions and expectations, better documentation across the package.
fix: TaskCompRisks$filter() now errors when row filtering leaves fewer than two competing events and gives a warning if less causes than before remain.
fix: check_prediction_data() was called (indirectly) twice after a learner finished its .predict() call, which was not required.

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

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.

Use new interp_cif() function to interpolate CIF curves from [email protected]