# mlr3proba 0.1.4

* Density estimation has now been added to mlr3proba, see `TaskDens`, `LearnerDens`, `PredictionDens`, and `MeasureDens`.
* Added `mlr_tasks_faithful` and `mlr_tasks_precip` for density task examples
* Added `mlr_task_generators_simdens` for generating density tasks
* Added learners for density estimation, see `mlr3::mlr_learners$keys("^dens")` for the full list
* In line with mlr3 0.1.7, public methods `train_internal`, `predict_internal`, `score_internal` are now private methods `.train`,`.predict`,`.score` 
* Converted to roxygen2 R6 documentation

# mlr3proba 0.1.3

* Changed `lp` in `surv.parametric` to include the intercept, which is in line with `survival::survreg`. Now `exp(pred$lp)` is equal to the predicted survival time for AFTs
* Moved `mboost` to `suggests`
* Added `response` predict type, which predicts the time until event. Currently only supported for AFT models in `surv.parametric`
* Added measures for `response` predict type: `MeasureSurvMAE, MeasureSurvMAESE, MeasureSurvMSE, MeasureSurvMSESE, MeasureSurvRMSE, MeasureSurvRMSESE`

# mlr3proba 0.1.2

* Fixed error in r-patched-solaris
* Added `mode` option to `crankcompositor`
* Fixes bug resulting from `R62S3` incompatibility

# mlr3proba 0.1.1

* Added `method` argument to integrated scores and added weighting by bin-width
* Added notes to IGS documentation regarding default methods and comparison to other packages
* Added `method` to `MeasureSurvIntegrated` constructor and fields
* Fixed mistake in documentation of: `TaskSurv`, `MeasureSurvUnoC`
* Added missing `LearnerSurvRpart` parameter `parms` and `cost`
* Fixed errors in r-patched-solaris and r-devel debian-clang

# mlr3proba 0.1.0

* Initial upload to CRAN.
