mlr3proba v0.2.1

• Removed PredictionRegr causing masking issues with {mlr3}
• Bug fix in PipeOpDistrCompositor causing some cdf predictions to be lost
• Internal fixes for mlr3pipelines: public train and predict methods to private
• Added four datasets and tasks: grace, actg, gbcs, whas
• Add overwrite to crankcompositor pipeop and pipeline
• Bug fix in surv.kaplan crank prediction

mlr3proba 0.2.0

mlr3proba 0.2.0.9000

• Removed PredictionRegr causing masking issues with {mlr3}
• Bug fix in PipeOpDistrCompositor causing some cdf predictions to be lost

mlr3proba 0.2.0

Added Functionality

• MeasureSurvCindex added. Generalises all c-index measures with a fast C++ implementation
• Akritas estimator added to mlr3learners.proba repo
• Added scoring rule MeasureSurvSchmid
• Addd calibration measures MeasureSurvCalibrationBeta and MeasureSurvCalibrationAlpha
• surv.brier alias added for surv.graf
• response parameter added to PipeOpCrankCompositor and crankcompositor to now optionally fill response predict type with same values as crank
• Added PipeOpProbregrCompostior and compose_probregr for composition to distr return type from (a) regression learner(s) predicting response and se
• Added PipeOpSurvAvg and surv_averager pipeline for weighted model averaging of distr, lp, crank, and response predictions.

Deprecated Functionality

• The following measures are deprecated use MeasureSurvCindex instead with following parameters: MeasureSurvBeggC, use defaults; MeasureSurvHarrellC, use defaults; MeasureSurvUnoC, use weight_meth = 'G/2'; MeasureSurvGonenC, use weight_method = 'GH'
• MeasureSurvGrafSE, MeasureSurvLoglossSE, MeasureSurvIntLoglossSE, MeasureSurvRMSESE, MeasureSurvMSESE, and MeasureSurvMAESE all deprecated and will be deleted in v0.4.0. Use msr("surv.graf", se = TRUE) instead (for example).
• Measures renamed such that surv.nagelkR2 is now surv.nagelk_r2, analogously for all R2, AUC, TPR, and TNR measures. Old constructors will be deleted in v0.4.0.
• Renamed distrcompose and crankcompose to distr_compose and crank_compose. Old ids will be deleted in v0.4.0.

Edited Functionality

• Measures renamed such that surv.nagelkR2 is now surv.nagelk_r2, analogously for all R2, AUC, TPR, and TNR measures. Old constructors will be deleted in v0.4.0.
• MeasureSurvGraf and MeasureSurvIntLogloss now have much faster C++ implementation

Moved Functionality

• LearnerSurvGlmnet, LearnerSurvCVGlmnet, LearnerSurvXgboost and LearnerSurvRanger have been moved to the mlr3learners repo

• LearnerSurvGBM has been moved to https://www.github.com/mlr3learners/mlr3learners.gbm

• LearnerSurvMboost, LearnerSurvGlmBoost, LearnerSurvGamboost, LearnerSurvBlackboost have been moved to https://www.github.com/mlr3learners/mlr3learners.mboost

mlr3proba v0.1.6

• Early release due to backward compatibility error introduced by an upstream dependency
• Minor updates to mboost family of learners: added gehan family, fixed parameters for cindex, added support for: weights, response predict type, importance, selected_features
• Minor internal changes
• All density learners except LearnerDensHist and LearnerDensKDE have been moved to the mlr3learners org
• The following survival learners have been moved to the mlr3learners org, LearnerSurv: Flexible, ObliqueRSF, Penalized, RandomForestSRC
• Bugfix in LearnerSurvXgboost previously lp was erroneously returned as exp(lp)
• Now licenced under LPGL-3

mlr3proba v0.1.4

• 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 v0.1.3

• 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 v0.1.2

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

mlr3proba v0.1.1

• 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 v0.1.0

Initial upload to CRAN.