Provides extensions for probabilistic supervised
learning for 'mlr3'.  This includes extending the regression task to
probabilistic and interval regression, adding a survival task, and
other specialized models, predictions, and measures. mlr3extralearners is available
from <https://github.com/mlr-org/mlr3extralearners>.
bibtex, bujar, ggplot2, knitr, lgr, mlr3extralearners,
mlr3pipelines (>= 0.3.0), pracma, rpart, set6 (>= 0.1.7),
simsurv, survAUC, testthat
'LearnerDens.R' 'LearnerDensHistogram.R' 'LearnerDensKDE.R'
'LearnerRegrGaussian.R' 'LearnerSurv.R' 'LearnerSurvCoxPH.R'
'LearnerSurvKaplan.R' 'LearnerSurvRpart.R' 'MeasureDens.R'
'MeasureDensLogloss.R' 'MeasureRegrLogloss.R' 'MeasureSurv.R'
'MeasureSurvIntegrated.R' 'MeasureSurvAUC.R'
'MeasureSurvBeggC.R' 'MeasureSurvCalibrationAlpha.R'
'MeasureSurvCalibrationBeta.R' 'MeasureSurvChamblessAUC.R'
'MeasureSurvCindex.R' 'MeasureSurvGonenHellersC.R'
'MeasureSurvGraf.R' 'MeasureSurvGrafSE.R'
'MeasureSurvHarrellC.R' 'MeasureSurvHungAUC.R'
'MeasureSurvIntLogloss.R' 'MeasureSurvIntLoglossSE.R'
'MeasureSurvLogloss.R' 'MeasureSurvLoglossSE.R'
'MeasureSurvMAE.R' 'MeasureSurvMAESE.R' 'MeasureSurvMSE.R'
'MeasureSurvMSESE.R' 'MeasureSurvNagelkR2.R'
'MeasureSurvOQuigleyR2.R' 'MeasureSurvRMSE.R'
'MeasureSurvRMSESE.R' 'MeasureSurvSchmid.R'
'MeasureSurvSongAUC.R' 'MeasureSurvSongTNR.R'
'MeasureSurvSongTPR.R' 'MeasureSurvUnoAUC.R'
'MeasureSurvUnoC.R' 'MeasureSurvUnoTNR.R' 'MeasureSurvUnoTPR.R'
'MeasureSurvXuR2.R' 'PipeOpCrankCompositor.R'
'PipeOpDistrCompositor.R' 'PipeOpTransformer.R'
'PipeOpPredTransformer.R' 'PipeOpPredRegrSurv.R'
'PipeOpPredSurvRegr.R' 'PipeOpProbregrCompositor.R'
'PipeOpSurvAvg.R' 'PipeOpTaskRegrSurv.R' 'PipeOpTaskSurvRegr.R'
'PipeOpTaskTransformer.R' 'PredictionDataDens.R'
'PredictionDataSurv.R' 'PredictionDens.R' 'PredictionSurv.R'
'RcppExports.R' 'TaskDens.R' 'TaskDens_X.R'
'TaskGeneratorSimdens.R' 'TaskGeneratorSimsurv.R' 'TaskSurv.R'
'TaskSurv_X.R' 'assertions.R' 'cindex.R' 'data.R' 'helpers.R'
'histogram.R' 'integrated_scores.R' 'pecs.R' 'pipelines.R'
'plot.R' 'surv_measures.R' 'zzz.R'