Function reference • mlr3proba

Package

mlr3proba-package: mlr3proba: Probabilistic Supervised Learning for 'mlr3'

Building Blocks

TaskSurv: Survival Task

LearnerSurv: Survival Learner

PredictionSurv: Prediction Object for Survival

MeasureSurv: Survival Measure

TaskDens: Density Task

LearnerDens: Density Learner

PredictionDens: Prediction Object for Density

MeasureDens: Density Measure

Survival Learners

mlr_learners_surv.coxph: Cox Proportional Hazards Survival Learner

mlr_learners_surv.kaplan: Kaplan-Meier Estimator Survival Learner

mlr_learners_surv.rpart: Rpart Survival Trees Survival Learner

Survival Measures

mlr_measures_surv.calib_alpha: Van Houwelingen's Alpha Survival Measure

mlr_measures_surv.calib_beta: Van Houwelingen's Beta Survival Measure

mlr_measures_surv.chambless_auc: Chambless and Diao's AUC Survival Measure

mlr_measures_surv.cindex: Concordance Statistics Survival Measure

mlr_measures_surv.dcalib: D-Calibration Survival Measure

mlr_measures_surv.graf: Integrated Graf Score Survival Measure

mlr_measures_surv.hung_auc: Hung and Chiang's AUC Survival Measure

mlr_measures_surv.intlogloss: Integrated Log loss Survival Measure

mlr_measures_surv.logloss: Log loss Survival Measure

mlr_measures_surv.mae: Mean Absolute Error Survival Measure

mlr_measures_surv.mse: Mean Squared Error Survival Measure

mlr_measures_surv.nagelk_r2: Nagelkerke's R2 Survival Measure

mlr_measures_surv.oquigley_r2: O'Quigley, Xu, and Stare's R2 Survival Measure

mlr_measures_surv.rmse: Root Mean Squared Error Survival Measure

mlr_measures_surv.schmid: Integrated Schmid Score Survival Measure

mlr_measures_surv.song_auc: Song and Zhou's AUC Survival Measure

mlr_measures_surv.song_tnr: Song and Zhou's TNR Survival Measure

mlr_measures_surv.song_tpr: Song and Zhou's TPR Survival Measure

mlr_measures_surv.uno_auc: Uno's AUC Survival Measure

mlr_measures_surv.uno_tnr: Uno's TNR Survival Measure

mlr_measures_surv.uno_tpr: Uno's TPR Survival Measure

mlr_measures_surv.xu_r2: Xu and O'Quigley's R2 Survival Measure

Survival Tasks

mlr_task_generators_simsurv: Survival Task Generator for Package 'simsurv'

mlr_tasks_actg: ACTG 320 Survival Task

mlr_tasks_gbcs: German Breast Cancer Study Survival Task

mlr_tasks_grace: GRACE 1000 Survival Task

mlr_tasks_lung: Lung Cancer Survival Task

mlr_tasks_rats: Rats Survival Task

mlr_tasks_unemployment: Unemployment Duration Survival Task

mlr_tasks_whas: Worcester Heart Attack Study (WHAS) Survival Task

Survival PipeOps

mlr_pipeops_compose_crank: PipeOpCrankCompositor

mlr_pipeops_compose_distr: PipeOpDistrCompositor

mlr_pipeops_compose_probregr: PipeOpProbregrCompositor

mlr_pipeops_survavg: PipeOpSurvAvg

mlr_pipeops_trafopred_regrsurv: PipeOpPredRegrSurv

mlr_pipeops_trafopred_survregr: PipeOpPredSurvRegr

mlr_pipeops_trafotask_regrsurv: PipeOpTaskRegrSurv

mlr_pipeops_trafotask_survregr: PipeOpTaskSurvRegr

pipeline_crankcompositor() crankcompositor(): Estimate Survival crank Predict Type Pipeline

pipeline_distrcompositor() distrcompositor(): Estimate Survival distr Predict Type Pipeline

pipeline_probregrcompositor(): Estimate Regression distr Predict Type Pipeline

pipeline_survaverager(): Survival Prediction Averaging Pipeline

pipeline_survbagging(): Survival Prediction Averaging Pipeline

pipeline_survtoregr(): Survival to Regression Reduction Pipeline

PipeOpPredTransformer: PipeOpPredTransformer

PipeOpTaskTransformer: PipeOpTaskTransformer

PipeOpTransformer: PipeOpTransformer

Density Learners

mlr_learners_dens.hist: Histogram Density Estimator

mlr_learners_dens.kde: Kernel Density Estimator

Density Measures

mlr_measures_dens.logloss: Log loss Density Measure

Density Tasks

mlr_tasks_faithful: Old Faithful Eruptions Density Task

mlr_tasks_precip: Annual Precipitation Density Task

mlr_task_generators_simdens: Density Task Generator for Package 'distr6'

S3 Methods

as_prediction_dens(): Convert to a Density Prediction

as_prediction_surv(): Convert to a Survival Prediction

as_task_dens(): Convert to a Density Task

as_task_surv(): Convert to a Survival Task

Visualisation

pecs(): Prediction Error Curves for PredictionSurv and LearnerSurv

plot(<LearnerSurv>): Visualization of fitted LearnerSurv objects

Datasets

actg: ACTG 320 Clinical Trial Dataset

gbcs: German Breast Cancer Study (GBCS) Dataset

grace: GRACE 1000 Dataset

whas: Worcester Heart Attack Study (WHAS) Dataset

Internal

.surv_return(): Get Survival Predict Types

assert_surv(): Assert survival object

MeasureSurvAUC: Abstract Class for survAUC Measures