Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.4.0
Authors@R: 
    c(person(given = "Raphael",
             family = "Sonabend",
             role = c("aut", "cre"),
             email = "raphaelsonabend@gmail.com",
             comment = c(ORCID = "0000-0001-9225-4654")),
      person(given = "Franz",
             family = "Kiraly",
             role = "aut",
             email = "f.kiraly@ucl.ac.uk"),
      person(given = "Michel",
             family = "Lang",
             role = "aut",
             email = "michellang@gmail.com",
             comment = c(ORCID = "0000-0001-9754-0393")),
      person(given = "Nurul Ain",
             family = "Toha",
             role = "ctb",
             email = "nurul.toha.15@ucl.ac.uk"),
      person(given = "Andreas",
             family = "Bender",
             role = "ctb",
             email = "bender.at.R@gmail.com",
             comment = c(ORCID = "0000-0001-5628-8611")))
Description: 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>.
License: LGPL-3
URL: https://mlr3proba.mlr-org.com,
        https://github.com/mlr-org/mlr3proba
BugReports: https://github.com/mlr-org/mlr3proba/issues
Depends: R (>= 3.5.0)
Imports: checkmate, data.table, distr6 (>= 1.4.5), mlr3 (>= 0.6.0),
        mlr3misc (>= 0.7.0), paradox (>= 0.1.0), R6, Rcpp (>= 1.0.4),
        survival
Suggests: bujar, cubature, ggplot2, knitr, lgr, mlr3extralearners,
        mlr3pipelines (>= 0.3.4), pracma, rpart, set6 (>= 0.1.7),
        simsurv, survAUC, testthat
LinkingTo: Rcpp
ByteCompile: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.1.1
Collate: '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'
        'MeasureSurvCalibrationAlpha.R' 'MeasureSurvCalibrationBeta.R'
        'MeasureSurvChamblessAUC.R' 'MeasureSurvCindex.R'
        'MeasureSurvDCalibration.R' 'MeasureSurvGraf.R'
        'MeasureSurvHungAUC.R' 'MeasureSurvIntLogloss.R'
        'MeasureSurvLogloss.R' 'MeasureSurvMAE.R' 'MeasureSurvMSE.R'
        'MeasureSurvNagelkR2.R' 'MeasureSurvOQuigleyR2.R'
        'MeasureSurvRMSE.R' 'MeasureSurvSchmid.R'
        'MeasureSurvSongAUC.R' 'MeasureSurvSongTNR.R'
        'MeasureSurvSongTPR.R' 'MeasureSurvUnoAUC.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' 'as_prediction_surv.R' 'as_task_surv.R'
        'assertions.R' 'bibentries.R' 'cindex.R' 'data.R' 'helpers.R'
        'histogram.R' 'integrated_scores.R' 'pecs.R' 'pipelines.R'
        'plot.R' 'surv_measures.R' 'surv_return.R' 'zzz.R'
Packaged: 2021-04-17 08:06:23 UTC; raphael
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>),
  Franz Kiraly [aut],
  Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
  Nurul Ain Toha [ctb],
  Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphaelsonabend@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-18 04:50:06 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-12 21:03:48 UTC; windows
Archs: i386, x64
