DESCRIPTION

Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.7.4
Authors@R: c(
    person("Raphael", "Sonabend", , "raphaelsonabend@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9225-4654")),
    person("Franz", "Kiraly", , "f.kiraly@ucl.ac.uk", role = "aut"),
    person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Nurul Ain", "Toha", , "nurul.toha.15@ucl.ac.uk", role = "ctb"),
    person("Andreas", "Bender", , "bender.at.R@gmail.com", role = "ctb",
           comment = c(ORCID = "0000-0001-5628-8611")),
    person("John", "Zobolas", , "bblodfon@gmail.com", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-3609-8674")),
    person("Lukas", "Burk", , "github@quantenbrot.de", role = "ctb",
           comment = c(ORCID = "0000-0001-7528-3795")),
    person("Philip", "Studener", , "philip.studener@gmx.de", role = "aut"),
    person("Maximilian", "Muecke", , "muecke.maximilian@gmail.com", role = "ctb",
           comment = c(ORCID = "0009-0000-9432-9795")),
    person("Lee Xingzhuo", "Li", , "xingzhuo_li@yahoo.com.au", role = "ctb",
           comment = c(ORCID = "0000-0001-5259-5198"))
  )
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.
License: LGPL-3
URL: https://mlr3proba.mlr-org.com, https://github.com/mlr-org/mlr3proba
BugReports: https://github.com/mlr-org/mlr3proba/issues
Depends:
    mlr3 (>= 0.14.1),
    R (>= 3.5.0)
Imports:
    checkmate,
    data.table,
    distr6 (>= 1.8.4),
    ggplot2,
    mlr3misc (>= 0.7.0),
    mlr3pipelines (>= 0.7.0),
    paradox (>= 1.0.0),
    R6,
    Rcpp (>= 1.0.4),
    survival
Suggests:
    abind,
    coxed,
    GGally,
    knitr,
    lgr,
    lifecycle,
    mlr3learners,
    mlr3viz,
    pammtools,
    param6 (>= 0.2.4),
    polspline,
    pracma,
    rpart,
    set6 (>= 0.2.6),
    simsurv,
    survAUC,
    testthat (>= 3.0.0)
LinkingTo:
    Rcpp
Remotes:
    xoopR/distr6,
    xoopR/param6,
    xoopR/set6
ByteCompile: true
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Roxygen: list(markdown = TRUE, r6 = TRUE)
RoxygenNote: 7.3.2
Collate:
    'LearnerDens.R'
    'aaa.R'
    'LearnerDensHistogram.R'
    'LearnerDensKDE.R'
    'LearnerSurv.R'
    'LearnerSurvCoxPH.R'
    'LearnerSurvKaplan.R'
    'LearnerSurvRpart.R'
    'MeasureDens.R'
    'MeasureDensLogloss.R'
    'MeasureRegrLogloss.R'
    'MeasureSurv.R'
    'MeasureSurvAUC.R'
    'MeasureSurvCalibrationAlpha.R'
    'MeasureSurvCalibrationBeta.R'
    'MeasureSurvChamblessAUC.R'
    'MeasureSurvCindex.R'
    'MeasureSurvDCalibration.R'
    'MeasureSurvGraf.R'
    'MeasureSurvHungAUC.R'
    'MeasureSurvICI.R'
    'MeasureSurvIntLogloss.R'
    'MeasureSurvLogloss.R'
    'MeasureSurvMAE.R'
    'MeasureSurvMSE.R'
    'MeasureSurvNagelkR2.R'
    'MeasureSurvOQuigleyR2.R'
    'MeasureSurvRCLL.R'
    'MeasureSurvRMSE.R'
    'MeasureSurvSchmid.R'
    'MeasureSurvSongAUC.R'
    'MeasureSurvSongTNR.R'
    'MeasureSurvSongTPR.R'
    'MeasureSurvUnoAUC.R'
    'MeasureSurvUnoTNR.R'
    'MeasureSurvUnoTPR.R'
    'MeasureSurvXuR2.R'
    'PipeOpBreslow.R'
    'PipeOpCrankCompositor.R'
    'PipeOpDistrCompositor.R'
    'PipeOpPredClassifSurvDiscTime.R'
    'PipeOpPredClassifSurvIPCW.R'
    'PipeOpProbregrCompositor.R'
    'PipeOpResponseCompositor.R'
    'PipeOpSurvAvg.R'
    'PipeOpTaskSurvClassifDiscTime.R'
    'PipeOpTaskSurvClassifIPCW.R'
    'PredictionDataDens.R'
    'PredictionDataSurv.R'
    'PredictionDens.R'
    'PredictionSurv.R'
    'RcppExports.R'
    'TaskDens.R'
    'TaskDens_zzz.R'
    'TaskGeneratorCoxed.R'
    'TaskGeneratorSimdens.R'
    'TaskGeneratorSimsurv.R'
    'TaskSurv.R'
    'TaskSurv_zzz.R'
    'as_prediction_dens.R'
    'as_prediction_surv.R'
    'as_task_dens.R'
    'as_task_surv.R'
    'assertions.R'
    'autoplot.R'
    'bibentries.R'
    'breslow.R'
    'cindex.R'
    'data.R'
    'helpers.R'
    'histogram.R'
    'integrated_scores.R'
    'mlr3proba-package.R'
    'pecs.R'
    'pipelines.R'
    'plot_probregr.R'
    'scoring_rule_erv.R'
    'surv_measures.R'
    'surv_return.R'
    'zzz.R'