Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.8.3
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", "Mücke", , "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")),
    person("Markus", "Goeswein", , "markus.goeswein@outlook.de", role = "ctb")
  )
Description: Provides extensions for probabilistic supervised learning for
    'mlr3'. This currently includes survival analysis, probabilistic
    regression and density estimation.
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 (>= 1.2.0),
    R (>= 3.5.0)
Imports:
    checkmate,
    data.table,
    distr6 (>= 1.8.4),
    ggplot2,
    mlr3misc (>= 0.19.0),
    mlr3pipelines (>= 0.7.0),
    paradox (>= 1.0.0),
    R6,
    Rcpp (>= 1.0.4),
    survival
Suggests:
    abind,
    coxed,
    GGally,
    glmnet,
    gss,
    knitr,
    ks,
    lgr,
    lifecycle,
    locfit,
    logspline,
    mirai,
    mlr3learners (>= 0.10.0),
    np,
    pammtools,
    param6 (>= 0.2.4),
    pendensity,
    plugdensity,
    polspline,
    pracma,
    rpart,
    set6 (>= 0.2.6),
    simsurv,
    sm,
    survAUC (>= 1.4-0),
    testthat (>= 3.0.0)
LinkingTo:
    Rcpp
Remotes:
    jkropko/coxed@bc92e25,
    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: 7.3.3
Collate:
    'LearnerDens.R'
    'aaa.R'
    'LearnerDensHistogram.R'
    'LearnerDensKDE.R'
    'LearnerDensKDEks.R'
    'LearnerDensLocfit.R'
    'LearnerDensLogspline.R'
    'LearnerDensMixed.R'
    'LearnerDensNonparametric.R'
    'LearnerDensPenalized.R'
    'LearnerDensPlugin.R'
    'LearnerDensSpline.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'
    'PipeOpPredRegrSurvPEM.R'
    'PipeOpProbregrCompositor.R'
    'PipeOpResponseCompositor.R'
    'PipeOpSurvAvg.R'
    'PipeOpTaskSurvClassifDiscTime.R'
    'PipeOpTaskSurvClassifIPCW.R'
    'PipeOpTaskSurvRegrPEM.R'
    'PredictionDataDens.R'
    'PredictionDataSurv.R'
    'PredictionDens.R'
    'PredictionSurv.R'
    'RcppExports.R'
    'TaskDens.R'
    'TaskGeneratorCoxed.R'
    'TaskGeneratorSimdens.R'
    'TaskGeneratorSimsurv.R'
    'TaskSurv.R'
    'Task_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'
    'data.R'
    'default_fallback.R'
    'helper_measures.R'
    'helpers.R'
    'histogram.R'
    'mlr3proba-package.R'
    'pecs.R'
    'pipelines.R'
    'plot_probregr.R'
    'surv_return.R'
    'weighted_survival_score.R'
    'zzz.R'
