Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.8.10
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 (>= 0.10.0), paradox (>= 1.0.0), R6,
        Rcpp (>= 1.0.4), survival
Suggests: abind, coxed, dictionar6 (<= 0.1.3), GGally, glmnet, gss,
        knitr, ks, lgr, lifecycle, locfit, logspline, mirai,
        mlr3learners (>= 0.10.0), ooplah (>= 0.2.0), np, pammtools,
        param6 (>= 0.2.4), plugdensity, polspline, pracma, rpart, set6
        (>= 0.2.6), simsurv, sm, survAUC (>= 1.4-0), survminer,
        testthat (>= 3.0.0)
LinkingTo: Rcpp
Remotes: jkropko/coxed@bc92e25, mlr-org/ooplah, mlr-org/dictionar6,
        mlr-org/set6, mlr-org/param6, mlr-org/distr6
ByteCompile: true
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
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' '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'
Config/pak/sysreqs: cmake
Repository: https://mlr-org.r-universe.dev
Date/Publication: 2026-06-05 13:56:47 UTC
RemoteUrl: https://github.com/mlr-org/mlr3proba
RemoteRef: v0.8.10
RemoteSha: 327d0503b40b9373caa24d0326c1f8b2a5356415
Packaged: 2026-06-24 01:03:04 UTC; root
Author: Raphael Sonabend [aut] (ORCID: <https://orcid.org/0000-0001-9225-4654>),
  Franz Kiraly [aut],
  Michel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>),
  Nurul Ain Toha [ctb],
  Andreas Bender [ctb] (ORCID: <https://orcid.org/0000-0001-5628-8611>),
  John Zobolas [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-3609-8674>),
  Lukas Burk [ctb] (ORCID: <https://orcid.org/0000-0001-7528-3795>),
  Philip Studener [aut],
  Maximilian Mücke [ctb] (ORCID: <https://orcid.org/0009-0000-9432-9795>),
  Lee Xingzhuo Li [ctb] (ORCID: <https://orcid.org/0000-0001-5259-5198>),
  Markus Goeswein [ctb]
Maintainer: John Zobolas <bblodfon@gmail.com>