Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.1.4
Authors@R: 
    c(person(given = "Raphael",
             family = "Sonabend",
             role = c("aut", "cre"),
             email = "raphael.sonabend.15@ucl.ac.uk",
             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",
             email="bender.at.R@gmail.com",
             role = "ctb",
             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.
License: MIT + file LICENSE
URL: https://mlr3proba.mlr-org.com,
        https://github.com/mlr-org/mlr3proba
BugReports: https://github.com/mlr-org/mlr3proba/issues
Depends: R (>= 3.1.0)
Imports: checkmate, data.table, distr6 (>= 1.3.5), mlr3 (>= 0.1.7),
        mlr3misc (>= 0.1.7), mlr3pipelines, paradox (>= 0.1.0), R6,
        survival
Suggests: bibtex, flexsurv, gbm, glmnet, kerdiest, gss, knitr, ks, lgr,
        logspline, locfit, mboost, mlr3tuning, np, obliqueRSF, pec,
        penalized, pendensity, plugdensity, randomForestSRC, ranger,
        riskRegression, rpart, set6, simsurv, sm, survAUC, survivalsvm,
        testthat
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.0.2
RdMacros: mlr3misc
Collate: 'LearnerDens.R' 'LearnerDensHistogram.R' 'LearnerDensKDE.R'
        'LearnerDensKDEkd.R' 'LearnerDensKDEks.R' 'LearnerDensLocfit.R'
        'LearnerDensLogspline.R' 'LearnerDensMixed.R'
        'LearnerDensNonparametric.R' 'LearnerDensPenalized.R'
        'LearnerDensPlugin.R' 'LearnerDensSpline.R' 'LearnerProbreg.R'
        'LearnerProbregGaussian.R' 'LearnerSurv.R'
        'LearnerSurvBlackboost.R' 'LearnerSurvCVGlmnet.R'
        'LearnerSurvCoxPH.R' 'predict_flexsurvreg.R'
        'LearnerSurvFlexible.R' 'LearnerSurvGBM.R'
        'LearnerSurvGamboost.R' 'LearnerSurvGlmboost.R'
        'LearnerSurvGlmnet.R' 'LearnerSurvKaplan.R'
        'LearnerSurvMboost.R' 'LearnerSurvNelson.R'
        'LearnerSurvObliqueRSF.R' 'predict_survreg.R'
        'LearnerSurvParametric.R' 'LearnerSurvPenalized.R'
        'LearnerSurvRandomForestSRC.R' 'LearnerSurvRanger.R'
        'LearnerSurvRpart.R' 'LearnerSurvSVM.R' 'MeasureDens.R'
        'MeasureDensLogloss.R' 'MeasureRegrLogloss.R' 'MeasureSurv.R'
        'MeasureSurvIntegrated.R' 'MeasureSurvAUC.R'
        'MeasureSurvBeggC.R' 'MeasureSurvChamblessAUC.R'
        'MeasureSurvGonenHellersC.R' 'MeasureSurvGraf.R'
        'MeasureSurvGrafSE.R' 'MeasureSurvHarrellC.R'
        'MeasureSurvHungAUC.R' 'MeasureSurvIntLogloss.R'
        'MeasureSurvIntLoglossSE.R' 'MeasureSurvLogloss.R'
        'MeasureSurvLoglossSE.R' 'MeasureSurvMAE.R'
        'MeasureSurvMAESE.R' 'MeasureSurvMSE.R' 'MeasureSurvMSESE.R'
        'MeasureSurvNagelkR2.R' 'MeasureSurvOQuigleyR2.R'
        'MeasureSurvRMSE.R' 'MeasureSurvRMSESE.R'
        'MeasureSurvSongAUC.R' 'MeasureSurvSongTNR.R'
        'MeasureSurvSongTPR.R' 'MeasureSurvUnoAUC.R'
        'MeasureSurvUnoC.R' 'MeasureSurvUnoTNR.R' 'MeasureSurvUnoTPR.R'
        'MeasureSurvXuR2.R' 'PipeOpCrankCompositor.R'
        'PipeOpDistrCompositor.R' 'PredictionDens.R'
        'PredictionProbreg.R' 'PredictionSurv.R' 'TaskDens.R'
        'TaskDens_faithful.R' 'TaskDens_precip.R'
        'TaskGeneratorSimdens.R' 'TaskGeneratorSimsurv.R'
        'TaskProbreg.R' 'TaskSurv.R' 'TaskSurv_lung.R'
        'TaskSurv_rats.R' 'TaskSurv_unemployment.R' 'assertions.R'
        'crankcompositor.R' 'distrcompositor.R' 'helpers.R'
        'histogram.R' 'integrated_scores.R' 'surv_measures.R'
        'weighted_survival_score.R' 'zzz.R'
Packaged: 2020-03-20 11:45:07 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 <raphael.sonabend.15@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2020-03-20 12:50:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 08:35:59 UTC; windows
Archs: i386, x64
