Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.1.5
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 (>= 1.3.6), mlr3 (>= 0.1.8),
        mlr3misc (>= 0.1.7), mlr3pipelines, paradox (>= 0.1.0), R6,
        survival
Suggests: bibtex, CoxBoost, flexsurv, gbm, ggplot2, glmnet, gss,
        kerdiest, knitr, ks, lgr, logspline, locfit, Matrix, mboost,
        mlr3tuning, np, obliqueRSF, pec, penalized, pendensity,
        plugdensity, randomForestSRC, ranger, riskRegression, rpart,
        set6, simsurv, sm, survAUC, survivalsvm, testthat, xgboost
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.1.0
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' 'LearnerSurvObliqueRSF.R'
        'LearnerSurvPenalized.R' 'LearnerSurvRandomForestSRC.R'
        'LearnerSurvRanger.R' 'LearnerSurvRpart.R'
        'LearnerSurvXGBoost.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'
        'autoplot.R' 'crankcompositor.R' 'distrcompositor.R'
        'helpers.R' 'histogram.R' 'integrated_scores.R' 'pecs.R'
        'surv_measures.R' 'weighted_survival_score.R' 'zzz.R'
Packaged: 2020-04-16 15:27:11 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: 2020-04-16 16:10:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 06:57:08 UTC; windows
Archs: i386, x64
