Package: mlr3proba
Title: Probabilistic Supervised Learning for 'mlr3'
Version: 0.1.2
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="Andreas",
             family="Bender",
             email="bender.at.R@gmail.com",
             role = c("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 (>= 1.3.3), mboost, mlr3 (>=
        0.1.4), mlr3misc (>= 0.1.5), mlr3pipelines, paradox (>= 0.1.0),
        R6, survival
Suggests: bibtex, flexsurv, gbm, glmnet, knitr, lgr, mlr3tuning, pec,
        penalized, randomForestSRC, ranger, riskRegression, rpart,
        simsurv, survAUC, survivalsvm, testthat
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 7.0.2
RdMacros: mlr3misc
Collate: 'LearnerDensity.R' 'LearnerDensityHist.R'
        'LearnerDensityKDE.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' 'predict_survreg.R'
        'LearnerSurvParametric.R' 'LearnerSurvPenalized.R'
        'LearnerSurvRandomForestSRC.R' 'LearnerSurvRanger.R'
        'LearnerSurvRpart.R' 'LearnerSurvSVM.R' 'MeasureDensity.R'
        'MeasureDensityLogloss.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' 'MeasureSurvNagelkR2.R'
        'MeasureSurvOQuigleyR2.R' 'MeasureSurvSongAUC.R'
        'MeasureSurvSongTNR.R' 'MeasureSurvSongTPR.R'
        'MeasureSurvUnoAUC.R' 'MeasureSurvUnoC.R' 'MeasureSurvUnoTNR.R'
        'MeasureSurvUnoTPR.R' 'MeasureSurvXuR2.R'
        'PipeOpCrankCompositor.R' 'PipeOpDistrCompositor.R'
        'PredictionDensity.R' 'PredictionProbreg.R' 'PredictionSurv.R'
        'TaskDensity.R' 'TaskDensity_precip.R'
        'TaskGeneratorFriedman1Dens.R' 'TaskGeneratorSimsurv.R'
        'TaskProbreg.R' 'TaskSurv.R' 'TaskSurv_lung.R'
        'TaskSurv_rats.R' 'TaskSurv_unemployment.R' 'assertions.R'
        'check_subsetpattern.R' 'crankcompositor.R' 'distrcompositor.R'
        'helpers.R' 'integrated_scores.R' 'surv_logloss.R'
        'weighted_survival_score.R' 'zzz.R'
Packaged: 2020-01-31 11:41:40 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>),
  Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2020-01-31 12:20:02 UTC
