ggplot2, glmnet, igraph, knitr, lme4, mlbench, bbotk (>=
0.3.0), mlr3filters (>= 0.1.1), mlr3learners, mlr3measures,
nloptr, quanteda, rmarkdown, rpart, stopwords, testthat,
visNetwork, bestNormalize, fastICA, kernlab, smotefamily,
evaluate, NMF, MASS, kknn, GenSA, methods, vtreat, future

Probabilistic Supervised Learning for 'mlr3'
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")))
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.
BBmisc, checkmate, data.table, distr6 (>= 1.3.1), mboost, mlr3
(>= 0.1.4), mlr3misc (>= 0.1.5), mlr3pipelines, paradox (>=
0.1.0), R6, survival, survivalsvm
flexsurv, gbm, glmnet, knitr, lgr, mlr3tuning, pec,
penalized, randomForestSRC, ranger, riskRegression, rpart,
simsurv, survAUC, testthat
'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'
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>)