mlr3proba: Probabilistic Supervised Learning for 'mlr3'

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.

Version: 0.1.5
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
Published: 2020-04-16
Author: Raphael Sonabend ORCID iD [aut, cre], Franz Kiraly [aut], Michel Lang ORCID iD [aut], Nurul Ain Toha [ctb], Andreas Bender ORCID iD [ctb]
Maintainer: Raphael Sonabend <raphael.sonabend.15 at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: mlr3proba results


Reference manual: mlr3proba.pdf
Vignettes: Density Estimation in mlr3proba
Survival Analysis in mlr3proba
Package source: mlr3proba_0.1.5.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: mlr3proba_0.1.4.tgz, r-release: mlr3proba_0.1.5.tgz, r-oldrel: mlr3proba_0.1.4.tgz
Old sources: mlr3proba archive

Reverse dependencies:

Reverse suggests: mlr3viz


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