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: 0.2.1
Depends: R (≥ 3.5.0)
Imports: checkmate, data.table, distr6 (≥ 1.4.3), mlr3 (≥ 0.5.0), mlr3misc (≥ 0.1.7), paradox (≥ 0.1.0), R6, Rcpp (≥ 1.0.4), survival
LinkingTo: Rcpp
Suggests: bibtex, ggplot2, knitr, lgr, Matrix, mlr3pipelines (≥ 0.2.1), mlr3tuning, pracma, rmarkdown, rpart, set6 (≥ 0.1.7), simsurv, survAUC, testthat
Published: 2020-08-28
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: LGPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: mlr3proba results


Reference manual: mlr3proba.pdf
Vignettes: Density Estimation in mlr3proba
Package source: mlr3proba_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mlr3proba_0.2.1.tgz, r-oldrel: mlr3proba_0.2.1.tgz
Old sources: mlr3proba archive

Reverse dependencies:

Reverse suggests: mlr3learners, mlr3viz


Please use the canonical form to link to this page.