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: 0.1.6
Depends: R (≥ 3.1.0)
Imports: checkmate, data.table, distr6 (≥ 1.3.6), mlr3 (≥ 0.3.0), mlr3misc (≥ 0.1.7), mlr3pipelines, paradox (≥ 0.1.0), R6, survival
Suggests: bibtex, gbm, ggplot2, glmnet, knitr, lgr, Matrix, mboost, mlr3tuning, pec, pracma, randomForestSRC, ranger, riskRegression, rmarkdown, rpart, set6, simsurv, survAUC, testthat, xgboost
Published: 2020-06-05
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 ucl.ac.uk>
BugReports: https://github.com/mlr-org/mlr3proba/issues
License: LGPL-3
URL: https://mlr3proba.mlr-org.com, https://github.com/mlr-org/mlr3proba
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: mlr3proba results

Downloads:

Reference manual: mlr3proba.pdf
Vignettes: Density Estimation in mlr3proba
Survival Analysis in mlr3proba
Package source: mlr3proba_0.1.6.tar.gz
Windows binaries: r-devel: mlr3proba_0.1.6.zip, r-release: mlr3proba_0.1.6.zip, r-oldrel: mlr3proba_0.1.6.zip
macOS binaries: r-release: mlr3proba_0.1.6.tgz, r-oldrel: mlr3proba_0.1.6.tgz
Old sources: mlr3proba archive

Reverse dependencies:

Reverse suggests: mlr3viz

Linking:

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