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: |
0.1.4 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
checkmate, data.table, distr6 (≥ 1.3.5), mlr3 (≥ 0.1.7), mlr3misc (≥ 0.1.7), mlr3pipelines, paradox (≥ 0.1.0), R6, survival |
| Suggests: |
bibtex, flexsurv, gbm, glmnet, kerdiest, gss, knitr, ks, lgr, logspline, locfit, mboost, mlr3tuning, np, obliqueRSF, pec, penalized, pendensity, plugdensity, randomForestSRC, ranger, riskRegression, rpart, set6, simsurv, sm, survAUC, survivalsvm, testthat |
| Published: |
2020-03-20 |
| Author: |
Raphael Sonabend 
[aut, cre],
Franz Kiraly [aut],
Michel Lang [aut],
Nurul Ain Toha [ctb],
Andreas Bender
[ctb] |
| Maintainer: |
Raphael Sonabend <raphael.sonabend.15 at ucl.ac.uk> |
| BugReports: |
https://github.com/mlr-org/mlr3proba/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://mlr3proba.mlr-org.com,
https://github.com/mlr-org/mlr3proba |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
mlr3proba results |