stablelearner: Stability Assessment of Statistical Learning Methods (original) (raw)
Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
| Version: | 0.1-5 |
|---|---|
| Depends: | R (≥ 3.0.0) |
| Imports: | graphics, methods, MASS, e1071, partykit, party, randomForest, ranger |
| Suggests: | utils, Formula, nnet, rpart, evtree, rchallenge, knitr, rmarkdown |
| Published: | 2023-04-13 |
| DOI: | 10.32614/CRAN.package.stablelearner |
| Author: | Michel Philipp [aut], Carolin Strobl [aut], Achim Zeileis  [aut, cre], Thomas Rusch [aut], Kurt Hornik [aut], Lennart Schneider [aut] |
| Maintainer: | Achim Zeileis <Achim.Zeileis at R-project.org> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| Citation: | stablelearner citation info |
| Materials: | NEWS |
| CRAN checks: | stablelearner results |
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