Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
| Version: | 0.1-7 |
| Depends: | R (≥ 3.0.0) |
| Imports: | graphics, methods, MASS, e1071, partykit, party, randomForest, ranger |
| Suggests: | utils, Formula, nnet, rpart, evtree, rchallenge, knitr, rmarkdown |
| Published: | 2025-10-27 |
| DOI: | 10.32614/CRAN.package.stablelearner |
| Author: | Michel Philipp [aut],
Carolin Strobl [aut],
Achim Zeileis |
| 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 |
| Reference manual: | stablelearner.html , stablelearner.pdf |
| Vignettes: |
Variable Selection and Cutpoint Analysis of Random Forests (source, R code) |
| Package source: | stablelearner_0.1-7.tar.gz |
| Windows binaries: | r-devel: stablelearner_0.1-7.zip, r-release: stablelearner_0.1-7.zip, r-oldrel: stablelearner_0.1-7.zip |
| macOS binaries: | r-release (arm64): stablelearner_0.1-7.tgz, r-oldrel (arm64): stablelearner_0.1-7.tgz, r-release (x86_64): stablelearner_0.1-7.tgz, r-oldrel (x86_64): stablelearner_0.1-7.tgz |
| Old sources: | stablelearner archive |
| Reverse suggests: | psychotree |
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