Graphical and computational methods that can be used to assess the
stability of results from supervised statistical learning.
| Version: |
0.1-8 |
| Depends: |
R (≥ 3.0.0) |
| Imports: |
graphics, methods, MASS, e1071, partykit, party, randomForest, ranger |
| Suggests: |
utils, Formula, nnet, rpart, evtree, rchallenge, knitr, rmarkdown |
| Published: |
2026-07-30 |
| 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> |
| BugReports: |
https://codeberg.org/zeileis/stablelearner/issues |
| License: |
GPL-2 | GPL-3 |
| URL: |
https://zeileis.codeberg.page/stablelearner/ |
| NeedsCompilation: |
no |
| Citation: |
stablelearner citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
stablelearner results |