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  [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 |