Graphical and computational methods that can be used to assess the 
  stability of results from supervised statistical learning.
| Version: | 
0.1-6 | 
| Depends: | 
R (≥ 3.0.0) | 
| Imports: | 
graphics, methods, MASS, e1071, partykit, party, randomForest, ranger | 
| Suggests: | 
utils, Formula, nnet, rpart, evtree, rchallenge, knitr, rmarkdown | 
| Published: | 
2025-07-25 | 
| 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 |