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 |