stablelearner: Stability Assessment of Statistical Learning Methods

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 ORCID iD [aut, cre], Thomas Rusch [aut], Kurt Hornik ORCID iD [aut], Lennart Schneider ORCID iD [aut]
Maintainer: Achim Zeileis <Achim.Zeileis at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: stablelearner citation info
Materials: NEWS
CRAN checks: stablelearner results


Reference manual: stablelearner.pdf
Vignettes: Variable Selection and Cutpoint Analysis of Random Forests


Package source: stablelearner_0.1-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stablelearner_0.1-5.tgz, r-oldrel (arm64): stablelearner_0.1-5.tgz, r-release (x86_64): stablelearner_0.1-5.tgz, r-oldrel (x86_64): stablelearner_0.1-5.tgz
Old sources: stablelearner archive

Reverse dependencies:

Reverse suggests: psychotree


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