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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:0.1-7
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 ZeileisORCID iD [aut, cre], Thomas Rusch [aut], Kurt HornikORCID iD [aut], Lennart SchneiderORCID iD [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

Documentation:

Reference manual:stablelearner.html ,stablelearner.pdf
Vignettes:Variable Selection and Cutpoint Analysis of Random Forests (source,R code)

Downloads:

Package source: stablelearner_0.1-7.tar.gz
Windows binaries: r-devel:stablelearner_0.1-7.zip, r-release:stablelearner_0.1-7.zip, r-oldrel:stablelearner_0.1-7.zip
macOS binaries: r-release (arm64):stablelearner_0.1-7.tgz, r-oldrel (arm64):stablelearner_0.1-7.tgz, r-release (x86_64):stablelearner_0.1-7.tgz, r-oldrel (x86_64):stablelearner_0.1-7.tgz
Old sources: stablelearner archive

Reverse dependencies:

Reverse suggests:psychotree

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=stablelearnerto link to this page.


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