Stability Assessment of Statistical Learning Methods [R package stablelearner version 0.1-6]

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: 0.1-6

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年07月25日

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 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_0.1-6.tar.gz

Windows binaries: r-devel: stablelearner_0.1-6.zip, r-release: stablelearner_0.1-6.zip, r-oldrel: stablelearner_0.1-6.zip

macOS binaries: r-release (arm64): stablelearner_0.1-6.tgz, r-oldrel (arm64): stablelearner_0.1-6.tgz, r-release (x86_64): stablelearner_0.1-6.tgz, r-oldrel (x86_64): stablelearner_0.1-6.tgz

Old sources: stablelearner archive

Reverse dependencies:

Reverse suggests: psychotree

Linking:

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