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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 |
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: stablelearner_0.1-5.zip, r-release: stablelearner_0.1-5.zip, r-oldrel: stablelearner_0.1-5.zip |
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 suggests: | psychotree |
Please use the canonical form https://CRAN.R-project.org/package=stablelearner to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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