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: 0.1-2
Depends: R (≥ 3.0.0)
Imports: graphics, methods, MASS, e1071, partykit, party, randomForest, ranger
Suggests: utils, Formula, nnet, rpart, knitr, evtree
Published: 2020-04-17
Author: Michel Philipp [aut, cre], Carolin Strobl [aut], Achim Zeileis ORCID iD [aut], Thomas Rusch [aut], Kurt Hornik ORCID iD [aut], Lennart Schneider ORCID iD [aut]
Maintainer: Michel Philipp <michel.philipp.mp at gmail.com>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: stablelearner citation info
Materials: NEWS
CRAN checks: stablelearner results

Downloads:

Reference manual: stablelearner.pdf
Vignettes: Variable Selection and Cutpoint Analysis of Random Forests
Package source: stablelearner_0.1-2.tar.gz
Windows binaries: r-prerelease: stablelearner_0.1-2.zip, r-release: stablelearner_0.1-2.zip, r-oldrel: stablelearner_0.1-2.zip
macOS binaries: r-prerelease: stablelearner_0.1-1.tgz, r-release: stablelearner_0.1-2.tgz, r-oldrel: stablelearner_0.1-1.tgz
Old sources: stablelearner archive

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