stablelearner: Stability Assessment of Statistical Learning Methods

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Graphical and computational methods that can be used to assess the stability of results from statistical learning. Currently, only methods for assessing the stability of trees (i.e., recursive partitioning methods) are provided.

Author
Michel Philipp [aut, cre], Carolin Strobl [aut], Achim Zeileis [ctb]
Date of publication
2016-09-30 15:39:26
Maintainer
Michel Philipp <M.Philipp@psychologie.uzh.ch>
License
GPL-2 | GPL-3
Version
0.1-1

View on R-Forge

Man pages

bootstrap
Sampler Infrastructure for Stability Assessment
plot.stabletree
Visualizing Tree Stability Assessments
stabletree
Stability Assessment for Tree Learners
titanic
Passengers and Crew on the RMS Titanic

Files in this package

stablelearner/DESCRIPTION
stablelearner/NAMESPACE
stablelearner/R
stablelearner/R/sampler.R
stablelearner/R/stabletree.R
stablelearner/data
stablelearner/data/titanic.rda
stablelearner/inst
stablelearner/inst/CITATION
stablelearner/man
stablelearner/man/bootstrap.Rd
stablelearner/man/plot.stabletree.Rd
stablelearner/man/stabletree.Rd
stablelearner/man/titanic.Rd