Stability Assessment of Statistical Learning Methods

Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.


Changes in Version 0.1-1

o project stablelearner has been launched and a stable version of the package has been uploaded to CRAN.

o stability() is available to estimate the stability of the result s from a given supervised statistical learning method.

o stabletree() is available to estimate the stability of the results from recursive partitioning.

Reference manual

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0.1-3 by Michel Philipp, a year ago

Browse source code at

Authors: Michel Philipp [aut, cre] , Carolin Strobl [aut] , Achim Zeileis [aut] , Thomas Rusch [aut] , Kurt Hornik [aut] , Lennart Schneider [aut]

Documentation:   PDF Manual  

GPL-2 | GPL-3 license

Imports graphics, methods, MASS, e1071, partykit, party, randomForest, ranger

Suggests utils, Formula, nnet, rpart, evtree, rchallenge, knitr, rmarkdown

Suggested by psychotree.

See at CRAN