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The R package stablelearner provides:
Stability assessment for tree learners: stabletree
and accompanying methods, including coercion functions for various
random forest objects to stabletree objects.
Stability assessment for supervised statistical learners in
general: stability and accompanying methods, including a
broad range of similarity measures for both classification and
regression problems.
Philipp M, Zeileis A, Strobl C (2016). “A Toolkit for Stability Assessment of Tree-Based Learners.” In Colubi A, Blanco A, Gatu C (eds.), Proceedings of COMPSTAT 2016 - 22nd International Conference on Computational Statistics, 315-325. ISBN 978-90-73592-36-0. Preprint available at https://EconPapers.RePEc.org/RePEc:inn:wpaper:2016-11
Philipp M, Rusch T, Hornik K, Strobl C (2018). “Measuring the Stability of Results from Supervised Statistical Learning.” Journal of Computational and Graphical Statistics, 27(4), 685-700. doi:10.1080/10618600.2018.1473779
The stable version of stablelearner is available from CRAN:
install.packages("stablelearner")The latest development version can be installed from R-universe:
install.packages("stablelearner", repos = "https://zeileis.R-universe.dev")The package is available under the General Public License version 3 or version 2
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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