glmtree: Logistic Regression Trees

A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <>.

Version: 0.1
Imports: partykit, magrittr, methods, dplyr, caret
Suggests: FactoMineR, knitr, testthat, covr, rmarkdown
Published: 2019-10-06
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: glmtree results


Reference manual: glmtree.pdf
Vignettes: 'glmtree' package
Package source: glmtree_0.1.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: glmtree_0.1.tgz, r-oldrel: glmtree_0.1.tgz


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