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) <https://github.com/adimajo/manuscrit_these/releases/>.

Version: 0.2
Imports: partykit, magrittr, methods, dplyr, caret
Suggests: FactoMineR, knitr, testthat, covr, rmarkdown
Published: 2020-10-03
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt at centraliens-lille.org>
BugReports: https://github.com/adimajo/glmtree/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://adimajo.github.io
NeedsCompilation: no
Citation: glmtree citation info
CRAN checks: glmtree results

Downloads:

Reference manual: glmtree.pdf
Vignettes: 'glmtree' package
Package source: glmtree_0.2.tar.gz
Windows binaries: r-devel: glmtree_0.2.zip, r-release: glmtree_0.2.zip, r-oldrel: glmtree_0.2.zip
macOS binaries: r-release (arm64): glmtree_0.2.tgz, r-release (x86_64): glmtree_0.2.tgz, r-oldrel: glmtree_0.2.tgz
Old sources: glmtree archive

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