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/>.


Reference manual

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0.2 by Adrien Ehrhardt, a year ago


Report a bug at https://github.com/adimajo/glmtree/issues

Browse source code at https://github.com/cran/glmtree

Authors: Adrien Ehrhardt [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports partykit, magrittr, methods, dplyr, caret

Suggests FactoMineR, knitr, testthat, covr, rmarkdown

See at CRAN