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/>.


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install.packages("glmtree")

0.1 by Adrien Ehrhardt, 2 months ago


https://adimajo.github.io


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