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) <>.

Package details

AuthorAdrien Ehrhardt [aut, cre]
MaintainerAdrien Ehrhardt <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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glmtree documentation built on Jan. 13, 2021, 4:58 p.m.