glmtree (0.1)

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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) .

Maintainer: Adrien Ehrhardt
Author(s): Adrien Ehrhardt [aut, cre]

License: GPL (>= 2)

Uses: caret, dplyr, magrittr, partykit, FactoMineR, testthat, knitr, rmarkdown, covr

Released 2 months ago.



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