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/>.

Package details

AuthorAdrien Ehrhardt [aut, cre]
MaintainerAdrien Ehrhardt <[email protected]>
LicenseGPL (>= 2)
Version0.1
URL https://adimajo.github.io
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glmtree")

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glmtree documentation built on Oct. 6, 2019, 5:05 p.m.