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glmtree  

Logistic Regression Trees
View on CRAN: Click here


Download and install glmtree package within the R console
Install from CRAN:
install.packages("glmtree")

Install from Github:
library("remotes")
install_github("cran/glmtree")

Install by package version:
library("remotes")
install_version("glmtree", "0.3.1")



Attach the package and use:
library("glmtree")
Maintained by
Adrien Ehrhardt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-06
Latest Update: 2024-03-06
Description:
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) .
How to cite:
Adrien Ehrhardt (2019). glmtree: Logistic Regression Trees. R package version 0.3.1, https://cran.r-project.org/web/packages/glmtree. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:44), 0.1 (2019-10-06 14:50), 0.2 (2020-10-03 09:50), 0.3.1 (2024-03-06 14:20)
Other packages that cited glmtree R package
View glmtree citation profile
Other R packages that glmtree depends, imports, suggests or enhances
Complete documentation for glmtree
Functions, R codes and Examples using the glmtree R package
Some associated functions: generateData . glmdisc-class . glmtree . initialization . normalizedGini . predict_tweaked . 
Some associated R codes: allClasses.R . cutDataset.R . generateData.R . glmtree.R . initialization.R . normalizedGini.R . predict_tweaked.R .  Full glmtree package functions and examples
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