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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "glmtree" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'glmtree: Logistic Regression Trees'
version: 0.4.0
abstract: 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/>.
authors:
- family-names: Ehrhardt
  given-names: Adrien
  email: adrien.ehrhardt@polytechnique.edu
preferred-citation:
  type: manual
  title: 'glmtree: Logistic Regression Trees'
  authors:
  - family-names: Ehrhardt
    given-names: Adrien
    email: adrien.ehrhardt@polytechnique.edu
  year: '2026'
  notes: R package version 0.4.0
  url: https://github.com/adimajo/glmtree
repository: https://cran.r-universe.dev
repository-code: https://github.com/adimajo/glmtree
commit: 13e0cf02e5c25c22844bf39abdf4236a2fb020a5
url: https://adimajo.github.io/glmtree/
date-released: '2026-10-11'
contact:
- family-names: Ehrhardt
  given-names: Adrien
  email: adrien.ehrhardt@polytechnique.edu