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# CITATION 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 "longitree" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'longitree: Decision Tree Analysis for Longitudinal Measurement Data'
version: 1.0.1
doi: 10.1007/s11634-025-00665-2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.longitree
abstract: Implements tree-based methods for longitudinal data. The package constructs
  decision trees that evaluate both the main effect of a covariate and its interaction
  with time through a weighted splitting criterion. It supports single-tree construction,
  bootstrap-based multiple-tree selection, and tree visualisation. For methodological
  details, see Obata and Sugimoto (2026) <https://doi.org/10.1007/s11634-025-00665-2>.
authors:
- family-names: Obata
  given-names: Ryoto
  email: ryoto.obata@gmail.com
- family-names: Sugimoto
  given-names: Tomoyuki
preferred-citation:
  type: article
  title: A decision tree analysis for longitudinal measurement data and its applications
  authors:
  - family-names: Obata
    given-names: Ryoto
    email: ryoto.obata@gmail.com
  - family-names: Sugimoto
    given-names: Tomoyuki
  journal: Advances in Data Analysis and Classification
  year: '2026'
  doi: 10.1007/s11634-025-00665-2
repository: https://ryt1207.r-universe.dev
commit: 7f54074c575885917689e05fdece4bc86e35a3f6
date-released: '2026-05-16'
contact:
- family-names: Obata
  given-names: Ryoto
  email: ryoto.obata@gmail.com