Decision Tree Analysis for Longitudinal Measurement Data R package longitree version 1.0.0 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) <doi:10.1007/s11634-025-00665-2>. Software Depends: R (>= 3.5.0) Imports: stats, graphics, partykit, ggparty, ggplot2, lme4, utils Suggests: testthat (>= 3.0.0) Ryoto Obata <ryoto.obata@gmail.com> Comprehensive R Archive Network (CRAN) Ryoto Obata [aut, cre], Tomoyuki Sugimoto [aut] GPL (>= 3) 2026-03-26 application/tgz https://CRAN.R-project.org/package=longitree doi:10.32614/CRAN.package.longitree