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>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, graphics, partykit, ggparty, ggplot2, lme4, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-03-26 |
| DOI: | 10.32614/CRAN.package.longitree |
| Author: | Ryoto Obata [aut, cre], Tomoyuki Sugimoto [aut] |
| Maintainer: | Ryoto Obata <ryoto.obata at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Citation: | longitree citation info |
| Materials: | NEWS |
| CRAN checks: | longitree results |
| Reference manual: | longitree.html , longitree.pdf |
| Package source: | longitree_1.0.0.tar.gz |
| Windows binaries: | r-devel: longitree_1.0.0.zip, r-release: longitree_1.0.0.zip, r-oldrel: longitree_1.0.0.zip |
| macOS binaries: | r-release (arm64): longitree_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): longitree_1.0.0.tgz, r-oldrel (x86_64): longitree_1.0.0.tgz |
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