Package: longitree 1.0.2
Ryoto Obata
longitree: Decision Tree Analysis for Longitudinal Measurement Data
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>.
Authors:
longitree_1.0.2.tar.gz
longitree_1.0.2.zip(r-4.7-x86_64)longitree_1.0.2.zip(r-4.7-arm64)longitree_1.0.2.zip(r-4.6-x86_64)longitree_1.0.2.zip(r-4.6-arm64)
longitree_1.0.2.tar.gz(r-4.7-arm64)longitree_1.0.2.tar.gz(r-4.7-x86_64)longitree_1.0.2.tar.gz(r-4.6-arm64)longitree_1.0.2.tar.gz(r-4.6-x86_64)
longitree_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
longitree/json (API)
| # Install 'longitree' in R: |
| install.packages('longitree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ltreedata - Sample longitudinal data for decision tree examples
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9529afa36c. Checks:9 OK, 1 WARNING. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 134 | ||
| linux-devel-x86_64 | OK | 174 | ||
| source / vignettes | OK | 226 | ||
| linux-release-arm64 | OK | 126 | ||
| linux-release-x86_64 | OK | 160 | ||
| windows-devel-arm64 | OK | 232 | ||
| windows-devel-x86_64 | OK | 175 | ||
| windows-release-arm64 | WARNING | 227 | ||
| windows-release-x86_64 | OK | 129 | ||
| wasm-release | OK | 113 |
Exports:longitreelongitreesselectionplotthreetreestreeplot
Dependencies:backportsbootcheckmateclicpp11farverFormulaggpartyggplot2gluegtableinumisobandlabelinglatticelibcoinlifecyclelme4MASSMatrixminqamvtnormnlmenloptrpartykitR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrpartS7sandwichscalesstrucchangesurvivalvctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Construction of a Decision Tree for Longitudinal Data | longitree plot.longitree predict.longitree print.longitree summary.longitree |
| Construction of Multiple Decision Trees for Longitudinal Data | longitrees |
| Sample longitudinal data for decision tree examples | ltreedata |
| Select Optimal Three-Tree Combination | selectionplot |
| Fit and Evaluate Three Selected Trees | plot.threetrees predict.threetrees print.threetrees summary.threetrees threetrees |
| Decision Tree Plot Visualisation for Longitudinal Data | treeplot |