Package: transitiontrees 0.1.2
transitiontrees: Transition Trajectories and Dynamics of Variable-Length Pathways or Sequences
Analyzes transition trajectories in event, sequence, and ordered data, focusing on how states follow one another, how far processes unfold, and where pathways branch or converge. Trajectories are modeled using variable-order prediction suffix trees (Ron, Singer, & Tishby, 1996) <doi:10.1023/A:1026490906255>, implemented in both frequency-based and prediction-based forms. The framework includes multiple pruning, validation, and smoothing techniques to ensure model robustness. Visualization options include transition trees, radial sunburst diagrams, transition heatmaps, and forward trajectory trees.
Authors:
transitiontrees_0.1.2.tar.gz
transitiontrees_0.1.2.tar.gz(r-4.7-any)transitiontrees_0.1.2.tar.gz(r-4.6-any)
transitiontrees_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
transitiontrees/json (API)
NEWS
| # Install 'transitiontrees' in R: |
| install.packages('transitiontrees', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mohsaqr/transitiontrees/issues
- ai_long - AI-collaboration messages
- engagement - Student engagement state sequences
- group_regulation_long - Collaborative-regulation events
- trajectories - Student engagement trajectories
Last updated from:037bd79833. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 356 | ||
| linux-release-x86_64 | OK | 185 | ||
| wasm-release | OK | 116 |
Exports:bootstrap_pathwayscommon_pathwayscompare_groupscompare_pruningcompare_smoothingcompare_treescontext_treedivergent_pathwaysgenerate_sequencesimpute_sequencesmine_contextsmine_sequencesmodel_fitn_nodespathway_existsperplexityplot_differenceplot_distributionsplot_divergenceplot_pathway_resamplesplot_pathwaysplot_predictiveplot_pruningplot_trajectoriesprepare_inputprune_treequery_pathwayscore_positionsscore_sequencessharp_pathwayssmooth_treesubtreetree_dependencetree_distancetree_pathwaystune_tree
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Getting started: basic analysis and trajectory trees
Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-06-18
Started: 2026-06-18
A complete analysis case: collaborative-regulation sequences
Rendered fromanalysis-case.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-06-18
Started: 2026-06-18
Ecosystem compatibility: TraMineR, tna, and Nestimate
Rendered fromecosystem-compatibility.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-06-18
Started: 2026-06-18
Advanced analysis: smoothing, tuning, comparison, and mining
Rendered fromadvanced-analysis.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-06-18
Started: 2026-06-18
Visualization: every plot, and how to read it
Rendered fromvisualization.Rmdusingknitr::rmarkdownon Jun 18 2026.Last update: 2026-06-18
Started: 2026-06-18
