1. Why flows need their own view | 2. Aggregated flows: the alluvial | 3. Individual flows: one line per student | 4. Flows inside a single trajectory | 5. Controlling colour, bundling, and layout | 6. The transition network: movement collapsed over time | Sequences and network side by side | Where flow plots fit
This package is hidden from search results because it is not hosted in the universe of the upstream owner
sonsoleslp. To fix this you can add URL: https://mohsaqr.r-universe.dev/VaSSTra to the package DESCRIPTION file. See also theR-universe documentation.Package: VaSSTra 0.4.0
Mohammed Saqr
VaSSTra: Simple Variables to States to Sequences to Trajectories
A small, pipe-friendly implementation of the VaSSTra workflow for longitudinal multivariate data. It provides explicit steps to turn variables into states, states into aligned sequences, and sequences into trajectory groups, followed by tidy trajectory descriptions. A single call runs the complete analysis with transparent, overridable automation of data roles and cluster counts, and an evaluation verb compares the fitted clustering against its alternatives. 'Nestimate' provides the default sequence-clustering backend and all sequence plots. No 'TraMineR' dependency is required.
Authors:
VaSSTra_0.4.0.tar.gz
VaSSTra_0.4.0.zip(r-4.7-any)VaSSTra_0.4.0.zip(r-4.6-any)VaSSTra_0.4.0.zip(r-4.5-any)
VaSSTra_0.4.0.tgz(r-4.6-any)VaSSTra_0.4.0.tgz(r-4.5-any)
VaSSTra_0.4.0.tar.gz(r-4.7-any)VaSSTra_0.4.0.tar.gz(r-4.6-any)
VaSSTra_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
VaSSTra/json (API)
| # Install 'VaSSTra' in R: |
| install.packages('VaSSTra', repos = c('https://mohsaqr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sonsoleslp/vasstra/issues
Pkgdown/docs site:https://sonsoles.me
Datasets:
- engagement - Longitudinal Student Engagement
Last updated from:04490e7199. Checks:9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 171 | ||
| source / vignettes | OK | 274 | ||
| linux-release | OK | 170 | ||
| macos-release | OK | 146 | ||
| macos-oldrel | OK | 138 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 145 | ||
| windows-oldrel | OK | 131 | ||
| wasm-release | OK | 112 |
Exports:evaluatefit_indicesfit_state_choicefit_trajectory_choiceflow_plotlaunch_appset_labelsstate_choicesstate_descriptivesstep1_statesstep2_sequencesstep3_trajectoriesstep4_describetrajectory_choicestransition_centralitytransition_plottransition_tablevasstra
Dependencies:brglm2cliclustercpp11data.tableenrichwithfarverggplot2gluegtableidiographicisobandlabelinglatticelifecycleMASSMatrixmclustNestimatenleqslvnnetnumDerivpsychnetsR6RColorBrewerrlangS7scalesstatmodvctrsviridisLitewithr
Flow Plots
Last update: 2026-08-25
Started: 2026-07-24
Getting started with VaSSTra
Using your own data | One call | Evaluate the clustering | Tidy fit indices | Name groups after inspecting them | The same analysis in four explicit steps | State plots | Sequence and trajectory plots | Compare candidates in full detail
Last update: 2026-08-25
Started: 2026-07-24
VaSSTra Tutorial: Variables, States, Sequences, Trajectories
1. The complete analysis in one call | 2. Choosing and defending the number of states | 3. Understanding what the states are | 4. Sequences: how states unfold over time | 5. Trajectories: groups of similar journeys | 6. Describing what the trajectories mean | 7. Relabeling without refitting | 8. Full control: explicit steps and grid comparisons
Last update: 2026-08-25
Started: 2026-07-24
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a VaSSTra Analysis to a Tidy Table | as.data.frame.vasstra |
| Longitudinal Student Engagement | engagement |
| Evaluate a Fitted Clustering | evaluate evaluate.vasstra evaluate.vasstra_states evaluate.vasstra_trajectories |
| Tidy Fit Indices for a Fitted Clustering | fit_indices fit_indices.vasstra fit_indices.vasstra_states fit_indices.vasstra_trajectories |
| Fit One State Choice | fit_state_choice |
| Fit One Trajectory Choice | fit_trajectory_choice |
| Plot State Flows Between Consecutive Time Points | flow_plot flow_plot.vasstra flow_plot.vasstra_sequences flow_plot.vasstra_trajectories |
| Launch the Interactive VaSSTra App | launch_app |
| Plot a Complete VaSSTra Analysis | plot.vasstra |
| Plot a Clustering Evaluation | plot.vasstra_evaluation |
| Plot the Evaluations of a Complete Fit | plot.vasstra_evaluations |
| Plot VaSSTra State Sequences with Nestimate | plot.vasstra_sequences |
| Plot State-Clustering Choices | plot.vasstra_state_choices |
| Plot Estimated VaSSTra States | plot.vasstra_states |
| Plot VaSSTra Trajectories with Nestimate | plot.vasstra_trajectories |
| Plot Trajectory-Clustering Choices | plot.vasstra_trajectory_choices |
| Relabel Fitted States or Trajectories | set_labels set_labels.vasstra set_labels.vasstra_states set_labels.vasstra_trajectories |
| Compare Choices for the Number and Method of States | state_choices |
| Descriptive Statistics per State | state_descriptives state_descriptives.vasstra state_descriptives.vasstra_states |
| Step 1: Turn Variables into States | step1_states |
| Step 2: Turn States into Sequences | step2_sequences |
| Step 3: Turn Sequences into Trajectories | step3_trajectories |
| Step 4: Describe the Trajectories | step4_describe |
| Compare Choices for the Number and Method of Trajectories | trajectory_choices |
| State Transition Network Centralities | transition_centrality transition_centrality.vasstra transition_centrality.vasstra_sequences transition_centrality.vasstra_trajectories |
| Plot the State Transition Network | transition_plot transition_plot.vasstra transition_plot.vasstra_sequences transition_plot.vasstra_trajectories |
| State Transition Table | transition_table transition_table.vasstra transition_table.vasstra_sequences transition_table.vasstra_trajectories |
| Run the Complete VaSSTra Workflow | vasstra |