Define the sequence data | Fit the model | Read the fitted transitions | Visualise the fitted model | Add uncertainty evidence | Start from a raw event log | Fit groups | Compare groups | In short
Package: lagdynamics 0.32
Mohammed Saqr
lagdynamics: Lag Sequential Analysis, Dynamics, and Lag Transition Networks
A modern, tidy toolkit for lag sequential analysis and lag transition networks of categorical event and sequence data. It provides an accessible, unified workflow for fitting, inspecting, visualising, and comparing lagged transition patterns, with tidy outputs throughout. Includes confirmatory tools for uncertainty, robustness, and group differences, including bootstrap intervals, analytic certainty, split-half reliability, case-drop stability, permutation tests, and Bayesian group comparisons. Supports long-format event-log import, import from common sequence and state-sequence objects, multi-lag analysis, structural-zero constraints, transition and initial probabilities, plotting of transition structures, and a directed transfer-entropy measure. The lag sequential analysis framework follows Sackett and others (1979) <doi:10.3758/BF03205679>.
Authors:
lagdynamics_0.32.tar.gz
lagdynamics_0.32.tar.gz(r-4.7-any)lagdynamics_0.32.tar.gz(r-4.6-any)
lagdynamics_0.32.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lagdynamics/json (API)
| # Install 'lagdynamics' in R: |
| install.packages('lagdynamics', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mohsaqr/lagdynamics/issues
Datasets:
- ai_long - Human-AI Vibe Coding Interaction Events
- engagement - Student Engagement Trajectories
- group_regulation - Collaborative Learning Self-Regulation Sequences
- group_regulation_long - Group Regulation Long Event Log
Last updated from:c2336c6daa. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 202 | ||
| source / vignettes | OK | 240 | ||
| linux-release-x86_64 | OK | 199 | ||
| wasm-release | OK | 131 |
Exports:bayes_compare_lsabootstrap_lsacertainty_lsacompare_lsaget_lsa_engineinitiallag_profilelist_lsa_engineslsalsa_bidirectionallsa_classicallsa_datalsa_ipflsa_lagslsa_nonparallel_dominancelsa_parallel_dominancelsa_to_tnalsa_transitionslsa_two_cellnodespermute_lsaplot_chordsplot_forestplot_polarplot_transitionsregister_lsa_enginereliability_lsastability_lsateststransfer_entropytransition_probabilitiestransitionsunregister_lsa_engine
Dependencies:clicographcpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
A complete workflow: from sequences to a group comparison
Last update: 2026-07-21
Started: 2026-07-21
Confirmatory testing: matching claims to evidence
A specific transition: edge-level uncertainty | A significant transition: robustness to information loss | The whole network: structural reliability | More than chance: an assumption-free null | Two groups: inference under exchangeability | In short
Last update: 2026-07-21
Started: 2026-07-21
Get started with lagdynamics
Fit a model | Read the result | Plot the model | Check uncertainty | Where next
Last update: 2026-07-21
Started: 2026-07-21
Interoperability: wide data, long logs, tna, and Nestimate
Same grammar as TNA | Wide sequence data | Long event logs | tna objects | Nestimate objects | Back to tna
Last update: 2026-07-21
Started: 2026-07-21
Introduction
Summary | The method | What the package provides | Fitting and reading a model | Visualisation | Group comparison | Confirmatory battery | Interoperability | Bundled data
Last update: 2026-07-21
Started: 2026-07-21
Lag transition networks
The data and the fitted model | Reading the model | The network | Inference | Summary
Last update: 2026-07-21
Started: 2026-07-21
Plotting lag-sequential models
Residual heatmap | Residual network | Transition network (a TNA model) | Chord and sunburst | Uncertainty forests | Group comparison | Grouped fits | The worker functions | In short
Last update: 2026-07-21
Started: 2026-07-21
