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type: software
license: MIT
title: 'lagseq: Modern Lag Sequential Analysis with Tidy Transition Networks'
version: 0.1.0
doi: 10.32614/CRAN.package.lagseq
abstract: 'A modern, tidy, pipe-friendly toolkit for lag sequential analysis of categorical
  event sequences. A single ''lsa()'' constructor fits classical, two-cell, bidirectional,
  and dominance engines through a pluggable registry, with multi-lag analysis and
  structural-zero constraints, and every result is read through a verb that returns
  a tidy one-row-per-observation data frame. A confirmatory testing battery quantifies
  the evidence behind each claim: sequence-level bootstrap and analytic Dirichlet-Multinomial
  certainty for edge uncertainty, split-half reliability for the whole network, case-drop
  stability, permutation tests, and permutation- and Bayesian-based group comparison.
  Fits visualize through a single ''plot()'' verb (residual heatmap, transition network,
  chord, sunburst, and forest views) and interoperate with the ''tna'', ''Nestimate'',
  and ''TraMineR'' ecosystems, both ingesting their sequence objects and converting
  to network objects. All numerical methods are implemented from primary literature
  and cross-validated against published worked examples and base-R primitives.'
authors:
- family-names: Saqr
  given-names: Mohammed
  email: saqr@saqr.me
repository: https://mohsaqr.r-universe.dev
repository-code: https://github.com/mohsaqr/lagseq
commit: cf0ee1b6eef12287ebdd78d40dd98252748d51fe
url: https://github.com/mohsaqr/lagseq
date-released: '2026-06-20'
contact:
- family-names: Saqr
  given-names: Mohammed
  email: saqr@saqr.me