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lagdynamics 0.32

CRAN release: 2026-07-21

New features

  • transitions() now reads inference results, not only fitted models. It accepts the output of bootstrap_lsa(), certainty_lsa(), stability_lsa(), permute_lsa(), compare_lsa(), bayes_compare_lsa() and lsa_lags(), and returns the same tidy one-row-per-transition data frame. significant = TRUE keeps the transitions the method itself flags, and sort = "strength" orders them by that method’s signed effect. Previously the per-transition table of an inference result was reachable only through as.data.frame(), because the print methods show a header summary alone.
  • The transitions() generic is now transitions(fit, ...), so each class declares only the arguments backed by columns it actually has. Existing calls on a fit are unaffected.

Documentation

  • Vignettes restore the user’s options() after changing digits, as CRAN requires.
  • Vignettes read every result with transitions() rather than coercing it with as.data.frame(), and select rows with the significant argument rather than subsetting.
  • Removed the citations, reference lists, DOIs, documentation URLs and linked author metadata that 0.31 added to the shipped vignettes.

lagdynamics 0.31

CRAN candidate

  • Prepared the package for first CRAN submission.
  • Moved ggplot2 and cograph from Suggests to Imports so the plotting surface works out of the box; plotting examples now run during checks. The analytical core still depends only on base R.
  • Added a dedicated interoperability vignette covering wide data, long event logs, tna, Nestimate, cograph, and lsa_to_tna().
  • Added linked author metadata and Dynalytics framework links to all shipped vignettes.
  • Restored lsa_to_tna() for handing an lsa fit to tna tooling.
  • Added ingestion of Nestimate::build_network() netobjects through their prepared sequence data.
  • Stored the bundled engagement data as a data frame so tna::tna(engagement) works directly.
  • Removed dead package-site URLs from CRAN-visible metadata.
  • Added future CRAN installation instructions to the README.
  • Included NEWS.md in the source package.

lagdynamics 0.3.0

Interoperability and documentation

  • Added integration tests for cograph, Nestimate, and the Dynalytics evidence surface.
  • Added native TNA-style aliases: weights = "tna" and weights = "relative" now map to transition probabilities.
  • Updated plotting documentation and vignettes to use weights = "tna" for probability-weighted transition networks.
  • Added and reorganised vignettes:
    • intro: conceptual overview and package map.
    • lagdynamics: concise quick start.
    • workflow: complete applied workflow.
    • interop: interoperability with sibling packages.
    • lag-transition-networks: transition-network interpretation.
    • confirmatory: evidence and uncertainty workflow.
    • plotting: plot gallery.
  • Removed public documentation references to unexported internals.
  • Made long-format input more flexible: action is the only mandatory long-format column, with optional actor, session, time, and order.
  • Added warnings for single-sequence bootstrap and permutation cases where the requested procedure has limited inferential meaning.

lagdynamics 0.2.0

Confirmatory workflow and group comparison

lagdynamics 0.1.0

Initial implementation