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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
Added the Dynalytics-style confirmatory evidence battery: certainty_lsa() , bootstrap_lsa() , reliability_lsa() , stability_lsa() , and permute_lsa() .
Added group comparison with compare_lsa() and Bayesian group comparison with bayes_compare_lsa() .
Added grouped lsa() fits through group = ..., with grouped methods for transitions() , nodes() , tests() , initial() , plotting, reliability, and comparison workflows.
Added tidy as.data.frame() methods for inference and comparison result objects.
Added the unified plotting surface: residual heatmaps, residual networks, TNA probability networks, chord diagrams, sunbursts, uncertainty forests, and group-comparison plots.
Added native transition and initial probabilities: transition_probabilities() and initial() .
Added bundled long-format data for examples and tests.
lagdynamics 0.1.0
Initial implementation
Created a from-scratch, clean-room implementation of lag sequential analysis for categorical event sequences.
Added the unified lsa() constructor and canonical sequence handling through lsa_data() and lsa_transitions() .
Added five built-in engines: classical, two_cell, bidirectional, parallel_dominance, and nonparallel_dominance.
Added convenience wrappers: lsa_classical() , lsa_two_cell() , lsa_bidirectional() , lsa_parallel_dominance() , and lsa_nonparallel_dominance() .
Added the pluggable engine registry: register_lsa_engine() , get_lsa_engine() , list_lsa_engines() , and unregister_lsa_engine() .
Added tidy reading verbs: transitions() , nodes() , tests() , initial() , and summary() .
Added multi-lag helpers with lsa_lags() and lag_profile() .
Added structural-zero handling through loops = FALSE and arbitrary structural-zero matrices.
Added experimental transfer_entropy() for directed categorical information-flow analysis.
Kept runtime dependencies minimal: only base R packages are imported (grDevices, grid, stats, and utils).