NEWS.md
In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

gp3sequences 0.3.0

Added CRAN status, download, DOI, GitHub Actions, pkgdown, and license badges; added canonical CRAN, website, source, issue, and CRAN-check links; and documented CRAN and GitHub installation paths.
Synchronized README, package description, citation metadata, and pkgdown-facing release status for 0.3.0; README counts are now derived from the public NAMESPACE and vignette sources.
Added a common analysis-contract and provenance foundation for systematic 0.3.0 hardening.
Added sequence_capabilities(), audit_sequence_analysis(), and compare_sequence_analysis_results() for machine-readable capability, contract, and reproducibility audits.
Added deterministic contract, metamorphic, and adversarial test foundations plus a machine-readable public-API validation ledger.
Added auditable longitudinal and panel-sequence preparation, summaries, change metrics, and plots.
Added bounded non-contiguous subsequence enumeration, prevalence summaries, group comparisons, and plots.
Added optional mgcv-based time-varying state and transition models with participant random-effect support.
Added dependency-light multichannel and covariate-dependent categorical hidden Markov models.
Added design-aware permutation and bootstrap comparisons with explicit associational and causal guardrails.
Added six focused visualisation helpers, deterministic tests, an installed-package smoke test, and six synthetic articles.

gp3sequences 0.2.0

Released the advanced standalone sequence-analysis API with 46 exported functions and 47 manual pages.
Added four integrated workflow articles, bringing the package website to nine synthetic, reproducible articles.
Prepared the complete reference and article collection for publication at the main package website.
Configured pkgdown so future validated master updates publish directly to the main website.
Added four integrated, user-oriented articles covering getting started, validation and preparation, method selection, and a reproducible synthetic case study.
Added the complete advanced sequence-analysis roadmap.
Added deterministic aligned-position consensus sequences and agreement summaries.
Added descriptive between-group state, transition, and length comparisons.
Added Levenshtein, LCS, optimal-matching, and transition-profile distances.
Added hierarchical, PAM, and CLARA clustering interfaces, validation metrics, representatives, ensembles, and stability resampling.
Added transition networks, centrality, communities, higher-order transition models, prediction, and sequence-level bootstrap intervals.
Added dependency-light categorical HMM and mixture-HMM estimation, decoding, summaries, and model-comparison tables.
Added optional adapters for TraMineR, arulesSequences, GrpString, seqHMM, igraph, and common gp3tools-style data frames.
Added four synthetic workflow articles, deterministic tests, and an end-to-end smoke test.
Initial public release.
Created the independent gp3sequences package scaffold.
Added MIT licensing and package-level documentation.
Added the initial testthat edition 3 infrastructure.
Defined the initial neutral scope and interpretation boundary.
Added the initial README and pkgdown website configuration.
Added a multi-platform GitHub Actions R CMD check workflow for macOS, Windows, Ubuntu release, and Ubuntu devel.
Added a GitHub Actions pkgdown workflow for automated website building and deployment.
Added audit_sequence_data() and validate_sequence_data() for structured input diagnostics.
Added prepare_sequence_data() with explicit missing-state, duplicate-position, repeated-state, duration, and unknown-state policies.
Added encode_sequence_data() for deterministic state dictionaries and transparent state codes.
Added summarise_sequence_states(), summarise_sequence_transitions(), and format_sequence_paths() for structural sequence summaries.
Added extract_sequence_ngrams() for deterministic contiguous motif enumeration with explicit overlap handling.
Added summarise_sequence_motifs(), filter_sequence_motifs(), and format_sequence_motifs() for transparent motif prevalence, filtering, and reporting.
Added summarise_sequence_motif_positions() and format_sequence_motif_positions() for deterministic structural location summaries.
Added dependency-free plot_sequence_motifs() and plot_sequence_motif_positions() visualisations plus a synthetic contiguous-motif workflow article.