Transparent Analysis of Ordered Categorical Sequences R package gp3sequences version 0.3.0 Provides transparent, reproducible, and auditable tools for validating, preparing, encoding, summarising, comparing, modelling, and diagnosing ordered categorical sequence data. Supports explicit preprocessing policies, contiguous motifs and bounded subsequences, consensus and group comparisons, edit and transition distances, clustering and stability diagnostics, transition networks, higher-order models, categorical, mixture, multichannel, and covariate hidden Markov models, longitudinal panel workflows, time-varying models, design-aware inference, analysis contracts and provenance audits, and guarded adapters to specialist sequence-analysis packages. Software Imports: graphics, methods, stats, utils Suggests: arules, arulesSequences, cluster, GrpString, igraph, knitr, mgcv, rmarkdown, seqHMM, testthat (>= 3.0.0), TraMineR Stefanos Balaskas <s.balaskas@ac.upatras.gr> Comprehensive R Archive Network (CRAN) Stefanos Balaskas [aut, cre] (ORCID: <https://orcid.org/0000-0003-2444-9796>) MIT + file LICENSE (https://CRAN.R-project.org/package=gp3sequences/LICENSE) 2026-08-23 application/tgz https://CRAN.R-project.org/package=gp3sequences doi:10.32614/CRAN.package.gp3sequences