gp3sequences: Transparent Analysis of Ordered Categorical Sequences

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.

Package overview README.md Bounded Non-Contiguous Subsequence Mining Choosing a Sequence-Analysis Method Consensus Sequences and Descriptive Group Comparisons Contiguous Motif Workflow Design-Aware Sequence Group Inference Extended Sequence Visualisations Getting Started with gp3sequences Latent Sequence Models and Optional Adapters Longitudinal and Panel Sequence Workflows Multichannel and Covariate-Dependent HMMs Reproducible Sequence Analysis: A Synthetic Case Study Sequence Data Validation and Preparation Sequence Distances, Clustering, and Stability Time-Varying Condition Comparisons Transition Networks and Higher-Order Models

Vignettes Man pages API and functions Files

Package details
Author	Stefanos Balaskas [aut, cre] (ORCID: <https://orcid.org/0000-0003-2444-9796>)
Maintainer	Stefanos Balaskas <s.balaskas@ac.upatras.gr>
License	MIT + file LICENSE
Version	0.3.0
URL	https://stefanosbalaskas.github.io/gp3sequences/ https://github.com/stefanosbalaskas/gp3sequences
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("gp3sequences")`