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.

Version:	0.3.0
Imports:	graphics, methods, stats, utils
Suggests:	arules, arulesSequences, cluster, GrpString, igraph, knitr, mgcv, rmarkdown, seqHMM, testthat (≥ 3.0.0), TraMineR
Published:	2026-08-23
DOI:	10.32614/CRAN.package.gp3sequences
Author:	Stefanos Balaskas [aut, cre]
Maintainer:	Stefanos Balaskas <s.balaskas at ac.upatras.gr>
BugReports:	https://github.com/stefanosbalaskas/gp3sequences/issues
License:	MIT + file LICENSE
URL:	https://stefanosbalaskas.github.io/gp3sequences/, https://github.com/stefanosbalaskas/gp3sequences
NeedsCompilation:	no
Citation:	gp3sequences citation info
Materials:	README, NEWS
CRAN checks:	gp3sequences results

Documentation:

Reference manual:

gp3sequences.html , gp3sequences.pdf

Vignettes:

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

Downloads:

Package source:	gp3sequences_0.3.0.tar.gz
Windows binaries:	r-devel: gp3sequences_0.3.0.zip, r-release: gp3sequences_0.1.0.zip, r-oldrel: gp3sequences_0.3.0.zip
macOS binaries:	r-release (arm64): gp3sequences_0.3.0.tgz, r-oldrel (arm64): gp3sequences_0.3.0.tgz, r-release (x86_64): gp3sequences_0.3.0.tgz, r-oldrel (x86_64): gp3sequences_0.3.0.tgz
Old sources:	gp3sequences archive

Linking:

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