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gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Provides transparent, reproducible, and auditable tools for validating, preparing, encoding, and summarising ordered categorical sequence data. Supports configurable long-format inputs, explicit preprocessing policies, machine-readable diagnostics, structural motif analysis, and focused visualisation for scanpaths, navigation paths, behavioural states, and other ordered state data.

Version: 0.1.0
Imports: graphics, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-07-30
DOI: 10.32614/CRAN.package.gp3sequences
Author: Stefanos Balaskas ORCID iD [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: Contiguous Motif Workflow (source, R code)

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gp3sequences to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.