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gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research

Provides governance-first infrastructure for leakage-resistant predictive modelling and validation using 'Gazepoint'-derived research data. Supports explicit task and role declarations, feature-provenance manifests, group-aware holdout splitting and repeated resampling, repository-aware fold evaluation, explicit governed tuning, nested grouped resampling, fold-local preprocessing, discrimination and calibration metrics, target-aligned uncertainty, external-validation and transportability reports, prediction-to-decision governance, target-aware conformal prediction, dataset-shift auditing, locked analysis plans, portable model artifacts, robustness diagnostics, environment provenance, research-object export, model cards, and reproducibility evidence. Intended only for explicitly observed, non-sensitive outcomes and declared scientific purposes. Use is prohibited for person identification, biometric authentication, health or protected-attribute inference, and direct or indirect inference of emotion, stress, personality, deception, cognition, comprehension, intent, or other mental states.

Version: 0.3.0
Depends: R (≥ 4.1.0)
Suggests: bundle, callr, openssl, renv, jsonlite, keras3, knitr, nnet, pkgdown, ranger, rmarkdown, testthat (≥ 3.0.0), xgboost
Published: 2026-08-23
DOI: 10.32614/CRAN.package.gp3ml
Author: Stefanos Balaskas ORCID iD [aut, cre]
Maintainer: Stefanos Balaskas <s.balaskas at ac.upatras.gr>
BugReports: https://github.com/stefanosbalaskas/gp3ml/issues
License: MIT + file LICENSE
URL: https://stefanosbalaskas.github.io/gp3ml/, https://CRAN.R-project.org/package=gp3ml, https://github.com/stefanosbalaskas/gp3ml
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: gp3ml results

Documentation:

Reference manual: gp3ml.html , gp3ml.pdf
Vignettes: Frozen Analysis-Plan Governance (source, R code)
API Stability and Public Object Contracts (source, R code)
Experimentally assigned condition discrimination (source, R code)
Contaminated feature manifests and leakage cases (source, R code)
Cross-Package Interoperability Contracts (source, R code)
Dataset Shift and Robustness Auditing (source, R code)
Governed Decision Thresholds and Abstention (source, R code)
External validation and transportability reporting (source, R code)
Governance Evidence and Standards Crosswalks (source, R code)
Target-Aware Conformal Prediction (source, R code)
Integrated Synthetic Gazepoint Research Workflow (source, R code)
Nested grouped resampling (source, R code)
Explicitly observed behavioural endpoint (source, R code)
Optional Engines and Cross-Platform Portability (source, R code)
Participant generalization (source, R code)
Simultaneous participant and stimulus generalization (source, R code)
Portable Models and Research Artifacts (source, R code)
Predefined recording-quality review status (source, R code)
Reproducibility Hardening (source, R code)
Stimulus generalization (source, R code)

Downloads:

Package source: gp3ml_0.3.0.tar.gz
Windows binaries: r-devel: gp3ml_0.3.0.zip, r-release: gp3ml_0.1.0.zip, r-oldrel: gp3ml_0.3.0.zip
macOS binaries: r-release (arm64): gp3ml_0.3.0.tgz, r-oldrel (arm64): gp3ml_0.3.0.tgz, r-release (x86_64): gp3ml_0.3.0.tgz, r-oldrel (x86_64): gp3ml_0.3.0.tgz
Old sources: gp3ml archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gp3ml 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.