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, fold-local preprocessing, governed model engines, discrimination and calibration metrics, bootstrap uncertainty, external-validation reports, model cards, and reproducibility reports. 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:	0.1.0
Depends:	R (≥ 4.1.0)
Suggests:	jsonlite, keras3, knitr, nnet, pkgdown, ranger, rmarkdown, testthat (≥ 3.0.0), xgboost
Published:	2026-07-30
DOI:	10.32614/CRAN.package.gp3ml
Author:	Stefanos Balaskas [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://github.com/stefanosbalaskas/gp3ml
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	gp3ml results

Documentation:

Reference manual:

gp3ml.html , gp3ml.pdf

Downloads:

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

Linking:

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