Package: eyeprocess
Type: Package
Title: Harmonize Eye-Tracking, Pupillometry, Biometrics, and
        Psychometric Process Data
Version: 0.11.1
Authors@R: c( person("Stefanos", "Balaskas", role = c("aut", "cre"), email = "s.balaskas@ac.upatras.gr", comment =
    c(ORCID = "0000-0003-2444-9796")) )
Description: Provides an extensible, vendor-neutral framework for importing, validating, harmonizing, transforming,
    visualizing, and modelling eye-tracking, pupillometry, behavioural, and biometric process data. The package uses
    explicit timebase and coordinate-space registries, preserves native fields and provenance, and offers first-class
    adapters for Gazepoint Analysis and Gazepoint Biometrics exports alongside generic and vendor-specific importers.
    Downstream tools support trial and area of interest reconstruction, signal-quality auditing, feature derivation,
    scanpath analysis, response-time and item-response workflows, and optional psychometric modelling engines. An
    integrated Gazepoint workflow produces quality-control evidence, media-trial reconstruction, plots, analysis-ready
    process tables, item response theory (IRT)-ready response structures, and reproducible reports. Brain Imaging Data
    Structure (BIDS) interoperability for eye-tracking and validation-release infrastructure support disk-backed storage,
    independent multi-vendor evidence, grouped validation, simulation calibration, model-equivalence audits, and
    explicitly experimental advanced psychometric process models. Research-scale infrastructure adds deterministic
    resumable Monte Carlo execution, atomic validation checkpoints, explicit advanced-model promotion gates, independent
    multi-vendor evidence registries, stable object contracts, partitioned disk-backed storage, optional probabilistic
    engines, and a fully synthetic multimodal benchmark for reproducibility testing. The measurement-intelligence
    programme adds probabilistic and compositional area of interest (AOI) analysis, measurement-uncertainty propagation,
    calibration and device-transportability audits, process reliability, phase-amplitude pupil registration,
    informative-missingness sensitivity, temporal and spatial process models, item-bank decision optimization, fairness
    monitoring, conditional process reference distributions, and evidence-provenance graphs.
License: MIT + file LICENSE
URL: https://stefanosbalaskas.github.io/eyeprocess/,
        https://github.com/stefanosbalaskas/eyeprocess
BugReports: https://github.com/stefanosbalaskas/eyeprocess/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, methods, splines, stats, utils, withr
Suggests: brms, ggplot2, jsonlite, knitr, lme4, LNIRT, mirt, rmarkdown,
        TAM, arrow, diffIRT, GDINA, OpenMx, TraMineR, testthat (>=
        3.0.0), callr, cmdstanr, eyetrackingR, future, future.apply,
        openssl, PupillometryR, rtdists, seqHMM, LSMjml, MASS, mgcv,
        nnet, survival, eRm, FactoMineR, mice, missForest, plm,
        psychotree, ranger, robfilter, tidyLPA, loo, posterior,
        targets, equateIRT, catR, mirtCAT
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-13 10:23:23 UTC; Stefanos-PC
Author: Stefanos Balaskas [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2444-9796>)
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Repository: CRAN
Date/Publication: 2026-09-28 09:30:08 UTC
