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: 2026-09-28 16:07:28 UTC; root
Author: Stefanos Balaskas [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-2444-9796>)
Maintainer: Stefanos Balaskas <s.balaskas@ac.upatras.gr>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-28 09:30:08 UTC
RemoteUrl: https://github.com/cran/eyeprocess
RemoteRef: HEAD
RemoteSha: f83fe9eec82d73a7a13f525fadbce2e798f5afce