# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "eyeprocess" in publications use:' type: software license: MIT title: 'eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data' version: 0.12.0.9000 doi: 10.32614/CRAN.package.eyeprocess identifiers: - type: doi value: 10.32614/CRAN.package.eyeprocess abstract: 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, right-censored gaze-latency survival analysis, temporal and spatial process models, item-bank decision optimization, fairness monitoring, conditional process reference distributions, and evidence-provenance graphs. authors: - family-names: Balaskas given-names: Stefanos email: s.balaskas@ac.upatras.gr orcid: https://orcid.org/0000-0003-2444-9796 preferred-citation: type: manual title: 'eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data' authors: - family-names: Balaskas given-names: Stefanos email: s.balaskas@ac.upatras.gr orcid: https://orcid.org/0000-0003-2444-9796 year: '2026' notes: R package version 0.12.0.9000 url: https://CRAN.R-project.org/package=eyeprocess doi: 10.32614/CRAN.package.eyeprocess repository: https://stefanosbalaskas.r-universe.dev repository-code: https://github.com/stefanosbalaskas/eyeprocess commit: 2f9812ce928a1a2597c2b128465fcff0b41fc60a url: https://stefanosbalaskas.github.io/eyeprocess/ date-released: '2026-10-09' contact: - family-names: Balaskas given-names: Stefanos email: s.balaskas@ac.upatras.gr orcid: https://orcid.org/0000-0003-2444-9796