eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and
Psychometric Process Data
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.
| Version: |
0.11.1 |
| 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 |
| Published: |
2026-09-28 |
| DOI: |
10.32614/CRAN.package.eyeprocess (may not be active yet) |
| Author: |
Stefanos Balaskas 
[aut, cre] |
| Maintainer: |
Stefanos Balaskas <s.balaskas at ac.upatras.gr> |
| BugReports: |
https://github.com/stefanosbalaskas/eyeprocess/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://stefanosbalaskas.github.io/eyeprocess/,
https://github.com/stefanosbalaskas/eyeprocess |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://stan-dev.r-universe.dev |
| Citation: |
eyeprocess citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
eyeprocess results |
Documentation:
| Reference manual: |
eyeprocess.html , eyeprocess.pdf
|
| Vignettes: |
Adaptive testing design and governance (source, R code)
Validation Before Promotion: Recovery, SBC, PPC, and Transportability (source, R code)
Advanced model programme and validation (source, R code)
Advanced pupillometry representations and confound control (source, R code)
Advanced Rasch, mixture-IRT, and imputation sensitivity (source, R code)
API lifecycle and canonical interfaces (source, R code)
Stable APIs, scalable storage, and external adapters (source, R code)
Bayesian and 3PL Process Diagnostics (source, R code)
Public benchmark and software-paper reproduction (source, R code)
Computational benchmarking and synthetic stress testing (source, R code)
Calibration uncertainty and eye-tracking data quality (source, R code)
Cognitive diagnosis and Q-matrix governance (source, R code)
Post-deployment psychometric-biometric drift monitoring (source, R code)
Dynamic IRTree and transition-model hardening (source, R code)
Empirical validation programmes in eyeprocess (source, R code)
Evidence and Decision Provenance (source, R code)
Experimental Process-IRT Methods and Evidence Gates (source, R code)
Frozen validation evidence programme (source, R code)
Functional pupil-IRT modelling (source, R code)
Gaze-informed diffusion-IRT modelling (source, R code)
Complete Gazepoint Downstream Workflow (source, R code)
Gazepoint and Gazepoint Biometrics Workflows (source, R code)
Getting Started with eyeprocess (source, R code)
Governed end-to-end analysis pipelines (source, R code)
Importing and Harmonizing Eye-Tracking Exports (source, R code)
Independent multi-vendor validation corpus (source, R code)
Interoperability, Eye-Tracking-BIDS, and storage (source, R code)
External IRT engines and exact-method gating (source, R code)
IRT information, scoring, and diagnostics (source, R code)
IRT linking, DIF, DTF, and invariance evidence (source, R code)
IRT recovery, SBC, and misspecification evidence (source, R code)
Item-Bank Decisions, Fairness Drift, and Reference Centiles (source, R code)
Item seeding, accessibility review, and presentation fairness (source, R code)
M2 Posterior Predictive Checks and Negative Controls (source, R code)
M2 Process Information and Channel Ablation (source, R code)
M2 Recovery and Identifiability (source, R code)
M2 Three-Way Reference Model: Response, RT, and Gaze (source, R code)
M3 device transport, falsification controls, and sensor value (source, R code)
M3: Four-channel response, RT, gaze, and pupil measurement (source, R code)
M3 functional pupil bridge: from trajectories to joint measurement (source, R code)
M3 process information: ablation, redundancy, and sensor value (source, R code)
M3 pupil measurement: confounds, quality, and missingness (source, R code)
M3 recovery, identifiability, and failure-case validation (source, R code)
Identifiability, State Separation, and Label Uncertainty (source, R code)
Negative Controls and State-Count Sensitivity (source, R code)
Does Latent State Structure Add Measurement Information? (source, R code)
Recovery and Validation of Latent Response-Process States (source, R code)
Specifying and Fitting the M4 Reference Model (source, R code)
Trait-Conditioned Latent Response-Process States (source, R code)
Manual Installation of Multimodal Backends (source, R code)
Measurement accountability: pupil latency, event plausibility, and validation (source)
Measurement-quality stress tests and negative controls (source, R code)
Multi-vendor empirical validation (source, R code)
Multiblock process structure, profiles, and external validity (source, R code)
Multidimensional, testlet, and latent-regression IRT (source, R code)
Multimodal Process IRT: Responses, Time, Gaze, and Missingness (source, R code)
Multiple-Response Items, Revisiting, and Local Dependence (source, R code)
Sensitivity, specification curves, and decision stability (source, R code)
Negative controls, placebo windows, and temporal leakage (source, R code)
Preprocessing, AOIs, and Feature Engineering (source, R code)
Probabilistic AOIs and Compositional Attention (source, R code)
Process-decision proxies and research-frontier gates (source, R code)
Process Information and Channel Ablation (source, R code)
Process-IRT Model Atlas: What to Fit, What to Validate, What Not to Claim (source, R code)
Process-measure registry, repeatability, and reliability (source, R code)
Process pre-flight and anomaly governance (source, R code)
Response-time and process-aware IRT (source, R code)
Psychometric Process-Data Models (source, R code)
Pupil Measurement Boundaries in Multimodal IRT (source, R code)
Pupil Phase-Amplitude Registration and Missingness (source, R code)
Process Reliability and Device Transportability (source, R code)
Reproducibility fingerprints, provenance, and RO-Crate (source, R code)
Research validation and software-paper programme (source, R code)
Quality, Provenance, and Responsible Interpretation (source, R code)
Representative Scanpaths and Cognitive Episodes (source, R code)
Simulation-based calibration and measurement-resolution guards (source, R code)
Building a software-paper evidence bundle (source, R code)
Streaming scoring and validation evidence bundles (source, R code)
Interoperability with targets-style workflows (source, R code)
Temporal process windows and AOI trajectories (source, R code)
Temporal and Spatial Process Science (source, R code)
Theory-constrained strategy mixtures (source, R code)
Measurement Uncertainty and Recalibration (source, R code)
Unified Multimodal Process-IRT (source, R code)
Validating Real Eye-Tracking Exports (source, R code)
Independent Vendor Validation and Semantic Fidelity (source, R code)
Validation evidence atlas and software-paper reporting (source, R code)
Research-scale validation execution (source, R code)
Visual-context and testlet IRT (source, R code)
|
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