NEWS

eyeprocess 0.12.0.9000

Development

Development resumes after the cross-platform CI-certified stable v0.12.0 release.
Stable release provenance remains anchored at commit 4d272f025e70207f31fb2baf10cba31ee8bdb996; the v0.12.0 tag and published release assets are unchanged.

CRAN publication status — 2026-09-28

CRAN release: eyeprocess 0.11.1 was published on CRAN on 28 September 2026.
Canonical CRAN package page: https://CRAN.R-project.org/package=eyeprocess.
CRAN package DOI: https://doi.org/10.32614/CRAN.package.eyeprocess.
Release channels remain explicit: CRAN is currently 0.11.1; the newer stable GitHub release is v0.12.0; master is the 0.12.0.9000 development line.

eyeprocess 0.12.0

Release validation status

Release status: v0.12.0 is the stable GitHub release. It was promoted from pre-release after the exact tagged commit passed the complete cross-platform GitHub R-CMD-check matrix.
Local Windows validation — 2026-09-19: installed-package targeted tests PASS; strict measurement-intelligence lane PASS; full local test suite PASS; clean survival-vignette rebuild PASS; pkgdown local build PASS; final package installation PASS.
R CMD check: Windows R 4.6.1, --as-cran, 0 errors / 0 warnings / 0 notes.
Cross-platform certification — 2026-09-19: macOS release, Windows release, Ubuntu release, Ubuntu devel, and Ubuntu oldrel-1 all passed on commit 4d272f025e70207f31fb2baf10cba31ee8bdb996. The pkgdown push workflow, pkgdown release workflow, and GitHub Pages deployment also passed.
Release provenance: tag v0.12.0 remains permanently anchored to commit 4d272f025e70207f31fb2baf10cba31ee8bdb996; the validated release source artifact and SHA-256 remain unchanged.

Event detector multiverse and inference robustness

Adds explicit detector specifications, deterministic detector branches, temporal event matching/agreement, detector-to-AOI/feature propagation, identical-model inference, stability summaries, diagnostic plots, and reproducible reporting.
Uses the full declared detector multiverse as the convergence denominator; failed, missing-term, unavailable-backend, and non-converged branches remain in the scientific record. Duplicate coefficient terms from custom callbacks are rejected.
Adds per-detector input_audit accounting for propagated rows, target-AOI rows, quality exclusions, non-finite outcomes, model rows used, and model status without recoding missing outcomes to zero.
Adds the main methodology vignette, failure-clinic vignette and executable example, reporting/interpretation guidance, API documentation, pkgdown discovery, and cross-language contract coverage.
Adds a runnable pkgdown visual-reporting vignette using built-in detector branches only, with event-count, temporal-agreement, AOI-feature, coefficient-stability, model-input-accountability, publication-sequence, interpretation-boundary, and API-handoff sections.

Censored gaze-latency survival examples and site guidance

Adds a standalone evidence-verification example for time to first source/evidence AOI entry, including right-censoring construction, clustered Cox, Weibull/log-normal AFT sensitivity models, diagnostics, interpretation, and manuscript reporting guidance.
Restores the survival methodology articles and the complete survival API group to pkgdown navigation so later site additions do not hide the survival workflow.
Adds a troubleshooting clinic covering incomplete windows, time-zero events, sparse events, flagged proportional-hazards diagnostics, low-quality gaze, and competing-event boundaries without changing the public statistical API.
Adds a survival reproducibility/preregistration checklist and a site-contract regression test that fails if survival articles, API references, or required worked-example files disappear from the source tree.
Expands the plot-rich survival website guidance with Kaplan-Meier, single-event 1-KM, and empirical hazard/risk-set visualizations plus interpretation boundaries.

Standardized spatial data quality

Adds a dedicated Data Quality plot gallery and reporting clinic covering accuracy, RMS-S2S, BCEA, sampling intervals, the four-panel dashboard, review-rule sensitivity, limitations, and manuscript-ready reporting.
Repairs public export/governance for simulate_gaze_survival_inputs() and restores missing multilevel-mediation Rd coverage so package/vignette and pkgdown builds can execute the documented workflows.
Adds vendor-neutral target-referenced accuracy, RMS sample-to-sample and population-SD precision, BCEA with explicit probability, realized sampling behavior, and reason-aware data loss.
Adds a canonical gaze_quality_report with metric-specific units, provenance, study-defined review thresholds, insufficiency/timestamp flags, and an explicit no-automatic-exclusion contract.
Adds deterministic six-profile 9-point validation data, frozen R/Python numerical fixtures, sensitivity-analysis guidance, manuscript-reporting guidance, and dedicated pkgdown navigation.
RMS-S2S never bridges missing samples; mixed units fail; malformed thresholds fail; missing grouping identifiers are retained and audited.
Long observed intervals are distinguished from the estimated number of nominal samples represented by those gaps.

AOI perturbation and uncertainty analysis

Adds vendor-neutral AOI geometry validation, reproducible dilation/erosion/translation/jitter and anisotropic perturbation specifications, and explicit pixel/degree-of-visual-angle conversion.
Adds sample/fixation reassignment matrices, participant/trial/AOI stability summaries, feature recomputation, empirical assignment frequencies, and optional fixed model-callback propagation with retained failure and convergence evidence.
Adds rectangle and convex-polygon support, explicit overlap ambiguity, screen-boundary policies, synthetic cross-language parity fixtures, base-R robustness plots, and a runnable advertising/interface vignette.
Robustness frequencies remain descriptive sensitivity summaries for the declared perturbation set and are not probabilities that a scientific conclusion is true.

CRAN portability hotfix

Make default Arrow/Parquet compression portable across Arrow builds: prefer zstd, fall back to snappy, then uncompressed when the default codec is unavailable.
Preserve explicit compression requests: an explicitly requested unavailable Arrow codec fails with a clear error instead of being silently substituted.
Replace repository-relative README links with absolute GitHub URLs.
Add a package spelling allowlist for legitimate eye-tracking, biometric, and storage terminology flagged by CRAN incoming checks.

eyeprocess 0.11.0

M4 trait-conditioned latent response-process states

Added M4 as a sequential extension of the frozen M3 response + RT + gaze + pupil measurement backbone, with marginalized latent response-process states over explicitly ordered sequences.
Added K=1 as a formal null, K=2 as the conservative reference, RT-anchored state-label identification, posterior state probabilities/entropy, trait-conditioned initial/transition probabilities, and state-dependent RT/gaze/pupil deviations while keeping the scored-response Rasch equation state-independent.
Added structural/posterior identifiability auditing, state diagnostics, PPC, focused M3-to-M4 ablation and response-target process-information evidence, six negative controls, K/modelling sensitivity, deterministic state-aligned recovery, and multi-domain validation statuses.
Added consolidated S3 plots, twelve versioned examples, six M4 articles, and an explicit computational boundary: recovery/sensitivity/controls are design-only unless analysts opt into backend fitting.
M4 state labels remain neutral statistical response-process states. State detection is not construct validation and does not automatically identify strategy, attention, engagement, effort, cognitive load, emotion, guessing, or misconduct.

eyeprocess 0.10.0.9000

M3 response + RT + gaze + pupil measurement evidence

Added the M3 four-channel response + RT + gaze + pupil reference likelihood with correlated person/item structures and explicit pupil measurement nuisance terms for baseline, luminance, gaze position, quality, blink status, interpolation status, and time-on-task.
Added retained-truth simulation with informative, weak, null, redundant, and confound-only pupil scenarios plus MCAR/quality/gaze/ability/device pupil-dropout stress mechanisms.
Added the full eight-model response-anchored channel-ablation lattice, response-target PSIS-LOO/ability-uncertainty process-information evidence, non-additivity/redundancy contrasts, channel-conflict diagnostics, and sensor value-of-information screens.
Added pupil-specific negative controls, an explicit functional-pupil score bridge to the existing trajectory/deconvolution machinery, recovery/coverage tooling, M3 PPC, consolidated S3 plots, nine examples, and six articles.
Pupil remains a neutral measurement channel: M3 does not equate pupil dilation with cognitive load, effort, attention, or arousal; device equivalence and nonignorable missingness remain validation questions rather than defaults.

M2 three-way response + RT + gaze evidence

Added a likelihood-faithful M2 reference implementation for Rasch responses, lognormal response times, and negative-binomial gaze-fixation counts with correlated person-side and item-side parameter structures.
Added compatible M0/M1 Stan reference models for response-target channel ablation.
Added M2 simulation with retained truth, structural/data identifiability audit, posterior predictive W/L/M checks, response-target PSIS-LOO and ability-variance process-information summaries, negative controls, and repeated estimator recovery.
Added consolidated M2 plot methods, six examples, four development articles, and explicit no-fallback CmdStan gating.
M2 remains experimental/evidence-gated: synthetic recovery and model diagnostics do not establish construct validity, empirical generalizability, or causal interpretation of process channels.

Starts the Unified Multimodal Latent Process-IRT development programme with a canonical person-item-trial measurement contract, deterministic four-channel simulation, posterior process-information metrics, channel ablation, explicit backend gating, validation objects, native plots, development Stan programmes, examples, tests, and articles.
M2/M3 CmdStan estimators remain experimental/gated until recovery, SBC, misspecification, identifiability, and empirical-reproduction evidence is frozen. Availability is not treated as construct validity.

eyeprocess 0.9.0.9000

Executed validation evidence and governed IRT — Milestone #2

Adds deterministic validation-plan, acceptance-rule, MCSE, stress, reliability, negative-control, evidence-freeze, and evidence-atlas infrastructure.
Adds transparent IRT probability, information, scoring, residual-fit, local-dependence, targeting, classification-precision, missing-by-design, and prior-sensitivity utilities.
Adds multidimensional/testlet/latent-regression design support, scale linking/equating diagnostics, DIF/DTF effect summaries, CDM/Q-matrix utilities, adaptive-testing governance, and response-time/process-aware IRT contracts.
Adds exact optional-engine adapters for mirt, TAM, GDINA, LNIRT, eRm, equateIRT, catR, and mirtCAT; unavailable engines are explicitly gated and never replaced by simpler estimators.
Adds 11 articles, deterministic synthetic fixtures, validation-execution scripts, paper-ready evidence tables, and 12 standalone examples.
All Milestone #2 validation outputs are software-validation evidence. They do not establish construct validity of gaze, pupil, response-time, sequence, or psychometric measures.
Closes the 0.9 public-API lifecycle registry across all 1,139 current exports using a curated module policy and explicit experimental/gated overrides; future unregistered exports remain unreviewed by design.

Empirical validation and recovery

Adds explicit process-validation designs, known-truth simulation fixtures, recovery/bias/RMSE/coverage/convergence summaries, Monte Carlo error diagnostics, frozen validation references, and validation evidence matrices.
Adds simulation-based calibration rank diagnostics and interval-coverage calibration curves for Bayesian/process estimators where posterior draws are available.

Governed workflows

Adds explicit analysis specifications and dependency-aware pipelines with manifests, resumable execution, audits, reports, Graphviz/Mermaid views, and targets interoperability templates.
Substantive preprocessing/model choices remain user-declared; the pipeline layer does not silently select methods.

API consolidation

Adds API inventory, lifecycle registry, canonical-interface mapping, replacement audits, surface summaries, and migration-oriented lifecycle diffs.
Existing interfaces are not aggressively removed in 0.9; unclassified APIs remain explicitly unreviewed.

Measurement quality and reliability

Adds a guarded process-measure registry, split-half/test-retest reliability, ICC(A,1), Bland-Altman repeatability, temporal stability, and bootstrap reliability.
Adds empirical calibration-error models, RMS successive-sample gaze precision, effective sampling frequency, sampling-irregularity audits, data-loss profiles, calibration drift, uncertainty propagation, probabilistic AOIs, and analysis-resolution compatibility checks.
Adds pupil preprocessing-order and baseline-window sensitivity audits.

Sensitivity and negative controls

Adds defensible multiverse grids, specification curves, decision stability, decision leverage, fragility/rank diagnostics, and method-comparison wrappers.
Adds temporal feature provenance, leakage sentinels, outcome-blind feature construction audits, placebo-window summaries, permutation/shift negative controls, and null benchmarks.

Reproducibility and evidence

Adds analysis/session manifests, reproducibility fingerprints, file hash manifests, lightweight PROV-oriented lineage graphs, RO-Crate 1.3 metadata export, and provenance DOT export.
Adds software-paper claim matrices, evidence bundles, descriptive readiness/gap audits, evidence freezing, and manuscript reproducibility manifests.

Computational validation

Adds benchmark designs, runtime/memory summaries, synthetic corruption plans, robustness stress tests, and stress-tolerance frontiers.

Scientific governance

Process features remain measurement channels rather than automatic mental-state or diagnostic labels.
Data-quality thresholds, resolution guards, and stability thresholds are explicit workflow rules rather than universal validity cutoffs.
Negative-control/leakage flags identify analysis properties and are not misconduct labels.
Exact gated frontier methods remain gated; 0.9 does not substitute easier estimators under existing frontier function names.

eyeprocess 0.8.0

Process measurement and deployment governance

Added biometric/process pre-flight governance and explicit exclusion manifests.
Added deployment-drift auditing across device, site, vendor, and stimulus version.
Added temporal process windows, AOI trajectory features, growth models, and window-sensitivity audits.
Added advanced pupil frequency, activity, event-deconvolution, confound, fatigue, and filtering workflows.
Added visual-context/testlet IRT and multiblock process representations.
Added process-profile mixtures, external-validity tools, streaming scoring, and validation bundles.
Added item-parameter seeding and candidate-bank auditing.
Added nonclinical presentation/accessibility sensitivity workflows.
Added process-decision proxies and structured/unstructured process-feature comparisons.
Added advanced Rasch, mixture, imputation, Bayesian, and gaze-aware 3PL diagnostic infrastructure.
Added explicit gated frontier estimators where an exact validated implementation is not available.
Added 11 new pkgdown articles, focused 0.8 tests, reference documentation, and validation registries.

Validation

Focused 0.8 tests: PASS.
Complete eyeprocess test suite: PASS.
pkgdown::check_pkgdown(): PASS.
R CMD check: 0 errors, 0 warnings, 0 notes.
Installation with vignettes and installed-package smoke validation: PASS.
GitHub PR #9: all 8 CI checks passed before merge.

Scientific governance

Process evidence is not automatically interpreted as a mental-state, clinical, ability, or misconduct diagnosis.
Frontier estimators remain explicitly gated rather than silently substituting simpler estimators.
Experimental and custom model specifications retain conservative maturity labels.

eyeprocess 0.7.0.9000

Process-IRT validation framework

Added the process-IRT validation framework and associated validation contracts.
Expanded advanced process-model validation, diagnostics, and evidence infrastructure.
Preserved explicit experimental and validation-gated maturity boundaries for advanced estimators.
Added focused validation coverage and pkgdown documentation for the 0.7 programme.

eyeprocess 0.6.0

Measurement uncertainty and AOI evidence

Added probabilistic AOI assignment, fuzzy transition summaries, compositional AOI analysis, and explicit measurement-uncertainty propagation and budgets.
Added calibration-drift detection, offline recalibration, process reliability and Generalizability Theory, and cross-device linking/equivalence audits.

Temporal, spatial, and pupil-process science

Added pupil phase-amplitude registration, informative-missingness and MNAR sensitivity, recurrence and cross-recurrence analysis, experimental fixation point-process models, representative scanpaths, and cognitive-episode segmentation.

Decision intelligence and provenance

Added multi-objective item-bank optimization, dynamic process-DIF and fairness drift, conditional process centiles, and auditable evidence/decision provenance graphs.
Added a shared S3 plotting framework, 18 targeted test modules, eight articles, CI, manual documentation, and a standalone validation programme.

eyeprocess 0.5.0.9000

Research-scale validation and reproducible orchestration

Added deterministic Monte Carlo job plans, atomic checkpoints, resumption, parallel execution, manifests, recovery/calibration/failure summaries, plots, reports, and model-promotion audits.
Added manual research-validation workflows and chunk-based execution scripts; full simulations remain opt-in and are not run during ordinary package checks.

Advanced model hardening

Hardened dynamic IRTree models with transition designs, structural zeros, irregular time, uncertain states, multinomial and optional Stan hidden-state engines, decoding, residuals, comparison, and recovery programmes.
Added functional pupil–IRT, theory-constrained strategy-mixture, and Wiener gaze-diffusion engines with explicit scientific-evidence gates.

Vendor evidence, contracts, storage, and reproducibility

Added independent multi-vendor corpus registration, fingerprinting, redaction, semantic comparison, round-trip loss audits, and declared/fixture/empirical compatibility matrices.
Added stable API/object contracts, atomic partitioned Arrow/Parquet/CSV/RDS storage, schema migration, corruption detection, optional-engine adapters, and a fully synthetic multimodal public benchmark.

eyeprocess 0.4.0.9000

Added Eye-Tracking-BIDS import/export and optional RDS/Parquet/Arrow storage.
Added interoperability contracts for eye-tracking, sequence, GDINA, diffIRT, and OpenMx ecosystems.
Added multi-vendor empirical-validation audits and an executable validation-release programme.
Added parameter-recovery, interval-coverage, simulation-based calibration, advanced-model evidence gates, engine-equivalence, empirical-reproduction, grouped-validation, leakage, multiverse, benchmarking, reporting, and public-benchmark infrastructure.
Added dynamic gaze-state IRTree, functional pupil-IRT, theory-defined strategy-IRT, and gaze-informed diffusion model families with explicit experimental safeguards.
Added tests, plots, templates, scripts, and four research vignettes.

eyeprocess 0.3.0.9001

eyeprocess 0.3.0.9000

Added run_gazepoint_workflow() as the complete, reproducible downstream workflow for real Gazepoint folders.
Added media-run reconstruction into explicit person-by-item-by-trial intervals with optional study-specific item and condition maps.
Added integrated QC evidence for file pairing, canonical validation, timebases, coordinate spaces, sampling rates, gaze and pupil validity, trial coverage, episodes, and multimodal clock overlap.
Added pupil interpolation/filtering and blink derivation with baseline correction disabled by default unless explicitly declared.
Added valid-only biometric analysis values and trial-level EDA, heart-rate, IBI, dial, pupil, gaze, fixation, and AOI summaries while preserving native data.
Added one-row-per-person-item-trial process tables, AOI/fixation/pupil/biometric tables, feature dictionaries, response templates, and conditional response/response-time matrices.
Added a complete plot suite, canonical export, source fingerprint, workflow specification, rerun script, session information, Markdown/HTML report, and workflow-result object.
Added workflow validation, documentation, a dedicated vignette, Windows runner script, and regression tests with and without observed responses.
The workflow never fabricates responses, scores, IRT estimates, or psychological interpretations.

eyeprocess 0.2.0.9002

Renamed the packaged Gazepoint Analysis 7.2.0 regression fixtures to portable, space-free filenames.
Updated all fixture references while preserving filename-based inference of the canonical participant identity User 3.
Added regression coverage requiring portable packaged fixture paths.
No importer, canonical schema, biometric mapping, or empirical-validation behavior changed.

eyeprocess 0.2.0.9001

Preserved the successful real Gazepoint Analysis 7.2.0 corpus validation while aligning legacy synthetic tests with current channel semantics.
Treats the legacy GSR fixture field as gsr_raw; processed conductance remains represented by GSR_US/EDA columns.
Added an explicit recording_id argument to folder-level Gazepoint import and forwards it safely for single-recording folders.
Rejects a single recording_id override for multi-recording folders rather than creating duplicate canonical identifiers.
Added regression coverage for direct and generic folder imports with recording-ID overrides.

eyeprocess 0.2.0.9000

Added empirical support for Gazepoint Analysis 7.2.0 User *_all_gaze.csv, User *_fixations.csv, and multi-section Data_Summary_export_*.csv files.
Added filename-based participant and recording identity inference for paired Gazepoint exports whose USER field is blank.
Added TIMETICK(f=...) normalization to zero-based recording seconds while retaining native ticks, media-relative time, source media identifiers, AOI labels, saccade measures, and video-frame values.
Namespaced vendor fixation identifiers by media because Gazepoint restarts FPOGID for each media item.
Added explicit Gazepoint biometric channels and validity handling for raw GSR, conductance in microsiemens, tonic/phasic components, heart rate, IBI, and engagement dial values.
Added read_gazepoint_summary() and conversion of Gazepoint Data Summary reports into AOI definitions and participant-AOI feature records.
Added paired-folder import, real-structure fixtures, regression tests, and a private six-recording empirical validation corpus.

eyeprocess 0.1.0.9003

Updated the validation-corpus regression test to match the intentional, idempotent behavior of init_validation_corpus(). Repeated initialization now verifies preservation of the manifest, README, and existing case files rather than expecting an obsolete non-empty-directory error.
No package implementation or analysis behavior changed in this patch.

eyeprocess 0.1.0.9002

Removed repeated write.csv() qmethod warnings from canonical-folder serialization on Windows.
Added explicit canonical units for imported biometric channels, including heart rate, interbeat intervals, electrodermal activity, and engagement-dial streams; unknown channels retain the explicit unit vendor_units.
Made init_validation_corpus() idempotent and non-destructive. Re-running it now preserves existing manifests and case files unless overwrite = TRUE.
Added regression tests for warning-free canonical serialization, populated biometric units, and safe repeated corpus initialization.

eyeprocess 0.1.0.9001

Corrected binocular eye-sample validation to use the composite key recording_id + sample_id + eye, eliminating false duplicate-key errors.
Added versioned canonical-folder serialization with an explicit missing-value token, preserving the distinction between NA and genuine empty text while retaining compatibility with folders written by earlier development builds.
Prevented Pupil Labs and EyeLink detectors from probing proprietary binary files as delimited text and suppressed detector-level parsing warnings.
Made validate_real_exports.R exit cleanly with instructions when an initialized corpus has no cases, rather than raising an error.
Added regression tests for binocular keys, missing-versus-empty round trips, and warning-free expected rejection of SMI IDF input.
Added reproducible empirical export validation for individual files, folders, and initialized, versioned multi-vendor corpora.
Added declared-versus-fixture-versus-empirical compatibility profiles.
Added source manifests with file hashes, field inventories, delimiter and format-detection evidence.
Added canonical schema-coverage and source-preservation audits.
Added deterministic dataset fingerprints, canonical round-trip comparison, and table-level compatibility evidence.
Added linked-identifier anonymization and shareable validation bundles that exclude raw vendor data, source paths, original filenames, and file hashes by default; human disclosure review remains mandatory.
Added dedicated source validators for Tobii, Pupil Labs, EyeLink, SMI, and generic mapped exports, so all built-in adapters expose a validation hook.
Added unique case identifiers, manifest-relative path resolution, exact format-family evidence assignment, a real-export validation vignette, manifest template, plots, reports, and regression tests.

eyeprocess 0.0.0.9004

Added eyeprocess-package to a dedicated Package overview section in the pkgdown reference index, resolving the final pkgdown::check_pkgdown() configuration error.
No analytical, import, schema, plotting, or modelling behaviour changed.

eyeprocess 0.0.0.9003

Fixed the Windows installer version check by removing read.dcf() field-name attributes and comparing normalized character scalars. This eliminates a false mismatch when the installed and source versions are identical.
Added the canonical pkgdown site URL to DESCRIPTION while retaining the GitHub repository URL, satisfying pkgdown::check_pkgdown().
Retained all 0.0.0.9002 package-check and runtime fixes.

eyeprocess 0.0.0.9002

Removed stale hello() scaffold artefacts during local installation and validation.
Replaced the unexported brms::gaussian() reference with stats::gaussian().
Removed non-standard evaluation from stream construction and Gazepoint biometric matching.
Excluded the repository-level CITATION.cff from built source packages while retaining inst/CITATION.
Hardened the Windows installer against reinstalling a loaded namespace and against false version-success messages.

eyeprocess 0.0.0.9001

Fixed type-preserving row binding when canonical tables contain zero rows.
Added stable identifiers to the interpretive-warning registry.
Removed all-missing extrema warnings from fixation and saccade preprocessing.

eyeprocess 0.0.0.9000

Introduces the canonical eye_dataset relational object.
Adds generic CSV/TSV mapping and an extensible adapter registry.
Adds first-class Gazepoint Analysis and Gazepoint Biometrics importers.
Adds dedicated Tobii Pro Lab, Pupil Labs Neon/Core, EyeLink ASC/report, and SMI BeGaze text adapters.
Adds explicit clock and coordinate-space management.
Adds trial reconstruction, AOI registration and assignment, ocular-event derivation, pupil preprocessing, quality audits, feature extraction, plots, simulations, reporting, and optional psychometric modelling interfaces.