Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

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Documentation for package ‘eyeprocess’ version 0.11.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

A B C D E F G I L M N O P Q R S T U V W

eyeprocess-package

eyeprocess: Harmonize Eye-Tracking and Psychometric Process Data

-- A --

ablate_multimodal_channels	Create formal channel-ablation datasets
addm_glam_proxy_features	Compute aDDM/GLAM-inspired gaze-evidence proxy features
add_provenance	Create and manage eyeprocess datasets
add_responses	Trials, responses, stimuli, and areas of interest
adjust_pupil_confounds	Extract confound-adjusted pupil values
advanced_model_evidence_spec	Specify evidence required to promote advanced model interfaces
advanced_validation_grid	Construct the advanced-model validation grid
algorithm_facet_effects	Extract algorithm facet effects
align_clock	Coordinate and timebase management
align_response_matrices	Psychometric and process-data models
analysis_decision_entropy	Entropy of an explicitly enumerated analysis-decision space
analysis_environment_snapshot	Snapshot an eyeprocess analysis environment
analysis_readiness	Quality control, sensitivity, and governance
analysis_resolution_guard	Audit compatibility between measurement resolution and an analysis target
anonymize_eye_dataset	Validate real eye-tracking exports and compatibility corpora
aoi_balance_coordinates	Compositional analysis of AOI attention
aoi_membership_probability	AOI membership probabilities from uncertainty draws
aoi_trajectory_features	Extract AOI growth-curve/trajectory features
api_family_map	Map exported APIs to conceptual families
api_lifecycle_diff	Compare two API lifecycle registries
api_surface_summary	Summarise API surface by family and lifecycle status
append_eye_table	Create and manage eyeprocess datasets
apply_clock_transform	Coordinate and timebase management
apply_device_linking	Cross-device and cross-vendor metric linking
apply_offline_recalibration	Calibration drift and offline recalibration
apply_preflight_decision	Apply a pre-flight decision to data explicitly
apply_synthetic_corruption	Apply a synthetic corruption plan
assign_aois	Trials, responses, stimuli, and areas of interest
assign_aois_probabilistic	Probabilistic AOI assignment and uncertainty propagation
assign_process_feature_family	Assign features to conservative process-feature families
assign_trials	Trials, responses, stimuli, and areas of interest
as_eyeprocess_eyeris	Convert common external eye-tracking objects
as_eyeprocess_eyetools	Convert common external eye-tracking objects
as_eyeprocess_eyetrackingr	Convert common external eye-tracking objects
as_eyeprocess_gazer	Convert common external eye-tracking objects
as_eyeprocess_pupillometryr	Convert common external eye-tracking objects
as_eye_biometrics	Export, reporting, and package bridges
as_eye_biometrics.data.frame	Export, reporting, and package bridges
as_eye_biometrics.eye_dataset	Export, reporting, and package bridges
as_eye_dataset	Create and manage eyeprocess datasets
as_eye_dataset.data.frame	Create and manage eyeprocess datasets
as_eye_dataset.default	Create and manage eyeprocess datasets
as_eye_dataset.eye_dataset	Create and manage eyeprocess datasets
as_eye_dataset.gp3_analysis	Export, reporting, and package bridges
as_eye_dataset.gp3_data	Export, reporting, and package bridges
as_eye_dataset.gp3_recording	Export, reporting, and package bridges
as_eye_dataset.gpbiometrics_data	Export, reporting, and package bridges
as_irt_recovery_results	Canonicalise parameter-recovery results
as_procdata_sequence	Convert scanpaths to process/sequence package contracts
as_seqhmm_data	Convert scanpaths to process/sequence package contracts
as_traminer_sequence	Convert scanpaths to process/sequence package contracts
audit_3pl_process_signatures	Identify items for descriptive 3PL/process review
audit_advanced_model_evidence	Audit advanced-model scientific evidence
audit_aois	Quality control, sensitivity, and governance
audit_aoi_separation	Probabilistic AOI assignment and uncertainty propagation
audit_bank_decision_stability	Multi-objective item-bank optimization
audit_benchmark_release	Audit whether benchmark assets are ready for public release
audit_bias	Audit bias
audit_biometric_imputation	Alias emphasizing sensitivity rather than automatic replacement
audit_biometric_preflight	Audit incoming biometric/process data before modelling
audit_candidate_item_bank	Audit a candidate item bank against a seed model
audit_channel_incremental_information	Audit out-of-sample incremental information from a process channel
audit_clock_sync	Coordinate and timebase management
audit_convergence	Audit convergence and classified failures
audit_coordinate_spaces	Coordinate and timebase management
audit_coverage	Audit coverage
audit_decision_provenance	Audit decision provenance and completeness
audit_device_equivalence	Cross-device and cross-vendor metric linking
audit_distractor_attention	Audit distractor attention patterns
audit_episodes	Quality control, sensitivity, and governance
audit_event_order	Quality control, sensitivity, and governance
audit_evidence_dependencies	Evidence and decision provenance graphs
audit_eye_api	Audit API lifecycle completeness and replacement contracts
audit_eye_pipeline	Audit a pipeline definition or completed run
audit_fairness_transportability	Dynamic process-DIF and fairness drift
audit_frontier_model_contract	Audit whether a gated frontier model has a minimum evidence contract
audit_identifiability	Audit empirical identifiability from replicate estimates
audit_interval_width	Audit interval width
audit_irf_shape	Audit item response-function shape departures
audit_item_reduction_sensitivity	Run stepwise Rasch item-reduction as a sensitivity analysis
audit_latent_distribution	Audit the empirical latent-trait distribution
audit_measurement_transportability	Summarise measurement transportability across held-out groups
audit_missingness	Quality control, sensitivity, and governance
audit_model_promotion	Audit promotion readiness for advanced model families
audit_multimodal_identifiability	Audit basic multimodal design identifiability
audit_multimodal_m2_identifiability	Audit structural and data identifiability for M0-M2
audit_multimodal_m3_identifiability	Audit structural and measurement support for M3
audit_multimodal_m4_identifiability	Audit M4 structural and posterior identifiability
audit_multimodal_measurement	Audit a multimodal measurement object
audit_multivariate_process_quality	Alias emphasizing data-quality interpretation of process anomaly auditing
audit_nonparametric_rasch	Run nonparametric Rasch diagnostics with eRm
audit_norm_transportability	Conditional process reference centiles
audit_presentation_accessibility	Audit presentation/accessibility sensitivity without clinical inference
audit_process_adjusted_dif	Audit DIF before and after process-data adjustment
audit_process_anomalies	Audit multivariate process/data-quality anomalies
audit_process_drift	Audit post-deployment psychometric and biometric drift
audit_process_external_validity	Audit external/structural validity of process traits
audit_process_local_dependence	Audit inter-option/process local dependence
audit_process_measurement_invariance	Audit process measurement invariance across facets
audit_process_reliability	Process reliability and Generalizability Theory
audit_process_window_sensitivity	Audit sensitivity of process summaries to temporal window choices
audit_pupil_fatigue_drift	Audit within-person pupil fatigue/trial-order drift
audit_pupil_frequency_stability	Audit stability of pupil frequency features across window lengths
audit_pupil_preprocessing_order	Audit declared order of pupil preprocessing steps
audit_pupil_quality	Quality control, sensitivity, and governance
audit_pupil_registration	Pupil phase-amplitude registration
audit_recalibration	Calibration drift and offline recalibration
audit_rmse	Audit rmse
audit_roundtrip_loss	Audit semantic and numerical loss after a round trip
audit_sampling_irregularity	Audit sampling irregularity
audit_sampling_rate	Quality control, sensitivity, and governance
audit_sbc	Audit SBC rank uniformity
audit_signal_filter	Summarize a signal-filter audit
audit_signal_quality	Quality control, sensitivity, and governance
audit_temporal_leakage	Audit temporal leakage in a feature provenance table
audit_timebase	Coordinate and timebase management
audit_trial_coverage	Quality control, sensitivity, and governance
audit_validation_completion	Audit whether a validation programme is complete
audit_vendor_field_coverage	Audit vendor field coverage against canonical semantics
audit_vendor_validation	Audit a multi-vendor validation corpus
audit_visual_context_dependence	Audit visual-context dependence
autoplot_eyeprocess	Measurement-intelligence plotting and result infrastructure

-- B --

baseline_pupil	Gaze and pupil preprocessing
bayesian_process_diagnostics_dashboard	Summarize Bayesian process-model diagnostics
bayesian_process_diagnostic_flags	Extract compact Bayesian process-model diagnostic flags
benchmark_expected_outputs	Return expected benchmark outputs
benchmark_eyeprocess	Benchmark an eyeprocess operation
benchmark_eye_storage	Benchmark storage formats and query operations
benchmark_memory_estimate	Memory estimate for an R object or generated problem size
benchmark_scaling_curve	Estimate scaling exponent from benchmark results
bind_process_windows	Bind compatible process-window objects
biometric_imputation_sensitivity	Run biometric-feature imputation as a sensitivity analysis
bootstrap_process_reliability	Bootstrap ICC reliability by resampling participants
bootstrap_representative_scanpath	Representative scanpaths and scanpath distributions
build_aoi_visits	Trials, responses, stimuli, and areas of interest
build_compatibility_matrix	Build the declared/fixture/empirical compatibility matrix
build_evidence_graph	Evidence and decision provenance graphs
build_gazepoint_media_trials	Reconstruct media presentations as analysis trials
build_item_responses	Trials, responses, stimuli, and areas of interest
build_stimulus_intervals	Trials, responses, stimuli, and areas of interest
build_trials	Trials, responses, stimuli, and areas of interest

-- C --

calibration_drift_profile	Calibration drift profile across sessions/batches
calibration_error_model	Build an empirical bivariate calibration-error model
calibration_sensitivity_grid	Sensitivity grid for deterministic calibration offsets
calibration_transfer_audit	Audit transfer of calibration across devices/sessions/sites
canonical_eye_api	Canonical API mapping
canonical_table_names	Canonical schemas and coordinate spaces
check_feature_level	Quality control, sensitivity, and governance
check_local_dependence	Psychometric and process-data models
check_process_leakage	Quality control, sensitivity, and governance
classify_item_missingness	Classify item missingness using exposure and response evidence
collect_eye_storage	Collect a disk-backed eye dataset
collect_validation_evidence	Collect validation evidence into a common bundle
collect_validation_jobs	Collect validation checkpoints from one or more directories
combine_eye_datasets	Mappings and adapter registry
compact_eye_dataset	Create and manage eyeprocess datasets
compare_aoi_compositions	Compositional analysis of AOI attention
compare_aoi_definitions	Quality control, sensitivity, and governance
compare_aoi_methods	Compare explicit AOI assignment methods
compare_aoi_trajectories	Compare AOI trajectory feature objects
compare_bayesian_process_models	Compare Bayesian process models by LOO or Bayes factor
compare_decision_manifests	Compare two research decision manifests
compare_decision_provenance	Evidence and decision provenance graphs
compare_deployment_batches	Compare two deployment batches descriptively
compare_diffusion_accuracy_rt	Compare diffusion and conventional accuracy-RT models
compare_dynamic_transition_models	Compare dynamic transition models
compare_engine_adapters	Compare multiple external-engine adapter results
compare_episode_structure	Cognitive-episode change-point detection
compare_eye_datasets	Validate real eye-tracking exports and compatibility corpora
compare_fixation_methods	Compare explicit fixation-detection methods
compare_functional_scalar_models	Compare functional and scalar pupil summaries
compare_hard_probabilistic_aoi	Compare hard and probabilistic AOI assignments
compare_irt_models	Compare multimodal IRT model objects
compare_latent_distribution_models	Compare simple latent-distribution reference models
compare_model_engines	Compare equivalent model engines
compare_parametric_nonparametric_irf	Compare conventional logistic and flexible IRF shapes
compare_preprocessing	Quality control, sensitivity, and governance
compare_presentation_fairness	Compare outcomes across presentation variants
compare_process_criterion_models	Compare process external-validity models
compare_process_models	Compare explicit process-model specifications
compare_process_profile_solutions	Compare candidate process-profile solutions
compare_pupil_kernels	Compare pupil deconvolution kernels
compare_pupil_preprocessing	Compare explicit pupil-preprocessing methods
compare_raw_adjusted_pupil	Compare raw and confound-adjusted pupil values
compare_reproducibility_fingerprints	Compare two reproducibility fingerprints
compare_scanpath_distributions	Representative scanpaths and scanpath distributions
compare_signal_filters	Compare multiple signal filters
compare_strategy_heterogeneity	Compare mixture and continuous heterogeneity descriptions
compare_uncertainty_budgets	Process measurement-uncertainty budgets
compare_validation_engines	Compare validation engines on common recovery output
compare_vendor_semantics	Compare semantic mappings between vendors
compare_visual_context_irt	Compare base and visual-context IRT models
compatibility_evidence_matrix	Build a detailed compatibility evidence matrix
context_factor_effects	Extract visual-context factor effects/loadings
convert_coordinates	Coordinate and timebase management
convert_xy	Coordinate and timebase management
coordinate_fidelity_audit	Coordinate semantic-fidelity audit
coordinate_space	Coordinate and timebase management
coverage_calibration_curve	Interval coverage calibration curve
create_public_benchmark	Create a public, de-identified benchmark bundle
create_validation_bundle	Validate real eye-tracking exports and compatibility corpora
crossed_grouped_cv	Cross-classified grouped cross-validation
crossed_grouped_folds	Create cross-classified grouped folds
crossmodal_recurrence_model	Measurement-intelligence compatibility adapters
cross_device_process_equating_audit	Cross-device process-scale equating audit
cross_recurrence	Recurrence and cross-recurrence analysis
cross_version_adapter_regression	Compare adapter output across software/format versions

-- D --

data_quality_reporting_table	Compact reporting table for eye-tracking data quality
decision_manifest_diff	Alias for manifest comparison emphasizing changed decision paths
decision_manifest_hash	Stable hash of decision content
decision_manifest_table	Flatten a decision manifest to a table
decision_space_coverage	Coverage of a declared decision space by evaluated specifications
decision_stability	Overall decision-stability summary
decode_dynamic_states	Decode latent or fitted transition states
decompose_dif_evidence	Dynamic process-DIF and fairness drift
decompose_pupil_phase_amplitude	Pupil phase-amplitude registration
derive_all_features	Derive gaze, pupil, response-time, and biometric features
derive_aoi_composition	Compositional analysis of AOI attention
derive_biometric_features	Derive gaze, pupil, response-time, and biometric features
derive_gazepoint_workflow_features	Derive the complete Gazepoint workflow feature set
derive_gaze_features	Derive gaze, pupil, response-time, and biometric features
derive_pupil_features	Derive gaze, pupil, response-time, and biometric features
derive_rt_features	Derive gaze, pupil, response-time, and biometric features
design_process_dstudy	Process reliability and Generalizability Theory
detect_blinks	Gaze and pupil preprocessing
detect_calibration_drift	Calibration drift and offline recalibration
detect_corrupt_partitions	Detect missing, truncated, or modified partitions
detect_eye_format	Mappings and adapter registry
detect_fixations_idt	Gaze and pupil preprocessing
detect_fixations_ivt	Gaze and pupil preprocessing
detect_irt_changepoints	Detect IRT/process change points using an SIC-inspired multichannel score
detect_process_changepoint	Detect a response-process change point
detect_process_changepoints	Cognitive-episode change-point detection
detect_saccades	Gaze and pupil preprocessing
device_facet_effects	Extract device facet effects
diagnose_gaze_point_process	Spatio-temporal fixation point-process models
diffusion_identification_study	Construct a simulation-based identification study
diffusion_parameter_diagnostics	Diagnose diffusion-parameter trade-offs and sampling
diffusion_posterior_predictive	Posterior predictive summaries for accuracy and RT
discover_validation_cases	Validate real eye-tracking exports and compatibility corpora
distractor_process_map	Build a distractor process map
drift_by_device	Drift audit stratified by device
drift_by_site	Drift audit stratified by study site
drift_by_stimulus_version	Drift audit stratified by stimulus version
drift_by_vendor	Drift audit stratified by vendor
dynamic_irtree_recovery	Evaluate dynamic-state recovery under misclassification
dynamic_irtree_spec	Specify a hardened dynamic gaze-state IRTree
dynamic_posterior_predictive_check	Posterior predictive checks for dynamic state models
dynamic_transition_design	Build an explicit dynamic-transition design matrix

-- E --

effective_sampling_frequency	Estimate effective sampling frequency from timestamps
empty_eye_table	Canonical schemas and coordinate spaces
encode_response_combinations	Encode multiple-response item response combinations
engine_adapter_status	Report an adapter's availability and contract
equate_irt_scales	Equate IRT scales using anchor item parameters
estimate_calibration_error	Estimate empirical calibration/validation error
estimate_clock_transform	Coordinate and timebase management
estimate_device_specific_error	Cross-device and cross-vendor metric linking
estimate_ez_diffusion	Experimental psychometric process models
estimate_process_uncertainty	Process measurement-uncertainty budgets
estimate_sampling_rate	Coordinate and timebase management
estimate_visual_exposure_probability	Estimate visual exposure probability
evaluate_validation_acceptance	Evaluate a validation acceptance rule
event_marker_qc	Event-marker plausibility audit
event_roundtrip_audit	Audit event survival across an interchange round trip
event_semantics_audit	Audit event semantic preservation
expand_eyeprocess_stress_evidence_plan	Expand a stress evidence plan into one-factor-at-a-time scenarios
expand_eyeprocess_validation_plan	Expand a validation-evidence plan to a scenario table
expand_process_validation_design	Expand a process-validation design into explicit conditions
expected_process_information	Expected process-aware item utility under a theta distribution
explain_latent_interaction	Explain local person-item latent-space interactions
export_canonical	Export, reporting, and package bridges
export_eye_bids	Export Eye-Tracking-BIDS physiological recordings
export_eye_pipeline	Export a pipeline manifest and optional run status
export_prov_json	Export lightweight PROV-oriented JSON
export_ro_crate_metadata	Export minimal RO-Crate 1.3 metadata
export_validation_bundle	Export a validation evidence bundle
external_eye_adapters	Convert common external eye-tracking objects
external_model_engines	List external engine adapters
external_validate_irt	External validation on a completely held-out dataset
extract_diffusion_parameters	Extract diffusion parameter summaries
extract_functional_pupil_parameters	Extract functional pupil parameters for validation
extract_parameter_truth	Extract canonical parameter truth from simulated data
extract_process_windows	Extract standardized sliding-window process features
eyeprocess	eyeprocess: Harmonize Eye-Tracking and Psychometric Process Data
eyeprocess_api_version	Return the public eyeprocess API version
eyeprocess_benchmark_study	Locate the bundled public benchmark study
eyeprocess_cdm_attribute_profiles	Enumerate latent attribute profiles
eyeprocess_cdm_classification_uncertainty	Summarise CDM classification uncertainty from profile probabilities
eyeprocess_cdm_dina_ideal_response	Compute deterministic DINA ideal responses from a Q-matrix
eyeprocess_cdm_dina_probability	DINA response probabilities from slip and guess parameters
eyeprocess_cdm_qmatrix_audit	Audit a cognitive-diagnosis Q-matrix
eyeprocess_deprecation	Declare a deprecation in a structured form
eyeprocess_irt_2pl_probability	2PL item-response probability
eyeprocess_irt_3pl_probability	3PL item-response probability
eyeprocess_irt_4pl_probability	4PL item-response probability
eyeprocess_irt_adaptive_trace	Create an auditable adaptive-testing trace
eyeprocess_irt_anchor_audit	Audit candidate anchor items using supplied DIF evidence
eyeprocess_irt_anchor_purification	Iteratively remove anchors exceeding a supplied effect threshold
eyeprocess_irt_apply_link	Apply linear IRT scale-linking coefficients
eyeprocess_irt_bank_coverage	Audit item-bank information coverage across a theta region
eyeprocess_irt_category_function_audit	Audit category probability functions
eyeprocess_irt_classification_precision	Summarise decision precision at one or more theta cut scores
eyeprocess_irt_conditional_sem	Conditional standard error from information
eyeprocess_irt_content_balance_audit	Audit content balance in an administered adaptive form
eyeprocess_irt_device_drift	Summarise parameter drift across acquisition devices
eyeprocess_irt_dif_effect_curve	Differential item functioning effect curve from two parameter sets
eyeprocess_irt_dtf_curve	Differential test functioning effect curve
eyeprocess_irt_eap_score	EAP score for dichotomous IRT item parameters
eyeprocess_irt_engine_evidence_table	Build an external-engine capability and availability table
eyeprocess_irt_engine_registry	Registry of specialized external IRT engines
eyeprocess_irt_engine_status	Query an external IRT engine
eyeprocess_irt_expected_score	Expected item score
eyeprocess_irt_exposure_summary	Summarise item exposure rates
eyeprocess_irt_extreme_score_audit	Audit extreme response scores without assigning behavioral labels
eyeprocess_irt_fit_dashboard	Build an integrated IRT diagnostic dashboard object
eyeprocess_irt_functioning_effect_summary	Summarise DIF/DTF curve magnitude
eyeprocess_irt_gpcm_probability	Generalized partial-credit category probabilities
eyeprocess_irt_grm_probability	Graded-response category probabilities
eyeprocess_irt_haebara_link	Haebara item-characteristic-curve linking
eyeprocess_irt_identification_audit	Audit IRT scale/location identification
eyeprocess_irt_infit_outfit	Compute residual-based Infit and Outfit summaries
eyeprocess_irt_information_area	Area under an information curve
eyeprocess_irt_information_gain	Information gain between two conditional standard errors
eyeprocess_irt_information_targeting	Audit how well item information targets a theta distribution
eyeprocess_irt_invariance_evidence	Combine invariance evidence without converting it to a binary validity claim
eyeprocess_irt_item_bank	Item bank object for adaptive design
eyeprocess_irt_item_fit_residuals	Compute item residual fit summaries from observed and predicted probabilities
eyeprocess_irt_item_information	Compute item information for transparent IRT families
eyeprocess_irt_item_selection	Select the most informative eligible item at a theta estimate
eyeprocess_irt_latent_regression_design	Build a latent-regression design matrix with explicit centering metadata
eyeprocess_irt_link_stability	Compare linking estimates across anchor subsets
eyeprocess_irt_local_dependence_pairs	Extract high residual-dependence item pairs
eyeprocess_irt_map_score	MAP score for dichotomous IRT item parameters
eyeprocess_irt_marginal_reliability	Marginal reliability from latent-score variance and conditional error variance
eyeprocess_irt_mean_mean_link	Mean-mean IRT linking coefficients
eyeprocess_irt_mean_sigma_link	Mean-sigma IRT linking coefficients
eyeprocess_irt_measurement_precision_profile	Summarise measurement precision across a theta region
eyeprocess_irt_missing_by_design_audit	Audit missing-by-design structure in an IRT response matrix
eyeprocess_irt_misspecification_metrics	Compare recovery under reference and misspecified scenarios
eyeprocess_irt_misspecification_suite	Create a model-misspecification suite
eyeprocess_irt_mle_score	Bounded ML score for dichotomous IRT item parameters
eyeprocess_irt_model_card	Create a governed IRT model card
eyeprocess_irt_model_card_audit	Audit completeness of an IRT model card
eyeprocess_irt_model_spec	Declare an eyeprocess IRT model specification
eyeprocess_irt_monotonicity_audit	Audit monotonicity of an item response curve
eyeprocess_irt_nominal_probability	Nominal-response category probabilities
eyeprocess_irt_parameter_plausibility_audit	Audit basic plausibility of dichotomous item parameters
eyeprocess_irt_person_fit_lz	Standardized log-likelihood person-fit diagnostic
eyeprocess_irt_person_fit_residuals	Compute person residual fit summaries
eyeprocess_irt_plausible_values	Draw plausible values from a discrete posterior grid
eyeprocess_irt_ppc_discrepancy	Compare observed and replicated IRT discrepancy statistics
eyeprocess_irt_precision_evidence_table	Build a paper-ready IRT information/precision table
eyeprocess_irt_prior_sensitivity_grid	Construct a prior-sensitivity grid for Bayesian IRT analyses
eyeprocess_irt_prior_sensitivity_summary	Summarise sensitivity of an estimand across declared prior specifications
eyeprocess_irt_prior_spec	Declare prior families for Bayesian IRT engine adapters
eyeprocess_irt_process_alignment	Align item parameters with process-channel summaries
eyeprocess_irt_process_aware_selection_penalty	Process-aware selection penalty without mental-state inference
eyeprocess_irt_process_dif_concordance	Compare psychometric DIF effect sizes with process-channel contrasts
eyeprocess_irt_q3	Compute Yen-style Q3 residual correlations
eyeprocess_irt_recovery_design	Create an IRT recovery design
eyeprocess_irt_recovery_failures	Summarise recovery failure rates
eyeprocess_irt_recovery_summary	Summarise IRT parameter recovery
eyeprocess_irt_sbc_ranks	Construct SBC ranks from scalar truths and posterior draws
eyeprocess_irt_sbc_summary	Summarise IRT SBC ranks with the package SBC diagnostics
eyeprocess_irt_score_table	Score a response matrix with EAP, MAP, or ML
eyeprocess_irt_score_uncertainty	Summarise score uncertainty
eyeprocess_irt_session_drift	Summarise item-parameter drift over sessions
eyeprocess_irt_sparse_design_audit	Audit sparse person-item response coverage
eyeprocess_irt_stocking_lord_link	Stocking-Lord characteristic-curve linking
eyeprocess_irt_stopping_rule	Evaluate a simple adaptive stopping rule
eyeprocess_irt_targeting_gap	Compare an examinee distribution with item-bank targeting
eyeprocess_irt_testlet_audit	Audit testlet sizes and singleton structures
eyeprocess_irt_testlet_spec	Declare a testlet structure for bifactor/two-tier IRT engines
eyeprocess_irt_test_characteristic_curve	Test characteristic curve for dichotomous item parameters
eyeprocess_irt_test_information	Compute a test information curve from item parameters
eyeprocess_irt_threshold_order_audit	Audit ordered category thresholds
eyeprocess_joint_process_irt_spec	Declare a response/process joint IRT specification
eyeprocess_mirt_directional_information	Directional multidimensional 2PL information
eyeprocess_mirt_information_matrix	Multidimensional 2PL item information matrix
eyeprocess_mirt_loading_audit	Audit multidimensional IRT loading coverage
eyeprocess_mirt_loading_spec	Declare a multidimensional IRT loading structure
eyeprocess_multichannel_measurement_map	Construct a multichannel measurement map
eyeprocess_negative_control_evidence_plan	Declare negative-control evidence targets
eyeprocess_negative_control_evidence_table	Build a paper-ready negative-control table
eyeprocess_process_irt_data_bundle	Prepare a sparse response/process bundle for external joint engines
eyeprocess_process_item_profile	Aggregate process channels by item
eyeprocess_process_missingness_pattern	Summarise missingness patterns across response and process channels
eyeprocess_process_person_profile	Aggregate process channels by person
eyeprocess_recovery_evidence_table	Build a paper-ready parameter-recovery table
eyeprocess_reliability_evidence_plan	Declare reliability evidence targets
eyeprocess_reliability_evidence_table	Build a paper-ready reliability table
eyeprocess_response_time_profile	Summarise response-time structure for joint IRT work
eyeprocess_sbc_evidence_table	Build a paper-ready SBC table
eyeprocess_speed_accuracy_profile	Describe speed-accuracy association without causal interpretation
eyeprocess_stress_evidence_plan	Declare the Milestone #2 measurement-quality stress evidence plan
eyeprocess_stress_evidence_table	Build a paper-ready stress-test table
eyeprocess_validation_atlas_gaps	Summarise gaps in a validation evidence atlas
eyeprocess_validation_claim_matrix	Build a machine-readable validation claim/evidence matrix
eyeprocess_validation_evidence_atlas	Assemble a validation evidence atlas
eyeprocess_validation_evidence_grade	Grade the completeness of validation evidence
eyeprocess_validation_evidence_index	Create an index over frozen validation evidence artifacts
eyeprocess_validation_evidence_manifest	Create an evidence manifest from files and in-memory objects
eyeprocess_validation_plan	Declare an eyeprocess validation-evidence plan
eyeprocess_validation_readiness	Evaluate readiness of a Milestone #2 validation evidence bundle
eyeprocess_validation_release_gate	Apply a conservative software-release evidence gate
eyeprocess_validation_seed	Derive a deterministic bounded validation seed
eye_analysis_pipeline	Construct a governed analysis pipeline
eye_analysis_spec	Define explicit analysis decisions for an eyeprocess workflow
eye_api_inventory	Inventory the public eyeprocess API
eye_api_lifecycle	Normalize or create an API lifecycle registry
eye_api_recommendation	Lifecycle recommendation for API review
eye_api_status	Lookup lifecycle status for one or more APIs
eye_api_superseded	Return superseded/deprecated compatibility interfaces
eye_benchmark_design	Define a computational benchmark design
eye_decision_manifest	Create a machine-readable research decision manifest
eye_format_profiles	Validate real eye-tracking exports and compatibility corpora
eye_mapping	Mappings and adapter registry
eye_pipeline_dot	Render pipeline dependencies as Graphviz DOT
eye_pipeline_graph	Return pipeline vertices and dependency edges
eye_pipeline_manifest	Machine-readable pipeline manifest
eye_pipeline_mermaid	Render pipeline dependencies as Mermaid flowchart text
eye_pipeline_step	Define a governed pipeline step
eye_plot_spec	Measurement-intelligence plotting and result infrastructure
eye_prov_graph	Construct a lightweight provenance graph
eye_reproducibility_fingerprint	Construct a reproducibility fingerprint
eye_schema	Canonical schemas and coordinate spaces
eye_session_manifest	Create a session-level provenance manifest
eye_storage_spec	Specify disk-backed eyeprocess storage
eye_stream_fidelity_audit	Audit preservation of monocular/binocular stream semantics
eye_targets_manifest	Create a targets-compatible dependency manifest

-- F --

facet_effects	Extract facet effects from a many-facet process model
features_wide	Derive gaze, pupil, response-time, and biometric features
feature_dictionary	Derive gaze, pupil, response-time, and biometric features
feature_spec	Derive gaze, pupil, response-time, and biometric features
field_fidelity_report	Field-level semantic fidelity report
file_hash_manifest	Build a file hash manifest
filter_eye_signal	Filter a one-dimensional eye signal robustly
filter_gaze	Gaze and pupil preprocessing
filter_pupil	Gaze and pupil preprocessing
filter_pupil_signal	Filter pupil signal robustly
find_process_measures	Find process measures by channel, level, status, or text
fingerprint_eye_dataset	Validate real eye-tracking exports and compatibility corpora
fingerprint_validation_case	Fingerprint every file in a validation case
fit_accuracy_rt	Psychometric and process-data models
fit_aoi_compositional_model	Compositional analysis of AOI attention
fit_aoi_growth_curve	Fit a single AOI growth curve
fit_brms_adapter	fit brms adapter
fit_censored_normal_process_irt	Conditional censored-normal calibration for bounded process measurements
fit_changepoint_multimodal_irt	Fit a multimodal change-point IRT workflow
fit_changepoint_rt_irt	Fit a change-point RT IRT workflow
fit_cognitive_diagnosis_process	Cognitive-diagnosis model with process indicators
fit_continuous_time_irt	Continuous-time IRT external-engine gate
fit_crossclassified_process_irt	Cross-classified process IRT reference model
fit_crossclassified_process_irt_mhrm	Create a gated scalable cross-classified MH-RM process IRT interface
fit_device_linking	Cross-device and cross-vendor metric linking
fit_dif	Psychometric and process-data models
fit_diffirt_adapter	Fit a diffusion IRT adapter
fit_diffirt_engine_adapter	fit diffirt engine adapter
fit_dynamic_aoi_model	Psychometric and process-data models
fit_dynamic_gpirt	Dynamic GPIRT external-engine gate
fit_dynamic_irtree	Fit a dynamic gaze-state response-tree model
fit_dynamic_irtree_stan	Fit an optional CmdStan dynamic-transition model
fit_event_time_irt	Fit an event-time IRT reference workflow
fit_explanatory_irt	Psychometric and process-data models
fit_external_engine	Fit an external model engine through a stable adapter
fit_eyeprocess_erm	Fit an eRm Rasch-family model without fallback substitution
fit_eyeprocess_gdina	Fit a G-DINA cognitive-diagnosis model without fallback substitution
fit_eyeprocess_lnirt	Fit a joint response/response-time LNIRT model without fallback substitution
fit_eyeprocess_mirt	Fit a model with mirt without substituting another estimator
fit_eyeprocess_tam	Fit a TAM model without substituting another estimator
fit_eyetrackingr_adapter	fit eyetrackingr adapter
fit_fixation_point_process	Spatio-temporal fixation point-process models
fit_flow_mirt	Flow-MIRT external-engine gate
fit_functional_pupil_stan	Fit the bundled joint functional pupil-IRT Stan model
fit_gaze_anchored_3pl_audit	Fit a standard 3PL and audit lower-asymptote alignment with process evidence
fit_gaze_diffusion_irt	Fit a gaze-informed diffusion model
fit_gaze_diffusion_stan	Fit the CmdStan Wiener diffusion model
fit_gaze_informed_irt	Experimental psychometric process models
fit_gaze_informed_missingness_irt	Fit a gaze-informed missingness IRT diagnostic
fit_gaze_weighted_choice	Experimental psychometric process models
fit_gdina_adapter	fit gdina adapter
fit_gpirt	GPIRT model-criticism interface
fit_irt	Psychometric and process-data models
fit_irt_model	Fit a registered multimodal IRT model
fit_item_parameter_seed_model	Fit an experimental pre-pilot item-parameter seeding model
fit_joint_functional_pupil_irt	Fit a functional pupil-informed IRT workflow
fit_joint_gaze_rt_irt	Joint response, response-time, and gaze-process IRT
fit_joint_graded_rt_process_irt	Joint graded-response, RT, and process reference model
fit_joint_process_model	Psychometric and process-data models
fit_joint_signal_missingness	Informative missingness and MNAR sensitivity
fit_kde_latent_distribution_irt	Create a gated KDE latent-distribution IRT interface
fit_latent_class_process_irt	Latent process-class IRT reference model
fit_latent_space_irt	Fit a latent-space IRT model using LSMjml
fit_lnirt_adapter	fit lnirt adapter
fit_manyfacet_process_irt	Many-facet process IRT reference model
fit_marked_gaze_process	Spatio-temporal fixation point-process models
fit_mirt_adapter	fit mirt adapter
fit_mixture_irt_process_classes	Fit a true mirt mixture-IRT response model
fit_multiblock_process_map	Fit a multiblock psychometric/gaze/pupil/quality structure map
fit_multimodal_irt	Experimental psychometric process models
fit_multimodal_m2	Fit the M2 response + RT + gaze reference model
fit_multimodal_m3	Fit the M3 response + RT + gaze + pupil reference model
fit_multimodal_m4	Fit the M4 latent response-process state model
fit_multimodal_trait_irt	Multimodal trait-model convenience wrapper
fit_multinomial_transition	Fit a penalized multinomial transition model
fit_multiple_response_process_irt	Fit a multiple-response process-IRT reference model
fit_nominal_gaze_irt	Nominal/distractor IRT with option-level gaze
fit_nonignorable_missing_irt	Create a gated Bayesian nonignorable-missing IRT interface
fit_offline_recalibration	Calibration drift and offline recalibration
fit_omission_survival_irt	Response/RT/omission survival IRT reference model
fit_openmx_adapter	fit openmx adapter
fit_openmx_process_model	Fit a user-defined OpenMx process model
fit_persistence_gaze_diffusion_irt	Create a gated persistence-augmented gaze-diffusion IRT interface
fit_phase_amplitude_irt	Pupil phase-amplitude registration
fit_process_dif	Dynamic process-DIF and fairness drift
fit_process_gstudy	Process reliability and Generalizability Theory
fit_process_hmm_irt	Process-state HMM with an IRT response layer
fit_process_irt	Experimental psychometric process models
fit_process_missingness_model	Measurement-intelligence compatibility adapters
fit_process_norms	Conditional process reference centiles
fit_process_observation_model	Informative missingness and MNAR sensitivity
fit_process_profile_mixture	Fit exploratory process profiles
fit_process_rasch_tree	Fit a process-informed Rasch tree
fit_pupillometryr_adapter	fit pupillometryr adapter
fit_pupil_confound_model	Fit a luminance/fatigue/process confound model for pupil response
fit_pupil_event_deconvolution	Fit transparent event-related pupil deconvolution models
fit_pupil_informed_irt	Experimental psychometric process models
fit_response_process_embedding_irt	Fit an IRT response model augmented by sequence embeddings
fit_revisit_process_cdm	Fit a revisiting-aware cognitive-diagnosis process workflow
fit_seqhmm_adapter	fit seqhmm adapter
fit_shared_process_factor	Psychometric and process-data models
fit_speed_accuracy_engagement_irt	Speed-accuracy-engagement IRT convenience wrapper
fit_strategy_mixture	Experimental psychometric process models
fit_strategy_mixture_em	Fit the deterministic multi-start EM baseline
fit_strategy_mixture_stan	Fit the probabilistic strategy-mixture engine
fit_tam_adapter	fit tam adapter
fit_theory_strategy_irt	Fit a theory-constrained strategy mixture
fit_traminer_adapter	fit traminer adapter
fit_validation_replicate	Fit one model-validation replicate
fit_variational_irt	Variational IRT external-engine gate
fit_visual_context_irt	Fit an explicit visual-context/testlet IRT model
fixation_boundary_uncertainty	Distance to nearest rectangular AOI boundary
flag_gaze_outliers	Gaze and pupil preprocessing
format_compatibility_matrix	Validate real eye-tracking exports and compatibility corpora
format_validation_spec	Validate real eye-tracking exports and compatibility corpora
freeze_eyeprocess_irt_reference	Freeze IRT validation reference summaries
freeze_eyeprocess_validation_atlas	Freeze a validation atlas with a reproducibility fingerprint
freeze_eyeprocess_validation_evidence	Freeze a complete Milestone #2 evidence bundle
freeze_software_paper_evidence	Freeze software-paper evidence to an RDS with a hash
freeze_validation_reference	Freeze a compact validation reference for regression testing
functional_pupil_basis	Construct a functional basis for pupil trajectories
functional_pupil_diagnostics	Diagnose functional pupil model and preprocessing quality
functional_pupil_features	Experimental psychometric process models
functional_pupil_irt_spec	Specify a functional pupil-IRT model

-- G --

gazepoint_analysis_tables	Build person-by-item-by-trial analysis tables
gazepoint_irt_tables	Create IRT-ready response and process tables
gazepoint_workflow_spec	Specify an integrated Gazepoint downstream workflow
gaze_anchored_3pl_alignment	Return the process-alignment table from a gaze-anchored 3PL audit
gaze_data_quality_profile	Empirical gaze data-quality profile
gaze_diffusion_spec	Define a gaze-informed diffusion model
gaze_entropy	Derive gaze, pupil, response-time, and biometric features
gaze_precision_rms_s2s	Estimate RMS successive-sample gaze imprecision
gaze_recurrence	Recurrence and cross-recurrence analysis
gaze_uncertainty_ellipse	Uncertainty ellipse implied by an empirical calibration-error model
gaze_velocity	Gaze and pupil preprocessing
generalizability_process_study	Generalizability-style variance decomposition for a process measure
get_eye_table	Create and manage eyeprocess datasets
get_irt_model	Retrieve a registered multimodal IRT model
gp_align_media_ids	Import Gazepoint and Gazepoint Biometrics exports
gp_audit_file_pairs	Import Gazepoint and Gazepoint Biometrics exports
gp_check_biometrics_sync	Import Gazepoint and Gazepoint Biometrics exports
gp_check_fixation_ids	Import Gazepoint and Gazepoint Biometrics exports
gp_check_media_timing	Import Gazepoint and Gazepoint Biometrics exports
gp_check_pupil_channels	Import Gazepoint and Gazepoint Biometrics exports
gp_check_sampling_rate	Import Gazepoint and Gazepoint Biometrics exports
gp_check_validity_fields	Import Gazepoint and Gazepoint Biometrics exports
gp_identify_export_type	Import Gazepoint and Gazepoint Biometrics exports
gp_list_export_fields	Import Gazepoint and Gazepoint Biometrics exports
gp_match_biometrics	Import Gazepoint and Gazepoint Biometrics exports
gp_match_recordings	Import Gazepoint and Gazepoint Biometrics exports
gp_pair_exports	Import Gazepoint and Gazepoint Biometrics exports
gp_parse_markers	Import Gazepoint and Gazepoint Biometrics exports
gp_parse_media_events	Import Gazepoint and Gazepoint Biometrics exports
gp_parse_user_events	Import Gazepoint and Gazepoint Biometrics exports
gp_profile_export	Import Gazepoint and Gazepoint Biometrics exports
gp_reconstruct_stimuli	Import Gazepoint and Gazepoint Biometrics exports
gp_reconstruct_trials	Import Gazepoint and Gazepoint Biometrics exports
gp_validate_export	Import Gazepoint and Gazepoint Biometrics exports
grade_model_evidence	Grade model evidence against an explicit validation contract
grouped_cv	Evaluate a model with grouped cross-validation
grouped_folds	Create grouped cross-validation folds

-- I --

import_benchmark_study	Build an eye dataset from the public benchmark
import_canonical	Export, reporting, and package bridges
import_eye_bids	Import Eye-Tracking-BIDS physiological recordings
incremental_process_validity	Extract incremental process validity
infer_eye_mapping	Mappings and adapter registry
init_validation_corpus	Validate real eye-tracking exports and compatibility corpora
init_vendor_corpus	Create or validate a multi-vendor corpus directory
inject_aoi_label_noise	Inject AOI label noise
inject_calibration_offset	Inject additive gaze calibration offset in coordinate units
inject_device_shift	Inject an additive device/site shift in a numeric feature
inject_eye_missingness	Inject generic missingness into selected columns
inject_pupil_dropout	Inject pupil dropout
inject_sampling_jitter	Inject timestamp jitter
inject_trial_imbalance	Inject trial/row imbalance by dropping observations
inspect_eye_source	Validate real eye-tracking exports and compatibility corpora
interpolate_pupil	Gaze and pupil preprocessing
interpretive_warnings	Quality control, sensitivity, and governance
irt_compositional_channel	Compositional AOI channel
irt_continuous_channel	Continuous/bounded process channel for multimodal IRT
irt_count_channel	Count-valued process channel for multimodal IRT
irt_functional_channel	Functional trajectory channel
irt_model_spec	Define a multimodal IRT model specification
irt_nominal_channel	Nominal response/process channel
irt_response_channel	Binary/ordinal response channel for multimodal IRT
irt_rt_channel	Response-time channel for multimodal IRT
irt_sequence_channel	Sequence/process-state channel
irt_survival_channel	Survival/event-time channel for multimodal IRT
irt_validation_spec	Specify a validation programme for a process-IRT model
is_eyelink_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
is_eye_dataset	Create and manage eyeprocess datasets
is_gazepoint_export	Import Gazepoint and Gazepoint Biometrics exports
is_pupil_labs_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
is_smi_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
is_tobii_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
item_objective_spec	Multi-objective item-bank optimization
item_parameters	Psychometric and process-data models
item_pareto_front	Multi-objective item-bank optimization

-- L --

label_process_episodes	Cognitive-episode change-point detection
latent_distribution_stress_test	Stress-test IRT estimators across latent distributions
latent_trait_trajectory	Estimate a descriptive continuous-time latent trajectory
leave_device_out_validation	Leave device out validation
leave_item_out_validation	Leave item out validation
leave_session_out_validation	Leave session out validation
leave_site_out_validation	Leave site out validation
list_irt_models	List registered multimodal IRT models
lock_decision_manifest	Lock a decision manifest by content hash

-- M --

map_latent_classes_to_process_profiles	Map supplied latent-class memberships to process summaries
measurement_error_budget	Build a non-collapsed measurement-error budget
migrate_eye_storage_schema	Migrate a storage schema through an atomic rewrite
model_data	Psychometric and process-data models
model_fit_statistics	Psychometric and process-data models
model_missing_process	Experimental psychometric process models
model_promotion_spec	Specify evidence gates for model promotion
model_validation_spec	Specify a model-validation programme
model_validation_summary	Summarize model validation
monitor_dif_drift	Dynamic process-DIF and fairness drift
multiblock_contributions	Extract multiblock block contributions/coordinates
multiblock_person_coordinates	Extract multiblock person coordinates
multiblock_variable_coordinates	Extract multiblock variable coordinates
multimodal_backend_status	Report multimodal backend availability
multimodal_irt_spec	Consolidated multimodal IRT specification
multimodal_m2_ablation	Fit M0, M1, and M2 as a response-target ablation sequence
multimodal_m2_negative_controls	Generate M2 alignment negative controls
multimodal_m2_ppc	Posterior predictive checks for the M2 three-way model
multimodal_m2_process_information	Quantify response-target process information in the M0-M2 sequence
multimodal_m2_recovery	Run repeated M2 estimator recovery
multimodal_m2_spec	M2 response + RT + gaze reference specification
multimodal_m3_ablation	Fit the complete M3 response-anchored channel-ablation lattice
multimodal_m3_functional_bridge	Bridge existing functional pupil outputs into the scalar M3 reference layer
multimodal_m3_negative_controls	Generate M3 multimodal falsification controls
multimodal_m3_ppc	Posterior predictive checks for the M3 four-channel model
multimodal_m3_process_information	Quantify M3 process information, pupil increment, redundancy and sensor value
multimodal_m3_recovery	Run M3 parameter-recovery and stress evidence
multimodal_m3_spec	M3 response + RT + gaze + pupil specification
multimodal_m4_ablation	Plan or fit the focused M3-to-M4 ablation set
multimodal_m4_negative_controls	Construct M4 temporal, nuisance, device, and overfitting negative controls
multimodal_m4_ppc	Posterior predictive checks for M4 measurement and sequential behavior
multimodal_m4_process_information	Quantify incremental response-target information supplied by M4 state structure
multimodal_m4_recovery	Evaluate deterministic M4 parameter and state recovery
multimodal_m4_sensitivity	Plan or run M4 state-count and modelling sensitivity analyses
multimodal_m4_spec	Specify M4 trait-conditioned latent response-process states
multimodal_m4_state_diagnostics	Summarize M4 latent-state uncertainty and dynamics
multimodal_ppc	Posterior predictive checks for multimodal development fits

-- N --

negative_control_concordance	Concordance of multiple negative-control families
negative_control_process_test	Negative-control test for an allegedly informative process channel
new_aoi	Trials, responses, stimuli, and areas of interest
new_coordinate_space	Canonical schemas and coordinate spaces
new_eye_dataset	Create and manage eyeprocess datasets
normalize_timebase	Coordinate and timebase management

-- O --

object_hash	Hash an R object reproducibly within an R serialization version
object_schema	Describe a stable object schema
open_eye_storage	Open an eyeprocess storage handle
open_partitioned_eye_storage	Open partitioned eye storage
optimize_item_bank	Multi-objective item-bank optimization
option_process_information	Quantify option-process information from a nominal gaze model
outcome_blind_feature_audit	Audit whether candidate predictors can be constructed without an outcome column
outcome_blind_snapshot	Create an outcome-blind data snapshot

-- P --

package_reproducibility_manifest	Create a reproducibility manifest for files and software
paper_reproducibility_manifest	Create a compact paper reproducibility manifest
parameter_recovery	Simulate and validate eyeprocess workflows
partition_eye_storage	Create a partition specification
person_scores	Psychometric and process-data models
pipeline_failures	Return failed pipeline steps
pipeline_result	Extract a pipeline result by step name
pipeline_step_status	Pipeline step status table
placebo_window_audit	Audit a placebo/pre-event window
plot.eye_adapter_regression_audit	Plot eye adapter regression audit
plot.eye_aoi_composition	Compositional analysis of AOI attention
plot.eye_aoi_composition_comparison	Compositional analysis of AOI attention
plot.eye_aoi_composition_model	Compositional analysis of AOI attention
plot.eye_aoi_growth_curve	Plot aoi growth curve diagnostics
plot.eye_aoi_separation_audit	Probabilistic AOI assignment and uncertainty propagation
plot.eye_aoi_trajectory	Plot aoi trajectory diagnostics
plot.eye_aoi_uncertainty	Probabilistic AOI assignment and uncertainty propagation
plot.eye_bank_decision_stability	Multi-objective item-bank optimization
plot.eye_bayesian_process_dashboard	Plot bayesian process dashboard diagnostics
plot.eye_bids_roundtrip	Plot eye bids roundtrip
plot.eye_biometric_imputation_sensitivity	Plot biometric imputation sensitivity diagnostics
plot.eye_biometric_preflight	Plot biometric preflight diagnostics
plot.eye_calibration_drift	Calibration drift and offline recalibration
plot.eye_candidate_item_bank_audit	Plot candidate item bank audit diagnostics
plot.eye_compatibility_evidence_matrix	Plot detailed compatibility evidence
plot.eye_corpus_validation	Validate real eye-tracking exports and compatibility corpora
plot.eye_crossmodal_recurrence_model	Measurement-intelligence compatibility adapters
plot.eye_cross_recurrence	Recurrence and cross-recurrence analysis
plot.eye_dataset	Visualize eye-tracking and multimodal process data
plot.eye_decision_process_proxy	Plot decision process proxy diagnostics
plot.eye_decision_trace	Evidence and decision provenance graphs
plot.eye_device_equivalence	Cross-device and cross-vendor metric linking
plot.eye_device_linking	Cross-device and cross-vendor metric linking
plot.eye_dif_drift	Dynamic process-DIF and fairness drift
plot.eye_dynamic_irtree	plot eye dynamic irtree
plot.eye_dynamic_ppc	plot eye dynamic ppc
plot.eye_episode_comparison	Cognitive-episode change-point detection
plot.eye_event_roundtrip_audit	Plot eye event roundtrip audit
plot.eye_event_time_irt	Plot eye event time irt
plot.eye_evidence_graph	Evidence and decision provenance graphs
plot.eye_fairness_transportability	Dynamic process-DIF and fairness drift
plot.eye_fixation_point_process	Spatio-temporal fixation point-process models
plot.eye_format_validation	Validate real eye-tracking exports and compatibility corpora
plot.eye_functional_pupil_diagnostics	plot eye functional pupil diagnostics
plot.eye_functional_pupil_irt	plot eye functional pupil irt
plot.eye_functional_pupil_sensitivity	plot eye functional pupil sensitivity
plot.eye_gated_process_model	Plot gated process model diagnostics
plot.eye_gaze_anchored_3pl_audit	Plot gaze anchored 3pl audit diagnostics
plot.eye_gaze_informed_missingness_irt	Plot eye gaze informed missingness irt
plot.eye_gaze_point_process_diagnostics	Spatio-temporal fixation point-process models
plot.eye_gpirt	Plot flexible IRF shape diagnostics
plot.eye_incremental_information_audit	Plot incremental process-channel information by fold
plot.eye_irt_changepoints	Plot detected process changepoints
plot.eye_irt_equating	Plot an IRT linking/equating transformation
plot.eye_irt_ppc	Plot posterior predictive discrepancy tail probabilities
plot.eye_irt_recovery_summary	Plot parameter-recovery bias or RMSE
plot.eye_irt_sbc	Plot SBC rank histograms by parameter
plot.eye_item_bank_optimization	Multi-objective item-bank optimization
plot.eye_item_parameter_seed	Plot item parameter seed diagnostics
plot.eye_item_pareto	Multi-objective item-bank optimization
plot.eye_item_reduction_sensitivity	Plot item reduction sensitivity diagnostics
plot.eye_joint_gaze_rt_irt	Plot a joint gaze-response-time IRT fit
plot.eye_joint_graded_rt_process_irt	Plot a graded response + RT/process fit
plot.eye_latent_distribution_comparison	Plot eye latent distribution comparison
plot.eye_latent_process_alignment	Plot latent process alignment diagnostics
plot.eye_latent_space_irt	Plot a latent-space IRT adapter fit
plot.eye_manyfacet_process_irt	Plot many-facet process IRT effects
plot.eye_mixture_irt_process	Plot mixture irt process diagnostics
plot.eye_mnar_sensitivity	Informative missingness and MNAR sensitivity
plot.eye_mnar_tipping_point	Informative missingness and MNAR sensitivity
plot.eye_model_promotion_audit	plot eye model promotion audit
plot.eye_multiblock_process_map	Plot multiblock process map diagnostics
plot.eye_nominal_gaze_irt	Plot nominal-response gaze results
plot.eye_nonparametric_rasch_audit	Plot nonparametric rasch audit diagnostics
plot.eye_norm_transportability	Conditional process reference centiles
plot.eye_omission_survival_irt	Plot omission/not-reached survival IRT diagnostics
plot.eye_parameter_recovery	Simulate and validate eyeprocess workflows
plot.eye_phase_amplitude_irt	Pupil phase-amplitude registration
plot.eye_preaction_process_features	Plot preaction process features diagnostics
plot.eye_presentation_accessibility	Plot presentation accessibility diagnostics
plot.eye_presentation_fairness_comparison	Plot presentation fairness comparison diagnostics
plot.eye_probabilistic_aoi	Probabilistic AOI assignment and uncertainty propagation
plot.eye_process_anomaly_audit	Plot process anomaly audit diagnostics
plot.eye_process_cat_simulation	Plot CAT simulation information accumulation
plot.eye_process_changepoints	Cognitive-episode change-point detection
plot.eye_process_channel_ablation	Plot process-channel ablation
plot.eye_process_dependent_discrimination	Plot process-dependent discrimination
plot.eye_process_dif	Dynamic process-DIF and fairness drift
plot.eye_process_drift_audit	Plot process drift audit diagnostics
plot.eye_process_dstudy	Process reliability and Generalizability Theory
plot.eye_process_episodes	Cognitive-episode change-point detection
plot.eye_process_external_validity	Plot process external validity diagnostics
plot.eye_process_facet_effects	Plot eye process facet effects
plot.eye_process_feature_blocks	Plot process feature blocks diagnostics
plot.eye_process_gstudy	Process reliability and Generalizability Theory
plot.eye_process_g_study	Plot process-measure variance components
plot.eye_process_hmm_irt	Plot a process-HMM IRT fit
plot.eye_process_local_dependence_audit	Plot process/local-dependence diagnostics
plot.eye_process_negative_control	Plot a process-channel negative-control distribution
plot.eye_process_norms	Conditional process reference centiles
plot.eye_process_observation_model	Informative missingness and MNAR sensitivity
plot.eye_process_person_fit	Plot process person-fit discrepancies
plot.eye_process_profile_mixture	Plot process profile mixture diagnostics
plot.eye_process_rasch_tree	Plot process rasch tree diagnostics
plot.eye_process_reliability_audit	Process reliability and Generalizability Theory
plot.eye_process_uncertainty	Process measurement-uncertainty budgets
plot.eye_process_uncertainty_propagation	Process measurement-uncertainty budgets
plot.eye_process_windows	Plot process windows diagnostics
plot.eye_process_window_sensitivity	Plot process window sensitivity diagnostics
plot.eye_provenance_comparison	Evidence and decision provenance graphs
plot.eye_pupil_confound_model	Plot pupil confound model diagnostics
plot.eye_pupil_deconvolution	Plot pupil deconvolution diagnostics
plot.eye_pupil_fatigue_drift	Plot pupil fatigue drift diagnostics
plot.eye_pupil_frequency_features	Plot pupil frequency features diagnostics
plot.eye_pupil_frequency_stability	Plot pupil frequency stability diagnostics
plot.eye_pupil_phase_amplitude	Pupil phase-amplitude registration
plot.eye_pupil_registration	Pupil phase-amplitude registration
plot.eye_recalibration_audit	Calibration drift and offline recalibration
plot.eye_recurrence	Recurrence and cross-recurrence analysis
plot.eye_roundtrip_loss_audit	plot eye roundtrip loss audit
plot.eye_sbc_audit	Plot SBC audit summaries
plot.eye_scanpath_bootstrap	Representative scanpaths and scanpath distributions
plot.eye_scanpath_comparison	Representative scanpaths and scanpath distributions
plot.eye_scanpath_representative	Representative scanpaths and scanpath distributions
plot.eye_semantic_roundtrip	Plot semantic round-trip fidelity
plot.eye_signal_filter_audit	Plot signal filter audit diagnostics
plot.eye_storage_benchmark	plot eye storage benchmark
plot.eye_strategy_aoi_sensitivity	plot eye strategy aoi sensitivity
plot.eye_streaming_score	Plot streaming score diagnostics
plot.eye_transition_diagnostics	plot eye transition diagnostics
plot.eye_uncertainty_budget_comparison	Process measurement-uncertainty budgets
plot.eye_validation_bundle	Plot validation bundle diagnostics
plot.eye_vendor_compatibility_matrix	plot eye vendor compatibility matrix
plot.eye_vendor_semantic_validation	Plot eye vendor semantic validation
plot.eye_visual_context_irt	Plot visual context irt diagnostics
plot.eye_windowed_recurrence	Recurrence and cross-recurrence analysis
plot_aoi_balance_biplot	Compositional analysis of AOI attention
plot_aoi_boundary_risk	Probabilistic AOI assignment and uncertainty propagation
plot_aoi_composition_trajectory	Compositional analysis of AOI attention
plot_aoi_dwell	Visualize eye-tracking and multimodal process data
plot_aoi_metric_uncertainty	Probabilistic AOI assignment and uncertainty propagation
plot_aoi_probability_map	Probabilistic AOI assignment and uncertainty propagation
plot_aoi_ternary	Compositional analysis of AOI attention
plot_aoi_transition_matrix	Plot an AOI transition matrix
plot_aoi_transition_rank	Plot top AOI transitions by probability/count
plot_aoi_variation_matrix	Compositional analysis of AOI attention
plot_bank_information_coverage	Multi-objective item-bank optimization
plot_biometrics	Visualize eye-tracking and multimodal process data
plot_calibration_error_ellipses	Calibration drift and offline recalibration
plot_calibration_vector_field	Calibration drift and offline recalibration
plot_changepoint_ribbons	Cognitive-episode change-point detection
plot_clock_alignment	Visualize eye-tracking and multimodal process data
plot_complete_case_sensitivity	Informative missingness and MNAR sensitivity
plot_compositional_group_difference	Compositional analysis of AOI attention
plot_coordinate_spaces	Visualize eye-tracking and multimodal process data
plot_covariate_effect_surface	Spatio-temporal fixation point-process models
plot_crossmodal_recurrence	Recurrence and cross-recurrence analysis
plot_cross_vendor_metric_matrix	Cross-device and cross-vendor metric linking
plot_decision_stability	Multi-objective item-bank optimization
plot_dependability_surface	Process reliability and Generalizability Theory
plot_device_agreement	Cross-device and cross-vendor metric linking
plot_device_bias_by_magnitude	Cross-device and cross-vendor metric linking
plot_device_equivalence_intervals	Cross-device and cross-vendor metric linking
plot_device_transfer_curve	Cross-device and cross-vendor metric linking
plot_diagnostics	Measurement-intelligence plotting and result infrastructure
plot_diagnostics.default	Measurement-intelligence plotting and result infrastructure
plot_diagnostics.eye_mi_result	Measurement-intelligence plotting and result infrastructure
plot_diagonal_recurrence_profile	Recurrence and cross-recurrence analysis
plot_dif_drift_heatmap	Dynamic process-DIF and fairness drift
plot_distractor_information	Plot option-level distractor information
plot_drift_over_time	Calibration drift and offline recalibration
plot_episode_duration_distribution	Cognitive-episode change-point detection
plot_episode_transition_graph	Cognitive-episode change-point detection
plot_episode_waterfall	Cognitive-episode change-point detection
plot_evidence	Measurement-intelligence plotting and result infrastructure
plot_evidence.default	Measurement-intelligence plotting and result infrastructure
plot_evidence.eye_mi_result	Measurement-intelligence plotting and result infrastructure
plot_evidence_graph	Evidence and decision provenance graphs
plot_eye_overview	Visualize eye-tracking and multimodal process data
plot_eye_trace	Visualize eye-tracking and multimodal process data
plot_fairness_transport_matrix	Dynamic process-DIF and fairness drift
plot_feature_correlation	Visualize eye-tracking and multimodal process data
plot_feature_distribution	Visualize eye-tracking and multimodal process data
plot_fixations	Visualize eye-tracking and multimodal process data
plot_fixation_intensity	Spatio-temporal fixation point-process models
plot_fuzzy_transition_matrix	Probabilistic AOI assignment and uncertainty propagation
plot_gazepoint_workflow	Generate the complete Gazepoint workflow plot suite
plot_gaze_heatmap	Visualize eye-tracking and multimodal process data
plot_group_icc_process_overlay	Dynamic process-DIF and fairness drift
plot_group_scanpath_transport	Representative scanpaths and scanpath distributions
plot_interval_coverage	Plot interval coverage
plot_irf_uncertainty	Plot uncertainty for flexible item response functions
plot_item_decision_path	Evidence and decision provenance graphs
plot_item_difficulty	Visualize eye-tracking and multimodal process data
plot_item_group_process_curves	Dynamic process-DIF and fairness drift
plot_item_normative_deviation	Conditional process reference centiles
plot_item_pareto	Multi-objective item-bank optimization
plot_item_phase_delay	Pupil phase-amplitude registration
plot_item_sampling_reliability	Process reliability and Generalizability Theory
plot_metric_dependency_graph	Evidence and decision provenance graphs
plot_missingness	Visualize eye-tracking and multimodal process data
plot_missingness_by_aoi	Informative missingness and MNAR sensitivity
plot_missingness_by_time	Informative missingness and MNAR sensitivity
plot_mnar_tipping_point	Informative missingness and MNAR sensitivity
plot_model_decision_impact	Evidence and decision provenance graphs
plot_model_diagnostics	Visualize eye-tracking and multimodal process data
plot_normative_fan	Conditional process reference centiles
plot_objective_tradeoffs	Multi-objective item-bank optimization
plot_observation_probability	Informative missingness and MNAR sensitivity
plot_observed_expected_fixations	Spatio-temporal fixation point-process models
plot_parameter_recovery	Plot parameter recovery
plot_person_item_space	Plot person/item latent-space coordinates
plot_person_normative_profile	Conditional process reference centiles
plot_phase_amplitude_scores	Pupil phase-amplitude registration
plot_probabilistic_scanpath	Probabilistic AOI assignment and uncertainty propagation
plot_process_centiles	Conditional process reference centiles
plot_process_changepoint	Plot detected process change points
plot_process_channel_ablation_delta	Plot channel-ablation delta from a full/reference model
plot_process_dif_forest	Dynamic process-DIF and fairness drift
plot_process_episodes	Cognitive-episode change-point detection
plot_process_feature_stability	Plot process-feature stability across resamples/splits
plot_process_window_sensitivity	Explicit wrapper for process-window sensitivity plotting
plot_pupil_activity_sensitivity	Plot pupil activity sensitivity to window length
plot_pupil_activity_windows	Plot pupil activity features across windows/groups
plot_pupil_band_power	Plot pupil low/high-band power summaries
plot_pupil_components	Plot tonic/phasic pupil components
plot_pupil_preprocessing_audit	Plot raw-to-processed pupil preprocessing stages
plot_pupil_registration	Pupil phase-amplitude registration
plot_pupil_spectrum	Plot a pupil-signal power spectrum
plot_pupil_timeseries	Visualize eye-tracking and multimodal process data
plot_recalibration_before_after	Calibration drift and offline recalibration
plot_recurrence_matrix	Recurrence and cross-recurrence analysis
plot_recurrence_network	Recurrence and cross-recurrence analysis
plot_registered_pupil_effects	Pupil phase-amplitude registration
plot_reliability_by_metric	Process reliability and Generalizability Theory
plot_representative_scanpath	Representative scanpaths and scanpath distributions
plot_sampling_rate	Visualize eye-tracking and multimodal process data
plot_sbc_rank	Plot SBC rank histograms
plot_scanpath	Visualize eye-tracking and multimodal process data
plot_scanpath_atlas	Representative scanpaths and scanpath distributions
plot_scanpath_dispersion	Representative scanpaths and scanpath distributions
plot_scanpath_similarity_matrix	Representative scanpaths and scanpath distributions
plot_screen_coverage	Calibration drift and offline recalibration
plot_selected_bank_profile	Multi-objective item-bank optimization
plot_sensitivity	Measurement-intelligence plotting and result infrastructure
plot_sensitivity.default	Measurement-intelligence plotting and result infrastructure
plot_sensitivity.eye_mi_result	Measurement-intelligence plotting and result infrastructure
plot_session_stability	Process reliability and Generalizability Theory
plot_signal_quality	Visualize eye-tracking and multimodal process data
plot_spatial_residuals	Spatio-temporal fixation point-process models
plot_temporal_excitation_kernel	Spatio-temporal fixation point-process models
plot_transition_matrix	Visualize eye-tracking and multimodal process data
plot_trial_timeline	Visualize eye-tracking and multimodal process data
plot_uncertainty_by_item	Process measurement-uncertainty budgets
plot_uncertainty_by_stage	Process measurement-uncertainty budgets
plot_uncertainty_tornado	Process measurement-uncertainty budgets
plot_uncertainty_waterfall	Process measurement-uncertainty budgets
plot_validation_failures	Plot validation failure rates
plot_validation_runtime	Plot validation runtime
plot_variance_components	Process reliability and Generalizability Theory
plot_warping_functions	Pupil phase-amplitude registration
plot_windowed_recurrence	Recurrence and cross-recurrence analysis
posterior_predictive_discrepancies	Posterior predictive discrepancy table
posterior_sbc_contract	Define a posterior-SBC replication contract
power_process_simulation	Simulate and validate eyeprocess workflows
preaction_process_features	Build pre-action process features
predict.eyeprocess_model	Psychometric and process-data models
predict.eye_censored_normal_process_irt	Predict expected bounded response from a censored-normal process IRT fit
predict.eye_multinomial_transition	Predict destination-state probabilities
predict_aoi_trajectory	Predict from an AOI growth curve
predict_fixation_intensity	Spatio-temporal fixation point-process models
predict_item_parameter_priors	Predict pre-pilot item-parameter priors
predict_process_centiles	Conditional process reference centiles
predict_theta_at_time	Predict a latent trait at arbitrary times
preflight_decisions	Extract pre-flight decisions
preflight_exclusion_manifest	Create an explicit pre-flight exclusion/review manifest
preflight_failures	Extract pre-flight failures/review cases
preflight_passed	Extract pre-flight passes
prepare_dynamic_irtree_data	Prepare ordered transition data for dynamic IRTree models
prepare_functional_pupil_data	Prepare aligned, corrected functional pupil data
prepare_gaze_diffusion_data	Prepare joint accuracy-response-time data
prepare_multimodal_irt_data	Prepare a canonical multimodal person-item-trial measurement object
prepare_strategy_mixture_data	Prepare data for a strategy-mixture model
prepare_structured_unstructured_process_features	Prepare leakage-safe structured/unstructured process representations
preprocessing_multiverse	Run a preprocessing or AOI multiverse
preprocess_eye	Gaze and pupil preprocessing
preprocess_spec	Gaze and pupil preprocessing
print.eyeprocess_model	Psychometric and process-data models
print.eye_aoi	Trials, responses, stimuli, and areas of interest
print.eye_benchmark_reproduction	print eye benchmark reproduction
print.eye_benchmark_study	print eye benchmark study
print.eye_benchmark_validation	print eye benchmark validation
print.eye_clock_transform	Coordinate and timebase management
print.eye_corpus_validation	Validate real eye-tracking exports and compatibility corpora
print.eye_dataset	Create and manage eyeprocess datasets
print.eye_diffusion_diagnostics	print eye diffusion diagnostics
print.eye_diffusion_identification_study	print eye diffusion identification study
print.eye_dynamic_aoi	Psychometric and process-data models
print.eye_dynamic_irtree	print eye dynamic irtree
print.eye_dynamic_ppc	print eye dynamic ppc
print.eye_dynamic_recovery	print eye dynamic recovery
print.eye_engine_adapter_result	print eye engine adapter result
print.eye_feature_spec	Derive gaze, pupil, response-time, and biometric features
print.eye_format_detection	Mappings and adapter registry
print.eye_format_validation	Validate real eye-tracking exports and compatibility corpora
print.eye_format_validation_spec	Validate real eye-tracking exports and compatibility corpora
print.eye_functional_pupil_data	print eye functional pupil data
print.eye_functional_pupil_diagnostics	print eye functional pupil diagnostics
print.eye_functional_pupil_irt	print eye functional pupil irt
print.eye_functional_pupil_sensitivity	print eye functional pupil sensitivity
print.eye_functional_scalar_comparison	print eye functional scalar comparison
print.eye_gated_process_model	Print a gated process model object
print.eye_gaze_diffusion_data	print eye gaze diffusion data
print.eye_gaze_diffusion_irt	print eye gaze diffusion irt
print.eye_gaze_diffusion_spec	print eye gaze diffusion spec
print.eye_irt_evidence_grade	Print eye irt evidence grade
print.eye_irt_model_spec	Print a multimodal IRT model specification
print.eye_irt_validation_spec	Print eye irt validation spec
print.eye_mapping	Mappings and adapter registry
print.eye_missing_sensitivity	Experimental psychometric process models
print.eye_mi_result	Measurement-intelligence plotting and result infrastructure
print.eye_model_contract_validation	print eye model contract validation
print.eye_model_promotion_audit	print eye model promotion audit
print.eye_multinomial_transition	print eye multinomial transition
print.eye_partitioned_storage	print eye partitioned storage
print.eye_partition_spec	print eye partition spec
print.eye_plot_spec	Measurement-intelligence plotting and result infrastructure
print.eye_preprocess_spec	Gaze and pupil preprocessing
print.eye_process_drift_spec	Print a process drift spec object
print.eye_process_negative_control	Print eye process negative control
print.eye_process_preflight_spec	Print a process preflight spec object
print.eye_process_uncertainty_spec	Process measurement-uncertainty budgets
print.eye_process_window_spec	Print a process window spec object
print.eye_readiness	Quality control, sensitivity, and governance
print.eye_redaction_result	print eye redaction result
print.eye_roundtrip_loss_audit	print eye roundtrip loss audit
print.eye_roundtrip_validation	Validate real eye-tracking exports and compatibility corpora
print.eye_sensitivity	Quality control, sensitivity, and governance
print.eye_strategy_data	print eye strategy data
print.eye_strategy_manipulation_validation	print eye strategy manipulation validation
print.eye_strategy_mixture	Experimental psychometric process models
print.eye_theory_strategy_irt	print eye theory strategy irt
print.eye_theory_strategy_spec	print eye theory strategy spec
print.eye_transition_design	print eye transition design
print.eye_transition_diagnostics	print eye transition diagnostics
print.eye_two_stage_rt	Psychometric and process-data models
print.eye_validation	Create and manage eyeprocess datasets
print.eye_validation_bundle	Print a validation bundle object
print.eye_validation_case_fingerprint	print eye validation case fingerprint
print.eye_validation_collection	print eye validation collection
print.eye_validation_completion_audit	print eye validation completion audit
print.eye_validation_job_plan	print eye validation job plan
print.eye_validation_run	print eye validation run
print.eye_vendor_case	print eye vendor case
print.eye_vendor_compatibility_matrix	print eye vendor compatibility matrix
print.eye_vendor_schema_contract	Print eye vendor schema contract
print.eye_vendor_semantic_comparison	print eye vendor semantic comparison
print.eye_visual_context_registry	Print a visual context registry object
print.process_irt_spec	Experimental psychometric process models
print.summary.eyeprocess_model	Psychometric and process-data models
print.summary.eye_dataset	Create and manage eyeprocess datasets
probabilistic_aoi_assignment	Probabilistic AOI assignment under empirical calibration uncertainty
process_anomaly_distance	Extract multivariate process anomaly distances
process_bland_altman	Bland-Altman repeatability summary for two sessions
process_channel_ablation	Ablate process channels under a common out-of-sample evaluator
process_criterion_associations	Extract process-criterion associations
process_dependent_discrimination_audit	Audit process-dependent item discrimination
process_dif_nuisance_surrogate	Construct a process-data nuisance surrogate for DIF analysis
process_drift_alerts	Extract drift alerts
process_drift_spec	Specify a process-deployment drift audit
process_feature_blocks	Define conceptual process-feature blocks
process_feature_family_registry	Registry of process-feature families and interpretation guardrails
process_feature_stability	Summarize process-feature stability across repeated analyses
process_feature_time_provenance	Declare temporal provenance for process features
process_icc	Absolute-agreement ICC(A,1) for repeated process measures
process_information	Quantify incremental process information
process_irt_diagnostics	Experimental psychometric process models
process_irt_spec	Experimental psychometric process models
process_item_information	2PL response item information
process_measure_card	Return a one-measure process card
process_measure_coverage	Process-measure coverage for an observed dataset
process_measure_guardrails	Process-measure guardrail table
process_measure_lineage	Process-measure lineage table
process_measure_registry	Unified process-measure registry
process_measure_units	List units used by registered process measures
process_negative_control_permute	Permutation negative control
process_negative_control_shift	Temporal-shift negative control
process_ngram_features	N-gram features from process sequences
process_null_benchmark	Compare an observed effect against a negative-control null distribution
process_pattern_mixture	Informative missingness and MNAR sensitivity
process_person_fit	Joint response-process person-fit diagnostic
process_preflight_spec	Specify a biometric process pre-flight gate
process_profile_probabilities	Extract process-profile probabilities
process_profile_summary	Summarize process profiles
process_reliability_profile	Test-retest process reliability profile
process_residual_map	Return person/item latent-space coordinates
process_sensitivity_grid	Construct an explicit process-analysis sensitivity grid
process_sequence_embedding	Low-dimensional embedding of response-process sequences
process_state_occupancy	Summarize HMM state occupancy
process_state_transition_summary	Summarize HMM process-state transitions
process_temporal_stability	Pairwise temporal stability across sessions
process_uncertainty_spec	Process measurement-uncertainty budgets
process_validation_design	Define an empirical process-validation design
process_variance_components	Process reliability and Generalizability Theory
process_window_spec	Specify temporal process windows
promote_irt_model	Promote an IRT model after evidence gates are met
promote_vendor_support	Promote a case support level only when evidence is supplied
propagate_aoi_uncertainty	Probabilistic AOI assignment and uncertainty propagation
propagate_calibration_uncertainty	Propagate empirical calibration uncertainty around gaze samples
propagate_process_uncertainty	Process measurement-uncertainty budgets
provenance_edge_table	Build a provenance edge table
provenance_lineage_table	Build a provenance lineage node table
provenance_manifest	Create and manage eyeprocess datasets
prune_validation_checkpoints	Remove obsolete or corrupt validation checkpoints
public_validation_corpus	Public validation-corpus registry
pupil_activity_index	Compute a transparent pupil activity index
pupil_band_power	Compute pupil signal power in a frequency band
pupil_baseline_sensitivity	Evaluate pupil baseline-window sensitivity
pupil_confound_effects	Extract pupil confound-model effects
pupil_deconvolve	Gaze and pupil preprocessing
pupil_event_effects	Extract event effects from pupil deconvolution
pupil_event_regressor	Build an event-locked pupil regressor
pupil_frequency_features	Extract pupil frequency-domain and activity features by group
pupil_labs_format	Import Tobii, Pupil Labs, EyeLink, and SMI exports
pupil_latency_sensitivity	Pupil latency estimator sensitivity and resolvability audit
pupil_preprocessing_grid	Create a preprocessing sensitivity grid for pupil analysis
pupil_preprocessing_sensitivity	Run functional pupil preprocessing sensitivity analysis
pupil_response_kernel	Canonical gamma-shaped pupil response kernel
pupil_unit_fidelity_audit	Pupil-unit semantic-fidelity audit
pupil_velocity_activity	Derivative-based pupil activity magnitude

-- Q --

quantify_process_leakage	Quantify leakage from row-wise rather than grouped validation
query_eye_storage	Query partitioned eye storage lazily where possible

-- R --

raven_reproduction_spec	Specify a published Raven strategy-model reproduction
read_api_lifecycle_registry	Read API lifecycle registry from CSV
read_benchmark_table	Read a benchmark table
read_decision_manifest	Read a decision manifest written by eyeprocess
read_eyelink_asc	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_eyelink_edf	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_eyelink_report	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_eyeprocess_validation_evidence	Read and verify a frozen evidence bundle
read_eye_dataset	Export, reporting, and package bridges
read_eye_export	Mappings and adapter registry
read_eye_folder	Mappings and adapter registry
read_eye_generic	Import generic delimited eye-tracking data
read_gazepoint	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_aoi_statistics	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_biometrics	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_combined	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_events	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_fixations	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_folder	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_gaze	Import Gazepoint and Gazepoint Biometrics exports
read_gazepoint_summary	Import Gazepoint and Gazepoint Biometrics exports
read_pupillabs	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_pupil_core	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_pupil_neon	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_reproducibility_fingerprint	Read a reproducibility fingerprint
read_smi	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_smi_aoi_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_smi_event_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_smi_raw_export	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_tobii	Import Tobii, Pupil Labs, EyeLink, and SMI exports
read_validation_job_manifest	Read a validation manifest
read_validation_manifest	Validate real eye-tracking exports and compatibility corpora
read_validation_scenario_manifest	Read a validation scenario manifest
read_vendor_registry	Read the multi-vendor case registry
recalibrate_after_changepoint	Iteratively detect, clean, and recalibrate after process change points
recommended_validation_replications	Approximate simulation replications needed for a target Monte Carlo error
recurrence_features	Recurrence and cross-recurrence analysis
redact_validation_case	Redact a validation case without inventing replacement data
register_aois	Trials, responses, stimuli, and areas of interest
register_coordinate_space	Coordinate and timebase management
register_eye_adapter	Mappings and adapter registry
register_eye_api_status	Add or update API lifecycle metadata without global mutation
register_irt_model	Register a multimodal IRT model
register_process_measure	Add a process measure to a registry without global mutation
register_pupil_curves	Pupil phase-amplitude registration
register_validation_case	Register an independent validation case
register_vendor_semantics	Register vendor-field semantics
remap_recording_ids	Mappings and adapter registry
reporting_guideline_audit	Audit reporting-guideline coverage
report_eye_dataset	Export, reporting, and package bridges
report_processirt	Export, reporting, and package bridges
representative_scanpath	Representative scanpaths and scanpath distributions
response_matrix	Psychometric and process-data models
response_time_matrix	Psychometric and process-data models
resume_eye_pipeline	Resume a governed pipeline from a prior run
resume_validation_jobs	Resume incomplete or failed validation jobs
rolling_apply	Gaze and pupil preprocessing
roundtrip_eye_bids	Execute and audit an Eye-Tracking-BIDS round trip
roundtrip_eye_dataset	Validate real eye-tracking exports and compatibility corpora
run_benchmark_reproduction	Derive reproducible benchmark summaries
run_eyeprocess_equateirt	Run a named equateIRT linking/equating function without fallback substitution
run_eyeprocess_irt_ability_sbc	Run simulation-based calibration for known-item IRT ability scoring
run_eyeprocess_irt_recovery	Run IRT parameter recovery with the exact mirt engine
run_eyeprocess_mirtcat	Run a mirtCAT adaptive-testing workflow without fallback substitution
run_eyeprocess_stress_evidence	Execute a declared measurement-stress evidence plan
run_eyeprocess_validation_program	Run the complete validation-release programme
run_eye_benchmark	Run a computational scaling benchmark
run_eye_pipeline	Run a governed eyeprocess pipeline
run_gazepoint_workflow	Run the complete Gazepoint downstream workflow
run_model_validation	Run parameter-recovery, coverage, and misspecification validation
run_posterior_sbc	Run posterior simulation-based calibration from an explicit contract
run_process_negative_controls	Run repeated process negative controls
run_process_sensitivity	Run an explicit process-analysis multiverse
run_process_validation	Run an empirical process-validation programme
run_raven_reproduction	Execute a licensed published-model reproduction
run_sbc	Run generic simulation-based calibration
run_validation_jobs	Run validation jobs with checkpointing and deterministic seeds

-- S --

sbc_ecdf_deviation	ECDF deviation summary for SBC ranks
sbc_rank_diagnostics	Build SBC rank diagnostics
sbc_summary	Summarize simulation-based calibration
scanpath_dispersion	Representative scanpaths and scanpath distributions
scanpath_sequence	Derive gaze, pupil, response-time, and biometric features
schema_coverage	Validate real eye-tracking exports and compatibility corpora
schema_coverage_summary	Validate real eye-tracking exports and compatibility corpora
schema_table	Canonical schemas and coordinate spaces
score_partial_response_pattern	Score a partial response pattern from a calibrated mirt model
score_process_deviation	Conditional process reference centiles
score_response_stream	Score a response stream cumulatively
segment_process_episodes	Cognitive-episode change-point detection
select_next_item_process	Select the next item using response/process utility
semantic_fidelity_spec	Semantic fidelity specification
semantic_loss_map	Convert a semantic round-trip audit into a loss map
semantic_roundtrip_audit	Audit a complete semantic round trip
sensitivity_branch_fingerprint	Stable fingerprint of a sensitivity branch
sensitivity_decision_leverage	Decision leverage of each analytical choice
sensitivity_fragility_index	Fragility index across analysis specifications
sensitivity_missing_process	Experimental psychometric process models
sensitivity_mnar_process	Informative missingness and MNAR sensitivity
sensitivity_multiverse_manifest	Machine-readable multiverse manifest
sensitivity_process	Quality control, sensitivity, and governance
sensitivity_rank_stability	Rank stability across specifications
sensitivity_significance_stability	Significance-decision stability across specifications
sensitivity_sign_stability	Effect-sign stability across specifications
sensitivity_threshold_stability	Substantive-threshold stability across specifications
sequence_interoperability	Convert scanpaths to process/sequence package contracts
session_facet_effects	Extract session facet effects
set_eye_table	Create and manage eyeprocess datasets
simulate_advanced_process_data	Simulate advanced response-process data
simulate_dynamic_irtree_data	Simulate observed dynamic-state transitions
simulate_eyeprocess_catr	Run a catR adaptive-testing simulation without fallback substitution
simulate_eyeprocess_irt_binary	Simulate dichotomous IRT responses with optional local dependence and missingness
simulate_eye_dataset	Simulate and validate eyeprocess workflows
simulate_from_model	Simulate data from a model or registered model specification
simulate_gaze_diffusion_data	Simulate a hierarchical gaze-diffusion study
simulate_irt_model	Simulate from a registered multimodal IRT model
simulate_multimodal_irt	Simulate multimodal IRT process data
simulate_multimodal_m2	Simulate from the M2 response + RT + gaze generative model
simulate_multimodal_m3	Simulate the M3 response + RT + gaze + pupil generative model
simulate_multimodal_m4	Simulate M4 multimodal sequential measurement data
simulate_presentation_variants	Simulate pre-registered presentation variants for review
simulate_process_cat	Simulate a simple process-aware CAT policy
simulate_process_irt	Simulate and validate eyeprocess workflows
simulate_process_validation_data	Simulate a generic multimodal validation dataset with known truth
simulate_strategy_mixture_data	Simulate a theory-defined strategy-mixture study
simulation_based_calibration	Run simulation-based calibration
simulation_rank_statistic	Compute a simulation-based calibration rank statistic
software_paper_claim_matrix	Create or normalize a software-paper claim matrix
software_paper_coverage	Compute descriptive evidence coverage
software_paper_evidence_bundle	Construct a software-paper evidence bundle
software_paper_gap_analysis	Identify gaps in a software-paper evidence bundle
software_paper_readiness	Descriptive software-paper readiness audit
software_paper_validation_table	Summarise validation evidence for a software paper
source_preservation_audit	Validate real eye-tracking exports and compatibility corpora
specification_coverage	Fraction of planned specifications successfully evaluated
specification_curve_data	Prepare ordered specification-curve data
split_half_process_reliability	Split-half reliability for a trial-level process measure
split_validation_plan	Split a validation plan into independent chunks
standardize_eye_table	Canonical schemas and coordinate spaces
storage_transaction_manifest	Return the transaction manifest
store_quality	Quality control, sensitivity, and governance
strategy_aoi_sensitivity	Assess sensitivity to alternative AOI feature definitions
strategy_classification_uncertainty	Quantify strategy-classification uncertainty
strategy_label_switching_diagnostics	Diagnose label stability across multiple starts
strategy_posterior_probabilities	Posterior strategy probabilities
streaming_score_history	Extract streaming score history
stress_test_latent_distribution	Stress test latent distribution
stress_test_local_dependence	Stress test local dependence
stress_test_missingness	Stress test missingness
stress_test_misspecification	Run a generic misspecification stress-test grid
stress_test_preprocessing	Stress test preprocessing
stress_test_process_pipeline	Stress-test an analysis under explicit synthetic corruptions
stress_test_speededness	Stress test speededness
stress_test_summary	Summarise stress-test metrics
stress_tolerance_frontier	Identify the empirical stress frontier for a metric
structural_transition_mask	Define structural-zero and allowed transition masks
summarise_aoi_membership	Probabilistic AOI assignment and uncertainty propagation
summarise_eyeprocess_stress_evidence	Summarise executed measurement-stress evidence
summarise_eye_benchmark	Summarise benchmark timing and memory by problem size
summarise_process_negative_controls	Summarise process negative controls
summarise_process_sensitivity	Summarise process sensitivity results
summarise_process_validation	Summarise a process-validation result
summarise_validation_acceptance	Summarise an acceptance matrix
summarize_fixations	Derive gaze, pupil, response-time, and biometric features
summarize_parameter_recovery	Summarise parameter recovery
summarize_process_windows	Summarize extracted process windows
summary.eyeprocess_model	Psychometric and process-data models
summary.eye_dataset	Create and manage eyeprocess datasets
summary.eye_format_validation	Validate real eye-tracking exports and compatibility corpora
summary.eye_parameter_recovery	Simulate and validate eyeprocess workflows
summary.eye_validation_bundle	Summarize a validation bundle object
summary.eye_validation_job_plan	summary eye validation job plan
supported_eye_formats	Mappings and adapter registry
synchronize_eye_biometrics	Coordinate and timebase management
synthetic_corruption_plan	Define synthetic measurement corruptions for stress testing

-- T --

theory_strategy_spec	Define a theory-constrained strategy-mixture model
timestamp_fidelity_audit	Timestamp semantic-fidelity audit
trace_item_decision	Evidence and decision provenance graphs
transform_aoi_composition	Compositional analysis of AOI attention
transition_entropy	Derive gaze, pupil, response-time, and biometric features
transition_matrix	Derive gaze, pupil, response-time, and biometric features
transition_residual_diagnostics	Compute transition residual diagnostics
trial_table	Derive gaze, pupil, response-time, and biometric features

-- U --

uncertainty_budget	Process measurement-uncertainty budgets
unregister_eye_adapter	Mappings and adapter registry
update_person_score	Update a partial person score with one new response
upgrade_eyeprocess_model	Upgrade a legacy eyeprocess model
upgrade_eye_dataset	Upgrade a legacy eye dataset

-- V --

validate_against_reference	Compare a validation result with a frozen reference
validate_benchmark_study	Validate benchmark integrity and relational constraints
validate_bids_eye_semantics	Validate BIDS eye-tracking semantics
validate_decision_manifest	Validate a research decision manifest
validate_engine_adapter	Validate an external-engine adapter contract
validate_eyelink_export	Validate real eye-tracking exports and compatibility corpora
validate_eyeprocess_external_irt_fit	Validate that an external IRT fit used the requested engine
validate_eyeprocess_irt_item_bank	Validate an adaptive IRT item bank
validate_eyeprocess_irt_model_spec	Validate an eyeprocess IRT model specification
validate_eyeprocess_joint_process_irt_spec	Validate a joint process IRT specification
validate_eyeprocess_validation_plan	Validate a validation-evidence plan
validate_eye_corpus	Validate real eye-tracking exports and compatibility corpora
validate_eye_dataset	Create and manage eyeprocess datasets
validate_eye_mapping	Mappings and adapter registry
validate_eye_pipeline	Validate a governed eyeprocess pipeline
validate_eye_prov_graph	Validate a provenance graph
validate_eye_source	Validate real eye-tracking exports and compatibility corpora
validate_eye_storage_metadata	Validate storage metadata and partition fingerprints
validate_eye_table	Canonical schemas and coordinate spaces
validate_feature_availability	Validate feature availability against an analysis cutoff
validate_gazepoint_workflow	Validate an integrated Gazepoint workflow result
validate_generic_export	Validate real eye-tracking exports and compatibility corpora
validate_hed_event_semantics	Minimal HED annotation audit for event tables
validate_irt_model	Validate a registered multimodal IRT model
validate_latent_space_process_similarity	Validate latent-space proximity against process similarity
validate_model_object	Validate a fitted model against the stable model contract
validate_multimodal_irt	Validate a multimodal IRT development object
validate_multimodal_m2	Validate an M2 fit or simulation
validate_multimodal_m3	Validate an M3 simulation or fitted four-channel model
validate_multimodal_m4	Validate M4 data, computation, state behavior, and evidence
validate_process_measure_registry	Validate a process-measure registry
validate_process_validation_design	Validate a process-validation design
validate_process_windows	Validate a process-window representation
validate_pupillabs_export	Validate real eye-tracking exports and compatibility corpora
validate_smi_export	Validate real eye-tracking exports and compatibility corpora
validate_strategy_manipulation	Validate strategy posteriors against an experimental manipulation
validate_tobii_export	Validate real eye-tracking exports and compatibility corpora
validate_vendor_semantics	Validate imported data against a vendor semantic contract
validate_vendor_timestamp_semantics	Validate vendor-specific timestamp semantics
validation_acceptance_matrix	Evaluate a table against named validation rules
validation_acceptance_rule	Define a validation acceptance rule
validation_bundle_manifest	Create a machine-readable validation manifest
validation_calibration_summary	Summarize prediction calibration
validation_condition_id	Return stable validation condition identifiers
validation_condition_ranking	Rank validation conditions by a transparent robustness score
validation_coverage_table	Interval-coverage table
validation_evidence_levels	Detailed validation evidence levels
validation_evidence_matrix	Create a model-by-evidence validation matrix
validation_failure_profile	Failure profile for a validation programme
validation_failure_summary	Summarize convergence and execution failures
validation_failure_taxonomy	Classify common estimator failures without hiding the original message
validation_job_plan	Create a deterministic validation job plan
validation_ladder	Build a measurement-to-generalization validation ladder
validation_manifest	Validate real eye-tracking exports and compatibility corpora
validation_mcse	Monte Carlo standard errors for validation metrics
validation_mcse_profile	Estimate Monte Carlo uncertainty for validation summaries
validation_recovery_summary	Summarize parameter recovery
validation_recovery_table	Parameter-recovery table
validation_replication_budget	Compute a replication budget from a target MCSE
validation_report	Render a conservative validation report
validation_robustness_score	Overall validation robustness score
validation_runtime_summary	Summarize validation runtime and checkpoint scale
validation_sbc_summary	Summarize simulation-based calibration ranks
validation_scenario_manifest	Create a scenario manifest for frozen validation work
validation_seed	Allocate a deterministic validation seed
validation_summary_mcse	Monte Carlo standard-error diagnostics for validation summaries
validation_thresholds	Specify completion and scientific-promotion thresholds
vendor_schema_contract	Declare a vendor semantic schema contract
vendor_validation_spec	Specify multi-vendor empirical validation requirements
verify_decision_manifest_lock	Verify that a locked manifest has not changed
verify_eyeprocess_validation_atlas	Verify a frozen validation atlas
verify_eyeprocess_validation_evidence	Verify the integrity hash of a frozen evidence bundle
verify_outcome_blind_snapshot	Verify an outcome-blind snapshot has not changed
verify_reproducibility_fingerprint	Verify an internally stored fingerprint hash
verify_reproducibility_manifest	Verify a reproducibility manifest
visual_context_registry	Build an item-to-visual-context registry

-- W --

windowed_recurrence	Recurrence and cross-recurrence analysis
write_advanced_model_evidence_report	Write an advanced-model evidence report
write_api_lifecycle_registry	Write API lifecycle registry to CSV
write_benchmark_data_dictionary	Write the benchmark data dictionary
write_decision_manifest	Write a decision manifest
write_eyeprocess_validation_evidence	Write a frozen evidence bundle
write_eyeprocess_validation_report	Write a compact Markdown validation report
write_eye_dataset	Export, reporting, and package bridges
write_eye_pipeline_report	Write a conservative pipeline report
write_eye_storage	Write an eye dataset to RDS or Arrow/Parquet storage
write_eye_targets_template	Write an explicit '_targets.R' template from a governed pipeline
write_format_validation_report	Validate real eye-tracking exports and compatibility corpora
write_gazepoint_workflow_report	Write a reproducible Gazepoint workflow report
write_model_promotion_report	Write a model-promotion report
write_partitioned_eye_storage	Write an eye dataset as atomic partitioned storage
write_provenance	Export, reporting, and package bridges
write_prov_dot	Return Graphviz DOT for a provenance graph
write_reporting_guideline_report	Write a reporting-guideline audit report
write_reproducibility_fingerprint	Write a reproducibility fingerprint
write_software_paper_evidence	Write a human-readable software-paper evidence report
write_software_paper_reproduction	Write a complete software-paper reproduction scaffold
write_software_paper_scaffold	Write a methodological software-paper scaffold
write_validation_job_manifest	Write a machine-readable validation manifest
write_validation_manifest	Validate real eye-tracking exports and compatibility corpora
write_validation_release_report	Write a validation release report
write_validation_report	Write a validation report to disk
write_validation_scenario_manifest	Write a validation scenario manifest
write_vendor_case_report	Write a vendor case evidence report
write_vendor_registry	Write the multi-vendor case registry
write_vendor_validation_report	Write a multi-vendor validation report