Package index • gp3tools

Import, file checks, and master data

Read Gazepoint exports, inspect columns, create master tables, and validate analysis-ready data.

read_gazepoint(): Read a Gazepoint all-gaze or fixation CSV export
read_gazepoint_folder(): Read multiple Gazepoint CSV exports from a folder
read_gazepoint_summary(): Read a Gazepoint Analysis Data Summary export
classify_gazepoint_export(): Classify a Gazepoint export
inspect_gazepoint_columns(): Inspect Gazepoint columns
standardise_gazepoint_names(): Standardise Gazepoint column names
check_gazepoint_file_pairs(): Check Gazepoint all-gaze and fixation file pairs
create_gazepoint_master(): Create a master long-format dataset from Gazepoint all-gaze data
as_gazepoint_master(): Convert Gazepoint all-gaze data to a master sample table
audit_gazepoint_master(): Audit a Gazepoint master sample table
validate_gazepoint_master(): Validate a Gazepoint master sample table
export_gazepoint_master_audit(): Export a Gazepoint master table, audit tables, and validation tables

Quick workflows, reports, and outputs

Run folder-level workflows, create reports, save plots, and write standard output tables.

run_gazepoint_workflow(): Run a complete Gazepoint analysis workflow
summarise_gazepoint_workflow(): Summarise a Gazepoint workflow result
create_gazepoint_report(): Create a Gazepoint HTML diagnostic report
write_gazepoint_outputs(): Write standard Gazepoint analysis outputs
export_gazepoint_tables(): Export Gazepoint analysis tables to CSV files
save_gazepoint_plots(): Save standard Gazepoint diagnostic plots

Sampling, tracking quality, and QC summaries

Check sampling rate, tracking quality, standardized accuracy/precision/BCEA, effective sampling, screen bounds, coordinate coverage, missingness, and task-phase coverage.

summarise_gazepoint_spatial_quality() create_gazepoint_quality_report() plot_gazepoint_quality_dashboard() report_gazepoint_quality(): Gazepoint adapters for standardized eye-tracking data quality
check_sampling_rate(): Check sampling rate by group
plot_sampling_rate(): Plot Gazepoint sampling-rate diagnostics
summarise_tracking_quality(): Summarise Gazepoint tracking quality
flag_tracking_quality(): Flag low-quality Gazepoint recordings
clean_gazepoint_by_trackloss(): Flag or filter Gazepoint data by trackloss
plot_tracking_quality(): Plot Gazepoint tracking-quality diagnostics
audit_gazepoint_gaze_signal_quality(): Audit Gazepoint gaze-signal quality
audit_gazepoint_screen_bounds(): Audit Gazepoint gaze coordinates against screen bounds
harmonize_gazepoint_screen_coordinates(): Harmonize Gazepoint screen coordinates across resolutions
summarize_gazepoint_coordinate_coverage(): Summarize gaze-coordinate coverage over a screen grid
summarize_gazepoint_missingness() summarise_gazepoint_missingness(): Summarize missingness in Gazepoint-style data
plot_gazepoint_missingness_profile(): Plot a Gazepoint missingness profile
report_gazepoint_missingness(): Report Gazepoint missingness
segment_gazepoint_task_phases(): Segment Gazepoint-style data into task phases
summarize_gazepoint_phase_coverage() summarise_gazepoint_phase_coverage(): Summarize task-phase coverage
report_gazepoint_phase_coverage(): Report task-phase coverage
plot_gazepoint_phase_timeline(): Plot a Gazepoint task-phase timeline
collect_gazepoint_qc_summaries(): Collect Gazepoint QC summaries
summarize_gazepoint_qc_status() summarise_gazepoint_qc_status(): Summarize Gazepoint QC status
report_gazepoint_qc_overview(): Report Gazepoint QC overview
plot_gazepoint_qc_overview(): Plot a Gazepoint QC overview
launch_gazepoint_qc_dashboard(): Launch or describe a lightweight QC dashboard

Stimulus layout and AOI geometry QC

Audit AOI geometry, screen coverage, overlap, margins, and stimulus-layout quality.

audit_gazepoint_aoi_geometry(): Audit AOI geometry definitions
audit_gazepoint_aoi_overlap(): Audit AOI overlap
audit_gazepoint_aoi_margin_sensitivity(): Audit AOI margin sensitivity
audit_gazepoint_aoi_uncertainty() run_gazepoint_aoi_sensitivity() plot_gazepoint_aoi_sensitivity(): Gazepoint Adapters for AOI Perturbation and Uncertainty Analysis
audit_gazepoint_aoi_screen_coverage(): Audit AOI coverage against screen bounds
audit_gazepoint_aoi_coding_matrix(): Audit AOI coding against geometry
plot_gazepoint_aoi_verification(): Plot AOI geometry for visual verification
plot_gazepoint_stimulus_layout_qc(): Plot stimulus-layout quality control
add_gazepoint_polygon_aoi(): Add polygon AOI membership to Gazepoint data
add_gazepoint_dynamic_aoi(): Add time-varying AOI membership to Gazepoint data
audit_gazepoint_dynamic_aoi_coverage(): Audit time-varying AOI coverage

Pupil preprocessing, audits, and windows

Flag, interpolate, baseline-correct, smooth, audit, reconstruct, validate, and summarise pupil data.

summarise_gazepoint_pupil(): Summarise Gazepoint pupil data
flag_gazepoint_pupil(): Flag invalid, missing, implausible, and outlying Gazepoint pupil samples
combine_gazepoint_eyes(): Combine left and right Gazepoint eye channels
diagnose_gazepoint_binocular_pupil(): Diagnose binocular pupil quality and agreement
fit_gazepoint_binocular_calibration(): Fit audited cross-eye pupil calibration models
reconstruct_gazepoint_binocular_pupil(): Reconstruct temporarily unavailable binocular pupil channels
construct_gazepoint_combined_pupil(): Construct an explicitly governed combined pupil signal
validate_gazepoint_binocular_reconstruction(): Validate binocular reconstruction using artificial monocular loss
stress_test_gazepoint_binocular_reconstruction(): Stress-test binocular reconstruction across missingness levels
audit_gazepoint_binocular_reconstruction(): Audit binocular reconstruction burden and imbalance
analyse_gazepoint_binocular_sensitivity(): Compare pupil-construction policies as a sensitivity analysis
summarise_gazepoint_binocular_reporting(): Create manuscript-ready binocular reconstruction reporting
plot_gazepoint_binocular_diagnostics(): Plot binocular pupil diagnostics, reconstruction, and sensitivity
flag_gazepoint_pupil_artifacts(): Flag Gazepoint pupil artifacts before interpolation
flag_gazepoint_pupil_hampel(): Flag pupil artifacts with a Hampel filter
interpolate_gazepoint_pupil(): Interpolate short missing gaps in Gazepoint pupil data
interpolate_gazepoint_pupil_pchip(): Interpolate Gazepoint pupil data using PCHIP
baseline_correct_gazepoint_pupil(): Baseline-correct Gazepoint pupil data
smooth_gazepoint_pupil(): Smooth Gazepoint pupil data
create_gazepoint_preprocessing_registry(): Create a Gazepoint pupil-preprocessing registry
create_gazepoint_preprocessing_multiverse(): Create a Gazepoint preprocessing multiverse
run_gazepoint_pupil_multiverse(): Run a Gazepoint pupil preprocessing multiverse
audit_gazepoint_pupil_gaps(): Audit Gazepoint pupil interpolation gaps
audit_gazepoint_pupil_baseline(): Audit Gazepoint pupil baseline quality
audit_gazepoint_pupil_drift(): Audit Gazepoint pupil drift
audit_gazepoint_pupil_imbalance(): Audit Gazepoint pupil preprocessing imbalance
audit_gazepoint_pupil_overlap_risk(): Audit Gazepoint pupil-response overlap risk
audit_gazepoint_pupil_reliability(): Audit split-half reliability for Gazepoint pupil outcomes
audit_gp3_pupil_latency_resolution(): Audit GP3 pupil-latency estimator sensitivity
audit_gazepoint_stimulus_luminance(): Audit stimulus luminance and brightness for Gazepoint studies
summarise_gazepoint_pupil_windows(): Summarise Gazepoint pupil responses within time windows
summarise_gazepoint_pupil_trial_features(): Summarise Gazepoint pupil trial-level features
plot_gazepoint_pupil_status(): Plot Gazepoint pupil preprocessing status
plot_gazepoint_pupil_preprocessing(): Plot Gazepoint pupil preprocessing for one trial
plot_gazepoint_pupil_timecourse(): Plot Gazepoint pupil time course

Pupil modelling and time-course data

Prepare and fit pupil-window, GAMM, PFE-GAMM, and growth-curve models.

prepare_gazepoint_pupil_window_model_data(): Prepare pupil-window data for confirmatory mixed models
fit_gazepoint_pupil_window_lmm(): Fit confirmatory pupil-window linear mixed models
fit_gazepoint_pupil_window_sensitivity(): Run sensitivity models for confirmatory pupil-window analyses
prepare_gazepoint_pupil_gamm_data(): Prepare Gazepoint pupil GAMM data
fit_gazepoint_pupil_gamm(): Fit a Gazepoint pupil GAMM
fit_gazepoint_pupil_pfe_gamm(): Fit a gaze-position-adjusted pupil GAMM sensitivity model
prepare_gazepoint_gca_data(): Prepare Gazepoint Growth Curve Analysis data
fit_gazepoint_gca(): Fit a Gazepoint Growth Curve Analysis mixed model
plot_gazepoint_gca(): Plot observed and fitted Growth Curve Analysis trajectories

AOI summaries and AOI modelling

Summarise AOI behaviour, prepare AOI-window data, and fit GLMM/GAMM/sensitivity models.

summarise_aoi_samples(): Summarise sample-level AOI viewing
summarise_gazepoint_aoi(): Summarise Gazepoint AOI metrics from gaze and fixation exports
summarise_gazepoint_aoi_entries(): Summarise Gazepoint AOI entry episodes
summarise_gazepoint_aoi_windows(): Summarise Gazepoint AOI samples within predefined time windows
summarise_gazepoint_aoi_trial_features(): Summarise Gazepoint AOI trial features
audit_gazepoint_aoi_window_denominators(): Audit AOI window denominators before binomial modelling
prepare_gazepoint_aoi_glmm_data(): Prepare AOI-window data for binomial GLMMs
fit_gazepoint_aoi_window_glmm(): Fit an AOI-window binomial GLMM
transform_gazepoint_aoi_empirical_logit(): Transform AOI proportions to empirical logits
fit_gazepoint_aoi_model_sensitivity(): Fit AOI-window model-family sensitivity checks
run_gazepoint_aoi_multiverse(): Run a Gazepoint AOI preprocessing multiverse
prepare_gazepoint_aoi_gamm_data(): Prepare AOI time-course data for GAMM analysis
fit_gazepoint_aoi_gamm(): Fit AOI time-course GAMMs
plot_gazepoint_aoi_gamm(): Plot AOI time-course GAMM results
fit_gazepoint_aoi_brms(): Fit an optional Bayesian AOI model with brms

Fixations, AOI sequences, transitions, and scanpaths

Summarise fixation data, AOI sequences, transition matrices, scanpaths, and sequence reliability.

summarise_fixations(): Summarise fixation-level AOI metrics
summarise_gazepoint_fixation_trials(): Summarise Gazepoint fixation trial features
audit_gazepoint_fixation_reliability(): Audit split-half reliability of fixation or AOI metrics
detect_gazepoint_fixations_ivt(): Detect simple I-VT fixations from gaze samples
prepare_gazepoint_fixation_aligned_data(): Prepare fixation- or saccade-contingent aligned Gazepoint data
prepare_gazepoint_aoi_sequences(): Prepare Gazepoint AOI sequences
summarise_gazepoint_aoi_transitions(): Summarise Gazepoint AOI transition features
compute_transition_matrix(): Compute an AOI transition matrix
compute_gazepoint_aoi_transition_matrix(): Compute Gazepoint AOI transition matrices
compute_gazepoint_time_varying_transition_matrix(): Compute time-varying Gazepoint transition matrices
compute_gazepoint_transition_network_metrics(): Compute lightweight AOI transition-network metrics
fit_gazepoint_transition_count_nb_sensitivity(): Fit optional negative-binomial transition-count sensitivity models
compute_gazepoint_aoi_entropy(): Compute AOI entropy metrics
compute_gazepoint_aoi_sequence_metrics(): Compute AOI sequence metrics
compute_gazepoint_sequence_complexity(): Compute AOI sequence complexity metrics
compute_gazepoint_sequence_distance(): Compute AOI sequence distance
compute_gazepoint_scanpath_similarity(): Compute AOI scanpath similarity
cluster_gazepoint_scanpaths(): Cluster Gazepoint AOI scanpaths
select_gazepoint_scanpath_clusters(): Select the number of scanpath clusters
extract_gazepoint_representative_scanpaths(): Extract representative scanpaths
plot_gazepoint_scanpath_clusters(): Plot fitted scanpath clusters
bootstrap_gazepoint_scanpath_clusters(): Bootstrap scanpath-cluster stability
summarise_gazepoint_scanpath_cluster_stability(): Summarise scanpath-cluster stability
plot_gazepoint_scanpath_cluster_stability(): Plot scanpath-cluster stability
compute_gazepoint_sequence_recurrence(): Compute simple categorical sequence recurrence metrics
compute_gazepoint_saccade_metrics(): Compute basic saccade metrics from fixation coordinates
flag_gazepoint_sequence_anomalies(): Flag unusual AOI sequences
plot_gazepoint_aoi_timeline(): Plot an AOI timeline
plot_gazepoint_aoi_transition_matrix(): Plot Gazepoint AOI transition matrix
plot_transition_heatmap(): Plot an AOI transition heatmap
plot_gazepoint_scanpath(): Plot a fixation scanpath
plot_gazepoint_scanpaths(): Plot multiple Gazepoint scanpaths

Cluster permutation and advanced time-course inference

Prepare, run, summarise, plot, and export cluster-based time-course analyses.

prepare_gazepoint_cluster_data(): Prepare time-course data for cluster-based permutation tests
run_gazepoint_cluster_permutation(): Run paired cluster-based permutation tests
run_gazepoint_cluster_permutation_anova(): Guardrail for cluster-permutation ANOVA
run_gazepoint_cluster_permutation_covariate_adjusted(): Guardrail for covariate-adjusted cluster permutation
run_gazepoint_cluster_permutation_lmer(): Guardrail for mixed-model cluster permutation
run_gazepoint_cluster_permutation_parallel(): Guardrail for parallel cluster permutation
run_gazepoint_multidimensional_cluster_permutation(): Guardrail for multidimensional cluster permutation
run_gazepoint_cluster_threshold_sensitivity(): Run threshold-sensitivity checks for Gazepoint cluster permutation
run_gazepoint_tfce(): Guardrail for threshold-free cluster enhancement
summarise_gazepoint_clusters(): Summarise cluster-based permutation results
summarize_gazepoint_time_clusters(): Summarize Gazepoint time clusters
estimate_gazepoint_cluster_onset(): Guardrail for exact cluster-onset estimation
estimate_gazepoint_cluster_offset(): Guardrail for exact cluster-offset estimation
estimate_gazepoint_divergence_point(): Estimate a bootstrapped divergence point between two Gazepoint time courses
bootstrap_gazepoint_timecourse(): Bootstrap time-course summaries
plot_gazepoint_cluster_results(): Plot cluster-based permutation results
plot_gazepoint_cluster_permutation(): Plot a Gazepoint cluster-permutation result
plot_gazepoint_cluster_null_distribution(): Plot the cluster-permutation null distribution
plot_gazepoint_time_varying_effect(): Plot a time-varying effect curve
report_gazepoint_cluster_permutation(): Report a Gazepoint cluster-permutation result
export_gazepoint_cluster_results(): Export Gazepoint cluster-permutation results
export_gazepoint_mne_cluster_input(): Export Gazepoint time-course data for MNE-style cluster workflows
export_gazepoint_permuco_cluster_input(): Export Gazepoint time-course data for permuco-style cluster workflows
export_gazepoint_permutes_cluster_input(): Export Gazepoint time-course data for permutes-style cluster workflows
prepare_gazepoint_timecourse_test_data(): Prepare time-course data for Gazepoint cluster-permutation testing

Model diagnostics, summaries, sensitivity, and reporting

Diagnose models, compare nested models, create model tables, and audit final analysis decisions.

check_gazepoint_model_convergence(): Check model convergence
check_gazepoint_model_singularity(): Check model singularity
check_gazepoint_model_overdispersion(): Check model overdispersion
diagnose_gazepoint_glmm(): Diagnose GLMM, LMM, and GLM models
diagnose_gazepoint_gamm(): Diagnose GAM and BAM models
compare_gazepoint_nested_models(): Compare nested Gazepoint models
run_gazepoint_model_leave_one_out(): Run leave-one-unit model sensitivity analysis
plot_gazepoint_model_predictions(): Plot observed summaries and model-implied predictions
plot_gazepoint_model_residuals(): Plot model residual diagnostics
tidy_gazepoint_model_summary(): Create a tidy model summary for manuscript tables
summarise_gazepoint_fixed_effects(): Summarise fixed effects from fitted models
summarise_gazepoint_emmeans(): Summarise estimated marginal means and contrasts
export_gazepoint_model_tables(): Export manuscript-ready model tables
check_gazepoint_real_data_readiness(): Check real-data readiness before Gazepoint analysis
recommend_gazepoint_exclusions(): Recommend trial and participant exclusions
create_gazepoint_reporting_checklist(): Create a Gazepoint reporting checklist
create_gazepoint_analysis_decision_audit(): Create a final Gazepoint analysis-decision audit
report_gazepoint_multiverse(): Report multiverse-analysis results
plot_gazepoint_multiverse_results(): Plot Gazepoint preprocessing multiverse results
summarise_gazepoint_multiverse_results(): Summarise Gazepoint preprocessing multiverse results
audit_gazepoint_condition_quality_imbalance(): Audit condition-level quality imbalance
audit_gazepoint_design_balance(): Audit Gazepoint experimental design balance
audit_gazepoint_event_sync(): Audit Gazepoint event and timing synchronisation
audit_gazepoint_exclusion_flow(): Audit Gazepoint exclusion and retention flow
audit_gazepoint_post_exclusion_balance(): Audit post-exclusion condition balance
audit_gazepoint_timecourse_grid(): Audit a Gazepoint time-course grid for cluster-permutation readiness
diagnose_gazepoint_cluster_design(): Diagnose the design assumptions of a Gazepoint cluster-permutation workflow
recalibrate_gazepoint_gaze(): Offline gaze recalibration using known target coordinates

Bayesian planning and advanced model preparation

recommend_gazepoint_model_family(): Recommend model families for Gazepoint-derived metrics
check_gazepoint_bayesian_readiness(): Check readiness of a Gazepoint-derived dataset for Bayesian or advanced models
create_gazepoint_bayesian_sap(): Create a Bayesian ocular Statistical Analysis Plan checklist
create_gazepoint_brms_template(): Create brms formula and prior templates for Gazepoint-derived metrics
prepare_gazepoint_hddm_export(): Prepare a trial-level export for Python HDDM
summarize_gazepoint_pupil_response_features(): Summarize pupil response features by subject and trial
compute_gazepoint_scanpath_geometry(): Compute scanpath geometry features by subject and trial
fit_gazepoint_brms_model(): Fit an optional brms model for Gazepoint-derived data
create_gazepoint_hddm_fit_script(): Create a Python HDDM fitting script from a Gazepoint HDDM export
select_gazepoint_adaptive_trial(): Select the next adaptive trial from candidate stimuli
classify_gazepoint_events_hmm(): Classify gaze events with a lightweight unsupervised HMM
impute_gazepoint_pupil_gp(): Impute missing pupil samples with a lightweight Gaussian-process smoother
filter_gazepoint_cnn_uncertainty(): Apply uncertainty filtering to Bayesian CNN or webcam gaze outputs

External face-data and multimodal workflows

Work with externally generated face-analysis outputs and multimodal response models.

read_gazepoint_face_export(): Read external facial-analysis exports
standardize_gazepoint_face_columns(): Standardise external facial-analysis columns
audit_gazepoint_face_quality(): Audit external facial-behaviour data quality
summarize_gazepoint_face_quality() summarise_gazepoint_face_quality(): Summarise external facial-behaviour data quality
plot_gazepoint_face_quality(): Plot external facial-behaviour data quality
sync_gazepoint_face_data(): Synchronise external facial-behaviour data with Gazepoint data
audit_gazepoint_face_sync(): Audit synchronisation between Gazepoint and external facial-behaviour data
summarize_gazepoint_face_windows(): Summarise external facial-behaviour data within analysis windows
summarize_gazepoint_face_reactivity(): Summarise facial-behaviour reactivity between two windows
prepare_gazepoint_multimodal_data(): Prepare multimodal Gazepoint and external face-window data
fit_gazepoint_face_window_lmm(): Fit a facial-behaviour window mixed or linear model
fit_gazepoint_multimodal_response_model(): Fit a multimodal response model
create_gazepoint_face_reporting_checklist(): Create a reporting checklist for external facial-behaviour workflows
report_gazepoint_face_qc(): Report external facial-behaviour QC and reporting readiness

Ecosystem adapters and external package bridges

Prepare Gazepoint data for other R eye-tracking, pupil, sequence, and export ecosystems.

prepare_gazepoint_eyetrackingr_data(): Prepare Gazepoint master data for eyetrackingR-style workflows
prepare_gazepoint_pupillometryr_data(): Prepare Gazepoint master data for pupillometryR-style workflows
prepare_gazepoint_gazer_data(): Prepare Gazepoint master data for gazer-style workflows
prepare_gazepoint_eyetools_data(): Prepare Gazepoint master data for eyetools-style workflows
run_gazepoint_gazer_crosscheck(): Run an optional gazeR pupil-preprocessing cross-check
run_gazepoint_eyetools_fixation_detection(): Run optional eyetools fixation and saccade detection
prepare_gazepoint_traminer_data(): Prepare AOI sequences for TraMineR-style workflows
prepare_gazepoint_semimarkov_data(): Prepare Gazepoint AOI sequences for semi-Markov modelling
prepare_gazepoint_hmm_data(): Prepare Gazepoint AOI/state sequences for HMM-style workflows
create_gazepoint_markovchain_object(): Create a Gazepoint AOI Markov-chain object
summarise_gazepoint_markovchain(): Summarise a Gazepoint Markov-chain object
summarise_gazepoint_semimarkov(): Summarise Gazepoint semi-Markov data
export_gazepoint_to_bids(): Export Gazepoint data to a lightweight BIDS-style folder
prepare_gazepoint_gpbiometrics_bridge(): Prepare gp3tools gaze output for a gpbiometrics workflow
run_gazepoint_gpbiometrics_workflow(): Run a tested gp3tools-to-gpbiometrics integration workflow
create_gazepoint_cross_package_report(): Create a combined gp3tools-gpbiometrics workflow report

Censored gaze-latency survival adapters

Thin Gazepoint convenience wrappers that delegate censoring, Cox/AFT modelling, diagnostics, sensitivity, and reporting to eyeprocess.

prepare_gazepoint_survival_data() run_gazepoint_latency_analysis(): Gazepoint adapters for censored gaze-latency survival analysis

Naming and compatibility

User-facing spelling policy, API audits, and compatibility aliases.

gp3tools_naming_policy(): gp3tools user-facing naming policy
audit_gazepoint_naming_consistency(): Audit British and American summary-function spellings
write_gazepoint_naming_audit(): Write a gp3tools naming-consistency audit
summarise_gazepoint_coordinate_coverage(): British-spelling alias for summarize_gazepoint_coordinate_coverage()
summarise_gazepoint_face_reactivity(): British-spelling alias for summarize_gazepoint_face_reactivity()
summarise_gazepoint_face_windows(): British-spelling alias for summarize_gazepoint_face_windows()
summarise_gazepoint_pupil_response_features(): British-spelling alias for summarize_gazepoint_pupil_response_features()
summarise_gazepoint_time_clusters(): British-spelling alias for summarize_gazepoint_time_clusters()

Plotting and visual diagnostics

General-purpose visual diagnostics for time series, heatmaps, AOIs, and spatial outputs.

plot_gazepoint_time_series(): Plot a Gazepoint-style time series
prepare_gazepoint_heatmap_data(): Prepare gaze or fixation coordinates for heatmap plotting
plot_gazepoint_heatmap(): Plot a Gazepoint gaze or fixation heatmap
plot_gazepoint_heatmap_overlay(): Plot a Gazepoint heatmap over a background image
export_gazepoint_heatmap_png(): Export a Gazepoint heatmap plot to PNG

Signal preprocessing extensions

Detect fixation and blink events, process binocular pupil signals, smooth coordinates, label AOIs, create sliding-window summaries, and simulate fixation data.

detect_gazepoint_fixations_velocity(): Detect fixations with a velocity-threshold algorithm
detect_gazepoint_blinks(): Detect blink intervals from pupil measurements
interpolate_gazepoint_blinks(): Interpolate pupil values across detected blink intervals
regress_gazepoint_pupils(): Fuse binocular pupil traces using cross-eye regression
mean_gazepoint_pupil(): Calculate mean binocular pupil size
downsample_gazepoint_pupil(): Downsample pupil data by integer-factor aggregation
smooth_gazepoint_coordinate(): Smooth gaze coordinates within independent sequences
add_gazepoint_aoi(): Add rectangular AOI membership to gaze data
analyze_gazepoint_window(): Summarise gaze or pupil measures in sliding time windows
simulate_gazepoint_fixations(): Simulate Gazepoint-like fixation events
preprocess_gazepoint_signals(): Run an integrated Gazepoint signal-preprocessing workflow
compare_gazepoint_event_detectors(): Compare Gazepoint event-detection workflows
gp3tools_performance_limits(): Default performance limits for gp3tools export workflows
benchmark_gazepoint_export_performance(): Benchmark gp3tools on increasingly large Gazepoint exports
check_gazepoint_performance_regression(): Check gp3tools performance results against regression limits
write_gazepoint_performance_benchmark(): Write gp3tools performance benchmark tables
summarise_gazepoint_event_detector_agreement(): Summarise agreement between event detectors
plot_gazepoint_event_detector_agreement(): Plot event-detector comparison diagnostics
create_gazepoint_event_review_template(): Create a manual event-review template
benchmark_gazepoint_event_detectors(): Benchmark Gazepoint event detectors against reviewed events
summarise_gazepoint_event_detector_benchmark(): Summarise an event-detector benchmark
plot_gazepoint_event_detector_benchmark(): Plot event-detector benchmark diagnostics

Example and simulated data

Synthetic data objects and simulation helpers for examples, vignettes, tests, and teaching.

gazepoint_example_master: Example Gazepoint master table
gazepoint_example_fixations: Example Gazepoint fixation table
gazepoint_example_aoi_geometry: Example AOI geometry table
gazepoint_example_aoi_windows: Example AOI-window summary table
gazepoint_example_pupil_windows: Example pupil-window summary table
simulate_gazepoint_data(): Simulate simple Gazepoint-style gaze data
simulate_gazepoint_pupil_data(): Simulate Gazepoint-like pupil data
simulate_gazepoint_cluster_timecourse_data(): Simulate simple Gazepoint cluster time-course data