{ "_id": "6ac95dc1de46216d5edda9b8", "Package": "gpbiometrics", "Type": "Package", "Title": "Process and Report Gazepoint Biometrics Data", "Version": "2.1.0", "Authors@R": "person(given = \"Stefanos\", family = \"Balaskas\", email = \"s.balaskas@ac.upatras.gr\", role = c(\"aut\", \"cre\"))", "Description": "Gazepoint-native tools for reproducible analysis and\nreporting of Gazepoint Biometrics and GP3-derived\nphysiological, gaze, pupil, fixation, AOI, marker, and\nevent-level exports. The package supports import, validation,\npreprocessing, missing-value imputation, EDA/GSR, SCR epoching,\nIBI/RR/HRV, PPG/pulse workflows, pupil blink detection and\ncleaning, gaze filtering, fixation summaries, engagement-dial\nindices, multimodal trial regressors, quality reports,\nexclusion and QC recommendations, synthetic eye-data\ngeneration, and interoperability or workflow-inspired helpers\nfor common psychophysiology toolchains. The package is designed\nfor transparent, CRAN-safe, scriptable analysis rather than as\na full clone of external commercial or open-source toolboxes.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.1.0", "VignetteBuilder": "knitr", "URL": "https://github.com/stefanosbalaskas/gpbiometrics,\nhttps://stefanosbalaskas.github.io/gpbiometrics/", "BugReports": "https://github.com/stefanosbalaskas/gpbiometrics/issues", "Repository": "https://stefanosbalaskas.r-universe.dev", "Date/Publication": "2026-10-09 20:31:54 UTC", "RemoteUrl": "https://github.com/stefanosbalaskas/gpbiometrics", "RemoteRef": "HEAD", "RemoteSha": "7794ebd02e73f9cc167061f6ff9722c7127dcc40", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-09 21:26:09 UTC", "User": "root" }, "Author": "Stefanos Balaskas [aut, cre]", "Maintainer": "Stefanos Balaskas ", "_user": "stefanosbalaskas", "_type": 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"detect_gazepoint_time_columns", "detrend_gazepoint_rri_window", "detrend_gazepoint_signal", "diagnose_gazepoint_biometrics_workflow", "diagnose_gazepoint_cluster_design", "diagnose_gazepoint_sync_drift", "downsample_gazepoint_data", "enhance_gazepoint_ppg_peaks", "epoch_gazepoint_scr", "estimate_gazepoint_breathing_rate_from_ibi", "estimate_gazepoint_cluster_offset", "estimate_gazepoint_cluster_onset", "estimate_gazepoint_eda_recovery_times", "estimate_gazepoint_lsl_clock_offsets", "estimate_gazepoint_respiration_from_ppg", "estimate_gazepoint_samplerate_datetime", "estimate_gazepoint_samplerate_mstimer", "estimate_gazepoint_signal_lag", "export_gazepoint_audit_trail_markdown", "export_gazepoint_biometrics_report_bundle", "export_gazepoint_cluster_results", "export_gazepoint_heartpy_input", "export_gazepoint_mne_cluster_input", "export_gazepoint_permuco_cluster_input", "export_gazepoint_permutes_cluster_input", "export_gazepoint_pipeline_dot", "export_gazepoint_pspm_model_estimates", 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"smooth_gazepoint_pupil", "split_gazepoint_sessions_pspm_style", "standardise_gazepoint_adaptive_ema", "standardise_gazepoint_biometric_names", "standardise_gazepoint_biometrics_within_unit", "standardise_gazepoint_plot_contract", "standardise_gazepoint_range_correction", "standardise_gazepoint_zscore", "standardize_gazepoint_adaptive_ema", "standardize_gazepoint_biometrics_within_unit", "standardize_gazepoint_column_names", "standardize_gazepoint_columns", "standardize_gazepoint_plot_contracts", "standardize_gazepoint_range_correction", "standardize_gazepoint_zscore", "summarise_gazepoint_aoi_biometrics", "summarise_gazepoint_biometric_validity", "summarise_gazepoint_biometrics_feature_inventory", "summarise_gazepoint_biometrics_workflow", "summarise_gazepoint_decision_log", "summarise_gazepoint_dial_windows", "summarise_gazepoint_engagement_windows", "summarise_gazepoint_fixations_by_aoi", "summarise_gazepoint_full_biometric_windows", "summarise_gazepoint_gsr_tonic_phasic", "summarise_gazepoint_gsr_windows", "summarise_gazepoint_hr_windows", "summarise_gazepoint_hrv_features", "summarise_gazepoint_ibi_hrv_windows", "summarise_gazepoint_ibi_windows", "summarise_gazepoint_multimodal_windows", "summarise_gazepoint_scr_event_windows", "summarize_gazepoint_aoi_dwell", "summarize_gazepoint_audit_trail", "summarize_gazepoint_beat_corrections", "summarize_gazepoint_eventlocked_multimodal", "summarize_gazepoint_export_inventory", "summarize_gazepoint_feature_coverage", "summarize_gazepoint_fixations", "summarize_gazepoint_fixations_by_aoi", "summarize_gazepoint_missingness", "summarize_gazepoint_nonwear", "summarize_gazepoint_preregistration_readiness", "summarize_gazepoint_pupil_events", "summarize_gazepoint_qc_overview", "summarize_gazepoint_scanpath_metrics", "summarize_gazepoint_scr_recovery", "summarize_gazepoint_signal_quality", "summarize_gazepoint_time_clusters", "summarize_gazepoint_tracking", "sync_gazepoint_biometrics_with_gaze", "sync_gazepoint_signals_via_lsl", "test_gazepoint_hrv_nonlinearity", "trim_gazepoint_biometrics_pspm_style", "upsample_gazepoint_data", "validate_gazepoint_biometrics", "validate_gazepoint_format", "validate_gazepoint_gaze", "validate_gazepoint_metadata", "write_gazepoint_biometrics_report_tables", "write_gazepoint_decision_log", "write_gazepoint_export_profile", "write_gazepoint_interoperability_audit", "write_gazepoint_mne_fif", "write_gazepoint_real_data_smoke" ], "_help": [ { "page": "add_gazepoint_decision", "title": "Add a decision to a Gazepoint analysis decision log", "topics": [ "add_gazepoint_decision" ] }, { "page": "align_gazepoint_biometrics_to_ttl", "title": "Align Gazepoint biometric samples to TTL events", "topics": [ "align_gazepoint_biometrics_to_ttl" ] }, { "page": "align_gazepoint_streams_by_events", "title": "Align two Gazepoint streams using matched event markers", "topics": [ "align_gazepoint_streams_by_events" ] }, { "page": "align_gazepoint_to_eeg", "title": "Align Gazepoint timestamps to an EEG clock", "topics": [ "align_gazepoint_to_eeg" ] }, { "page": "analyze_gazepoint_ac_susceptance", "title": "Analyse AC EDA admittance and susceptance recordings", "topics": [ "analyze_gazepoint_ac_susceptance" ] }, { "page": "analyze_gazepoint_cardiorespiratory_causality", "title": "Analyse cardiorespiratory Granger-style directionality", "topics": [ "analyze_gazepoint_cardiorespiratory_causality" ] }, { "page": "analyze_gazepoint_skin_potential", "title": "Analyse endosomatic skin-potential recordings", "topics": [ "analyze_gazepoint_skin_potential" ] }, { "page": "anonymize_gazepoint_data", "title": "Pseudonymize participant or record identifiers", "topics": [ "anonymize_gazepoint_data" ] }, { "page": "assert_gazepoint_columns", "title": "Assert that required Gazepoint columns are present", "topics": [ "assert_gazepoint_columns" ] }, { "page": "assess_gazepoint_hrp_waveform_quality", "title": "Assess Gazepoint HRP waveform quality", "topics": [ "assess_gazepoint_hrp_waveform_quality" ] }, { "page": "assess_gazepoint_sampling_irregularity", "title": "Assess sampling irregularity in Gazepoint time series", "topics": [ "assess_gazepoint_sampling_irregularity" ] }, { "page": "assign_gazepoint_aoi", "title": "Assign Gazepoint coordinates to areas of interest", "topics": [ "assign_gazepoint_aoi" ] }, { "page": "audit_gazepoint_beats", "title": "Audit beat or IBI sequences", "topics": [ "audit_gazepoint_beats" ] }, { "page": "audit_gazepoint_biometric_missingness", "title": "Audit missingness in Gazepoint biometric channels", "topics": [ "audit_gazepoint_biometric_missingness" ] }, { "page": "audit_gazepoint_biometric_sampling", "title": "Audit Gazepoint biometric sampling and timing", "topics": [ "audit_gazepoint_biometric_sampling" ] }, { "page": "audit_gazepoint_biometric_sync_drift", "title": "Audit Gazepoint biometric synchronization drift", "topics": [ "audit_gazepoint_biometric_sync_drift" ] }, { "page": "audit_gazepoint_biometrics_file", "title": "Audit a Gazepoint biometrics file before analysis", "topics": [ "audit_gazepoint_biometrics_file", "print.gazepoint_biometrics_audit", "summary.gazepoint_biometrics_audit" ] }, { "page": "audit_gazepoint_condition_balance", "title": "Audit Gazepoint condition balance", "topics": [ "audit_gazepoint_condition_balance" ] }, { "page": "audit_gazepoint_dataset_structure", "title": "Audit Gazepoint dataset structure", "topics": [ "audit_gazepoint_dataset_structure" ] }, { "page": "audit_gazepoint_distributional_drift", "title": "Audit distributional drift across sessions or ordered blocks", "topics": [ "audit_gazepoint_distributional_drift" ] }, { "page": "audit_gazepoint_eda_artifacts", "title": "Audit Gazepoint EDA/GSR artifacts", "topics": [ "audit_gazepoint_eda_artifacts" ] }, { "page": "audit_gazepoint_engagement_dial", "title": "Audit Gazepoint engagement-dial signal quality", "topics": [ "audit_gazepoint_engagement_dial" ] }, { "page": "audit_gazepoint_event_coverage", "title": "Audit Gazepoint event coverage", "topics": [ "audit_gazepoint_event_coverage" ] }, { "page": "audit_gazepoint_experiment_design", "title": "Audit Gazepoint experiment design structure", "topics": [ "audit_gazepoint_experiment_design" ] }, { "page": "audit_gazepoint_export_schema", "title": "Audit a Gazepoint export schema", "topics": [ "audit_gazepoint_export_schema" ] }, { "page": "audit_gazepoint_gsr_quality", "title": "Audit Gazepoint GSR/EDA signal quality", "topics": [ "audit_gazepoint_gsr_quality" ] }, { "page": "audit_gazepoint_gsr_units", "title": "Audit likely GSR/EDA units", "topics": [ "audit_gazepoint_gsr_units" ] }, { "page": "audit_gazepoint_hr_quality", "title": "Audit Gazepoint heart-rate signal quality", "topics": [ "audit_gazepoint_hr_quality" ] }, { "page": "audit_gazepoint_ibi_quality", "title": "Audit IBI/RR interval quality", "topics": [ "audit_gazepoint_ibi_quality" ] }, { "page": "audit_gazepoint_interoperability_versions", "title": "Audit external interoperability versions", "topics": [ "audit_gazepoint_interoperability_versions" ] }, { "page": "audit_gazepoint_pipeline_steps", "title": "Audit Gazepoint pipeline steps", "topics": [ "audit_gazepoint_pipeline_steps" ] }, { "page": "audit_gazepoint_preregistration_consistency", "title": "Audit preregistration checklist consistency", "topics": [ "audit_gazepoint_preregistration_consistency" ] }, { "page": "audit_gazepoint_pupil_luminance", "title": "Audit pupil-luminance confounding", "topics": [ "audit_gazepoint_pupil_luminance" ] }, { "page": "audit_gazepoint_release_readiness", "title": "Audit gpbiometrics release readiness", "topics": [ "audit_gazepoint_release_readiness" ] }, { "page": "audit_gazepoint_session_comparability", "title": "Audit session comparability across QC metrics", "topics": [ "audit_gazepoint_session_comparability" ] }, { "page": "audit_gazepoint_signal_activity", "title": "Audit Gazepoint biometric signal activity", "topics": [ "audit_gazepoint_signal_activity" ] }, { "page": "audit_gazepoint_smoke_privacy", "title": "Audit a smoke-test result for private information", "topics": [ "audit_gazepoint_smoke_privacy" ] }, { "page": "audit_gazepoint_stabilization_period", "title": "Audit or trim the EDA electrode stabilization period", "topics": [ "audit_gazepoint_stabilization_period" ] }, { "page": "audit_gazepoint_time_resets", "title": "Audit Gazepoint biometric time resets", "topics": [ "audit_gazepoint_time_resets" ] }, { "page": "audit_gazepoint_timecourse_grid", "title": "Audit the participant-condition-time grid for cluster-permutation analysis", "topics": [ "audit_gazepoint_timecourse_grid" ] }, { "page": "baseline_correct_gazepoint_gsr", "title": "Baseline-correct Gazepoint GSR/EDA", "topics": [ "baseline_correct_gazepoint_gsr" ] }, { "page": "baseline_correct_gazepoint_hr", "title": "Baseline-correct Gazepoint heart rate", "topics": [ "baseline_correct_gazepoint_hr" ] }, { "page": "baseline_correct_gazepoint_pupil", "title": "Baseline-correct Gazepoint pupil size", "topics": [ "baseline_correct_gazepoint_pupil" ] }, { "page": "build_gazepoint_aoi_timecourse", "title": "Build a tidy AOI time course", "topics": [ "build_gazepoint_aoi_timecourse" ] }, { "page": "calculate_gazepoint_rsa", "title": "Calculate respiration-informed RSA proxy features", "topics": [ "calculate_gazepoint_rsa" ] }, { "page": "check_gazepoint_bids", "title": "Check a Gazepoint dataset for a BIDS-like layout", "topics": [ "check_gazepoint_bids" ] }, { "page": "check_gazepoint_biometric_columns", "title": "Check Gazepoint biometric columns", "topics": [ "check_gazepoint_biometric_columns" ] }, { "page": "check_gazepoint_plot_contract", "title": "Check a Gazepoint plot return contract", "topics": [ "check_gazepoint_plot_contract" ] }, { "page": "check_gazepoint_ppg_binary_quality", "title": "Check binary quality of Gazepoint pulse/PPG analysis results", "topics": [ "check_gazepoint_ppg_binary_quality" ] }, { "page": "check_gazepoint_pyhrv_interval", "title": "Check whether NN intervals are inside a plausible interval", "topics": [ "check_gazepoint_pyhrv_interval" ] }, { "page": "chunk_gazepoint_biometrics", "title": "Chunk Gazepoint biometric data into fixed analysis episodes", "topics": [ "chunk_gazepoint_biometrics" ] }, { "page": "classify_gazepoint_eda_response_pattern", "title": "Classify descriptive Gazepoint EDA response patterns", "topics": [ "classify_gazepoint_eda_response_pattern" ] }, { "page": "classify_gazepoint_scr_intervals", "title": "Classify SCRs into FIR, SIR, and TIR latency intervals", "topics": [ "classify_gazepoint_scr_intervals" ] }, { "page": "classify_gazepoint_signal_quality", "title": "Classify signal-quality rows using transparent threshold rules", "topics": [ "classify_gazepoint_signal_quality" ] }, { "page": "clean_gazepoint_pupil", "title": "Clean Gazepoint pupil data", "topics": [ "clean_gazepoint_pupil" ] }, { "page": "clean_gazepoint_pupil_signal", "title": "Clean Gazepoint pupil signal", "topics": [ "clean_gazepoint_pupil_signal" ] }, { "page": "clean_gazepoint_rr_intervals", "title": "Clean RR or IBI intervals using HeartPy-style methods", "topics": [ "clean_gazepoint_rr_intervals" ] }, { "page": "combine_gazepoint_marker_channels_pspm_style", "title": "Combine multiple Gazepoint marker channels PsPM-style", "topics": [ "combine_gazepoint_marker_channels_pspm_style" ] }, { "page": "compare_gazepoint_conditions_bootstrap", "title": "Bootstrap condition comparisons for Gazepoint-derived outcomes", "topics": [ "compare_gazepoint_conditions_bootstrap" ] }, { "page": "compare_gazepoint_export_profiles", "title": "Compare Gazepoint export-folder profiles", "topics": [ "compare_gazepoint_export_profiles" ] }, { "page": "compare_gazepoint_hr_ibi_consistency", "title": "Compare Gazepoint HR and IBI-derived heart rate", "topics": [ "compare_gazepoint_hr_ibi_consistency" ] }, { "page": "compare_gazepoint_pyhrv_psd_methods", "title": "Compare pyHRV-style PSD methods", "topics": [ "compare_gazepoint_pyhrv_psd_methods" ] }, { "page": "compare_hrv_prv_devices", "title": "Compare ECG-HRV and PPG-PRV devices for one derived metric", "topics": [ "compare_hrv_prv_devices" ] }, { "page": "compute_gazepoint_engagement_index", "title": "Compute engagement-dial summary indices", "topics": [ "compute_gazepoint_engagement_index" ] }, { "page": "compute_gazepoint_hrv_wavelet_psd", "title": "Compute a simple Haar-style HRV wavelet PSD summary", "topics": [ "compute_gazepoint_hrv_wavelet_psd" ] }, { "page": "compute_gazepoint_ppg_frequency_measures", "title": "Compute Gazepoint pulse/PPG frequency-domain measures", "topics": [ "compute_gazepoint_ppg_frequency_measures" ] }, { "page": "compute_gazepoint_ppg_measures", "title": "Compute HeartPy-style pulse/PPG measures", "topics": [ "compute_gazepoint_ppg_measures" ] }, { "page": "compute_gazepoint_ppg_template_similarity", "title": "Compute PPG beat-template similarity", "topics": [ "compute_gazepoint_ppg_template_similarity" ] }, { "page": "compute_gazepoint_pyhrv_ar_psd", "title": "Compute pyHRV-style autoregressive PSD", "topics": [ "compute_gazepoint_pyhrv_ar_psd" ] }, { "page": "compute_gazepoint_pyhrv_dfa", "title": "Compute detrended fluctuation analysis", "topics": [ "compute_gazepoint_pyhrv_dfa" ] }, { "page": "compute_gazepoint_pyhrv_frequency_domain", "title": "Compute pyHRV-style frequency-domain summary", "topics": [ "compute_gazepoint_pyhrv_frequency_domain" ] }, { "page": "compute_gazepoint_pyhrv_heart_rate", "title": "Compute heart rate from NN intervals", "topics": [ "compute_gazepoint_pyhrv_heart_rate" ] }, { "page": "compute_gazepoint_pyhrv_hr_parameters", "title": "Compute pyHRV-style heart-rate parameters", "topics": [ "compute_gazepoint_pyhrv_hr_parameters" ] }, { "page": "compute_gazepoint_pyhrv_lomb_psd", "title": "Compute pyHRV-style Lomb PSD", "topics": [ "compute_gazepoint_pyhrv_lomb_psd" ] }, { "page": "compute_gazepoint_pyhrv_nn_diff", "title": "Compute NN interval differences", "topics": [ "compute_gazepoint_pyhrv_nn_diff" ] }, { "page": "compute_gazepoint_pyhrv_nn20", "title": "Compute NN20 and pNN20", "topics": [ "compute_gazepoint_pyhrv_nn20" ] }, { "page": "compute_gazepoint_pyhrv_nn50", "title": "Compute NN50 and pNN50", "topics": [ "compute_gazepoint_pyhrv_nn50" ] }, { "page": "compute_gazepoint_pyhrv_nni_differences_parameters", "title": "Compute pyHRV-style NNI difference parameters", "topics": [ "compute_gazepoint_pyhrv_nni_differences_parameters" ] }, { "page": "compute_gazepoint_pyhrv_nni_parameters", "title": "Compute pyHRV-style NNI parameters", "topics": [ "compute_gazepoint_pyhrv_nni_parameters" ] }, { "page": "compute_gazepoint_pyhrv_nnxx", "title": "Compute NNxx and pNNxx", "topics": [ "compute_gazepoint_pyhrv_nnxx" ] }, { "page": "compute_gazepoint_pyhrv_nonlinear", "title": "Compute pyHRV-style nonlinear summary", "topics": [ "compute_gazepoint_pyhrv_nonlinear" ] }, { "page": "compute_gazepoint_pyhrv_poincare", "title": "Compute pyHRV-style Poincare measures", "topics": [ "compute_gazepoint_pyhrv_poincare" ] }, { "page": "compute_gazepoint_pyhrv_psd_waterfall", "title": "Compute pyHRV-style PSD waterfall over segments", "topics": [ "compute_gazepoint_pyhrv_psd_waterfall" ] }, { "page": "compute_gazepoint_pyhrv_rmssd", "title": "Compute RMSSD", "topics": [ "compute_gazepoint_pyhrv_rmssd" ] }, { "page": "compute_gazepoint_pyhrv_sample_entropy", "title": "Compute sample entropy", "topics": [ "compute_gazepoint_pyhrv_sample_entropy" ] }, { "page": "compute_gazepoint_pyhrv_sdann", "title": "Compute SDANN", "topics": [ "compute_gazepoint_pyhrv_sdann" ] }, { "page": "compute_gazepoint_pyhrv_sdnn", "title": "Compute SDNN", "topics": [ "compute_gazepoint_pyhrv_sdnn" ] }, { "page": "compute_gazepoint_pyhrv_sdnn_index", "title": "Compute SDNN index", "topics": [ "compute_gazepoint_pyhrv_sdnn_index" ] }, { "page": "compute_gazepoint_pyhrv_sdsd", "title": "Compute SDSD", "topics": [ "compute_gazepoint_pyhrv_sdsd" ] }, { "page": "compute_gazepoint_pyhrv_time_domain", "title": "Compute pyHRV-style time-domain summary", "topics": [ "compute_gazepoint_pyhrv_time_domain" ] }, { "page": "compute_gazepoint_pyhrv_tinn", "title": "Compute TINN", "topics": [ "compute_gazepoint_pyhrv_tinn" ] }, { "page": "compute_gazepoint_pyhrv_triangular_index", "title": "Compute triangular index", "topics": [ "compute_gazepoint_pyhrv_triangular_index" ] }, { "page": "compute_gazepoint_pyhrv_welch_psd", "title": "Compute pyHRV-style Welch PSD", "topics": [ "compute_gazepoint_pyhrv_welch_psd" ] }, { "page": "compute_gazepoint_quality_index", "title": "Compute a heuristic QC quality index", "topics": [ "compute_gazepoint_quality_index" ] }, { "page": "compute_gazepoint_scr_habituation", "title": "Compute SCR habituation across trials", "topics": [ "compute_gazepoint_scr_habituation" ] }, { "page": "compute_gazepoint_scr_latency", "title": "Compute SCR latency metrics from event-locked EDA", "topics": [ "compute_gazepoint_scr_latency" ] }, { "page": "compute_gazepoint_signal_band_power", "title": "Compute signal band power", "topics": [ "compute_gazepoint_signal_band_power" ] }, { "page": "compute_gazepoint_signal_correlation", "title": "Compute correlation between two Gazepoint signals", "topics": [ "compute_gazepoint_signal_correlation" ] }, { "page": "compute_gazepoint_signal_lag_matrix", "title": "Compute a pairwise signal-lag matrix", "topics": [ "compute_gazepoint_signal_lag_matrix" ] }, { "page": "compute_gazepoint_signal_phase_locking", "title": "Compute phase-locking value between two signals", "topics": [ "compute_gazepoint_signal_phase_locking" ] }, { "page": "compute_gazepoint_signal_power_spectrum", "title": "Compute signal power spectrum", "topics": [ "compute_gazepoint_signal_power_spectrum" ] }, { "page": "compute_gazepoint_signal_quality", "title": "Compute transparent signal-quality indicators", "topics": [ "compute_gazepoint_signal_quality" ] }, { "page": "convert_gazepoint_gsr_to_conductance", "title": "Convert Gazepoint GSR resistance to conductance", "topics": [ "convert_gazepoint_gsr_to_conductance" ] }, { "page": "correct_gazepoint_beats", "title": "Apply conservative rule-based IBI corrections", "topics": [ "correct_gazepoint_beats" ] }, { "page": "correct_gazepoint_eda_temperature", "title": "Correct EDA for ambient or body temperature", "topics": [ "correct_gazepoint_eda_temperature" ] }, { "page": "correct_gazepoint_ppg_hampel", "title": "Apply Hampel-style correction to raw pulse/PPG data", "topics": [ "correct_gazepoint_ppg_hampel" ] }, { "page": "correct_gazepoint_rri_artifacts_local", "title": "Correct local RRI/IBI artifacts", "topics": [ "correct_gazepoint_rri_artifacts_local" ] }, { "page": "create_gazepoint_analysis_decision_log", "title": "Create a Gazepoint analysis decision log", "topics": [ "create_gazepoint_analysis_decision_log" ] }, { "page": "create_gazepoint_analysis_manifest", "title": "Create a Gazepoint analysis manifest", "topics": [ "create_gazepoint_analysis_manifest" ] }, { "page": "create_gazepoint_audit_index", "title": "Create a Gazepoint audit index", "topics": [ "create_gazepoint_audit_index" ] }, { "page": "create_gazepoint_audit_report_section", "title": "Create a Gazepoint audit-report section", "topics": [ "create_gazepoint_audit_report_section" ] }, { "page": "create_gazepoint_biometrics_checklist", "title": "Create a Gazepoint Biometrics reporting checklist", "topics": [ "create_gazepoint_biometrics_checklist" ] }, { "page": "create_gazepoint_biometrics_feature_inventory", "title": "Create a gpbiometrics feature inventory", "topics": [ "create_gazepoint_biometrics_feature_inventory" ] }, { "page": "create_gazepoint_biometrics_methods_text", "title": "Create Gazepoint Biometrics methods text", "topics": [ "create_gazepoint_biometrics_methods_text" ] }, { "page": "create_gazepoint_biometrics_report", "title": "Create a Gazepoint Biometrics report", "topics": [ "create_gazepoint_biometrics_report" ] }, { "page": "create_gazepoint_biometrics_report_tables", "title": "Create Gazepoint Biometrics report tables", "topics": [ "create_gazepoint_biometrics_report_tables" ] }, { "page": "create_gazepoint_dictionary", "title": "Create a simple Gazepoint data dictionary", "topics": [ "create_gazepoint_dictionary" ] }, { "page": "create_gazepoint_eda_analysis_pipeline", "title": "Create a Gazepoint EDA analysis pipeline guide", "topics": [ "create_gazepoint_eda_analysis_pipeline" ] }, { "page": "create_gazepoint_eye_methods_text", "title": "Create reproducible Gazepoint eye-tracking methods text", "topics": [ "create_gazepoint_eye_methods_text" ] }, { "page": "create_gazepoint_heartpy_report", "title": "Create HeartPy-style report tables for Gazepoint pulse/PPG data", "topics": [ "create_gazepoint_heartpy_report" ] }, { "page": "create_gazepoint_methods_section", "title": "Create a compact Gazepoint methods section", "topics": [ "create_gazepoint_methods_section" ] }, { "page": "create_gazepoint_pipeline_map", "title": "Create a Gazepoint pipeline map", "topics": [ "create_gazepoint_pipeline_map" ] }, { "page": "create_gazepoint_preregistration_checklist", "title": "Create a Gazepoint preregistration checklist", "topics": [ "create_gazepoint_preregistration_checklist" ] }, { "page": "create_gazepoint_preregistration_template", "title": "Create a Gazepoint biometrics preregistration template", "topics": [ "create_gazepoint_preregistration_template" ] }, { "page": "create_gazepoint_pspm_glm_design", "title": "Create PsPM-style convolution GLM design matrix", "topics": [ "create_gazepoint_pspm_glm_design" ] }, { "page": "create_gazepoint_pyhrv_time_vector", "title": "Create a time vector from NN intervals", "topics": [ "create_gazepoint_pyhrv_time_vector" ] }, { "page": "create_gazepoint_qc_supplement", "title": "Create a Gazepoint quality-control supplement section", "topics": [ "create_gazepoint_qc_supplement" ] }, { "page": "create_gazepoint_quality_dashboard", "title": "Create a compact Gazepoint quality dashboard object", "topics": [ "create_gazepoint_quality_dashboard" ] }, { "page": "create_gazepoint_release_checklist", "title": "Create a gpbiometrics release checklist", "topics": [ "create_gazepoint_release_checklist" ] }, { "page": "create_gazepoint_reproducibility_statement", "title": "Create a Gazepoint reproducibility statement", "topics": [ "create_gazepoint_reproducibility_statement" ] }, { "page": "create_gazepoint_sidecar_template", "title": "Create a Gazepoint sidecar metadata template", "topics": [ "create_gazepoint_sidecar_template" ] }, { "page": "create_gazepoint_trial_regressors", "title": "Create Gazepoint trial-level regressors for modeling", "topics": [ "create_gazepoint_trial_regressors" ] }, { "page": "decompose_gazepoint_eda", "title": "Decompose Gazepoint GSR/EDA into tonic and phasic components", "topics": [ "decompose_gazepoint_eda" ] }, { "page": "denoise_gazepoint_eda_autoencoder", "title": "Denoise EDA using a user-supplied autoencoder reconstruction model", "topics": [ "denoise_gazepoint_eda_autoencoder" ] }, { "page": "denoise_gazepoint_eda_wavelet", "title": "Denoise EDA using dependency-light Haar wavelet shrinkage", "topics": [ "denoise_gazepoint_eda_wavelet" ] }, { "page": "denoise_gazepoint_ppg_autoencoder", "title": "Denoise PPG using a user-supplied autoencoder reconstruction model", "topics": [ "denoise_gazepoint_ppg_autoencoder" ] }, { "page": "denoise_gazepoint_quantization_noise", "title": "Add small uniform noise to reduce quantization overlap", "topics": [ "denoise_gazepoint_quantization_noise" ] }, { "page": "detect_active_biometric_channels", "title": "Detect active Gazepoint biometric channels", "topics": [ "detect_active_biometric_channels" ] }, { "page": "detect_gazepoint_biometric_schema", "title": "Detect the schema of Gazepoint biometric data", "topics": [ "detect_gazepoint_biometric_schema" ] }, { "page": "detect_gazepoint_biometric_timebase", "title": "Detect the likely timebase of Gazepoint biometric data", "topics": [ "detect_gazepoint_biometric_timebase" ] }, { "page": "detect_gazepoint_blinks", "title": "Detect likely blink or pupil-dropout samples", "topics": [ "detect_gazepoint_blinks" ] }, { "page": "detect_gazepoint_doubly_stochastic_changepoints", "title": "Detect stochastic change points in noisy biometric signals", "topics": [ "detect_gazepoint_doubly_stochastic_changepoints" ] }, { "page": "detect_gazepoint_fixations", "title": "Detect fixations and saccades in Gazepoint gaze samples", "topics": [ "detect_gazepoint_fixations" ] }, { "page": "detect_gazepoint_nonwear", "title": "Detect long signal-dropout intervals", "topics": [ "detect_gazepoint_nonwear" ] }, { "page": "detect_gazepoint_ppg_onsets", "title": "Detect BioSPPy-style PPG pulse onsets", "topics": [ "detect_gazepoint_ppg_onsets" ] }, { "page": "detect_gazepoint_ppg_peaks", "title": "Detect HeartPy-style pulse/PPG peaks in Gazepoint exports", "topics": [ "detect_gazepoint_ppg_peaks" ] }, { "page": "detect_gazepoint_pupil_blinks", "title": "Detect blink intervals from Gazepoint pupil data", "topics": [ "detect_gazepoint_pupil_blinks" ] }, { "page": "detect_gazepoint_saccades", "title": "Detect saccades in Gazepoint gaze samples", "topics": [ "detect_gazepoint_saccades" ] }, { "page": "detect_gazepoint_scr_events", "title": "Detect SCR-like events in Gazepoint GSR/EDA data", "topics": [ "detect_gazepoint_scr_events" ] }, { "page": "detect_gazepoint_scr_peaks", "title": "Detect Gazepoint SCR peaks", "topics": [ "detect_gazepoint_scr_peaks" ] }, { "page": "detect_gazepoint_time_columns", "title": "Detect Gazepoint biometric time columns", "topics": [ "detect_gazepoint_time_columns" ] }, { "page": "detrend_gazepoint_rri_window", "title": "Detrend RRI/IBI intervals in windows", "topics": [ "detrend_gazepoint_rri_window" ] }, { "page": "detrend_gazepoint_signal", "title": "Detrend a Gazepoint signal", "topics": [ "detrend_gazepoint_signal" ] }, { "page": "diagnose_gazepoint_biometrics_workflow", "title": "Diagnose a Gazepoint Biometrics workflow", "topics": [ "diagnose_gazepoint_biometrics_workflow" ] }, { "page": "diagnose_gazepoint_cluster_design", "title": "Diagnose whether a design is suitable for cluster-permutation analysis", "topics": [ "diagnose_gazepoint_cluster_design" ] }, { "page": "diagnose_gazepoint_sync_drift", "title": "Diagnose synchronization drift between two time bases", "topics": [ "diagnose_gazepoint_sync_drift" ] }, { "page": "downsample_gazepoint_data", "title": "Downsample Gazepoint time-series data", "topics": [ "downsample_gazepoint_data" ] }, { "page": "enhance_gazepoint_ppg_peaks", "title": "Enhance pulse/PPG peaks using repeated local baseline removal", "topics": [ "enhance_gazepoint_ppg_peaks" ] }, { "page": "epoch_gazepoint_scr", "title": "Epoch Gazepoint SCR/EDA data around events", "topics": [ "epoch_gazepoint_scr" ] }, { "page": "estimate_gazepoint_breathing_rate_from_ibi", "title": "Estimate breathing rate from RR/IBI frequency content", "topics": [ "estimate_gazepoint_breathing_rate_from_ibi" ] }, { "page": "estimate_gazepoint_cluster_offset", "title": "Guardrail against exact cluster-offset estimation", "topics": [ "estimate_gazepoint_cluster_offset" ] }, { "page": "estimate_gazepoint_cluster_onset", "title": "Guardrail against exact cluster-onset estimation", "topics": [ "estimate_gazepoint_cluster_onset" ] }, { "page": "estimate_gazepoint_eda_recovery_times", "title": "Estimate BioSPPy-style EDA recovery times", "topics": [ "estimate_gazepoint_eda_recovery_times" ] }, { "page": "estimate_gazepoint_lsl_clock_offsets", "title": "Estimate live LSL clock offsets through pylsl", "topics": [ "estimate_gazepoint_lsl_clock_offsets" ] }, { "page": "estimate_gazepoint_respiration_from_ppg", "title": "Estimate respiration rate from PPG", "topics": [ "estimate_gazepoint_respiration_from_ppg" ] }, { "page": "estimate_gazepoint_samplerate_datetime", "title": "Estimate sampling rate from datetime stamps", "topics": [ "estimate_gazepoint_samplerate_datetime" ] }, { "page": "estimate_gazepoint_samplerate_mstimer", "title": "Estimate sampling rate from a millisecond timer", "topics": [ "estimate_gazepoint_samplerate_mstimer" ] }, { "page": "estimate_gazepoint_signal_lag", "title": "Estimate lag between two Gazepoint biometric signals", "topics": [ "estimate_gazepoint_signal_lag" ] }, { "page": "export_gazepoint_audit_trail_markdown", "title": "Export a Gazepoint audit trail as Markdown", "topics": [ "export_gazepoint_audit_trail_markdown" ] }, { "page": "export_gazepoint_biometrics_report_bundle", "title": "Export a Gazepoint biometrics report bundle", "topics": [ "export_gazepoint_biometrics_report_bundle" ] }, { "page": "export_gazepoint_cluster_results", "title": "Export cluster-permutation result components", "topics": [ "export_gazepoint_cluster_results" ] }, { "page": "export_gazepoint_heartpy_input", "title": "Export Gazepoint pulse/PPG data for HeartPy-style workflows", "topics": [ "export_gazepoint_heartpy_input" ] }, { "page": "export_gazepoint_mne_cluster_input", "title": "Export time-course data for MNE cluster-permutation workflows", "topics": [ "export_gazepoint_mne_cluster_input" ] }, { "page": "export_gazepoint_permuco_cluster_input", "title": "Export time-course data for permuco cluster workflows", "topics": [ "export_gazepoint_permuco_cluster_input" ] }, { "page": "export_gazepoint_permutes_cluster_input", "title": "Export time-course data for permutes cluster workflows", "topics": [ "export_gazepoint_permutes_cluster_input" ] }, { "page": "export_gazepoint_pipeline_dot", "title": "Export a Gazepoint pipeline map as DOT text", "topics": [ "export_gazepoint_pipeline_dot" ] }, { "page": "export_gazepoint_pspm_model_estimates", "title": "Export PsPM-style Gazepoint model estimates", "topics": [ "export_gazepoint_pspm_model_estimates" ] }, { "page": "export_gazepoint_pyhrv_results", "title": "Export pyHRV-style results", "topics": [ "export_gazepoint_pyhrv_results" ] }, { "page": "export_gazepoint_rhrv_input", "title": "Export Gazepoint IBI data for RHRV-style workflows", "topics": [ "export_gazepoint_rhrv_input" ] }, { "page": "export_gazepoint_to_bids", "title": "Export Gazepoint eye-tracking data to BIDS", "topics": [ "export_gazepoint_to_bids" ] }, { "page": "extract_gazepoint_beats_kmeans", "title": "Extract heartbeat candidates from Gazepoint pulse using k-means", "topics": [ "extract_gazepoint_beats_kmeans" ] }, { "page": "extract_gazepoint_bilateral_eda_asymmetry", "title": "Extract bilateral EDA asymmetry features", "topics": [ "extract_gazepoint_bilateral_eda_asymmetry" ] }, { "page": "extract_gazepoint_eda_complexity", "title": "Extract EDA complexity features", "topics": [ "extract_gazepoint_eda_complexity" ] }, { "page": "extract_gazepoint_eda_events_biosppy_style", "title": "Extract BioSPPy-style EDA events from Gazepoint GSR/EDA data", "topics": [ "extract_gazepoint_eda_events_biosppy_style" ] }, { "page": "extract_gazepoint_eda_spectral_power", "title": "Extract frequency-domain EDA spectral power", "topics": [ "extract_gazepoint_eda_spectral_power" ] }, { "page": "extract_gazepoint_eda_tvsymp", "title": "Extract time-varying spectral EDA features", "topics": [ "extract_gazepoint_eda_tvsymp" ] }, { "page": "extract_gazepoint_edr_pca", "title": "Extract ECG-derived respiration using PCA", "topics": [ "extract_gazepoint_edr_pca" ] }, { "page": "extract_gazepoint_hrv_asymmetry", "title": "Extract heart-rate asymmetry features", "topics": [ "extract_gazepoint_hrv_asymmetry" ] }, { "page": "extract_gazepoint_hrv_features", "title": "Extract time-domain HRV features from Gazepoint IBI intervals", "topics": [ "extract_gazepoint_hrv_features" ] }, { "page": "extract_gazepoint_hrv_fragmentation", "title": "Extract heart-rate fragmentation features", "topics": [ "extract_gazepoint_hrv_fragmentation" ] }, { "page": "extract_gazepoint_hrv_fuzzy_csi", "title": "Extract FuzzyEn and Lorenz-plot CSI HRV features", "topics": [ "extract_gazepoint_hrv_fuzzy_csi" ] }, { "page": "extract_gazepoint_hrv_geometric", "title": "Extract geometric HRV features", "topics": [ "extract_gazepoint_hrv_geometric" ] }, { "page": "extract_gazepoint_hrv_nonlinear", "title": "Extract nonlinear HRV features from IBI/RR intervals", "topics": [ "extract_gazepoint_hrv_nonlinear" ] }, { "page": "extract_gazepoint_hrv_rcmse", "title": "Extract refined composite multiscale entropy from HRV intervals", "topics": [ "extract_gazepoint_hrv_rcmse" ] }, { "page": "extract_gazepoint_hrv_rqa", "title": "Extract HRV recurrence quantification analysis features", "topics": [ "extract_gazepoint_hrv_rqa" ] }, { "page": "extract_gazepoint_markerinfo_pspm_style", "title": "Extract PsPM-style marker information from Gazepoint biometrics data", "topics": [ "extract_gazepoint_markerinfo_pspm_style" ] }, { "page": "extract_gazepoint_pdr_signals", "title": "Extract PPG-derived respiration proxy signals", "topics": [ "extract_gazepoint_pdr_signals" ] }, { "page": "extract_gazepoint_ppg_morphology", "title": "Extract simple PPG pulse morphology metrics", "topics": [ "extract_gazepoint_ppg_morphology" ] }, { "page": "extract_gazepoint_ppg_templates", "title": "Extract BioSPPy-style PPG pulse templates", "topics": [ "extract_gazepoint_ppg_templates" ] }, { "page": "extract_gazepoint_pyhrv_nn_intervals", "title": "Extract NN intervals from peak timestamps", "topics": [ "extract_gazepoint_pyhrv_nn_intervals" ] }, { "page": "extract_gazepoint_respiration_ceemdan", "title": "Extract respiration proxy using a CEEMDAN-style bridge", "topics": [ "extract_gazepoint_respiration_ceemdan" ] }, { "page": "extract_gazepoint_scr_recovery_times", "title": "Extract SCR recovery times", "topics": [ "extract_gazepoint_scr_recovery_times" ] }, { "page": "extract_gazepoint_segments_pspm_style", "title": "Extract event-centred Gazepoint segments PsPM-style", "topics": [ "extract_gazepoint_segments_pspm_style" ] }, { "page": "extract_gazepoint_ttl_events", "title": "Extract Gazepoint TTL marker events", "topics": [ "extract_gazepoint_ttl_events" ] }, { "page": "filter_gazepoint_gaze", "title": "Filter implausible Gazepoint gaze samples", "topics": [ "filter_gazepoint_gaze" ] }, { "page": "filter_gazepoint_ibi_implausible", "title": "Filter implausible Gazepoint IBI values", "topics": [ "filter_gazepoint_ibi_implausible" ] }, { "page": "filter_gazepoint_ppg_butterworth", "title": "Apply a second-order Butterworth-style low-pass filter to pulse/PPG data", "topics": [ "filter_gazepoint_ppg_butterworth" ] }, { "page": "filter_gazepoint_ppg_signal", "title": "Apply generic filtering to Gazepoint pulse/PPG data", "topics": [ "filter_gazepoint_ppg_signal" ] }, { "page": "filter_gazepoint_signal", "title": "Apply lightweight preprocessing to signal columns", "topics": [ "filter_gazepoint_signal" ] }, { "page": "fit_gazepoint_convolution_glm", "title": "Fit PsPM-style event-related convolution GLM", "topics": [ "fit_gazepoint_convolution_glm" ] }, { "page": "flag_gazepoint_artifacts_svm", "title": "Flag EDA artifacts with a user-supplied SVM-style model", "topics": [ "flag_gazepoint_artifacts_svm" ] }, { "page": "flag_gazepoint_biometric_dropouts", "title": "Flag biometric dropouts and flatline periods", "topics": [ "flag_gazepoint_biometric_dropouts" ] }, { "page": "flag_gazepoint_hrv_segments", "title": "Flag HRV/RR segments for quality review", "topics": [ "flag_gazepoint_hrv_segments" ] }, { "page": "flag_gazepoint_mad_artifacts", "title": "Flag MAD-based EDA wearable artifacts", "topics": [ "flag_gazepoint_mad_artifacts" ] }, { "page": "flag_gazepoint_ppg_quality", "title": "Flag segment-level PPG quality", "topics": [ "flag_gazepoint_ppg_quality" ] }, { "page": "flag_gazepoint_rr_outliers", "title": "Flag outlying Gazepoint RR/IBI intervals", "topics": [ "flag_gazepoint_rr_outliers" ] }, { "page": "flag_kleckner_eda_artifacts", "title": "Flag EDA artifacts using transparent Kleckner-style heuristics", "topics": [ "flag_kleckner_eda_artifacts" ] }, { "page": "flip_gazepoint_ppg_signal", "title": "Flip a Gazepoint pulse/PPG signal", "topics": [ "flip_gazepoint_ppg_signal" ] }, { "page": "format_gazepoint_biometrics_feature_inventory", "title": "Format the gpbiometrics feature inventory for users", "topics": [ "format_gazepoint_biometrics_feature_inventory" ] }, { "page": "fuse_gazepoint_respiration_kalman", "title": "Fuse respiration proxies using a Kalman filter", "topics": [ "fuse_gazepoint_respiration_kalman" ] }, { "page": "gazepoint_interoperability_manifest", "title": "Define gpbiometrics interoperability targets", "topics": [ "gazepoint_interoperability_manifest" ] }, { "page": "generate_gazepoint_manifest", "title": "Generate a reproducibility manifest", "topics": [ "generate_gazepoint_manifest" ] }, { "page": "get_gazepoint_plot_data", "title": "Extract stored plot data", "topics": [ "get_gazepoint_plot_data" ] }, { "page": "get_gazepoint_plot_settings", "title": "Extract stored plot settings", "topics": [ "get_gazepoint_plot_settings" ] }, { "page": "gpbiometrics_info", "title": "Print gpbiometrics reproducibility information", "topics": [ "gpbiometrics_info" ] }, { "page": "import_gazepoint_biometric_folder", "title": "Import a folder of Gazepoint Biometrics exports", "topics": [ "import_gazepoint_biometric_folder" ] }, { "page": "import_gazepoint_biometrics", "title": "Import a Gazepoint Biometrics export", "topics": [ "import_gazepoint_biometrics" ] }, { "page": "import_gazepoint_data", "title": "Import Gazepoint export files from a session folder", "topics": [ "import_gazepoint_data" ] }, { "page": "import_gazepoint_data_summary", "title": "Import a Gazepoint Data Summary export", "topics": [ "import_gazepoint_data_summary" ] }, { "page": "import_gazepoint_event_log", "title": "Import a generic Gazepoint-compatible event log", "topics": [ "import_gazepoint_event_log" ] }, { "page": "import_gazepoint_lsl_xdf", "title": "Import Gazepoint-related streams from an LSL/XDF file", "topics": [ "import_gazepoint_lsl_xdf" ] }, { "page": "import_gazepoint_pyhrv_results", "title": "Import pyHRV-style results", "topics": [ "import_gazepoint_pyhrv_results" ] }, { "page": "impute_gazepoint_missing", "title": "Impute missing values in Gazepoint signals", "topics": [ "impute_gazepoint_missing" ] }, { "page": "interpolate_gazepoint_pupil_blinks", "title": "Interpolate Gazepoint pupil blink/dropout spans", "topics": [ "interpolate_gazepoint_pupil_blinks" ] }, { "page": "join_gazepoint_biometrics_to_gp3tools", "title": "Join Gazepoint Biometrics data to gp3tools-style eye-tracking data", "topics": [ "join_gazepoint_biometrics_to_gp3tools" ] }, { "page": "join_gazepoint_biometrics_to_master", "title": "Join Gazepoint Biometrics to a master table", "topics": [ "join_gazepoint_biometrics_to_master" ] }, { "page": "match_gazepoint_events_to_biometrics", "title": "Match events to biometric windows", "topics": [ "match_gazepoint_events_to_biometrics" ] }, { "page": "merge_gazepoint_recordings_pspm_style", "title": "Merge multiple Gazepoint recordings PsPM-style", "topics": [ "merge_gazepoint_recordings_pspm_style" ] }, { "page": "model_gazepoint_eda_point_process", "title": "Model EDA events as a dependency-light point process", "topics": [ "model_gazepoint_eda_point_process" ] }, { "page": "model_gazepoint_hr_point_process", "title": "Model heartbeats as a dependency-light point process", "topics": [ "model_gazepoint_hr_point_process" ] }, { "page": "model_gazepoint_hrv_ipfm", "title": "Model heartbeat timing using an IPFM-style impulse train", "topics": [ "model_gazepoint_hrv_ipfm" ] }, { "page": "normalize_gazepoint_scr", "title": "Normalize Gazepoint SCR amplitudes", "topics": [ "normalize_gazepoint_scr" ] }, { "page": "optimize_gazepoint_cvxeda_tau", "title": "Optimise subject-specific cvxEDA slow time constant", "topics": [ "optimize_gazepoint_cvxeda_tau" ] }, { "page": "physiology_validation_ladder", "title": "Build a multimodal physiology validation ladder", "topics": [ "physiology_validation_ladder" ] }, { "page": "pipeline_comparison_dashboard", "title": "Create a static Gazepoint pipeline comparison dashboard", "topics": [ "pipeline_comparison_dashboard" ] }, { "page": "plot_gazepoint_aoi_biometrics", "title": "Plot AOI-linked biometric summaries", "topics": [ "plot_gazepoint_aoi_biometrics" ] }, { "page": "plot_gazepoint_biometric_quality", "title": "Plot Gazepoint biometric quality indicators", "topics": [ "plot_gazepoint_biometric_quality" ] }, { "page": "plot_gazepoint_biometric_report_dashboard", "title": "Create a lightweight Gazepoint biometric QC plot dashboard", "topics": [ "plot_gazepoint_biometric_report_dashboard" ] }, { "page": "plot_gazepoint_biometric_signals", "title": "Plot Gazepoint biometric signal time series", "topics": [ "plot_gazepoint_biometric_signals" ] }, { "page": "plot_gazepoint_cluster_null_distribution", "title": "Plot the cluster-permutation null distribution", "topics": [ "plot_gazepoint_cluster_null_distribution" ] }, { "page": "plot_gazepoint_cluster_permutation", "title": "Plot Gazepoint cluster permutation results", "topics": [ "plot_gazepoint_cluster_permutation" ] }, { "page": "plot_gazepoint_design_coverage", "title": "Plot Gazepoint design and event-coverage audits", "topics": [ "plot_gazepoint_design_coverage" ] }, { "page": "plot_gazepoint_eda_decomposition", "title": "Plot Gazepoint EDA decomposition channels", "topics": [ "plot_gazepoint_eda_decomposition" ] }, { "page": "plot_gazepoint_eda_gram", "title": "Plot an EDA-gram-style time-frequency representation", "topics": [ "plot_gazepoint_eda_gram" ] }, { "page": "plot_gazepoint_export_profile", "title": "Plot a Gazepoint export-folder profile", "topics": [ "plot_gazepoint_export_profile" ] }, { "page": "plot_gazepoint_missingness", "title": "Plot missingness across Gazepoint signal columns", "topics": [ "plot_gazepoint_missingness" ] }, { "page": "plot_gazepoint_multimodal_timeline", "title": "Plot multimodal Gazepoint biometric timelines", "topics": [ "plot_gazepoint_multimodal_timeline" ] }, { "page": "plot_gazepoint_ppg_breathing", "title": "Plot breathing-rate spectrum from Gazepoint RR/IBI intervals", "topics": [ "plot_gazepoint_ppg_breathing" ] }, { "page": "plot_gazepoint_ppg_peak_detection", "title": "Plot Gazepoint pulse/PPG peak detection results", "topics": [ "plot_gazepoint_ppg_peak_detection" ] }, { "page": "plot_gazepoint_ppg_poincare", "title": "Plot a Poincare plot from Gazepoint pulse/PPG peaks or RR intervals", "topics": [ "plot_gazepoint_ppg_poincare" ] }, { "page": "plot_gazepoint_ppg_segmentwise", "title": "Plot segmentwise Gazepoint pulse/PPG measures", "topics": [ "plot_gazepoint_ppg_segmentwise" ] }, { "page": "plot_gazepoint_pyhrv_hr_heatplot", "title": "Plot pyHRV-style heart-rate heatplot", "topics": [ "plot_gazepoint_pyhrv_hr_heatplot" ] }, { "page": "plot_gazepoint_pyhrv_radar_chart", "title": "Plot pyHRV-style radar chart", "topics": [ "plot_gazepoint_pyhrv_radar_chart" ] }, { "page": "plot_gazepoint_pyhrv_tachogram", "title": "Plot pyHRV-style tachogram", "topics": [ "plot_gazepoint_pyhrv_tachogram" ] }, { "page": "plot_gazepoint_saccade_main_sequence", "title": "Plot Gazepoint saccade main-sequence diagnostics", "topics": [ "plot_gazepoint_saccade_main_sequence" ] }, { "page": "plot_gazepoint_scr_events", "title": "Plot Gazepoint SCR events on an EDA signal", "topics": [ "plot_gazepoint_scr_events" ] }, { "page": "plot_gazepoint_scr_specification_curve", "title": "Plot an SCR specification curve", "topics": [ "plot_gazepoint_scr_specification_curve" ] }, { "page": "plot_gazepoint_signal_activity", "title": "Plot Gazepoint biometric signal activity", "topics": [ "plot_gazepoint_signal_activity" ] }, { "page": "plot_gazepoint_signal_quality", "title": "Plot signal-quality diagnostics", "topics": [ "plot_gazepoint_signal_quality" ] }, { "page": "plot_gazepoint_time_resets", "title": "Plot Gazepoint time resets and time-order flags", "topics": [ "plot_gazepoint_time_resets" ] }, { "page": "ppg_topology_features", "title": "Experimental topology-aware PPG morphology features", "topics": [ "ppg_topology_features" ] }, { "page": "prepare_gazepoint_aoi_biometrics_model_data", "title": "Prepare AOI-biometric model data", "topics": [ "prepare_gazepoint_aoi_biometrics_model_data" ] }, { "page": "prepare_gazepoint_artifact_svm_features", "title": "Prepare EDA artifact-classifier segment features", "topics": [ "prepare_gazepoint_artifact_svm_features" ] }, { "page": "prepare_gazepoint_bids_eye", "title": "Prepare an eye-tracking-only BIDS export", "topics": [ "prepare_gazepoint_bids_eye" ] }, { "page": "prepare_gazepoint_bids_physio", "title": "Prepare a physiology-only BIDS export", "topics": [ "prepare_gazepoint_bids_physio" ] }, { "page": "prepare_gazepoint_biometrics_lme_data", "title": "Prepare Gazepoint biometric summaries for mixed-model analysis", "topics": [ "prepare_gazepoint_biometrics_lme_data" ] }, { "page": "prepare_gazepoint_biosppy_input", "title": "Prepare Gazepoint signals for Python BioSPPy", "topics": [ "prepare_gazepoint_biosppy_input" ] }, { "page": "prepare_gazepoint_ctsi_input", "title": "Prepare Gazepoint EDA data for CTSI sparse deconvolution workflows", "topics": [ "prepare_gazepoint_ctsi_input" ] }, { "page": "prepare_gazepoint_cvxeda_input", "title": "Prepare Gazepoint EDA input for external cvxEDA-style workflows", "topics": [ "prepare_gazepoint_cvxeda_input" ] }, { "page": "prepare_gazepoint_eyetrackingr_input", "title": "Prepare Gazepoint data for eyetrackingR", "topics": [ "prepare_gazepoint_eyetrackingr_input" ] }, { "page": "prepare_gazepoint_gazer_input", "title": "Prepare Gazepoint data for gazeR", "topics": [ "prepare_gazepoint_gazer_input" ] }, { "page": "prepare_gazepoint_heartpy_input", "title": "Prepare Gazepoint pulse/PPG data for HeartPy-style workflows", "topics": [ "prepare_gazepoint_heartpy_input" ] }, { "page": "prepare_gazepoint_ledalab_input", "title": "Prepare Gazepoint EDA input for external Ledalab-style workflows", "topics": [ "prepare_gazepoint_ledalab_input" ] }, { "page": "prepare_gazepoint_mixed_model_data", "title": "Prepare Gazepoint data for mixed-model analysis", "topics": [ "prepare_gazepoint_mixed_model_data" ] }, { "page": "prepare_gazepoint_mne_events", "title": "Prepare Gazepoint events for MNE-Python", "topics": [ "prepare_gazepoint_mne_events" ] }, { "page": "prepare_gazepoint_mne_input", "title": "Prepare Gazepoint channels for an MNE RawArray", "topics": [ "prepare_gazepoint_mne_input" ] }, { "page": "prepare_gazepoint_multimodal_model_data", "title": "Prepare Gazepoint multimodal model data", "topics": [ "prepare_gazepoint_multimodal_model_data" ] }, { "page": "prepare_gazepoint_neurokit_eda_input", "title": "Prepare Gazepoint EDA input for NeuroKit2-style workflows", "topics": [ "prepare_gazepoint_neurokit_eda_input" ] }, { "page": "prepare_gazepoint_pspm_dcm_input", "title": "Prepare Gazepoint EDA data for PsPM DCM workflows", "topics": [ "prepare_gazepoint_pspm_dcm_input" ] }, { "page": "prepare_gazepoint_pspm_input", "title": "Prepare Gazepoint EDA input for external PsPM-style workflows", "topics": [ "prepare_gazepoint_pspm_input" ] }, { "page": "prepare_gazepoint_pupillometryr_input", "title": "Prepare Gazepoint pupil data for PupillometryR", "topics": [ "prepare_gazepoint_pupillometryr_input" ] }, { "page": "prepare_gazepoint_pyhrv_input", "title": "Prepare Gazepoint intervals for Python pyHRV", "topics": [ "prepare_gazepoint_pyhrv_input" ] }, { "page": "prepare_gazepoint_pyppg_input", "title": "Prepare Gazepoint HRP/PPG waveform input for pyPPG", "topics": [ "prepare_gazepoint_pyppg_input" ] }, { "page": "prepare_gazepoint_rhrv_input", "title": "Prepare Gazepoint IBI/RR data for RHRV", "topics": [ "prepare_gazepoint_rhrv_input" ] }, { "page": "prepare_gazepoint_scr_hurdle_model_data", "title": "Prepare Gazepoint SCR hurdle-model data", "topics": [ "prepare_gazepoint_scr_hurdle_model_data" ] }, { "page": "prepare_gazepoint_timecourse_test_data", "title": "Prepare Gazepoint time-course data for cluster permutation testing", "topics": [ "prepare_gazepoint_timecourse_test_data" ] }, { "page": "preprocess_gazepoint_all", "title": "Preprocess all available Gazepoint channels", "topics": [ "preprocess_gazepoint_all" ] }, { "page": "preprocess_gazepoint_scr_pspm_style", "title": "Preprocess Gazepoint SCR/GSR data PsPM-style", "topics": [ "preprocess_gazepoint_scr_pspm_style" ] }, { "page": "process_gazepoint_ppg_heartpy_style", "title": "Run a full HeartPy-style Gazepoint pulse/PPG process", "topics": [ "process_gazepoint_ppg_heartpy_style" ] }, { "page": "process_gazepoint_ppg_segmentwise", "title": "Process Gazepoint pulse/PPG data in overlapping HeartPy-style segments", "topics": [ "process_gazepoint_ppg_segmentwise" ] }, { "page": "profile_gazepoint_export_folder", "title": "Profile a Gazepoint export folder before analysis", "topics": [ "profile_gazepoint_export_folder" ] }, { "page": "recommend_gazepoint_biometric_exclusions", "title": "Recommend Gazepoint biometric exclusions", "topics": [ "recommend_gazepoint_biometric_exclusions" ] }, { "page": "reconstruct_gazepoint_ppg_clipping", "title": "Detect and reconstruct clipped pulse/PPG samples", "topics": [ "reconstruct_gazepoint_ppg_clipping" ] }, { "page": "regress_gazepoint_pupil_luminance", "title": "Regress stimulus luminance from pupil diameter", "topics": [ "regress_gazepoint_pupil_luminance" ] }, { "page": "reject_gazepoint_ppg_peaks", "title": "Reject implausible pulse/PPG peaks using RR-interval thresholds", "topics": [ "reject_gazepoint_ppg_peaks" ] }, { "page": "remove_gazepoint_ppg_baseline_wander", "title": "Remove baseline wander from Gazepoint pulse/PPG data", "topics": [ "remove_gazepoint_ppg_baseline_wander" ] }, { "page": "report_gazepoint_cluster_permutation", "title": "Create conservative reporting text for a cluster-permutation result", "topics": [ "report_gazepoint_cluster_permutation" ] }, { "page": "report_gazepoint_data_quality", "title": "Report Gazepoint data quality", "topics": [ "report_gazepoint_data_quality" ] }, { "page": "respiration_from_ppg", "title": "Estimate respiration from PPG", "topics": [ "respiration_from_ppg" ] }, { "page": "run_gazepoint_automated_statistics", "title": "Run automated exploratory statistics for Gazepoint feature tables", "topics": [ "run_gazepoint_automated_statistics" ] }, { "page": "run_gazepoint_biometrics_real_data_readiness", "title": "Run a final real-data readiness gate for Gazepoint biometrics data", "topics": [ "run_gazepoint_biometrics_real_data_readiness" ] }, { "page": "run_gazepoint_biometrics_workflow", "title": "Run a Gazepoint Biometrics workflow", "topics": [ "run_gazepoint_biometrics_workflow" ] }, { "page": "run_gazepoint_biosppy_eda", "title": "Run BioSPPy-style Gazepoint EDA processing", "topics": [ "run_gazepoint_biosppy_eda" ] }, { "page": "run_gazepoint_biosppy_ppg", "title": "Run BioSPPy-style Gazepoint PPG/BVP processing", "topics": [ "run_gazepoint_biosppy_ppg" ] }, { "page": "run_gazepoint_cluster_permutation", "title": "Run a conservative cluster-based permutation test for Gazepoint time courses", "topics": [ "run_gazepoint_cluster_permutation" ] }, { "page": "run_gazepoint_cluster_permutation_anova", "title": "Guardrail for cluster-permutation ANOVA", "topics": [ "run_gazepoint_cluster_permutation_anova" ] }, { "page": "run_gazepoint_cluster_permutation_covariate_adjusted", "title": "Guardrail for covariate-adjusted cluster permutation", "topics": [ "run_gazepoint_cluster_permutation_covariate_adjusted" ] }, { "page": "run_gazepoint_cluster_permutation_lmer", "title": "Guardrail for mixed-model cluster permutation", "topics": [ "run_gazepoint_cluster_permutation_lmer" ] }, { "page": "run_gazepoint_cluster_permutation_parallel", "title": "Guardrail for high-performance cluster permutation", "topics": [ "run_gazepoint_cluster_permutation_parallel" ] }, { "page": "run_gazepoint_cluster_threshold_sensitivity", "title": "Run threshold-sensitivity checks for cluster-permutation analysis", "topics": [ "run_gazepoint_cluster_threshold_sensitivity" ] }, { "page": "run_gazepoint_eda_analysis_pipeline", "title": "Run a six-phase Gazepoint EDA/GSR analysis pipeline", "topics": [ "run_gazepoint_eda_analysis_pipeline" ] }, { "page": "run_gazepoint_heartpy_crosscheck", "title": "Run a Gazepoint pulse/PPG cross-check against HeartPy when available", "topics": [ "run_gazepoint_heartpy_crosscheck" ] }, { "page": "run_gazepoint_multidimensional_cluster_permutation", "title": "Guardrail for multidimensional cluster permutation", "topics": [ "run_gazepoint_multidimensional_cluster_permutation" ] }, { "page": "run_gazepoint_neurokit_eda_crosscheck", "title": "Optionally run a NeuroKit2 EDA cross-check", "topics": [ "run_gazepoint_neurokit_eda_crosscheck" ] }, { "page": "run_gazepoint_online_design_optimization", "title": "Run blockwise online design optimization decision support", "topics": [ "run_gazepoint_online_design_optimization" ] }, { "page": "run_gazepoint_pyhrv_style", "title": "Run pyHRV-style Gazepoint HRV analysis", "topics": [ "run_gazepoint_pyhrv_style" ] }, { "page": "run_gazepoint_real_data_smoke", "title": "Run privacy-safe smoke tests on private Gazepoint exports", "topics": [ "run_gazepoint_real_data_smoke" ] }, { "page": "run_gazepoint_scr_multiverse", "title": "Run a multiverse of SCR scoring specifications", "topics": [ "run_gazepoint_scr_multiverse" ] }, { "page": "run_gazepoint_scr_threshold_sensitivity", "title": "Run Gazepoint SCR threshold sensitivity checks", "topics": [ "run_gazepoint_scr_threshold_sensitivity" ] }, { "page": "run_gazepoint_tfce", "title": "Guardrail for threshold-free cluster enhancement", "topics": [ "run_gazepoint_tfce" ] }, { "page": "run_gpbiometrics_shiny", "title": "Launch a lightweight gpbiometrics Shiny dashboard", "topics": [ "run_gpbiometrics_shiny" ] }, { "page": "run_gpbiometrics_shiny_annotator", "title": "Launch a lightweight gpbiometrics Shiny peak/artifact annotator", "topics": [ "run_gpbiometrics_shiny_annotator" ] }, { "page": "scale_gazepoint_ppg_sections", "title": "Scale Gazepoint pulse/PPG signals within sections", "topics": [ "scale_gazepoint_ppg_sections" ] }, { "page": "scale_gazepoint_ppg_signal", "title": "Scale a Gazepoint pulse/PPG signal", "topics": [ "scale_gazepoint_ppg_signal" ] }, { "page": "scr_responsivity_sensitivity", "title": "Retention-first SCR responsivity sensitivity", "topics": [ "scr_responsivity_sensitivity" ] }, { "page": "screen_gazepoint_eda_nonresponders", "title": "Screen Gazepoint EDA/SCR nonresponders", "topics": [ "screen_gazepoint_eda_nonresponders" ] }, { "page": "segment_gazepoint_pyhrv_nni", "title": "Segment NN intervals into time windows", "topics": [ "segment_gazepoint_pyhrv_nni" ] }, { "page": "session_info_gazepoint", "title": "Record gpbiometrics session information", "topics": [ "session_info_gazepoint" ] }, { "page": "simulate_gazepoint_artifact", "title": "Inject simple synthetic artifacts into signal columns", "topics": [ "simulate_gazepoint_artifact" ] }, { "page": "simulate_gazepoint_biometrics", "title": "Simulate Gazepoint-style biometric signals", "topics": [ "simulate_gazepoint_biometrics" ] }, { "page": "simulate_gazepoint_cluster_timecourse_data", "title": "Simulate two-condition time-course data for cluster-permutation examples", "topics": [ "simulate_gazepoint_cluster_timecourse_data" ] }, { "page": "simulate_gazepoint_eye_data", "title": "Simulate Gazepoint-style gaze and pupil data", "topics": [ "simulate_gazepoint_eye_data" ] }, { "page": "simulate_gazepoint_multimodal_data", "title": "Simulate a small multimodal Gazepoint-style dataset", "topics": [ "simulate_gazepoint_multimodal_data" ] }, { "page": "smooth_gazepoint_biometrics", "title": "Smooth a Gazepoint biometric signal", "topics": [ "smooth_gazepoint_biometrics" ] }, { "page": "smooth_gazepoint_ppg_signal", "title": "Smooth a Gazepoint pulse/PPG signal", "topics": [ "smooth_gazepoint_ppg_signal" ] }, { "page": "smooth_gazepoint_pupil", "title": "Smooth Gazepoint pupil columns", "topics": [ "smooth_gazepoint_pupil" ] }, { "page": "split_gazepoint_sessions_pspm_style", "title": "Split Gazepoint recordings into PsPM-style sessions", "topics": [ "split_gazepoint_sessions_pspm_style" ] }, { "page": "standardise_gazepoint_adaptive_ema", "title": "Adaptive EMA normalization for non-stationary EDA", "topics": [ "standardise_gazepoint_adaptive_ema", "standardize_gazepoint_adaptive_ema" ] }, { "page": "standardise_gazepoint_biometric_names", "title": "Standardise Gazepoint biometric column names", "topics": [ "standardise_gazepoint_biometric_names" ] }, { "page": "standardise_gazepoint_plot_contract", "title": "Standardise a Gazepoint plot return contract", "topics": [ "standardise_gazepoint_plot_contract" ] }, { "page": "standardise_gazepoint_range_correction", "title": "Standardise SCR or SCL using within-participant range correction", "topics": [ "standardise_gazepoint_range_correction", "standardize_gazepoint_range_correction" ] }, { "page": "standardise_gazepoint_zscore", "title": "Standardise SCR or SCL using intra-individual z-scoring", "topics": [ "standardise_gazepoint_zscore", "standardize_gazepoint_zscore" ] }, { "page": "standardize_gazepoint_biometrics_within_unit", "title": "Standardize biometric signals within participant or other analysis units", "topics": [ "standardise_gazepoint_biometrics_within_unit", "standardize_gazepoint_biometrics_within_unit" ] }, { "page": "standardize_gazepoint_column_names", "title": "Standardize common Gazepoint column names", "topics": [ "standardize_gazepoint_column_names" ] }, { "page": "standardize_gazepoint_columns", "title": "Standardize Gazepoint column names", "topics": [ "standardize_gazepoint_columns" ] }, { "page": "standardize_gazepoint_plot_contracts", "title": "Standardize Gazepoint plot return contracts", "topics": [ "standardize_gazepoint_plot_contracts" ] }, { "page": "summarise_gazepoint_aoi_biometrics", "title": "Summarise biometric signals by AOI", "topics": [ "summarise_gazepoint_aoi_biometrics" ] }, { "page": "summarise_gazepoint_biometric_validity", "title": "Summarise validity and availability of Gazepoint biometric signals", "topics": [ "summarise_gazepoint_biometric_validity" ] }, { "page": "summarise_gazepoint_biometrics_feature_inventory", "title": "Summarise the formatted gpbiometrics feature inventory", "topics": [ "summarise_gazepoint_biometrics_feature_inventory" ] }, { "page": "summarise_gazepoint_biometrics_workflow", "title": "Summarise a Gazepoint Biometrics workflow object", "topics": [ "summarise_gazepoint_biometrics_workflow" ] }, { "page": "summarise_gazepoint_decision_log", "title": "Summarise a Gazepoint analysis decision log", "topics": [ "summarise_gazepoint_decision_log" ] }, { "page": "summarise_gazepoint_dial_windows", "title": "Summarise Gazepoint engagement-dial windows", "topics": [ "summarise_gazepoint_dial_windows" ] }, { "page": "summarise_gazepoint_engagement_windows", "title": "Summarise Gazepoint engagement-dial windows", "topics": [ "summarise_gazepoint_engagement_windows" ] }, { "page": "summarise_gazepoint_fixations_by_aoi", "title": "Summarise Gazepoint fixations by area of interest", "topics": [ "summarise_gazepoint_fixations_by_aoi" ] }, { "page": "summarise_gazepoint_full_biometric_windows", "title": "Summarise full Gazepoint biometric windows", "topics": [ "summarise_gazepoint_full_biometric_windows" ] }, { "page": "summarise_gazepoint_gsr_tonic_phasic", "title": "Summarise tonic and phasic GSR/EDA components", "topics": [ "summarise_gazepoint_gsr_tonic_phasic" ] }, { "page": "summarise_gazepoint_gsr_windows", "title": "Summarise Gazepoint GSR/EDA windows", "topics": [ "summarise_gazepoint_gsr_windows" ] }, { "page": "summarise_gazepoint_hr_windows", "title": "Summarise Gazepoint heart-rate windows", "topics": [ "summarise_gazepoint_hr_windows" ] }, { "page": "summarise_gazepoint_hrv_features", "title": "Summarise time-domain HRV features from Gazepoint IBI/RR intervals", "topics": [ "summarise_gazepoint_hrv_features" ] }, { "page": "summarise_gazepoint_ibi_hrv_windows", "title": "Summarise Gazepoint IBI-derived HRV windows", "topics": [ "summarise_gazepoint_ibi_hrv_windows" ] }, { "page": "summarise_gazepoint_ibi_windows", "title": "Summarise IBI/RR windows", "topics": [ "summarise_gazepoint_ibi_windows" ] }, { "page": "summarise_gazepoint_multimodal_windows", "title": "Summarise Gazepoint multimodal biometric windows", "topics": [ "summarise_gazepoint_multimodal_windows" ] }, { "page": "summarise_gazepoint_scr_event_windows", "title": "Summarise Gazepoint SCR responses in event windows", "topics": [ "summarise_gazepoint_scr_event_windows" ] }, { "page": "summarize_gazepoint_aoi_dwell", "title": "Summarize AOI dwell time and entries", "topics": [ "summarize_gazepoint_aoi_dwell" ] }, { "page": "summarize_gazepoint_audit_trail", "title": "Summarize a Gazepoint audit trail", "topics": [ "summarize_gazepoint_audit_trail" ] }, { "page": "summarize_gazepoint_beat_corrections", "title": "Summarize beat-correction logs", "topics": [ "summarize_gazepoint_beat_corrections" ] }, { "page": "summarize_gazepoint_eventlocked_multimodal", "title": "Summarize event-locked multimodal Gazepoint data", "topics": [ "summarize_gazepoint_eventlocked_multimodal" ] }, { "page": "summarize_gazepoint_export_inventory", "title": "Summarize Gazepoint export inventory", "topics": [ "summarize_gazepoint_export_inventory" ] }, { "page": "summarize_gazepoint_feature_coverage", "title": "Summarize gpbiometrics feature coverage", "topics": [ "summarize_gazepoint_feature_coverage" ] }, { "page": "summarize_gazepoint_fixations", "title": "Summarize Gazepoint fixation metrics", "topics": [ "summarize_gazepoint_fixations" ] }, { "page": "summarize_gazepoint_fixations_by_aoi", "title": "American-spelling alias for fixation summaries by AOI", "topics": [ "summarize_gazepoint_fixations_by_aoi" ] }, { "page": "summarize_gazepoint_missingness", "title": "Summarize missingness and gap structure in Gazepoint data", "topics": [ "summarize_gazepoint_missingness" ] }, { "page": "summarize_gazepoint_nonwear", "title": "Summarize signal-dropout detections", "topics": [ "summarize_gazepoint_nonwear" ] }, { "page": "summarize_gazepoint_preregistration_readiness", "title": "Summarize preregistration readiness", "topics": [ "summarize_gazepoint_preregistration_readiness" ] }, { "page": "summarize_gazepoint_pupil_events", "title": "Summarize event-related pupil responses", "topics": [ "summarize_gazepoint_pupil_events" ] }, { "page": "summarize_gazepoint_qc_overview", "title": "Summarize QC overview tables", "topics": [ "summarize_gazepoint_qc_overview" ] }, { "page": "summarize_gazepoint_scanpath_metrics", "title": "Summarize simple scanpath metrics", "topics": [ "summarize_gazepoint_scanpath_metrics" ] }, { "page": "summarize_gazepoint_scr_recovery", "title": "Summarize SCR recovery around events", "topics": [ "summarize_gazepoint_scr_recovery" ] }, { "page": "summarize_gazepoint_signal_quality", "title": "Summarize signal-quality indicators", "topics": [ "summarize_gazepoint_signal_quality" ] }, { "page": "summarize_gazepoint_time_clusters", "title": "Summarize Gazepoint time clusters", "topics": [ "summarize_gazepoint_time_clusters" ] }, { "page": "summarize_gazepoint_tracking", "title": "Summarize Gazepoint tracking validity", "topics": [ "summarize_gazepoint_tracking" ] }, { "page": "sync_gazepoint_biometrics_with_gaze", "title": "Synchronise Gazepoint Biometrics with gaze data", "topics": [ "sync_gazepoint_biometrics_with_gaze" ] }, { "page": "sync_gazepoint_signals_via_lsl", "title": "Synchronize imported Gazepoint LSL/XDF streams", "topics": [ "sync_gazepoint_signals_via_lsl" ] }, { "page": "test_gazepoint_hrv_nonlinearity", "title": "Test HRV nonlinearity using surrogate data", "topics": [ "test_gazepoint_hrv_nonlinearity" ] }, { "page": "trim_gazepoint_biometrics_pspm_style", "title": "Trim Gazepoint biometrics data PsPM-style", "topics": [ "trim_gazepoint_biometrics_pspm_style" ] }, { "page": "upsample_gazepoint_data", "title": "Regularize signal data to an evenly spaced time grid", "topics": [ "upsample_gazepoint_data" ] }, { "page": "validate_gazepoint_biometrics", "title": "Validate a Gazepoint Biometrics export", 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