A B C D E F G I J M O P R S T V W
| align_gazepoint_biometrics_to_ttl | Align Gazepoint biometric samples to TTL events |
| analyze_gazepoint_ac_susceptance | Analyse AC EDA admittance and susceptance recordings |
| analyze_gazepoint_cardiorespiratory_causality | Analyse cardiorespiratory Granger-style directionality |
| analyze_gazepoint_skin_potential | Analyse endosomatic skin-potential recordings |
| assess_gazepoint_hrp_waveform_quality | Assess Gazepoint HRP waveform quality |
| audit_gazepoint_biometric_missingness | Audit missingness in Gazepoint biometric channels |
| audit_gazepoint_biometric_sampling | Audit Gazepoint biometric sampling and timing |
| audit_gazepoint_biometric_sync_drift | Audit Gazepoint biometric synchronization drift |
| audit_gazepoint_distributional_drift | Audit distributional drift across sessions or ordered blocks |
| audit_gazepoint_eda_artifacts | Audit Gazepoint EDA/GSR artifacts |
| audit_gazepoint_engagement_dial | Audit Gazepoint engagement-dial signal quality |
| audit_gazepoint_gsr_quality | Audit Gazepoint GSR/EDA signal quality |
| audit_gazepoint_gsr_units | Audit likely GSR/EDA units |
| audit_gazepoint_hr_quality | Audit Gazepoint heart-rate signal quality |
| audit_gazepoint_ibi_quality | Audit IBI/RR interval quality |
| audit_gazepoint_signal_activity | Audit Gazepoint biometric signal activity |
| audit_gazepoint_stabilization_period | Audit or trim the EDA electrode stabilization period |
| audit_gazepoint_time_resets | Audit Gazepoint biometric time resets |
| baseline_correct_gazepoint_gsr | Baseline-correct Gazepoint GSR/EDA |
| baseline_correct_gazepoint_hr | Baseline-correct Gazepoint heart rate |
| baseline_correct_gazepoint_pupil | Baseline-correct Gazepoint pupil size |
| calculate_gazepoint_rsa | Calculate respiration-informed RSA proxy features |
| check_gazepoint_biometric_columns | Check Gazepoint biometric columns |
| check_gazepoint_plot_contract | Check a Gazepoint plot return contract |
| chunk_gazepoint_biometrics | Chunk Gazepoint biometric data into fixed analysis episodes |
| classify_gazepoint_eda_response_pattern | Classify descriptive Gazepoint EDA response patterns |
| classify_gazepoint_scr_intervals | Classify SCRs into FIR, SIR, and TIR latency intervals |
| compare_gazepoint_hr_ibi_consistency | Compare Gazepoint HR and IBI-derived heart rate |
| convert_gazepoint_gsr_to_conductance | Convert Gazepoint GSR resistance to conductance |
| correct_gazepoint_eda_temperature | Correct EDA for ambient or body temperature |
| create_gazepoint_biometrics_checklist | Create a Gazepoint Biometrics reporting checklist |
| create_gazepoint_biometrics_feature_inventory | Create a gpbiometrics feature inventory |
| create_gazepoint_biometrics_methods_text | Create Gazepoint Biometrics methods text |
| create_gazepoint_biometrics_report | Create a Gazepoint Biometrics report |
| create_gazepoint_biometrics_report_tables | Create Gazepoint Biometrics report tables |
| create_gazepoint_eda_analysis_pipeline | Create a Gazepoint EDA analysis pipeline guide |
| create_gazepoint_preregistration_template | Create a Gazepoint biometrics preregistration template |
| decompose_gazepoint_eda | Decompose Gazepoint GSR/EDA into tonic and phasic components |
| denoise_gazepoint_eda_autoencoder | Denoise EDA using a user-supplied autoencoder reconstruction model |
| denoise_gazepoint_eda_wavelet | Denoise EDA using dependency-light Haar wavelet shrinkage |
| denoise_gazepoint_ppg_autoencoder | Denoise PPG using a user-supplied autoencoder reconstruction model |
| denoise_gazepoint_quantization_noise | Add small uniform noise to reduce quantization overlap |
| detect_active_biometric_channels | Detect active Gazepoint biometric channels |
| detect_gazepoint_biometric_schema | Detect the schema of Gazepoint biometric data |
| detect_gazepoint_biometric_timebase | Detect the likely timebase of Gazepoint biometric data |
| detect_gazepoint_doubly_stochastic_changepoints | Detect stochastic change points in noisy biometric signals |
| detect_gazepoint_scr_events | Detect SCR-like events in Gazepoint GSR/EDA data |
| detect_gazepoint_scr_peaks | Detect Gazepoint SCR peaks |
| detect_gazepoint_time_columns | Detect Gazepoint biometric time columns |
| diagnose_gazepoint_biometrics_workflow | Diagnose a Gazepoint Biometrics workflow |
| estimate_gazepoint_signal_lag | Estimate lag between two Gazepoint biometric signals |
| export_gazepoint_biometrics_report_bundle | Export a Gazepoint biometrics report bundle |
| export_gazepoint_rhrv_input | Export Gazepoint IBI data for RHRV-style workflows |
| extract_gazepoint_beats_kmeans | Extract heartbeat candidates from Gazepoint pulse using k-means |
| extract_gazepoint_bilateral_eda_asymmetry | Extract bilateral EDA asymmetry features |
| extract_gazepoint_eda_complexity | Extract EDA complexity features |
| extract_gazepoint_eda_spectral_power | Extract frequency-domain EDA spectral power |
| extract_gazepoint_eda_tvsymp | Extract time-varying spectral EDA features |
| extract_gazepoint_edr_pca | Extract ECG-derived respiration using PCA |
| extract_gazepoint_hrv_asymmetry | Extract heart-rate asymmetry features |
| extract_gazepoint_hrv_features | Extract time-domain HRV features from Gazepoint IBI intervals |
| extract_gazepoint_hrv_fragmentation | Extract heart-rate fragmentation features |
| extract_gazepoint_hrv_fuzzy_csi | Extract FuzzyEn and Lorenz-plot CSI HRV features |
| extract_gazepoint_hrv_geometric | Extract geometric HRV features |
| extract_gazepoint_hrv_nonlinear | Extract nonlinear HRV features from IBI/RR intervals |
| extract_gazepoint_hrv_rcmse | Extract refined composite multiscale entropy from HRV intervals |
| extract_gazepoint_hrv_rqa | Extract HRV recurrence quantification analysis features |
| extract_gazepoint_pdr_signals | Extract PPG-derived respiration proxy signals |
| extract_gazepoint_respiration_ceemdan | Extract respiration proxy using a CEEMDAN-style bridge |
| extract_gazepoint_scr_recovery_times | Extract SCR recovery times |
| extract_gazepoint_ttl_events | Extract Gazepoint TTL marker events |
| filter_gazepoint_ibi_implausible | Filter implausible Gazepoint IBI values |
| flag_gazepoint_artifacts_svm | Flag EDA artifacts with a user-supplied SVM-style model |
| flag_gazepoint_biometric_dropouts | Flag biometric dropouts and flatline periods |
| flag_gazepoint_mad_artifacts | Flag MAD-based EDA wearable artifacts |
| flag_kleckner_eda_artifacts | Flag EDA artifacts using transparent Kleckner-style heuristics |
| format_gazepoint_biometrics_feature_inventory | Format the gpbiometrics feature inventory for users |
| fuse_gazepoint_respiration_kalman | Fuse respiration proxies using a Kalman filter |
| get_gazepoint_plot_data | Extract stored plot data |
| get_gazepoint_plot_settings | Extract stored plot settings |
| import_gazepoint_biometrics | Import a Gazepoint Biometrics export |
| import_gazepoint_biometric_folder | Import a folder of Gazepoint Biometrics exports |
| import_gazepoint_data_summary | Import a Gazepoint Data Summary export |
| import_gazepoint_lsl_xdf | Import Gazepoint-related streams from an LSL/XDF file |
| join_gazepoint_biometrics_to_gp3tools | Join Gazepoint Biometrics data to gp3tools-style eye-tracking data |
| join_gazepoint_biometrics_to_master | Join Gazepoint Biometrics to a master table |
| model_gazepoint_eda_point_process | Model EDA events as a dependency-light point process |
| model_gazepoint_hrv_ipfm | Model heartbeat timing using an IPFM-style impulse train |
| model_gazepoint_hr_point_process | Model heartbeats as a dependency-light point process |
| optimize_gazepoint_cvxeda_tau | Optimise subject-specific cvxEDA slow time constant |
| plot_gazepoint_aoi_biometrics | Plot AOI-linked biometric summaries |
| plot_gazepoint_biometric_quality | Plot Gazepoint biometric quality indicators |
| plot_gazepoint_biometric_report_dashboard | Create a lightweight Gazepoint biometric QC plot dashboard |
| plot_gazepoint_biometric_signals | Plot Gazepoint biometric signal time series |
| plot_gazepoint_eda_decomposition | Plot Gazepoint EDA decomposition channels |
| plot_gazepoint_eda_gram | Plot an EDA-gram-style time-frequency representation |
| plot_gazepoint_multimodal_timeline | Plot multimodal Gazepoint biometric timelines |
| plot_gazepoint_saccade_main_sequence | Plot Gazepoint saccade main-sequence diagnostics |
| plot_gazepoint_scr_events | Plot Gazepoint SCR events on an EDA signal |
| plot_gazepoint_scr_specification_curve | Plot an SCR specification curve |
| plot_gazepoint_signal_activity | Plot Gazepoint biometric signal activity |
| plot_gazepoint_time_resets | Plot Gazepoint time resets and time-order flags |
| prepare_gazepoint_aoi_biometrics_model_data | Prepare AOI-biometric model data |
| prepare_gazepoint_artifact_svm_features | Prepare EDA artifact-classifier segment features |
| prepare_gazepoint_biometrics_lme_data | Prepare Gazepoint biometric summaries for mixed-model analysis |
| prepare_gazepoint_ctsi_input | Prepare Gazepoint EDA data for CTSI sparse deconvolution workflows |
| prepare_gazepoint_cvxeda_input | Prepare Gazepoint EDA input for external cvxEDA-style workflows |
| prepare_gazepoint_ledalab_input | Prepare Gazepoint EDA input for external Ledalab-style workflows |
| prepare_gazepoint_multimodal_model_data | Prepare Gazepoint multimodal model data |
| prepare_gazepoint_neurokit_eda_input | Prepare Gazepoint EDA input for NeuroKit2-style workflows |
| prepare_gazepoint_pspm_dcm_input | Prepare Gazepoint EDA data for PsPM DCM workflows |
| prepare_gazepoint_pspm_input | Prepare Gazepoint EDA input for external PsPM-style workflows |
| prepare_gazepoint_pyppg_input | Prepare Gazepoint HRP/PPG waveform input for pyPPG |
| prepare_gazepoint_rhrv_input | Prepare Gazepoint IBI/RR data for RHRV |
| prepare_gazepoint_scr_hurdle_model_data | Prepare Gazepoint SCR hurdle-model data |
| recommend_gazepoint_biometric_exclusions | Recommend Gazepoint biometric exclusions |
| regress_gazepoint_pupil_luminance | Regress stimulus luminance from pupil diameter |
| run_gazepoint_automated_statistics | Run automated exploratory statistics for Gazepoint feature tables |
| run_gazepoint_biometrics_real_data_readiness | Run a final real-data readiness gate for Gazepoint biometrics data |
| run_gazepoint_biometrics_workflow | Run a Gazepoint Biometrics workflow |
| run_gazepoint_eda_analysis_pipeline | Run a six-phase Gazepoint EDA/GSR analysis pipeline |
| run_gazepoint_neurokit_eda_crosscheck | Optionally run a NeuroKit2 EDA cross-check |
| run_gazepoint_online_design_optimization | Run blockwise online design optimization decision support |
| run_gazepoint_scr_multiverse | Run a multiverse of SCR scoring specifications |
| run_gazepoint_scr_threshold_sensitivity | Run Gazepoint SCR threshold sensitivity checks |
| run_gpbiometrics_shiny | Launch a lightweight gpbiometrics Shiny dashboard |
| run_gpbiometrics_shiny_annotator | Launch a lightweight gpbiometrics Shiny peak/artifact annotator |
| screen_gazepoint_eda_nonresponders | Screen Gazepoint EDA/SCR nonresponders |
| simulate_gazepoint_biometrics | Simulate Gazepoint-style biometric signals |
| smooth_gazepoint_biometrics | Smooth a Gazepoint biometric signal |
| standardise_gazepoint_adaptive_ema | Adaptive EMA normalization for non-stationary EDA |
| standardise_gazepoint_biometrics_within_unit | Standardize biometric signals within participant or other analysis units |
| standardise_gazepoint_biometric_names | Standardise Gazepoint biometric column names |
| standardise_gazepoint_plot_contract | Standardise a Gazepoint plot return contract |
| standardise_gazepoint_range_correction | Standardise SCR or SCL using within-participant range correction |
| standardise_gazepoint_zscore | Standardise SCR or SCL using intra-individual z-scoring |
| standardize_gazepoint_adaptive_ema | Adaptive EMA normalization for non-stationary EDA |
| standardize_gazepoint_biometrics_within_unit | Standardize biometric signals within participant or other analysis units |
| standardize_gazepoint_plot_contracts | Standardize Gazepoint plot return contracts |
| standardize_gazepoint_range_correction | Standardise SCR or SCL using within-participant range correction |
| standardize_gazepoint_zscore | Standardise SCR or SCL using intra-individual z-scoring |
| summarise_gazepoint_aoi_biometrics | Summarise biometric signals by AOI |
| summarise_gazepoint_biometrics_feature_inventory | Summarise the formatted gpbiometrics feature inventory |
| summarise_gazepoint_biometrics_workflow | Summarise a Gazepoint Biometrics workflow object |
| summarise_gazepoint_biometric_validity | Summarise validity and availability of Gazepoint biometric signals |
| summarise_gazepoint_dial_windows | Summarise Gazepoint engagement-dial windows |
| summarise_gazepoint_engagement_windows | Summarise Gazepoint engagement-dial windows |
| summarise_gazepoint_full_biometric_windows | Summarise full Gazepoint biometric windows |
| summarise_gazepoint_gsr_tonic_phasic | Summarise tonic and phasic GSR/EDA components |
| summarise_gazepoint_gsr_windows | Summarise Gazepoint GSR/EDA windows |
| summarise_gazepoint_hrv_features | Summarise time-domain HRV features from Gazepoint IBI/RR intervals |
| summarise_gazepoint_hr_windows | Summarise Gazepoint heart-rate windows |
| summarise_gazepoint_ibi_hrv_windows | Summarise Gazepoint IBI-derived HRV windows |
| summarise_gazepoint_ibi_windows | Summarise IBI/RR windows |
| summarise_gazepoint_multimodal_windows | Summarise Gazepoint multimodal biometric windows |
| summarise_gazepoint_scr_event_windows | Summarise Gazepoint SCR responses in event windows |
| sync_gazepoint_biometrics_with_gaze | Synchronise Gazepoint Biometrics with gaze data |
| test_gazepoint_hrv_nonlinearity | Test HRV nonlinearity using surrogate data |
| validate_gazepoint_biometrics | Validate a Gazepoint Biometrics export |
| write_gazepoint_biometrics_report_tables | Write Gazepoint Biometrics report tables |