Package index

Reviewer and manuscript report templates

Helpers for generating conservative manuscript-ready methods, quality-control, reproducibility, and audit-summary text from Gazepoint workflow objects.

create_gazepoint_methods_section(): Create a compact Gazepoint methods section
create_gazepoint_qc_supplement(): Create a Gazepoint quality-control supplement section
create_gazepoint_reproducibility_statement(): Create a Gazepoint reproducibility statement
create_gazepoint_audit_report_section(): Create a Gazepoint audit-report section

Experimental statistical extensions

Experimental helpers for conservative time-course inference on Gazepoint-derived signals. Advanced functions in this section include guardrails and export helpers; they should not be interpreted as validated advanced inferential engines.

prepare_gazepoint_timecourse_test_data(): Prepare Gazepoint time-course data for cluster permutation testing
run_gazepoint_cluster_permutation(): Run a conservative cluster-based permutation test for Gazepoint time courses
summarize_gazepoint_time_clusters(): Summarize Gazepoint time clusters
plot_gazepoint_cluster_permutation(): Plot Gazepoint cluster permutation results
audit_gazepoint_timecourse_grid(): Audit the participant-condition-time grid for cluster-permutation analysis
diagnose_gazepoint_cluster_design(): Diagnose whether a design is suitable for cluster-permutation analysis
plot_gazepoint_cluster_null_distribution(): Plot the cluster-permutation null distribution
report_gazepoint_cluster_permutation(): Create conservative reporting text for a cluster-permutation result
run_gazepoint_cluster_threshold_sensitivity(): Run threshold-sensitivity checks for cluster-permutation analysis
simulate_gazepoint_cluster_timecourse_data(): Simulate two-condition time-course data for cluster-permutation examples
export_gazepoint_cluster_results(): Export cluster-permutation result components
run_gazepoint_cluster_permutation_anova(): Guardrail for cluster-permutation ANOVA
run_gazepoint_cluster_permutation_lmer(): Guardrail for mixed-model cluster permutation
run_gazepoint_tfce(): Guardrail for threshold-free cluster enhancement
run_gazepoint_multidimensional_cluster_permutation(): Guardrail for multidimensional cluster permutation
estimate_gazepoint_cluster_onset(): Guardrail against exact cluster-onset estimation
estimate_gazepoint_cluster_offset(): Guardrail against exact cluster-offset estimation
run_gazepoint_cluster_permutation_covariate_adjusted(): Guardrail for covariate-adjusted cluster permutation
run_gazepoint_cluster_permutation_parallel(): Guardrail for high-performance cluster permutation
export_gazepoint_mne_cluster_input(): Export time-course data for MNE cluster-permutation workflows
export_gazepoint_permuco_cluster_input(): Export time-course data for permuco cluster workflows
export_gazepoint_permutes_cluster_input(): Export time-course data for permutes cluster workflows

Data import, cleaning, and simulation

import_gazepoint_data(): Import Gazepoint export files from a session folder
impute_gazepoint_missing(): Impute missing values in Gazepoint signals
simulate_gazepoint_eye_data(): Simulate Gazepoint-style gaze and pupil data

Pupil, gaze, and fixation workflows

detect_gazepoint_pupil_blinks(): Detect blink intervals from Gazepoint pupil data
clean_gazepoint_pupil_signal(): Clean Gazepoint pupil signal
filter_gazepoint_gaze(): Filter implausible Gazepoint gaze samples
detect_gazepoint_fixations(): Detect fixations and saccades in Gazepoint gaze samples
detect_gazepoint_saccades(): Detect saccades in Gazepoint gaze samples
assign_gazepoint_aoi(): Assign Gazepoint coordinates to areas of interest
summarize_gazepoint_fixations(): Summarize Gazepoint fixation metrics

EDA, SCR, RR, and engagement indices

epoch_gazepoint_scr(): Epoch Gazepoint SCR/EDA data around events
normalize_gazepoint_scr(): Normalize Gazepoint SCR amplitudes
flag_gazepoint_rr_outliers(): Flag outlying Gazepoint RR/IBI intervals
compute_gazepoint_engagement_index(): Compute engagement-dial summary indices

Modeling, reports, and workflow pipelines

create_gazepoint_trial_regressors(): Create Gazepoint trial-level regressors for modeling
report_gazepoint_data_quality(): Report Gazepoint data quality
preprocess_gazepoint_all(): Preprocess all available Gazepoint channels

Toolbox-style and interoperability workflows

check_gazepoint_pyhrv_interval(): Check whether NN intervals are inside a plausible interval
combine_gazepoint_marker_channels_pspm_style(): Combine multiple Gazepoint marker channels PsPM-style
compare_gazepoint_pyhrv_psd_methods(): Compare pyHRV-style PSD methods
compute_gazepoint_pyhrv_ar_psd(): Compute pyHRV-style autoregressive PSD
compute_gazepoint_pyhrv_dfa(): Compute detrended fluctuation analysis
compute_gazepoint_pyhrv_frequency_domain(): Compute pyHRV-style frequency-domain summary
compute_gazepoint_pyhrv_heart_rate(): Compute heart rate from NN intervals
compute_gazepoint_pyhrv_hr_parameters(): Compute pyHRV-style heart-rate parameters
compute_gazepoint_pyhrv_lomb_psd(): Compute pyHRV-style Lomb PSD
compute_gazepoint_pyhrv_nn_diff(): Compute NN interval differences
compute_gazepoint_pyhrv_nn20(): Compute NN20 and pNN20
compute_gazepoint_pyhrv_nn50(): Compute NN50 and pNN50
compute_gazepoint_pyhrv_nni_differences_parameters(): Compute pyHRV-style NNI difference parameters
compute_gazepoint_pyhrv_nni_parameters(): Compute pyHRV-style NNI parameters
compute_gazepoint_pyhrv_nnxx(): Compute NNxx and pNNxx
compute_gazepoint_pyhrv_nonlinear(): Compute pyHRV-style nonlinear summary
compute_gazepoint_pyhrv_poincare(): Compute pyHRV-style Poincare measures
compute_gazepoint_pyhrv_psd_waterfall(): Compute pyHRV-style PSD waterfall over segments
compute_gazepoint_pyhrv_rmssd(): Compute RMSSD
compute_gazepoint_pyhrv_sample_entropy(): Compute sample entropy
compute_gazepoint_pyhrv_sdann(): Compute SDANN
compute_gazepoint_pyhrv_sdnn(): Compute SDNN
compute_gazepoint_pyhrv_sdnn_index(): Compute SDNN index
compute_gazepoint_pyhrv_sdsd(): Compute SDSD
compute_gazepoint_pyhrv_time_domain(): Compute pyHRV-style time-domain summary
compute_gazepoint_pyhrv_tinn(): Compute TINN
compute_gazepoint_pyhrv_triangular_index(): Compute triangular index
compute_gazepoint_pyhrv_welch_psd(): Compute pyHRV-style Welch PSD
create_gazepoint_heartpy_report(): Create HeartPy-style report tables for Gazepoint pulse/PPG data
create_gazepoint_pspm_glm_design(): Create PsPM-style convolution GLM design matrix
create_gazepoint_pyhrv_time_vector(): Create a time vector from NN intervals
export_gazepoint_biometrics_report_bundle(): Export a Gazepoint biometrics report bundle
export_gazepoint_heartpy_input(): Export Gazepoint pulse/PPG data for HeartPy-style workflows
export_gazepoint_pspm_model_estimates(): Export PsPM-style Gazepoint model estimates
export_gazepoint_pyhrv_results(): Export pyHRV-style results
export_gazepoint_rhrv_input(): Export Gazepoint IBI data for RHRV-style workflows
extract_gazepoint_eda_events_biosppy_style(): Extract BioSPPy-style EDA events from Gazepoint GSR/EDA data
extract_gazepoint_markerinfo_pspm_style(): Extract PsPM-style marker information from Gazepoint biometrics data
extract_gazepoint_pyhrv_nn_intervals(): Extract NN intervals from peak timestamps
extract_gazepoint_segments_pspm_style(): Extract event-centred Gazepoint segments PsPM-style
import_gazepoint_pyhrv_results(): Import pyHRV-style results
merge_gazepoint_recordings_pspm_style(): Merge multiple Gazepoint recordings PsPM-style
optimize_gazepoint_cvxeda_tau(): Optimise subject-specific cvxEDA slow time constant
plot_gazepoint_pyhrv_hr_heatplot(): Plot pyHRV-style heart-rate heatplot
plot_gazepoint_pyhrv_radar_chart(): Plot pyHRV-style radar chart
plot_gazepoint_pyhrv_tachogram(): Plot pyHRV-style tachogram
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_heartpy_input(): Prepare Gazepoint pulse/PPG data for HeartPy-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_pyhrv_input(): Prepare Gazepoint intervals for Python pyHRV
prepare_gazepoint_scr_hurdle_model_data(): Prepare Gazepoint SCR hurdle-model data
preprocess_gazepoint_scr_pspm_style(): Preprocess Gazepoint SCR/GSR data PsPM-style
process_gazepoint_ppg_heartpy_style(): Run a full HeartPy-style Gazepoint pulse/PPG process
run_gazepoint_biosppy_eda(): Run BioSPPy-style Gazepoint EDA processing
run_gazepoint_biosppy_ppg(): Run BioSPPy-style Gazepoint PPG/BVP processing
prepare_gazepoint_biosppy_input(): Prepare Gazepoint signals for Python BioSPPy
prepare_gazepoint_eyetrackingr_input(): Prepare Gazepoint data for eyetrackingR
prepare_gazepoint_pupillometryr_input(): Prepare Gazepoint pupil data for PupillometryR
prepare_gazepoint_gazer_input(): Prepare Gazepoint data for gazeR
prepare_gazepoint_mne_events(): Prepare Gazepoint events for MNE-Python
prepare_gazepoint_mne_input(): Prepare Gazepoint channels for an MNE RawArray
align_gazepoint_to_eeg(): Align Gazepoint timestamps to an EEG clock
sync_gazepoint_signals_via_lsl(): Synchronize imported Gazepoint LSL/XDF streams
create_gazepoint_eye_methods_text(): Create reproducible Gazepoint eye-tracking methods text
session_info_gazepoint(): Record gpbiometrics session information
validate_gazepoint_gaze(): Validate Gazepoint gaze data
summarise_gazepoint_fixations_by_aoi(): Summarise Gazepoint fixations by area of interest
summarize_gazepoint_fixations_by_aoi(): American-spelling alias for fixation summaries by AOI
prepare_gazepoint_bids_eye(): Prepare an eye-tracking-only BIDS export
prepare_gazepoint_bids_physio(): Prepare a physiology-only BIDS export
write_gazepoint_mne_fif(): Write prepared Gazepoint data to an MNE FIF file
estimate_gazepoint_lsl_clock_offsets(): Estimate live LSL clock offsets through pylsl
run_gazepoint_heartpy_crosscheck(): Run a Gazepoint pulse/PPG cross-check against HeartPy when available
run_gazepoint_neurokit_eda_crosscheck(): Optionally run a NeuroKit2 EDA cross-check
run_gazepoint_pyhrv_style(): Run pyHRV-style Gazepoint HRV analysis
segment_gazepoint_pyhrv_nni(): Segment NN intervals into time windows
split_gazepoint_sessions_pspm_style(): Split Gazepoint recordings into PsPM-style sessions
trim_gazepoint_biometrics_pspm_style(): Trim Gazepoint biometrics data PsPM-style

Quality control, diagnostics, and plots

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
check_gazepoint_plot_contract(): Check a Gazepoint plot return contract
check_gazepoint_ppg_binary_quality(): Check binary quality of Gazepoint pulse/PPG analysis results
create_gazepoint_biometrics_report(): Create a Gazepoint Biometrics report
create_gazepoint_biometrics_report_tables(): Create Gazepoint Biometrics report tables
create_gazepoint_heartpy_report(): Create HeartPy-style report tables for Gazepoint pulse/PPG data
diagnose_gazepoint_biometrics_workflow(): Diagnose a Gazepoint Biometrics workflow
export_gazepoint_biometrics_report_bundle(): Export a Gazepoint biometrics report bundle
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_gazepoint_rr_outliers(): Flag outlying Gazepoint RR/IBI intervals
flag_kleckner_eda_artifacts(): Flag EDA artifacts using transparent Kleckner-style heuristics
get_gazepoint_plot_data(): Extract stored plot data
get_gazepoint_plot_settings(): Extract stored plot settings
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_ppg_breathing(): Plot breathing-rate spectrum from Gazepoint RR/IBI intervals
plot_gazepoint_ppg_peak_detection(): Plot Gazepoint pulse/PPG peak detection results
plot_gazepoint_ppg_poincare(): Plot a Poincare plot from Gazepoint pulse/PPG peaks or RR intervals
plot_gazepoint_ppg_segmentwise(): Plot segmentwise Gazepoint pulse/PPG measures
plot_gazepoint_pyhrv_hr_heatplot(): Plot pyHRV-style heart-rate heatplot
plot_gazepoint_pyhrv_radar_chart(): Plot pyHRV-style radar chart
plot_gazepoint_pyhrv_tachogram(): Plot pyHRV-style tachogram
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
recommend_gazepoint_biometric_exclusions(): Recommend Gazepoint biometric exclusions
report_gazepoint_data_quality(): Report Gazepoint data quality
standardise_gazepoint_plot_contract(): Standardise a Gazepoint plot return contract
standardize_gazepoint_plot_contracts(): Standardize Gazepoint plot return contracts
write_gazepoint_biometrics_report_tables(): Write Gazepoint Biometrics report tables

Other exported helpers

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
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
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
clean_gazepoint_rr_intervals(): Clean RR or IBI intervals using HeartPy-style methods
compare_gazepoint_hr_ibi_consistency(): Compare Gazepoint HR and IBI-derived heart rate
compute_gazepoint_ppg_frequency_measures(): Compute Gazepoint pulse/PPG frequency-domain measures
compute_gazepoint_ppg_measures(): Compute HeartPy-style pulse/PPG measures
compute_gazepoint_signal_band_power(): Compute signal band power
compute_gazepoint_signal_correlation(): Compute correlation between two Gazepoint signals
compute_gazepoint_signal_phase_locking(): Compute phase-locking value between two signals
compute_gazepoint_signal_power_spectrum(): Compute signal power spectrum
convert_gazepoint_gsr_to_conductance(): Convert Gazepoint GSR resistance to conductance
correct_gazepoint_eda_temperature(): Correct EDA for ambient or body temperature
correct_gazepoint_ppg_hampel(): Apply Hampel-style correction to raw pulse/PPG data
correct_gazepoint_rri_artifacts_local(): Correct local RRI/IBI artifacts
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_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_ppg_onsets(): Detect BioSPPy-style PPG pulse onsets
detect_gazepoint_ppg_peaks(): Detect HeartPy-style pulse/PPG peaks in Gazepoint exports
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
detrend_gazepoint_rri_window(): Detrend RRI/IBI intervals in windows
enhance_gazepoint_ppg_peaks(): Enhance pulse/PPG peaks using repeated local baseline removal
estimate_gazepoint_breathing_rate_from_ibi(): Estimate breathing rate from RR/IBI frequency content
estimate_gazepoint_eda_recovery_times(): Estimate BioSPPy-style EDA recovery times
estimate_gazepoint_samplerate_datetime(): Estimate sampling rate from datetime stamps
estimate_gazepoint_samplerate_mstimer(): Estimate sampling rate from a millisecond timer
estimate_gazepoint_signal_lag(): Estimate lag between two Gazepoint biometric signals
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_ppg_templates(): Extract BioSPPy-style PPG pulse templates
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
filter_gazepoint_ppg_butterworth(): Apply a second-order Butterworth-style low-pass filter to pulse/PPG data
filter_gazepoint_ppg_signal(): Apply generic filtering to Gazepoint pulse/PPG data
fit_gazepoint_convolution_glm(): Fit PsPM-style event-related convolution GLM
flip_gazepoint_ppg_signal(): Flip a Gazepoint pulse/PPG signal
format_gazepoint_biometrics_feature_inventory(): Format the gpbiometrics feature inventory for users
fuse_gazepoint_respiration_kalman(): Fuse respiration proxies using a Kalman filter
import_gazepoint_biometric_folder(): Import a folder of Gazepoint Biometrics exports
import_gazepoint_biometrics(): Import a Gazepoint Biometrics export
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_hr_point_process(): Model heartbeats as a dependency-light point process
model_gazepoint_hrv_ipfm(): Model heartbeat timing using an IPFM-style impulse train
process_gazepoint_ppg_segmentwise(): Process Gazepoint pulse/PPG data in overlapping HeartPy-style segments
reconstruct_gazepoint_ppg_clipping(): Detect and reconstruct clipped pulse/PPG samples
regress_gazepoint_pupil_luminance(): Regress stimulus luminance from pupil diameter
reject_gazepoint_ppg_peaks(): Reject implausible pulse/PPG peaks using RR-interval thresholds
remove_gazepoint_ppg_baseline_wander(): Remove baseline wander from Gazepoint pulse/PPG data
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_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
scale_gazepoint_ppg_sections(): Scale Gazepoint pulse/PPG signals within sections
scale_gazepoint_ppg_signal(): Scale a Gazepoint pulse/PPG signal
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
smooth_gazepoint_ppg_signal(): Smooth a Gazepoint pulse/PPG signal
standardise_gazepoint_adaptive_ema() standardize_gazepoint_adaptive_ema(): Adaptive EMA normalization for non-stationary EDA
standardise_gazepoint_biometric_names(): Standardise Gazepoint biometric column names
standardize_gazepoint_biometrics_within_unit() standardise_gazepoint_biometrics_within_unit(): Standardize biometric signals within participant or other analysis units
standardise_gazepoint_range_correction() standardize_gazepoint_range_correction(): Standardise SCR or SCL using within-participant range correction
standardise_gazepoint_zscore() standardize_gazepoint_zscore(): Standardise SCR or SCL using intra-individual z-scoring
summarise_gazepoint_aoi_biometrics(): Summarise biometric signals by AOI
summarise_gazepoint_biometric_validity(): Summarise validity and availability of Gazepoint biometric signals
summarise_gazepoint_biometrics_feature_inventory(): Summarise the formatted gpbiometrics feature inventory
summarise_gazepoint_biometrics_workflow(): Summarise a Gazepoint Biometrics workflow object
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_hr_windows(): Summarise Gazepoint heart-rate windows
summarise_gazepoint_hrv_features(): Summarise time-domain HRV features from Gazepoint IBI/RR intervals
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

Remaining roadmap helpers

Final roadmap helpers for SCR recovery, pupil events, tracking, PPG quality, event alignment, validation, and reproducibility metadata.

compute_gazepoint_scr_habituation(): Compute SCR habituation across trials
summarize_gazepoint_scr_recovery(): Summarize SCR recovery around events
summarize_gazepoint_pupil_events(): Summarize event-related pupil responses
summarize_gazepoint_tracking(): Summarize Gazepoint tracking validity
audit_gazepoint_pupil_luminance(): Audit pupil-luminance confounding
extract_gazepoint_ppg_morphology(): Extract simple PPG pulse morphology metrics
flag_gazepoint_ppg_quality(): Flag segment-level PPG quality
import_gazepoint_event_log(): Import a generic Gazepoint-compatible event log
match_gazepoint_events_to_biometrics(): Match events to biometric windows
assert_gazepoint_columns(): Assert that required Gazepoint columns are present
gpbiometrics_info(): Print gpbiometrics reproducibility information

Exact roadmap backlog helpers

Schema standardization, export-schema audit, multimodal simulation, sampling and sync QC, AOI/scanpath summaries, manifests, PPG template quality, and HRV wavelet-style summaries.

standardize_gazepoint_column_names(): Standardize common Gazepoint column names
audit_gazepoint_export_schema(): Audit a Gazepoint export schema
simulate_gazepoint_multimodal_data(): Simulate a small multimodal Gazepoint-style dataset
assess_gazepoint_sampling_irregularity(): Assess sampling irregularity in Gazepoint time series
diagnose_gazepoint_sync_drift(): Diagnose synchronization drift between two time bases
summarize_gazepoint_aoi_dwell(): Summarize AOI dwell time and entries
summarize_gazepoint_scanpath_metrics(): Summarize simple scanpath metrics
create_gazepoint_analysis_manifest(): Create a Gazepoint analysis manifest
compute_gazepoint_ppg_template_similarity(): Compute PPG beat-template similarity
compute_gazepoint_hrv_wavelet_psd(): Compute a simple Haar-style HRV wavelet PSD summary

Front-door audit and missingness

Preflight audit, missingness/gap summaries, and generic signal detrending for messy Gazepoint exports.

audit_gazepoint_biometrics_file() print(<gazepoint_biometrics_audit>) summary(<gazepoint_biometrics_audit>): Audit a Gazepoint biometrics file before analysis
summarize_gazepoint_missingness(): Summarize missingness and gap structure in Gazepoint data
detrend_gazepoint_signal(): Detrend a Gazepoint signal

Alignment, AOI, event-locked synthesis, and dashboard

Event-based stream alignment, AOI time-course preparation, multimodal event-locked summaries, and quality-dashboard exports.

align_gazepoint_streams_by_events(): Align two Gazepoint streams using matched event markers
build_gazepoint_aoi_timecourse(): Build a tidy AOI time course
summarize_gazepoint_eventlocked_multimodal(): Summarize event-locked multimodal Gazepoint data
create_gazepoint_quality_dashboard(): Create a compact Gazepoint quality dashboard object

HRV segment QC, SCR latency metrics, multimodal signal-lag screening, and exploratory PPG-derived respiration estimation.

flag_gazepoint_hrv_segments(): Flag HRV/RR segments for quality review
compute_gazepoint_scr_latency(): Compute SCR latency metrics from event-locked EDA
compute_gazepoint_signal_lag_matrix(): Compute a pairwise signal-lag matrix
estimate_gazepoint_respiration_from_ppg(): Estimate respiration rate from PPG

Bootstrap condition comparisons

Lightweight percentile-bootstrap comparisons for Gazepoint-derived outcomes.

compare_gazepoint_conditions_bootstrap(): Bootstrap condition comparisons for Gazepoint-derived outcomes

Roadmap compatibility aliases

Short-name aliases and lightweight wrappers for roadmap discoverability.

standardize_gazepoint_columns(): Standardize Gazepoint column names
validate_gazepoint_format(): Validate a Gazepoint-format data frame
clean_gazepoint_pupil(): Clean Gazepoint pupil data
interpolate_gazepoint_pupil_blinks(): Interpolate Gazepoint pupil blink/dropout spans
respiration_from_ppg(): Estimate respiration from PPG
prepare_gazepoint_mixed_model_data(): Prepare Gazepoint data for mixed-model analysis

Export-folder intelligence

Helpers for profiling Gazepoint export folders before full workflow execution.

profile_gazepoint_export_folder(): Profile a Gazepoint export folder before analysis
compare_gazepoint_export_profiles(): Compare Gazepoint export-folder profiles
write_gazepoint_export_profile(): Write a Gazepoint export-folder profile to disk
plot_gazepoint_export_profile(): Plot a Gazepoint export-folder profile

Analysis decision logs

Helpers for recording exclusions, preprocessing choices, thresholds, model settings, cluster-permutation settings, and reviewer-facing workflow decisions.

create_gazepoint_analysis_decision_log(): Create a Gazepoint analysis decision log
add_gazepoint_decision(): Add a decision to a Gazepoint analysis decision log
summarise_gazepoint_decision_log(): Summarise a Gazepoint analysis decision log
write_gazepoint_decision_log(): Write a Gazepoint analysis decision log to disk

Design and event coverage audits

Helpers for checking participant, trial, condition, session, and event coverage before modelling, event-window analysis, or time-course workflows.

audit_gazepoint_experiment_design(): Audit Gazepoint experiment design structure
audit_gazepoint_event_coverage(): Audit Gazepoint event coverage
audit_gazepoint_condition_balance(): Audit Gazepoint condition balance
plot_gazepoint_design_coverage(): Plot Gazepoint design and event-coverage audits

Pupil quality-control and metadata reporting

Helpers for conservative pupil-dropout detection, pupil smoothing, missingness visualization, and metadata validation.

detect_gazepoint_blinks(): Detect likely blink or pupil-dropout samples
smooth_gazepoint_pupil(): Smooth Gazepoint pupil columns
plot_gazepoint_missingness(): Plot missingness across Gazepoint signal columns
validate_gazepoint_metadata(): Validate Gazepoint metadata and required columns
compute_gazepoint_signal_quality(): Compute transparent signal-quality indicators
classify_gazepoint_signal_quality(): Classify signal-quality rows using transparent threshold rules
summarize_gazepoint_signal_quality(): Summarize signal-quality indicators
plot_gazepoint_signal_quality(): Plot signal-quality diagnostics
simulate_gazepoint_artifact(): Inject simple synthetic artifacts into signal columns
generate_gazepoint_manifest(): Generate a reproducibility manifest
create_gazepoint_dictionary(): Create a simple Gazepoint data dictionary
anonymize_gazepoint_data(): Pseudonymize participant or record identifiers
detect_gazepoint_nonwear(): Detect long signal-dropout intervals
summarize_gazepoint_nonwear(): Summarize signal-dropout detections
filter_gazepoint_signal(): Apply lightweight preprocessing to signal columns
downsample_gazepoint_data(): Downsample Gazepoint time-series data
upsample_gazepoint_data(): Regularize signal data to an evenly spaced time grid
audit_gazepoint_beats(): Audit beat or IBI sequences
correct_gazepoint_beats(): Apply conservative rule-based IBI corrections
summarize_gazepoint_beat_corrections(): Summarize beat-correction logs
compute_gazepoint_quality_index(): Compute a heuristic QC quality index
audit_gazepoint_session_comparability(): Audit session comparability across QC metrics
summarize_gazepoint_qc_overview(): Summarize QC overview tables
create_gazepoint_preregistration_checklist(): Create a Gazepoint preregistration checklist
audit_gazepoint_preregistration_consistency(): Audit preregistration checklist consistency
summarize_gazepoint_preregistration_readiness(): Summarize preregistration readiness
summarize_gazepoint_export_inventory(): Summarize Gazepoint export inventory
audit_gazepoint_dataset_structure(): Audit Gazepoint dataset structure
create_gazepoint_sidecar_template(): Create a Gazepoint sidecar metadata template
create_gazepoint_pipeline_map(): Create a Gazepoint pipeline map
audit_gazepoint_pipeline_steps(): Audit Gazepoint pipeline steps
export_gazepoint_pipeline_dot(): Export a Gazepoint pipeline map as DOT text
create_gazepoint_audit_index(): Create a Gazepoint audit index
summarize_gazepoint_audit_trail(): Summarize a Gazepoint audit trail
export_gazepoint_audit_trail_markdown(): Export a Gazepoint audit trail as Markdown
audit_gazepoint_release_readiness(): Audit gpbiometrics release readiness
summarize_gazepoint_feature_coverage(): Summarize gpbiometrics feature coverage
create_gazepoint_release_checklist(): Create a gpbiometrics release checklist
check_gazepoint_bids(): Check a Gazepoint dataset for a BIDS-like layout
export_gazepoint_to_bids(): Export Gazepoint eye-tracking data to BIDS
pipeline_comparison_dashboard(): Create a static Gazepoint pipeline comparison dashboard

Interoperability testing and compatibility

Audit external bridge contracts, installed versions, runtime availability, and compatibility-report metadata.

gazepoint_interoperability_manifest(): Define gpbiometrics interoperability targets
audit_gazepoint_interoperability_versions(): Audit external interoperability versions
write_gazepoint_interoperability_audit(): Write an interoperability audit

Private real-data smoke testing

Run aggregate workflow checks on private exports without retaining source paths, filenames, participant identifiers, or raw data.

run_gazepoint_real_data_smoke(): Run privacy-safe smoke tests on private Gazepoint exports
audit_gazepoint_smoke_privacy(): Audit a smoke-test result for private information
write_gazepoint_real_data_smoke(): Write privacy-safe real-data smoke-test summaries