Package index • carwatch

Data import and conversion

read_conversion_report(): Read a conversion-issue report CSV
read_manual_diary(): Read a manual measurement diary
read_raw_logs(): Read CARWatch raw log files
read_raw_logs_from_participant_dirs(): Read raw logs from one explicitly mapped folder per participant
read_saliva(): Read a BioPsyKit-style saliva CSV
read_study_manager_export(): Read a flat CARWatch Study Manager export
read_study_results(): Read canonical CARWatch Study Results
write_conversion_report(): Write an editable conversion report
write_study_results(): Write canonical CARWatch Study Results
convert_raw_logs(): Convert immutable CARWatch raw logs to canonical Study Results
extract_registration_schedule(): Extract the registration-aware protocol schedule
summarize_protocol(): Summarize the reconstructed study protocol
summarize_source_audit(): Compactly summarize a source audit

merge_saliva(): Merge laboratory saliva values into canonical Study Results
summarize_compliance(): Summarize sampling compliance
find_non_compliant_samples(): Identify non-compliant samples
drop_non_compliant_samples(): Remove non-compliant observations
find_sampling_anomalies(): Identify tube and day mismatches
compute_features(): Compute the standard CARWatch saliva response feature set
compute_features_from_carwatch(): Compute CARWatch saliva features using sample position and actual time
auc(): Compute area under the curve with respect to ground and increase
slope(): Compute the slope between two saliva samples
plot_compliance_overview(): Plot cohort sampling compliance
plot_saliva_curve(): Plot CARWatch-aligned saliva response curves
plot_sampling_timeline(): Plot an individual sampling timeline
plot_timing_deviation(): Plot signed sampling-time deviations

interactive_sampling_timeline(): Open an interactive participant-day sampling timeline
conversion_report_editor(): Edit conversion decisions interactively

generate_synthetic_study_data(): Generate deterministic local CARWatch example data

new_carwatch_results(): Construct canonical CARWatch results
as_study_days(): Extract the explicit day-level table
as_sample_events(): Extract the explicit sample-level table
new_sampling_compliance_checker(): Configure CARWatch sampling-compliance tolerances
initial_value(): Return the initial value in each saliva curve
max_value(): Compute the maximum measured value in each saliva curve
max_increase(): Compute maximum increase from the initial sample
mean_se(): Compute mean and standard error by sample
standard_features(): Summarize descriptive saliva features
saliva_feature_wide_to_long(): Convert wide saliva features to an analysis-friendly long table
sample_times_datetime_to_minute(): Convert clock-time sample columns to minutes from the first sample