cgmguru 1.0.1
- Renamed event count output columns to
total_episodes
for standalone hypo-/hyperglycemic event summaries and
detect_all_events() long-format event output.
- Updated documentation, examples, vignettes, and tests to use
total_episodes consistently.
cgmguru 1.0.0
- Added iglu-compatible event-grid interpolation to the event
detection pipeline, including automatic reading interval detection,
linear interpolation up to
inter_gap, gap masking, and
segment-wise event classification.
- Added
interpolate_cgm() as a standalone helper for
inspecting the interpolated event grid used by glycemic event
functions.
- Added
sensor_wear() and included observed-data sensor
wear in detect_all_events() summary output.
- Updated
detect_all_events() to calculate CGM summary
metrics on the interpolated event grid while returning event and summary
tables only.
- Added iglu parity and interpolation-focused tests for glycemic event
detection.
cgmguru 0.2.0
- Added preset event definitions with
type = "lv1",
"lv2", and "extended" to
detect_hyperglycemic_events() and
detect_hypoglycemic_events().
- Updated event boundary reporting so
end_glucose and
end_index identify the final dysglycemic reading
immediately before the confirmed recovery period begins.
- Renamed public output index columns to singular forms:
indices to index, start_indices
to start_index, end_indices to
end_index, max_indices to
max_index, and min_indices to
min_index.
- Added tests for pre-recovery event boundaries in extended
hyperglycemic events with 5-minute and 15-minute sampling
intervals.
cgmguru 0.1.0