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cgmguru 1.1.0

• Updated maxima_grid() and detect_between_maxima() to include all subject IDs in episode_counts, returning 0 for subjects with no detected episodes or between-maxima results.
• Fixed detect_all_events() to summarize event counts segment-by-segment after interpolation gaps, preventing events that end at a gap boundary from being merged into the next segment.
• Updated extended hypoglycemia event detection to match iglu by requiring duration strictly greater than 120 minutes below 70 mg/dL, rather than greater than or equal to 120 minutes.
• Avoided materializing the standalone hypo-/hyperglycemic event grid when return_interpolated = FALSE, improving speed and memory use for calls that do not request the interpolated data.
• Optimized returned interpolated event grids by preallocating storage, avoiding repeated ID strings in C++ storage, and skipping unused grid metadata.
• Changed detect_all_events() summary glucose metrics to use original raw CGM values by default, with summary_metrics_source = "preprocessed" for the previous internal event-grid behavior.
• Rounded detect_all_events() CGM summary metrics and sensor wear outputs to two decimal places.
• Added sensor_wear_ndays to detect_all_events() to calculate sensor_wear_percent over a fixed retrospective window, such as the last 90 days; when omitted, sensor_wear_percent continues to use the original timestamp span.
• Updated sensor_wear() so the default calculation uses each subject’s original timestamp span. Supplying ndays now switches to the fixed-window calculation.
• Renamed detect_all_events() return tables to subject_summary and glycemic_event_summary.
• Renamed detect_all_events() summary columns for clarity: sensor_wear_percent, *_total_episodes, and avg_minutes_below_54_per_episode; CV is now reported as a percent.

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

• Initial CRAN submission.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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