Changes in version 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.

                 Changes in version 1.0.1 (2026-05-14)                  

  - 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.

                 Changes in version 1.0.0 (2026-05-14)                  

  - 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.

                 Changes in version 0.2.0 (2026-05-07)                  

  - 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.

                 Changes in version 0.1.0 (2025-11-05)                  

  - Initial CRAN submission.