# Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend

## Documentation for package ‘cgmguru’ version 1.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

conga_rcpp | Rcpp CONGA Calculation
detect_all_events | Detect All Glycemic Events
detect_between_maxima | Detect Events Between Maxima
detect_hyperglycemic_events | Detect Hyperglycemic Events
detect_hypoglycemic_events | Detect Hypoglycemic Events
excursion | Calculate Glucose Excursions
find_local_maxima | Find Local Maxima in Glucose Time Series
find_max_after_hours | Find Maximum Glucose After Specified Hours
find_max_before_hours | Find Maximum Glucose Before Specified Hours
find_min_after_hours | Find Minimum Glucose After Specified Hours
find_min_before_hours | Find Minimum Glucose Before Specified Hours
find_new_maxima | Find New Maxima Around Grid Points
grid | GRID Algorithm for Glycemic Event Detection
interpolate_cgm | Interpolate CGM Data
interval_down | Downsample 5-Minute CGM Data to 15-Minute Intervals
mage_rcpp | Rcpp MAGE Calculation
maxima_grid | Combined Maxima Detection and GRID Analysis
modd_rcpp | Rcpp MODD Calculation
mod_grid | Modified GRID Analysis
orderfast | Fast Ordering Function
rebound_events | Detect Rebound Hypoglycemia and Hyperglycemia
sensor_wear | Calculate Sensor Wear
start_finder | Find Start Points for Event Analysis
transform_df | Transform Dataframe for Analysis