Man pages for cgmguru
Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
| cgmguru-package | Advanced Continuous Glucose Monitoring Analysis and... |
| 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 |
| 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 |
