Package index
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CGMS2DayByDay()
- Interpolate glucose value on an equally spaced grid from day to day
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above_percent()
- Calculate percentage of values above target thresholds
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active_percent()
- Calculate percentage of time CGM was active
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adrr()
- Calculate average daily risk range (ADRR)
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agp()
- Display Ambulatory Glucose Profile (AGP) statistics for selected subject
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agp_metrics()
- Calculate metrics for the Ambulatory Glucose Profile (AGP)
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all_metrics()
- Calculate all metrics in iglu
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auc()
- Calculate Area Under Curve AUC
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below_percent()
- Calculate percentage below targeted values
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calculate_sleep_wake()
- Calculate metrics for values inside and/or outside a specified time range.
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cogi()
- Calculate Continuous Glucose Monitoring Index (COGI) values
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conga()
- Continuous Overall Net Glycemic Action (CONGA)
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cv_glu()
- Calculate Coefficient of Variation (CV) of glucose levels
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cv_measures()
- Calculate Coefficient of Variation subtypes
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ea1c()
- Calculate eA1C
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epicalc_profile()
- Display Episode Calculation statistics for selected subject
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episode_calculation()
- Calculates Hypo/Hyperglycemic episodes with summary statistics
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example_data_1_subject
- Example CGM data for one subject with Type II diabetes
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example_data_5_subject
- Example CGM data for 5 subjects with Type II diabetes
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example_data_hall
- Example data from Hall et al. (2018)
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example_meals_hall
- Example mealtimes data from Hall et al. (2018)
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gmi()
- Calculate GMI
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grade()
- Calculate mean GRADE score
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grade_eugly()
- Percentage of GRADE score attributable to target range
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grade_hyper()
- Percentage of GRADE score attributable to hyperglycemia
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grade_hypo()
- Percentage of GRADE score attributable to hypoglycemia
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gri()
- Calculate Glycemia Risk Index (GRI)
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gvp()
- Calculate Glucose Variability Percentage (GVP)
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hbgi()
- Calculate High Blood Glucose Index (HBGI)
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hist_roc()
- Plot histogram of Rate of Change values (ROC)
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hyper_index()
- Calculate Hyperglycemia Index
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hypo_index()
- Calculate Hypoglycemia Index
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igc()
- Calculate Index of Glycemic Control
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iglu_shiny()
- Run IGLU Shiny App
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in_range_percent()
- Calculate percentage in targeted value ranges
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iqr_glu()
- Calculate glucose level iqr
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j_index()
- Calculate J-index
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lbgi()
- Calculate Low Blood Glucose Index (LBGI)
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m_value()
- Calculate the M-value
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mad_glu()
- Calculate Median Absolute Deviation (MAD)
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mag()
- Calculate the Mean Absolute Glucose (MAG)
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mage()
- Calculate Mean Amplitude of Glycemic Excursions
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mage_ma_single()
- Calculates Mean Amplitude of Glycemic Excursions (see "mage")
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meal_metrics()
- Calculate Meal Metrics
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mean_glu()
- Calculate mean glucose level
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median_glu()
- Calculate median glucose level
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metrics_heatmap()
- Create a heatmap of metric values by subject based on hierarchical clustering order
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modd()
- Calculate mean difference between glucose values obtained at the same time of day (MODD)
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optimized_iglu_functions()
- Optimized Calculations of Time Dependent iglu Metrics
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pgs()
- Calculate Personal Glycemic State (PGS)
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plot_agp()
- Plot Ambulatory Glucose Profile (AGP) modal day
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plot_daily()
- Plot daily glucose profiles
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plot_glu()
- Plot time series and lasagna plots of glucose measurements
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plot_lasagna()
- Lasagna plot of glucose values for multiple subjects
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plot_lasagna_1subject()
- Lasagna plot of glucose values for 1 subject aligned across times of day
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plot_meals()
- Plot meal metrics visualization
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plot_ranges()
- Plot Time in Ranges as a bar plot
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plot_roc()
- Plot time series of glucose colored by rate of change
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process_data()
- Data Pre-Processor
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quantile_glu()
- Calculate glucose level quantiles
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range_glu()
- Calculate glucose level range
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read_raw_data()
- Read raw data from a variety of common sensors.
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roc()
- Calculate the Rate of Change at each time point (ROC)
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sd_glu()
- Calculate sd glucose level
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sd_measures()
- Calculate SD subtypes
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sd_roc()
- Calculate the standard deviation of the rate of change
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summary_glu()
- Calculate summary glucose level