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The list of implemented metrics is summarized\nin Rodbard (2009) . Additional\nvisualization tools include time-series plots, lasagna plots\nand ambulatory glucose profile report.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "URL": "https://irinagain.github.io/iglu/", "BugReports": "https://github.com/irinagain/iglu/issues", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev\nzlib1g-dev", "Repository": "https://irinagain.r-universe.dev", "Date/Publication": "2025-07-12 18:13:26 UTC", "RemoteUrl": "https://github.com/irinagain/iglu", "RemoteRef": "HEAD", "RemoteSha": "33d72695d77900c62d4f408a748d821a08df9b0e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-08 07:00:31 UTC", "User": "root" }, "Author": "Elizabeth Chun [aut],\nSteve Broll [aut],\nDavid Buchanan [aut],\nJohn Muschelli [aut] (ORCID: ),\nNathaniel Fernandes [aut] (ORCID:\n),\nJung Hoon Seo [ctb],\nJohnathan Shih [ctb],\nJacek Urbanek [ctb],\nJohn Schwenck 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"3.3.2", "date": "2022-10-19" }, { "version": "3.4.2", "date": "2022-11-16" }, { "version": "3.5.0", "date": "2023-10-20" }, { "version": "4.0.0", "date": "2024-02-23" }, { "version": "4.1.6", "date": "2024-06-14" }, { "version": "4.2.0", "date": "2024-10-15" }, { "version": "4.2.2", "date": "2025-01-17" } ], "_exports": [ "%>%", "above_percent", "active_percent", "adrr", "agp", "agp_metrics", "all_metrics", "auc", "below_percent", "calculate_sleep_wake", "CGMS2DayByDay", "cogi", "conga", "cv_glu", "cv_measures", "ea1c", "epicalc_profile", "episode_calculation", "gmi", "grade", "grade_eugly", "grade_hyper", "grade_hypo", "gri", "gvp", "hbgi", "hist_roc", "hyper_index", "hypo_index", "igc", "iglu_shiny", "in_range_percent", "iqr_glu", "j_index", "lbgi", "m_value", "mad_glu", "mag", "mage", "mage_ma_single", "meal_metrics", "mean_glu", "median_glu", "metrics_heatmap", "modd", "optimized_iglu_functions", "pgs", "plot_agp", "plot_daily", "plot_glu", "plot_lasagna", "plot_lasagna_1subject", "plot_meals", "plot_ranges", "plot_roc", "process_data", "quantile_glu", "range_glu", "read_raw_data", "roc", "sd_glu", "sd_measures", "sd_roc", "summary_glu" ], "_datasets": [ { "name": "example_data_1_subject", "title": "Example CGM data for one subject with Type II diabetes", "object": "example_data_1_subject", "class": [ "data.frame" ], "fields": [ "id", "time", "gl" ], "rows": 2915, "table": true, "tojson": true }, { "name": "example_data_5_subject", "title": "Example CGM data for 5 subjects with Type II diabetes", "object": "example_data_5_subject", "class": [ "data.frame" ], "fields": [ "id", "time", "gl" ], "rows": 13866, "table": true, "tojson": true }, { "name": "example_data_hall", "title": "Example data from Hall et al. (2018)", "object": "example_data_hall", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "time", "gl", "diagnosis" ], "rows": 34890, "table": true, "tojson": true }, { "name": "example_meals_hall", "title": "Example mealtimes data from Hall et al. (2018)", "object": "example_meals_hall", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "id", "meal", "mealtime" ], "rows": 9, "table": true, "tojson": true } ], "_help": [ { "page": "above_percent", "title": "Calculate percentage of values above target thresholds", "topics": [ "above_percent" ] }, { "page": "active_percent", "title": "Calculate percentage of time CGM was active", "topics": [ "active_percent" ] }, { "page": "adrr", "title": "Calculate average daily risk range (ADRR)", "topics": [ "adrr" ] }, { "page": "agp", "title": "Display Ambulatory Glucose Profile (AGP) statistics for selected subject", "topics": [ "agp" ] }, { "page": "agp_metrics", "title": "Calculate metrics for the Ambulatory Glucose Profile (AGP)", "topics": [ "agp_metrics" ] }, { "page": "all_metrics", "title": "Calculate all metrics in iglu", "topics": [ "all_metrics" ] }, { "page": "auc", "title": "Calculate Area Under Curve AUC", "topics": [ "auc" ] }, { "page": "below_percent", "title": "Calculate percentage below targeted values", "topics": [ "below_percent" ] }, { "page": "calculate_sleep_wake", "title": "Calculate metrics for values inside and/or outside a specified time range.", "topics": [ "calculate_sleep_wake" ] }, { "page": "CGMS2DayByDay", "title": "Interpolate glucose value on an equally spaced grid from day to day", "topics": [ "CGMS2DayByDay" ] }, { "page": "cogi", "title": "Calculate Continuous Glucose Monitoring Index (COGI) values", "topics": [ "cogi" ] }, { "page": "conga", "title": "Continuous Overall Net Glycemic Action (CONGA)", "topics": [ "conga" ] }, { "page": "cv_glu", "title": "Calculate Coefficient of Variation (CV) of glucose levels", "topics": [ "cv_glu" ] }, { "page": "cv_measures", "title": "Calculate Coefficient of Variation subtypes", "topics": [ "cv_measures" ] }, { "page": "ea1c", "title": "Calculate eA1C", "topics": [ "ea1c" ] }, { "page": "epicalc_profile", "title": "Display Episode Calculation statistics for selected subject", "topics": [ "epicalc_profile" ] }, { "page": "episode_calculation", "title": "Calculates Hypo/Hyperglycemic episodes with summary statistics", "topics": [ "episode_calculation" ] }, { "page": "example_data_1_subject", "title": "Example CGM data for one subject with Type II diabetes", "topics": [ "example_data_1_subject" ] }, { "page": "example_data_5_subject", "title": "Example CGM data for 5 subjects with Type II diabetes", "topics": [ "example_data_5_subject" ] }, { "page": "example_data_hall", "title": "Example data from Hall et al. (2018)", "topics": [ "example_data_hall" ] }, { "page": "example_meals_hall", "title": "Example mealtimes data from Hall et al. (2018)", "topics": [ "example_meals_hall" ] }, { "page": "gmi", "title": "Calculate GMI", "topics": [ "gmi" ] }, { "page": "grade", "title": "Calculate mean GRADE score", "topics": [ "grade" ] }, { "page": "grade_eugly", "title": "Percentage of GRADE score attributable to target range", "topics": [ "grade_eugly" ] }, { "page": "grade_hyper", "title": "Percentage of GRADE score attributable to hyperglycemia", "topics": [ "grade_hyper" ] }, { "page": "grade_hypo", "title": "Percentage of GRADE score attributable to hypoglycemia", "topics": [ "grade_hypo" ] }, { "page": "gri", "title": "Calculate Glycemia Risk Index (GRI)", "topics": [ "gri" ] }, { "page": "gvp", "title": "Calculate Glucose Variability Percentage (GVP)", "topics": [ "gvp" ] }, { "page": "hbgi", "title": "Calculate High Blood Glucose Index (HBGI)", "topics": [ "hbgi" ] }, { "page": "hist_roc", "title": "Plot histogram of Rate of Change values (ROC)", "topics": [ "hist_roc" ] }, { "page": "hyper_index", "title": "Calculate Hyperglycemia Index", "topics": [ "hyper_index" ] }, { "page": "hypo_index", "title": "Calculate Hypoglycemia Index", "topics": [ "hypo_index" ] }, { "page": "igc", "title": "Calculate Index of Glycemic Control", "topics": [ "igc" ] }, { "page": "iglu_shiny", "title": "Run IGLU Shiny App", "topics": [ "iglu_shiny" ] }, { "page": "in_range_percent", "title": "Calculate percentage in targeted value ranges", "topics": [ "in_range_percent" ] }, { "page": "iqr_glu", "title": "Calculate glucose level iqr", "topics": [ "iqr_glu" ] }, { "page": "j_index", "title": "Calculate J-index", "topics": [ "j_index" ] }, { "page": "lbgi", "title": "Calculate Low Blood Glucose Index (LBGI)", "topics": [ "lbgi" ] }, { "page": "m_value", "title": "Calculate the M-value", "topics": [ "m_value" ] }, { "page": "mad_glu", "title": "Calculate Median Absolute Deviation (MAD)", "topics": [ "mad_glu" ] }, { "page": "mag", "title": "Calculate the Mean Absolute Glucose (MAG)", "topics": [ "mag" ] }, { "page": "mage", "title": "Calculate Mean Amplitude of Glycemic Excursions", "topics": [ "mage" ] }, { "page": "mage_ma_single", "title": "Calculates Mean Amplitude of Glycemic Excursions (see \"mage\")", "topics": [ "mage_ma_single" ] }, { "page": "meal_metrics", "title": "Calculate Meal Metrics", "topics": [ "meal_metrics" ] }, { "page": "mean_glu", "title": "Calculate mean glucose level", "topics": [ "mean_glu" ] }, { "page": "median_glu", "title": "Calculate median glucose level", "topics": [ "median_glu" ] }, { "page": "metrics_heatmap", "title": "Create a heatmap of metric values by subject based on hierarchical clustering order", "topics": [ "metrics_heatmap" ] }, { "page": "modd", "title": "Calculate mean difference between glucose values obtained at the same time of day (MODD)", "topics": [ "modd" ] }, { "page": "optimized_iglu_functions", "title": "Optimized Calculations of Time Dependent iglu Metrics", "topics": [ "optimized_iglu_functions" ] }, { "page": "pgs", "title": "Calculate Personal Glycemic State (PGS)", "topics": [ "pgs" ] }, { "page": "plot_agp", "title": "Plot Ambulatory Glucose Profile (AGP) modal day", "topics": [ "plot_agp" ] }, { "page": "plot_daily", "title": "Plot daily glucose profiles", "topics": [ "plot_daily" ] }, { "page": "plot_glu", "title": "Plot time series and lasagna plots of glucose measurements", "topics": [ "plot_glu" ] }, { "page": "plot_lasagna", "title": "Lasagna plot of glucose values for multiple subjects", "topics": [ "plot_lasagna" ] }, { "page": "plot_lasagna_1subject", "title": "Lasagna plot of glucose values for 1 subject aligned across times of day", "topics": [ "plot_lasagna_1subject" ] }, { "page": "plot_meals", "title": "Plot meal metrics visualization", "topics": [ "plot_meals" ] }, { "page": "plot_ranges", "title": "Plot Time in Ranges as a bar plot", "topics": [ "plot_ranges" ] }, { "page": "plot_roc", "title": "Plot time series of glucose colored by rate of change", "topics": [ "plot_roc" ] }, { "page": 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