Interpreting Glucose Data from Continuous Glucose Monitors

Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) . Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.


Reference manual

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3.1.0 by Irina Gaynanova, a month ago

Browse source code at

Authors: Steve Broll [aut] , David Buchanan [aut] , Elizabeth Chun [aut] , John Muschelli [aut] , Nathaniel Fernandes [aut] , Jung Hoon Seo [aut] , Johnathan Shih [aut] , Jacek Urbanek [aut] , John Schwenck [aut] , Marielle Hicban [ctb] , Mary Martin [ctb] , Pratik Patel [ctb] , Meyappan Ashok [ctb] , Nhan Nguyen [ctb] , Irina Gaynanova [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports caTools, dplyr, ggplot2, ggpubr, gridExtra, hms, lubridate, magrittr, patchwork, scales, shiny, stats, tibble, tidyr, utils, zoo, plotly, gtable, grid

Suggests knitr, rmarkdown, testthat

See at CRAN