Interpreting Glucose Data from Continuous Glucose Monitors R package iglu version 4.2.2 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) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report. Software Depends: R (>= 3.5.0) Imports: caTools, dplyr, DT, ggplot2, ggpubr, gridExtra, hms, lubridate, magrittr, patchwork, pheatmap, scales, shiny, stats, tibble, tidyr, utils, zoo, gtable, grid, plotly Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Irina Gaynanova <irinagn@umich.edu> Comprehensive R Archive Network (CRAN) Elizabeth Chun [aut], Steve Broll [aut], David Buchanan [aut], John Muschelli [aut] (ORCID: <https://orcid.org/0000-0001-6469-1750>), Nathaniel Fernandes [aut] (ORCID: <https://orcid.org/0000-0003-0485-0726>), Jung Hoon Seo [ctb], Johnathan Shih [ctb], Jacek Urbanek [ctb], John Schwenck [ctb], Marielle Hicban [ctb], Mary Martin [ctb], Pratik Patel [ctb], Meyappan Ashok [ctb], Nhan Nguyen [ctb], Irina Gaynanova [aut, cre] (ORCID: <https://orcid.org/0000-0002-4116-0268>) GPL-2 2025-01-14 application/tgz https://CRAN.R-project.org/package=iglu doi:10.32614/CRAN.package.iglu