iglu: 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) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series and lasagna plots.

Version: 2.0.1
Depends: R (≥ 3.1.0)
Imports: caTools, scales, stats, ggplot2, lubridate, shiny, dplyr, magrittr, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2020-09-15
Author: Steve Broll [aut], Jacek Urbanek [aut], David Buchanan [aut], Elizabeth Chun [aut], John Muschelli [aut], John Schwenck [aut], Mary Martin [aut], Pratik Patel [aut], Marielle Hicban [aut], Nhan Nguyen [aut], Irina Gaynanova [aut, cre]
Maintainer: Irina Gaynanova <irinag at stat.tamu.edu>
License: GPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: iglu results

Downloads:

Reference manual: iglu.pdf
Vignettes: Working in iglu
List of metrics implemented in iglu
Package source: iglu_2.0.1.tar.gz
Windows binaries: r-devel: iglu_1.0.2.zip, r-release: iglu_1.0.2.zip, r-oldrel: iglu_2.0.1.zip
macOS binaries: r-release: iglu_2.0.1.tgz, r-oldrel: iglu_2.0.1.tgz
Old sources: iglu archive

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