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: 2.1.0
Depends: R (≥ 3.1.0)
Imports: caTools, dplyr, ggplot2, gridExtra, hms, lubridate, magrittr, patchwork, scales, shiny, stats, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2021-01-27
Author: Steve Broll [aut], Jacek Urbanek [aut], David Buchanan [aut], Elizabeth Chun [aut], John Muschelli ORCID iD [aut], John Schwenck [ctb], Mary Martin [ctb], Pratik Patel [ctb], Marielle Hicban [ctb], Nhan Nguyen [ctb], Irina Gaynanova ORCID iD [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_2.1.0.tar.gz
Windows binaries: r-devel: iglu_2.1.0.zip, r-release: iglu_2.1.0.zip, r-oldrel: iglu_2.1.0.zip
macOS binaries: r-release: iglu_2.1.0.tgz, r-oldrel: iglu_2.1.0.tgz
Old sources: iglu archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=iglu to link to this page.