Interpreting blood GLUcose data with R package iglu

Steven Broll, Jacek Urbanek, David Buchanan, Elizabeth Chun, John Muschelli, Naresh M. Punjabi, Irina Gaynanova

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu.

Original languageEnglish (US)
Article numbere0248560
JournalPloS one
Volume16
Issue number4 April
DOIs
StatePublished - Apr 2021
Externally publishedYes

ASJC Scopus subject areas

  • General

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