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PLoS ONEBioinformaticsPeer-reviewed journal article

Interpreting blood GLUcose data with R package iglu

Steve BrolliD, Jacek K. UrbanekiD, David Buchanan, Elizabeth ChuniD, John MuschelliiD, Naresh M. PunjabiiD, Irina GaynanovaiD

PDFDOIPreprintCode

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 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, 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.

Citations
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FWCI
9.14
Field percentile
top 1%

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