Link to bioRxiv paper:

http://biorxiv.org/cgi/content/short/2020.09.28.310482v1?rss=1

Authors: Broll, S., Urbanek, J., Buchanan, D., Chun, E., Muschelli, J., Punjabi, N., Gaynanova, I.

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.

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