Interpreting blood GLUcose data with R package iglu

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

doi:10.1101/2020.09.28.310482

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bioRxiv · 10.1101/2020.09.28.310482

Interpreting blood GLUcose data with R package iglu

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

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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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Broll, S., Urbanek, J., Buchanan, D., Chun, E., Muschelli, J., Punjabi, N., Gaynanova, I.. 2020-09-29. Interpreting blood GLUcose data with R package iglu. https://doi.org/10.1101/2020.09.28.310482

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