Interpreting blood GLUcose data with R package iglu. Academic Article uri icon


  • 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

published proceedings

  • PLoS One

altmetric score

  • 7.9

author list (cited authors)

  • Broll, S., Urbanek, J., Buchanan, D., Chun, E., Muschelli, J., Punjabi, N. M., & Gaynanova, I.

citation count

  • 18

complete list of authors

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

editor list (cited editors)

  • Pyle, L.

publication date

  • January 2021