The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day. Glycemic variability, also known as glucose variability, is an established risk factor for hypoglycemia (Kovatchev) and has been shown to be a risk factor in diabetes complications. Over 20 metrics of glycemic variability have been identified. Here, we provide functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data. Cho P, Bent B, Wittmann A, et al. (2020) <https://diabetes.diabetesjournals.org/content/69/Supplement_1/73-LB.abstract> American Diabetes Association (2020) <https://professional.diabetes.org/diapro/glucose_calc> Kovatchev B (2019) <doi:10.1177/1932296819826111> Kovdeatchev BP (2017) <doi:10.1038/nrendo.2017.3> Tamborlane W V., Beck RW, Bode BW, et al. (2008) <doi:10.1056/NEJMoa0805017> Umpierrez GE, P. Kovatchev B (2018) <doi:10.1016/j.amjms.2018.09.010>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, tidyverse, ggplot2, hms, stats, magrittr |
| Suggests: | testthat (≥ 2.0.0), knitr, rmarkdown |
| Published: | 2021-02-05 |
| Author: | Maria Henriquez [aut, com, cph, cre, trl], Brinnae Bent [aut, cph, dtc] |
| Maintainer: | Maria Henriquez <marhenriq at gmail.com> |
| License: | MIT License + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | cgmquantify results |
| Reference manual: | cgmquantify.pdf |
| Vignettes: |
User Guide |
| Package source: | cgmquantify_0.1.0.tar.gz |
| Windows binaries: | r-devel: cgmquantify_0.1.0.zip, r-release: cgmquantify_0.1.0.zip, r-oldrel: cgmquantify_0.1.0.zip |
| macOS binaries: | r-release (arm64): cgmquantify_0.1.0.tgz, r-oldrel (arm64): cgmquantify_0.1.0.tgz, r-release (x86_64): cgmquantify_0.1.0.tgz, r-oldrel (x86_64): cgmquantify_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=cgmquantify to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.