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cgmquantify  

Analyzing Glucose and Glucose Variability
View on CRAN: Click here


Download and install cgmquantify package within the R console
Install from CRAN:
install.packages("cgmquantify")

Install from Github:
library("remotes")
install_github("cran/cgmquantify")

Install by package version:
library("remotes")
install_version("cgmquantify", "0.1.0")



Attach the package and use:
library("cgmquantify")
Maintained by
Maria Henriquez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-05
Latest Update: 2021-02-05
Description:
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) American Diabetes Association (2020) Kovatchev B (2019) Kovdeatchev BP (2017) Tamborlane W V., Beck RW, Bode BW, et al. (2008) Umpierrez GE, P. Kovatchev B (2018) .
How to cite:
Maria Henriquez (2021). cgmquantify: Analyzing Glucose and Glucose Variability. R package version 0.1.0, https://cran.r-project.org/web/packages/cgmquantify. Accessed 29 Jun. 2026.
Previous versions and publish date:
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Complete documentation for cgmquantify
Functions, R codes and Examples using the cgmquantify R package
Some associated functions: GMI . HBGI . J_index . LBGI . LBGI_HBGI . MGE . MGN . POR . TIR . TOR . eA1c . interdaycv . interdaysd . intradaycv . intradaysd . plot_glucose . readfile . summary_glucose . 
Some associated R codes: GMI.R . J_index.R . LBGI_HBGI.R . MAGE.R . POR.R . TIR.R . TOR.R . eA1c.R . hello.R . interday.R . intraday.R . plot_glucose.R . readfile.R . summary_glucose.R .  Full cgmquantify package functions and examples
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