Other packages > Find by keyword >

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 23 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited cgmquantify R package
View cgmquantify citation profile
Other R packages that cgmquantify depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

diffr  
Display Differences Between Two Files using Codediff Library
An R interface to the 'codediff' JavaScript library (a copy of which is included in the package, se ...
Download / Learn more Package Citations See dependency  
docreview  
Opinionated Documentation Checking
High quality documentation can make for a great experience for your users. You can use 'docreview' t ...
Download / Learn more Package Citations See dependency  
umap  
Uniform Manifold Approximation and Projection
Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm ...
Download / Learn more Package Citations See dependency  
ADDT  
Analysis of Accelerated Destructive Degradation Test Data
Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assess ...
Download / Learn more Package Citations See dependency  
FluMoDL  
Influenza-Attributable Mortality with Distributed-Lag Models
Functions to estimate the mortality attributable to influenza and temperature, using distributed-la ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA