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rGV  

Analysis of Continuous Glucose Monitor Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rGV", "0.0.6")



Attach the package and use:
library("rGV")
Maintained by
Evan Olawsky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-21
Latest Update: 2024-12-19
Description:
Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.
How to cite:
Evan Olawsky (2022). rGV: Analysis of Continuous Glucose Monitor Data. R package version 0.0.6, https://cran.r-project.org/web/packages/rGV. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 0.0.1 (2022-07-21 19:40), 0.0.2 (2022-09-20 00:56), 0.0.3 (2022-12-07 01:50), 0.0.4 (2023-01-17 01:20), 0.0.5 (2024-12-19 22:10)
Other packages that cited rGV R package
View rGV citation profile
Other R packages that rGV depends, imports, suggests or enhances
Complete documentation for rGV
Functions, R codes and Examples using the rGV R package
Some associated functions: GV . adrr . bgi . cgm_auc . cgm_plot . conga . cv . diff_plot . dist_travelled . gmi . grade . gvp . j_index . li . m_value . mag . mage . modd . num_events . read_cgm . st_dev . symm_plot . time_on . tir . 
Some associated R codes: metrics.R . plot.R . read_CGM.R . wrapper.R .  Full rGV package functions and examples
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