Package: rGV 0.0.6

Evan Olawsky

rGV: Analysis of Continuous Glucose Monitor Data

Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.

Authors:Evan Olawsky [aut, cre], Yuan Zhang [ctb], Lynn Eberly [ctb]

# Install 'rGV' in R:

install.packages('rGV', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:d8e7d63742. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	94
source / vignettes	OK	151
linux-release	OK	98
windows-devel	OK	74
windows-release	OK	82
wasm-release	OK	89

Dependencies:chron

Help page	Topics
Calculate Average Daily Risk Range (ADRR)	adrr
Calculate Low / High Blood Glucose Index (LBGI, HBGI)	bgi
Calculate area under the curve (AUC)	cgm_auc
Plot glucose values over time	cgm_plot
Calculate continuous overall net glycemic action (CONGA)	conga
Calculate coefficient of variation (CV)	cv
Plots glucose changes over time	diff_plot
Calculate distance travelled	dist_travelled
Calculate Glucose Management Indicator (GMI)	gmi
Calculate Glycemic Risk Assessment Diabetes Equation (GRADE)	grade
Calculate all glycemic variability metrics	GV
Calculate Glycemic Variability Percentage (GVP)	gvp
Calculate J-index	j_index
Calculate the lability index (LI)	li
Calculate M-value	m_value
Calculate Mean Absolute Glucose (MAG)	mag
Calculate Mean Amplitude of Glycemic Excursions (MAGE)	mage
Calculate Mean of Daily Differences (MODD)	modd
Find number of episodes below a given glucose value for a given amount of time	num_events
Read in continuous glucose monitor data	read_cgm
Calculate standard deviation (SD)	st_dev
Plot the symmetrized glucose values	symm_plot
Calculate amount of time that the CGM was active	time_on
Calculate time in range (TIR)	tir