cgmquantify
Analyzing Glucose and Glucose Variability
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) <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>.
Downloads
256
Last 30 days
16603rd
726
Last 90 days
2.9K
Last year
Trend: +20.8% (30d vs prior 30d)
13
Last 30 days
28
Last 90 days
155
Last year
Trend: -7.1% (30d vs prior 30d)
0
Last 7 days
3
Last 30 days
0
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (2 non-OK)
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
Check History
NOTE 11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
ERROR 10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
package dependencies
Package required but not available: ‘tidyverse’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
dependencies in R code
Namespace in Imports field not imported from: ‘tidyverse’ All declared Imports should be used.
LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory
Dependency Network
Version History
1 trackedR Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Feb 5, 2021. Releases before tracking aren’t shown.