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cgmguru  

Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cgmguru", "1.3.0")



Attach the package and use:
library("cgmguru")
Maintained by
Sang Ho Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-05
Latest Update: 2025-11-05
Description:
Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
How to cite:
Sang Ho Park (2025). cgmguru: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend. R package version 1.3.0, https://cran.r-project.org/web/packages/cgmguru. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-21 07:47), 0.1.0 (2025-11-05 21:30), 0.2.0 (2026-05-07 08:20), 1.0.0 (2026-05-14 15:10), 1.0.1 (2026-05-14 16:10), 1.1.0 (2026-06-09 04:20), 1.2.0 (2026-07-08 10:00)
Other packages that cited cgmguru R package
View cgmguru citation profile
Other R packages that cgmguru depends, imports, suggests or enhances
Complete documentation for cgmguru
Functions, R codes and Examples using the cgmguru R package
Full cgmguru package functions and examples
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