Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend

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.


Reference manual

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install.packages("cgmguru")

1.3.0 by Sang Ho Park, 2 months ago


https://github.com/shstat1729/cgmguru, https://shstat1729.github.io/cgmguru/


Report a bug at https://github.com/shstat1729/cgmguru/issues


Browse source code at https://github.com/cran/cgmguru


Authors: Sang Ho Park [aut, cre] , Rosa Oh [aut, ctb] , Sang-Man Jin [aut, ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp

Suggests testthat, knitr, rmarkdown, iglu, dplyr, covr, ggplot2, microbenchmark

Linking to Rcpp


See at CRAN