Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend R package cgmguru version 1.2.0 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. Software Imports: Rcpp LinkingTo: Rcpp Suggests: testthat (>= 3.0.0), knitr, rmarkdown, iglu, dplyr, covr, ggplot2, microbenchmark Sang Ho Park <shstat1729@gmail.com> Comprehensive R Archive Network (CRAN) Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=cgmguru/LICENSE) 2026-07-08 application/tgz https://CRAN.R-project.org/package=cgmguru doi:10.32614/CRAN.package.cgmguru