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cgmguru: 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.

Version: 0.1.0
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, iglu, dplyr, covr, ggplot2, microbenchmark
Published: 2025-11-05
DOI: 10.32614/CRAN.package.cgmguru
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729 at gmail.com>
BugReports: https://github.com/shstat1729/cgmguru/issues
License: MIT + file LICENSE
URL: https://github.com/shstat1729/cgmguru
NeedsCompilation: yes
Materials: NEWS
CRAN checks: cgmguru results

Documentation:

Reference manual: cgmguru.html , cgmguru.pdf
Vignettes: detect_all_events function : cgmguru vs iglu (source, R code)
detect_between_maxima function (source, R code)
detect_hyperglycemic_events function (source, R code)
detect_hypoglycemic_events function (source, R code)
Examples Gallery (source, R code)
excursion function (source, R code)
find_local_maxima function (source, R code)
find_max_after_hours function (source, R code)
find_max_before_hours function (source, R code)
find_min_after_hours function (source, R code)
find_min_before_hours function (source, R code)
find_new_maxima function (source, R code)
grid function (source, R code)
cgmguru: Complete CGM Analysis Workflow (source, R code)
maxima_grid function (source, R code)
mod_grid function (source, R code)
orderfast function (source, R code)
start_finder function (source, R code)
transform_df function (source, R code)

Downloads:

Package source: cgmguru_0.1.0.tar.gz
Windows binaries: r-devel: cgmguru_0.1.0.zip, r-release: cgmguru_0.1.0.zip, r-oldrel: cgmguru_0.1.0.zip
macOS binaries: r-release (arm64): cgmguru_0.1.0.tgz, r-oldrel (arm64): cgmguru_0.1.0.tgz, r-release (x86_64): cgmguru_0.1.0.tgz, r-oldrel (x86_64): cgmguru_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cgmguru to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.