cgmguru: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend (original) (raw)

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
BugReports: https://github.com/shstat1729/cgmguru/issues
License: MIT + file
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)

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