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 + fileLICENSE |
| URL: | https://github.com/shstat1729/cgmguru |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | cgmguru results |
| 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 |
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