Package: cgmguru
Type: Package
Title: Advanced Continuous Glucose Monitoring Analysis with
        High-Performance C++ Backend
Version: 0.1.0
Authors@R: c(person(given = c("Sang", "Ho"),
                        family = "Park",
                        role = c("aut", "cre"),
                        email = "shstat1729@gmail.com"),
                 person(given = "Rosa",
                        family = "Oh",
                        role = c("aut", "ctb")),
                 person(given = "Sang-Man",
                        family = "Jin",
                        role = c("aut", "ctb")))
Maintainer: Sang Ho Park <shstat1729@gmail.com>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, iglu, dplyr, covr,
        ggplot2, microbenchmark
VignetteBuilder: knitr
URL: https://github.com/shstat1729/cgmguru
BugReports: https://github.com/shstat1729/cgmguru/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-11-03 08:00:18 UTC; bagsangho
Author: Sang Ho Park [aut, cre],
  Rosa Oh [aut, ctb],
  Sang-Man Jin [aut, ctb]
Repository: CRAN
Date/Publication: 2025-11-05 20:30:07 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-04-25 16:33:21 UTC; windows
Archs: x64
