Overview | Data Contract | Two Preprocessing Models | Subject-Level Overview | Inspecting the Event Grid | Hypoglycemia and Hyperglycemia Events | GRID Analysis | Postprandial Maxima | Excursion Analysis | Quick Visualization | Scaling Up | Function Map | Next Steps | References
Package: cgmguru 1.2.0
Sang Ho Park
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.
Authors:
cgmguru_1.2.0.tar.gz
cgmguru_1.2.0.zip(r-4.7)cgmguru_1.2.0.zip(r-4.6)cgmguru_1.2.0.zip(r-4.5)
cgmguru_1.2.0.tgz(r-4.6-x86_64)cgmguru_1.2.0.tgz(r-4.6-arm64)cgmguru_1.2.0.tgz(r-4.5-x86_64)cgmguru_1.2.0.tgz(r-4.5-arm64)
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cgmguru_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cgmguru/json (API)
| # Install 'cgmguru' in R: |
| install.packages('cgmguru', repos = c('https://shstat1729.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shstat1729/cgmguru/issues
Pkgdown/docs site:https://shstat1729.github.io
Last updated from:6cbff3b877. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 234 | ||
| linux-devel-x86_64 | OK | 210 | ||
| source / vignettes | OK | 394 | ||
| linux-release-arm64 | OK | 295 | ||
| linux-release-x86_64 | OK | 239 | ||
| macos-release-arm64 | OK | 182 | ||
| macos-release-x86_64 | OK | 419 | ||
| macos-oldrel-arm64 | OK | 146 | ||
| macos-oldrel-x86_64 | OK | 447 | ||
| windows-devel | OK | 266 | ||
| windows-release | OK | 246 | ||
| windows-oldrel | OK | 240 | ||
| wasm-release | OK | 184 |
Exports:conga_rcppdetect_all_eventsdetect_between_maximadetect_hyperglycemic_eventsdetect_hypoglycemic_eventsexcursionfind_local_maximafind_max_after_hoursfind_max_before_hoursfind_min_after_hoursfind_min_before_hoursfind_new_maximagridinterpolate_cgmmage_rcppmaxima_gridmod_gridmodd_rcpporderfastrebound_eventssensor_wearstart_findertransform_df
Dependencies:Rcpp
cgmguru: Practical CGM Analysis Guide
Last update: 2026-06-13
Started: 2026-06-09
cgmguru: Complete CGM Analysis Workflow
Core functions at a glance | Loading Sample Data | 1. Basic GRID Analysis | 2. Hyperglycemic Event Detection | 3. Hypoglycemic Event Detection | 4. Comprehensive Event Detection | 5. Local Maxima Detection | 6. Maxima-GRID Combined Analysis | 7. Excursion Analysis | 8. Advanced Pipeline: Complete Workflow | 9. Time-Based Analysis Functions | 10. Data Ordering Utility | 11. Visualization Examples | 12. Performance Comparison | Summary | Core Analysis Functions: | Advanced Pipeline Functions: | Utility Functions: | Key Features: | References
Last update: 2026-05-25
Started: 2025-09-03
cgmguru: Examples Gallery
Overview | Notes | GRID | Detect all events | Detect hyperglycemic events | Detect hypoglycemic events | Excursion | Local maxima | Max after hours | Max before hours | Min after hours | Min before hours | Maxima + GRID combined | Ordering utility | Start finder | Transform dataframe | Function reference and help
Last update: 2026-05-25
Started: 2025-10-31
detect_all_events function: cgmguru and iglu-compatible event preprocessing
Relationship to iglu | Datasets | iglu: episode_calculation | cgmguru: detect_all_events | Speed comparison | References
Last update: 2026-05-25
Started: 2025-10-31
detect_between_maxima function
detect_between_maxima | Overview | Inputs | Returns | Run documented examples
Last update: 2026-05-25
Started: 2025-10-31
detect_hyperglycemic_events function
detect_hyperglycemic_events
Last update: 2026-05-25
Started: 2025-10-31
detect_hypoglycemic_events function
detect_hypoglycemic_events
Last update: 2026-05-25
Started: 2025-10-31
excursion function
excursion | Overview | Inputs | Returns | Run documented examples
Last update: 2026-05-25
Started: 2025-10-31
find_local_maxima function
find_local_maxima
Last update: 2026-05-25
Started: 2025-10-31
find_max_after_hours function
find_max_after_hours
Last update: 2026-05-25
Started: 2025-10-31
find_max_before_hours function
find_max_before_hours
Last update: 2026-05-25
Started: 2025-10-31
find_min_after_hours function
find_min_after_hours
Last update: 2026-05-25
Started: 2025-10-31
find_min_before_hours function
find_min_before_hours
Last update: 2026-05-25
Started: 2025-10-31
find_new_maxima function
find_new_maxima
Last update: 2026-05-25
Started: 2025-10-31
grid function
Introduction | Example Data | Basic GRID Analysis | Parameter Sensitivity | Larger Dataset Example | Plotting GRID Events Over Time | Conclusion | How to Open this Vignette in RStudio
Last update: 2026-05-25
Started: 2025-10-30
maxima_grid function
maxima_grid
Last update: 2026-05-25
Started: 2025-10-31
mod_grid function
mod_grid
Last update: 2026-05-25
Started: 2025-10-31
orderfast function
orderfast | Overview | Inputs | Returns | Run documented examples
Last update: 2026-05-25
Started: 2025-10-31
start_finder function
start_finder | Overview | Inputs | Returns | Run documented examples
Last update: 2026-05-25
Started: 2025-10-31
transform_df function
transform_df | Overview | Inputs | Returns | Run documented examples
Last update: 2026-05-25
Started: 2025-10-31
