imputeCGM
0.0.3Impute Missing Glucose Values in CGM Data
Overview
Imputes missing glucose values in repeated-measures continuous glucose monitoring (CGM) data. Workflows create time-series features from raw timestamps, support model selection, and return the user's original columns plus an imputed glucose column. Methods include multiple imputation by chained equations using 'mice' (Azur et al. (2011) doi:10.1002/mpr.329), Random Forest regression using 'ranger' (Breiman (2001) doi:10.1023/A:1010933404324), k-nearest-neighbor regression using 'FNN' (Zhang (2016) doi:10.21037/atm.2016.03.37), 'XGBoost' using 'xgboost' (Chen and Guestrin (2016) doi:10.1145/2939672.2939785), 'LightGBM' using 'lightgbm' (Ke et al. (2017) https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision), and ARIMA forecasting using 'forecast' (Hyndman and Khandakar (2008) doi:10.18637/jss.v027.i03). A 'Python'-compatible backend uses 'reticulate' to call 'pandas', 'scikit-learn', 'statsmodels', 'xgboost', and optional 'lightgbm'.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-176 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/zhanglabuky/imputecgmr on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.0.3Latest2026-07-16 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-16
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.3
- Bundled data
- 7.9 KB / 2 files
- Download size
- 83 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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