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CGMissingDataR: Impute Missing Glucose Values in CGM Data

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 (MICE; Azur et al. (2011) <doi:10.1002/mpr.329>), Random Forest regression (Breiman (2001) <doi:10.1023/A:1010933404324>), k-nearest-neighbor regression (Zhang (2016) <doi:10.21037/atm.2016.03.37>), XGBoost (Chen and Guestrin (2016) <doi:10.1145/2939672.2939785>), LightGBM (Ke et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>), and ARIMA forecasting with the forecast framework (Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>). A Python-compatible backend uses 'reticulate' to call 'pandas', 'scikit-learn', 'statsmodels', Python 'xgboost', and optional Python 'lightgbm'.

Version: 0.0.2
Depends: R (≥ 4.3)
Imports: mice, FNN, ranger, data.table, xgboost, lightgbm, forecast, CGManalyzer, lifecycle, reticulate, shiny
Suggests: testthat (≥ 3.0.0), spelling, knitr, rmarkdown
Published: 2026-05-30
DOI: 10.32614/CRAN.package.CGMissingDataR
Author: Shubh Saraswat ORCID iD [cre, aut, cph], Hasin Shahed Shad [aut], Xiaohua Douglas Zhang ORCID iD [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00 at gmail.com>
BugReports: https://github.com/ZhangLabUKY/CGMmissingDataR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://zhanglabuky.github.io/CGMmissingDataR/, https://github.com/ZhangLabUKY/CGMmissingDataR
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: CGMissingDataR results

Documentation:

Reference manual: CGMissingDataR.html , CGMissingDataR.pdf
Vignettes: How To Use CGMmissingDataR (source, R code)
Using the CGMmissingDataR Shiny App (source, R code)

Downloads:

Package source: CGMissingDataR_0.0.2.tar.gz
Windows binaries: r-devel: CGMissingDataR_0.0.2.zip, r-release: CGMissingDataR_0.0.2.zip, r-oldrel: CGMissingDataR_0.0.2.zip
macOS binaries: r-release (arm64): CGMissingDataR_0.0.2.tgz, r-oldrel (arm64): CGMissingDataR_0.0.2.tgz, r-release (x86_64): CGMissingDataR_0.0.2.tgz, r-oldrel (x86_64): CGMissingDataR_0.0.2.tgz
Old sources: CGMissingDataR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CGMissingDataR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.