Package: imputeCGM
Title: Impute Missing Glucose Values in CGM Data
Version: 0.0.3
Authors@R: c(
    person("Shubh", "Saraswat", email = "shubh.saraswat00@gmail.com", role = c("cre", "aut", "cph"),
    comment = c(ORCID = "0009-0009-2359-1484")),
    person("Hasin Shahed Shad", email = "hasin.shad@uky.edu", role = "aut"),
    person("Xiaohua Douglas", "Zhang", email = "douglas.zhang@uky.edu", role = "aut",
    comment = c(ORCID = "0000-0002-2486-7931")))
Description: 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'.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.3)
RoxygenNote: 7.3.3
Imports: mice, FNN, ranger, data.table, xgboost, lightgbm, forecast,
        CGManalyzer, lifecycle, reticulate, shiny
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown
Config/testthat/edition: 3
NeedsCompilation: no
Language: en-US
URL: https://zhanglabuky.github.io/imputeCGMR/,
        https://github.com/ZhangLabUKY/imputeCGMR
BugReports: https://github.com/ZhangLabUKY/imputeCGMR/issues
LazyData: true
VignetteBuilder: knitr
Packaged: 2026-07-08 01:15:09 UTC; ssa390
Author: Shubh Saraswat [cre, aut, cph] (ORCID:
    <https://orcid.org/0009-0009-2359-1484>),
  Hasin Shahed Shad [aut],
  Xiaohua Douglas Zhang [aut] (ORCID:
    <https://orcid.org/0000-0002-2486-7931>)
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-16 13:40:08 UTC
