{ "_id": "6ae6f835818c9e3ef6dbb58e", "Package": "imputeCGM", "Title": "Impute Missing Glucose Values in CGM Data", "Version": "0.0.3.9000", "Authors@R": "c(\nperson(\"Shubh\", \"Saraswat\", email = \"shubh.saraswat00@gmail.com\", role = c(\"cre\", \"aut\", \"cph\"),\ncomment = c(ORCID = \"0009-0009-2359-1484\")),\nperson(\"Hasin Shahed Shad\", email = \"hasin.shad@uky.edu\", role = \"aut\"),\nperson(\"Xiaohua Douglas\", \"Zhang\", email = \"douglas.zhang@uky.edu\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-2486-7931\")))", "Description": "Imputes missing glucose values in repeated-measures\ncontinuous glucose monitoring (CGM) data. Workflows create\ntime-series features from raw timestamps, support model\nselection, and return the user's original columns plus an\nimputed glucose column. Methods include multiple imputation by\nchained equations using 'mice' (Azur et al. (2011)\n), Random Forest regression using 'ranger'\n(Breiman (2001) ),\nk-nearest-neighbor regression using 'FNN' (Zhang (2016)\n), 'XGBoost' using 'xgboost' (Chen\nand Guestrin (2016) ), 'LightGBM'\nusing 'lightgbm' (Ke et al. (2017)\n),\nand ARIMA forecasting using 'forecast' (Hyndman and Khandakar\n(2008) ). A 'Python'-compatible\nbackend uses 'reticulate' to call 'pandas', 'scikit-learn',\n'statsmodels', 'xgboost', and optional 'lightgbm'.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Language": "en-US", "URL": "https://zhanglabuky.github.io/imputeCGMr/,\nhttps://github.com/ZhangLabUKY/imputeCGMr", "BugReports": "https://github.com/ZhangLabUKY/imputeCGMr/issues", "LazyData": "true", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "cmake make libicu-dev libpng-dev libuv1-dev python3\nlibx11-dev zlib1g-dev", "Repository": "https://zhanglabuky.r-universe.dev", "Date/Publication": "2026-10-02 16:10:12 UTC", "RemoteUrl": "https://github.com/zhanglabuky/imputecgmr", "RemoteRef": "HEAD", "RemoteSha": "5c2ec6299ba4e874360c20dcd1b8fcd6ccc576b9", "Packaged": { "Date": "2026-11-01 08:22:13 UTC", "User": "root" }, "Author": "Shubh Saraswat [cre, aut, cph] 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