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(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", "RoxygenNote": "7.3.3", "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", "Packaged": { "Date": "2026-07-16 17:05:42 UTC", "User": "root" }, "Author": "Shubh Saraswat [cre, aut, cph] (ORCID:\n), Hasin Shahed Shad\n[aut], Xiaohua Douglas Zhang [aut] (ORCID:\n)", "Maintainer": "Shubh Saraswat ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-07-16 13:40:08 UTC", "RemoteUrl": "https://github.com/cran/imputeCGM", "RemoteRef": "HEAD", "RemoteSha": "f435739579210efd7ec052ab1a8870fc064fcdbd", "_user": "cran", "_type": "src", "_file": 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