{ "_id": "6a214ae8cd65a98ecbd2c4ed", "Package": "CGManalyzer", "Type": "Package", "Title": "Continuous Glucose Monitoring Data Analyzer", "Version": "1.3.1", "Date": "2023-7-10", "Authors@R": "c(person(\"Xiaohua Douglas\", \"Zhang\", role = c(\"aut\", \"cph\"),\nemail = \"douglaszhang@um.edu.mo\"),\nperson(\"Dandan\", \"Wang\", role = \"aut\"),\nperson(\"Zhaozhi\", \"Zhang\", role = \"aut\"),\nperson(\"Madalena\", \"Costa\", role = \"ctb\"),\nperson(\"Xinzheng\", \"Dong\", role = c(\"aut\", \"cre\"),\nemail = \"dong.xinzheng@foxmail.com\"))", "Author": "Xiaohua Douglas Zhang [aut, cph], Dandan Wang [aut], Zhaozhi\nZhang [aut], Madalena Costa [ctb], Xinzheng Dong [aut, cre]", "Maintainer": "Xinzheng Dong ", "Description": "Contains all of the functions necessary for the complete\nanalysis of a continuous glucose monitoring study and can be\napplied to data measured by various existing 'CGM' devices such\nas 'FreeStyle Libre', 'Glutalor', 'Dexcom' and 'Medtronic CGM'.\nIt reads a series of data files, is able to convert various\nformats of time stamps, can deal with missing values,\ncalculates both regular statistics and nonlinear statistics,\nand conducts group comparison. It also displays results in a\nconcise format. Also contains two unique features new to 'CGM'\nanalysis: one is the implementation of strictly standard mean\ndifference and the class of effect size; the other is the\ndevelopment of a new type of plot called antenna plot. It\ncorresponds to 'Zhang\nXD'(2018)'s article\n'CGManalyzer: an R package for analyzing continuous glucose\nmonitoring studies'.", "License": "MIT + file LICENSE", "RoxygenNote": "6.1.1", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-04 09:49:26 UTC", "User": "root" }, "Repository": "https://dongxinzheng.r-universe.dev", "Date/Publication": "2023-07-11 15:30:01 UTC", "RemoteUrl": "https://github.com/cran/CGManalyzer", "RemoteRef": "HEAD", "RemoteSha": "5bc1e7de53690fcd9353708863d612094bf422d7", "MD5sum": "2da81920095f57e4c2cdc7960ee82275", "_user": "dongxinzheng", "_type": "src", "_file": "CGManalyzer_1.3.1.tar.gz", "_fileid": "7d282955c6196df2ecacf884f32fbc26d954520026d8445d75fdef7ea3ccf2ba", "_filesize": 385440, "_sha256": "7d282955c6196df2ecacf884f32fbc26d954520026d8445d75fdef7ea3ccf2ba", "_created": "2026-06-04T09:49:26.000Z", "_published": "2026-06-04T09:52:40.150Z", "_distro": "noble", "_jobs": [ { "job": 79493265067, "time": 106, "config": "linux-devel-arm64", "r": 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56718864 }, "_registered": true, "_dependencies": [ { "package": "graphics", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 1, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "dongxinzheng", "count": 3, "uuid": 56718864 } ], "_userbio": { "uuid": 56718864, "type": "user", "name": "dongxinzheng" }, "_downloads": { "count": 273, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/CGManalyzer" }, "_mentions": 3, "_searchresults": 15, "_rbuild": "4.6.0", "_assets": [ "extra/CGManalyzer.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_realowner": "dongxinzheng", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2017-10-10" }, { "version": "1.2", "date": "2019-10-23" }, { "version": "1.3", "date": "2020-03-01" }, { "version": "1.3.1", "date": 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factor to a vector", "topics": [ "fac2char.fn" ] }, { "page": "fixMissing.fn", "title": "Function to fix missing values in a vector", "topics": [ "fixMissing.fn" ] }, { "page": "MODD.fn", "title": "Function to calculate the mean of daily differences (MODD)", "topics": [ "MODD.fn" ] }, { "page": "MSEbyC.fn", "title": "call a C function to calculate multiscale entropy", "topics": [ "MSEbyC.fn" ] }, { "page": "MSEplot.fn", "title": "Plot the mean and standard error or standard deviation of multiscale entropy by group", "topics": [ "MSEplot.fn" ] }, { "page": "pairwiseComparison.fn", "title": "function to calculate mean difference and its confidence interval, SSMD, p-value of t.test for pairwise comparison", "topics": [ "pairwiseComparison.fn" ] }, { "page": "plotTseries.fn", "title": "function to plot time series data", "topics": [ "plotTseries.fn" ] }, { "page": "setSPEC.fn", "title": "Load settings for the selected SPEC parameter.", "topics": [ "setSPEC.fn" ] }, { "page": 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