{ "_id": "6a155038acfb0bcc41d59ff0", "Package": "RespirAnalyzer", "Type": "Package", "Title": "Analysis Functions of Respiratory Data", "Version": "1.0.2", "Date": "2023-6-7", "Authors@R": "c(person(\"Xiaohua Douglas\", \"Zhang\", role = c(\"aut\", \"cph\"),\nemail = \"douglas.zhang@uky.edu\"),\nperson(\"Teng\", \"Zhang\", role = \"aut\"),\nperson(\"Xinzheng\", \"Dong\", role = c(\"aut\", \"cre\"),\nemail = \"dong.xinzheng@foxmail.com\"))", "Author": "Xiaohua Douglas Zhang [aut, cph], Teng Zhang [aut], Xinzheng\nDong [aut, cre]", "Maintainer": "Xinzheng Dong ", "Description": "Provides functions for the complete analysis of\nrespiratory data. Consists of a set of functions that allow to\npreprocessing respiratory data, calculate both regular\nstatistics and nonlinear statistics, conduct group comparison\nand visualize the results. Especially, Power Spectral Density\n('PSD') (A. Eke (2000) ),\n'MultiScale Entropy(MSE)' ('Madalena Costa(2002)'\n) and 'MultiFractal\nDetrended Fluctuation Analysis(MFDFA)' ('Jan W.Kantelhardt'\n(2002) ) were applied for\nthe analysis of respiratory data.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "Repository": "https://dongxinzheng.r-universe.dev", "Date/Publication": "2023-11-27 00:13:48 UTC", "RemoteUrl": "https://github.com/dongxinzheng/respiranalyzer", "RemoteRef": "HEAD", "RemoteSha": "e0494f366b05d570eba592c934a954c32442ceb5", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-26 07:41:38 UTC", "User": "root" }, "MD5sum": "be713fada8a11040e960ac5b54af36df", "_user": "dongxinzheng", "_type": "src", "_file": "RespirAnalyzer_1.0.2.tar.gz", "_fileid": "806928d8b665f9f5d67680ed1bcf066c4d54accd526185f1cc2ca17e82f4663e", "_filesize": 437811, "_sha256": "806928d8b665f9f5d67680ed1bcf066c4d54accd526185f1cc2ca17e82f4663e", "_created": "2026-05-26T07:41:38.000Z", 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