{ "_id": "6a1d3b611d7bb097a0a3ef49", "Package": "moRphomenses", "Title": "Geometric Morphometric Tools to Align, Scale, and Compare\n\"Shape\" of Menstrual Cycle Hormones", "Version": "1.0.3", "Authors@R": "person(given = \"Daniel\", family = \"Ehrlich\", email = \"dan.ehrlich.e@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Mitteroecker & Gunz (2009) \ndescribe how geometric morphometric methods allow researchers\nto quantify the size and shape of physical biological\nstructures. We provide tools to extend geometric morphometric\nprinciples to the study of non-physical structures, hormone\nprofiles, as outlined in Ehrlich et al (2021)\n. Easily transform daily measures into\nmultivariate landmark-based data. Includes custom functions to\napply multivariate methods for data exploration as well as\nhypothesis testing. Also includes 'shiny' web app to streamline\ndata exploration. Developed to study menstrual cycle hormones\nbut functions have been generalized and should be applicable to\nany biomarker over any time period.", "License": "GPL (>= 3.0)", "URL": "", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Repository": "https://clancylabuiuc.r-universe.dev", "Date/Publication": "2025-01-06 18:02:09 UTC", "RemoteUrl": "https://github.com/clancylabuiuc/morphomenses", "RemoteRef": "HEAD", "RemoteSha": "0809b280ee08bc3e49f597f019940ce82505994f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 07:52:19 UTC", "User": "root" }, "Author": "Daniel Ehrlich [aut, cre]", "Maintainer": "Daniel Ehrlich ", "MD5sum": "0b35f1f9b712a8779f844c480d535fe8", "_user": "clancylabuiuc", "_type": "src", "_file": "moRphomenses_1.0.3.tar.gz", "_fileid": "d7b0ab192fc76d15b245c4f957b09dbf96995c6463a1cedbd63d1d22306c8a2d", "_filesize": 193103, "_sha256": "d7b0ab192fc76d15b245c4f957b09dbf96995c6463a1cedbd63d1d22306c8a2d", 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