{ "_id": "6a197977acfb0bcc41df46e7", "Package": "easyCODA", "Type": "Package", "Version": "0.40.2", "Date": "2024-08-25", "Title": "Compositional Data Analysis in Practice", "Authors@R": "person(given = \"Michael\",\nfamily = \"Greenacre\",\nrole = c(\"aut\", \"cre\"),\nemail = \"michael.greenacre@upf.edu\")", "Author": "Michael Greenacre [aut, cre]", "Maintainer": "Michael Greenacre ", "Description": "Univariate and multivariate methods for compositional data\nanalysis, based on logratios. The package implements the\napproach in the book Compositional Data Analysis in Practice by\nMichael Greenacre (2018), where accent is given to simple\npairwise logratios. Selection can be made of logratios that\naccount for a maximum percentage of logratio variance. Various\nmultivariate analyses of logratios are included in the package.", "License": "GPL", "URL": "https://github.com/michaelgreenacre/CODAinPractice/", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-29 10:02:14 UTC", "User": "root" }, "Repository/R-Forge/Project": "easycoda", "Repository/R-Forge/Revision": "53", "Repository/R-Forge/DateTimeStamp": "2024-08-27 14:20:20", "Repository": "https://michaelgreenacre.r-universe.dev", "Date/Publication": "2024-08-28 02:49:09 UTC", "RemoteUrl": "https://github.com/cran/easyCODA", "RemoteRef": "HEAD", "RemoteSha": "3a9ea3953d8a6a7753c2c54298d93ef54558b3d2", "MD5sum": "78465bbc8bfd27a291df6d1a5e3eaeee", "_user": "michaelgreenacre", "_type": "src", "_file": "easyCODA_0.40.2.tar.gz", "_fileid": "7bbe7d96362e9b3255796058fde7029ba82e5a422c272e9e108a177b176ccb86", "_filesize": 271062, "_sha256": "7bbe7d96362e9b3255796058fde7029ba82e5a422c272e9e108a177b176ccb86", "_created": "2026-05-29T10:02:14.000Z", "_published": 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