{ "_id": "6a1fe9afb401979e7343e2a7", "Package": "asymmetry", "Type": "Package", "Title": "Multidimensional Scaling of Asymmetric Proximities", "Version": "2.0.6", "Date": "2026-03-05", "Authors@R": "person(given = \"Berrie\",\nfamily = \"Zielman\",\nrole = c(\"aut\", \"cre\"),\nemail = \"berrie.zielman@gmail.com\")", "Author": "Berrie Zielman [aut, cre]", "Maintainer": "Berrie Zielman ", "Description": "Multidimensional scaling models and methods for the\nvisualization and analysis of asymmetric proximity data. An\nasymmetric data matrix has the same number of rows and columns,\nand these rows and columns refer to the same set of objects. At\nleast some elements in the upper-triangle are different from\nthe corresponding elements in the lower triangle. An example of\nan asymmetric matrix is a student migration table, where the\nrows correspond to the countries of origin of the students and\nthe columns to the destination countries. This package provides\nalgorithms for three multidimensional scaling models, the\nslide-vector model, a scaling model with unique dimensions and\nthe asymscal model. Furthermore, some other procedures, such as\na heat map for skew-symmetric data, and the decomposition of\nasymmetry are also provided for the exploratory analysis of\nasymmetric tables.", "License": "GPL (>=3)", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev\nzlib1g-dev", "Repository": "https://berriez.r-universe.dev", "Date/Publication": "2026-03-05 18:44:36 UTC", "RemoteUrl": "https://github.com/berriez/asymmetry", "RemoteRef": "HEAD", "RemoteSha": "9da600fa25040613cf5933d42a6918fe3a562ffd", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 08:38:01 UTC", "User": "root" }, "MD5sum": "75e6774aef3cc954e7524c2d4e6cc38c", "_user": "berriez", "_type": "src", "_file": "asymmetry_2.0.6.tar.gz", "_fileid": "7ccd105be13443216442e1cf6066b46d9c75063e9850cca16cf5347a74c3c61c", "_filesize": 347977, "_sha256": "7ccd105be13443216442e1cf6066b46d9c75063e9850cca16cf5347a74c3c61c", "_created": "2026-06-03T08:38:01.000Z", "_published": 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"9", "10", "11", "12", "13", "14", "15" ], "rows": 15, "table": true, "tojson": true }, { "name": "Englishtowns", "title": "Distance Matrix of Eight English Towns", "object": "Englishtowns", "file": "Englishtowns.rda", "class": [ "matrix", "array" ], "fields": [ "Kendal", "Manchester", "Norwich", "Oxford", "Penzance", "Southampton", "Taunton", "York" ], "rows": 8, "table": true, "tojson": true }, { "name": "productsafety", "title": "Intercountry Notification of Unsafe Products", "object": "productsafety", "file": "productsafety.RData", "class": [ "matrix", "array" ], "fields": [ "Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czech Republic", "Denmark", "Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Iceland", "Ireland", "Italy", "Latvia", "Liechtenstein", "Lithuania", "Luxembourg", "Malta", "Norway", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden", "The Netherlands", "United Kingdom" ], "rows": 31, "table": true, "tojson": true }, { 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