{ "_id": "6a11363eacfb0bcc41ce44a0", "Package": "cops", "Title": "Cluster Optimized Proximity Scaling", "Version": "1.14-1", "Authors@R": "c(person(given=\"Thomas\", family=\"Rusch\", email=\"thomas.rusch@wu.ac.at\", role = c(\"aut\",\"cre\"), comment = c(ORCID = \"0000-0002-7773-2096\")), person(\"Patrick\",\"Mair\",email=\"mair@fas.harvard.edu\",comment=c(ORCID=\"0000-0003-0100-6511\"),role=c(\"aut\")),person(\"Kurt\",\"Hornik\",email = \"Kurt.Hornik@R-project.org\",comment = c(ORCID = \"0000-0003-4198-9911\"),role=c(\"ctb\")))", "Maintainer": "Thomas Rusch ", "Description": "Multidimensional scaling (MDS) methods that aim at\npronouncing the clustered appearance of the configuration\n(Rusch, Mair & Hornik, 2021,\n). They achieve this by\ntransforming proximities/distances with explicit power\nfunctions and penalizing the fitting criterion with a\nclusteredness index, the OPTICS Cordillera (Rusch, Hornik &\nMair, 2018, ). There are two\nvariants: One for finding the configuration directly (COPS-C)\nfor any Minkowski distance with given explicit power\ntransformations and implicit ratio, interval and nonmetric\noptimal scaling transformations (Borg & Groenen, 2005,\nISBN:978-0-387-28981-6), and one for using the augmented\nfitting criterion to find optimal hyperparameters for the\nexplicit transformations (P-COPS). The package contains various\nfunctions, wrappers, methods and classes for fitting, plotting\nand displaying a large number of different MDS models (most of\nthe functionality in smacofx) in the COPS framework. The\npackage further contains a function for pattern search\noptimization, the ``Adaptive Luus-Jaakola Algorithm'' (Rusch,\nMair & Hornik, 2021,) and a\nfunctions to calculate the phi-distances for count data or\nhistograms.", "VignetteBuilder": "R.rsp", "License": "GPL-2 | GPL-3", "LazyData": "true", "URL": "https://r-forge.r-project.org/projects/stops/", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev\nlibx11-dev zlib1g-dev", "Repository": "https://r-forge.r-universe.dev", "Date/Publication": "2026-01-18 13:38:14 UTC", "RemoteUrl": "https://github.com/r-forge/stops", "RemoteRef": "HEAD", "RemoteSha": "a51c031eed4408589a889df5bd68990edba5c9a8", "RemoteSubdir": "pkg/cops", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 08:57:18 UTC", "User": "root" }, "Author": "Thomas Rusch [aut, cre] (ORCID:\n),\nPatrick Mair [aut] (ORCID: ),\nKurt Hornik [ctb] (ORCID: )", "MD5sum": "926de672ce3e1c674bbdcac4fc158569", 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"BankingCrisesDistances" ] }, { "page": "cop_apstress", "title": "PCOPS version of approximated power stress model.", "topics": [ "cop_apstress" ] }, { "page": "cop_cmdscale", "title": "PCOPS version of strain", "topics": [ "cop_cmdscale" ] }, { "page": "cop_elastic", "title": "PCOPS versions of elastic scaling models (via smacofSym)", "topics": [ "cop_elastic" ] }, { "page": "cop_powerelastic", "title": "PCOPS version of elastic scaling with powers", "topics": [ "cop_powerelastic" ] }, { "page": "cop_powermds", "title": "PCOPS version of powermds", "topics": [ "cop_powermds" ] }, { "page": "cop_powersammon", "title": "PCOPS version of sammon with powers", "topics": [ "cop_powersammon" ] }, { "page": "cop_powerstress", "title": "COPS version of powerstress", "topics": [ "cop_powerstress" ] }, { "page": "cop_rpowerstress", "title": "PCOPS version of restricted powerstress.", "topics": [ "cop_rpowerstress" ] }, { "page": "cop_rstress", "title": "PCOPS version of rstress", "topics": [ 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