{ "_id": "6a251df44b233be19838f22a", "Package": "ConsRankClass", "Type": "Package", "Title": "Classification and Clustering of Preference Rankings", "Version": "1.0.2", "Date": "2025-04-15", "Authors@R": "c(person(\"Antonio\", \"D'Ambrosio\", role = c(\"aut\", \"cre\"), email = \"antdambr@unina.it\"))", "Maintainer": "Antonio D'Ambrosio ", "Description": "Tree-based classification and soft-clustering method for\npreference rankings, with tools for external validation of\nfuzzy clustering, and Kemeny-equivalent augmented unfolding. It\ncontains the recursive partitioning algorithm for preference\nrankings, non-parametric tree-based method for a matrix of\npreference rankings as a response variable. It contains also\nthe distribution-free soft clustering method for preference\nrankings, namely the K-median cluster component analysis (CCA).\nThe package depends on the 'ConsRank' R package. Options for\nvalidate the tree-based method are both test-set procedure and\nV-fold cross validation. The package contains the routines to\ncompute the adjusted concordance index (a fuzzy version of the\nadjusted rand index) and the normalized degree of concordance\n(the corresponding fuzzy version of the rand index). The\npackage also contains routines to perform the Kemeny-equivalent\naugmented unfolding. The mds endine is the function 'sacofSym'\nfrom the package 'smacof'. Essential references: D'Ambrosio,\nA., Vera, J.F., and Heiser, W.J. (2021)\n; D'Ambrosio, A., Amodio,\nS., Iorio, C., Pandolfo, G., and Siciliano, R. (2021)\n; D'Ambrosio, A., and Heiser,\nW.J. (2019) ; D'Ambrosio, A.,\nand Heiser W.J. (2016) ;\nHullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012)\n; Marden, J.J.\n.", "License": "GPL-3", "Encoding": "UTF-8", "URL": "https://www.r-project.org/", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-07 07:18:02 UTC", "User": "root" }, "Author": "Antonio D'Ambrosio [aut, cre]", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libxml2-dev\nlibx11-dev zlib1g-dev", "Repository": "https://antdambr.r-universe.dev", "Date/Publication": "2025-04-17 07:40:09 UTC", "RemoteUrl": "https://github.com/cran/ConsRankClass", "RemoteRef": "HEAD", "RemoteSha": "94dcfcc9be00ee39fd00d02d67567a4f5c316bd3", "MD5sum": "7e4db6c3cdffad73ebb89a7f86884cdc", "_user": "antdambr", "_type": "src", "_file": "ConsRankClass_1.0.2.tar.gz", "_fileid": "e6a57d21f421773ca37746c2a9c0f8cbe8c2d3a71d3432ce54688983f441cb05", "_filesize": 259134, "_sha256": "e6a57d21f421773ca37746c2a9c0f8cbe8c2d3a71d3432ce54688983f441cb05", "_created": "2026-06-07T07:18:02.000Z", "_published": "2026-06-07T07:29:56.938Z", "_distro": "noble", "_jobs": [ 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tree-based structure or pruning sequence of ranktree", "topics": [ "plot.ranktree" ] }, { "page": "predict.ranktree", "title": "Predict the median rankings for new observations", "topics": [ "predict.ranktree" ] }, { "page": "print.cca", "title": "S3 methods for cca", "topics": [ "print.cca" ] }, { "page": "print.kunfolding", "title": "S3 methods for kunfolding", "topics": [ "print.kunfolding" ] }, { "page": "print.ranktree", "title": "S3 methods for ranktree", "topics": [ "print.ranktree" ] }, { "page": "ranktree", "title": "Recursive partitioning method for the prediction of preference rankings based upon Kemeny distances", "topics": [ "ranktree" ] }, { "page": "ranktreecontrol", "title": "Utility function", "topics": [ "ranktreecontrol" ] }, { "page": "summary.cca", "title": "S3 methods for ranktree", "topics": [ "summary.cca" ] }, { "page": "summary.kunfolding", "title": "S3 methods for kunfolding", "topics": [ "summary.kunfolding" ] }, { "page": "summary.ranktree", "title": "S3 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