{ "_id": "6a254bb14b233be19839c82d", "Package": "arules", "Title": "Mining Association Rules and Frequent Itemsets", "Version": "1.7.14", "Date": "2026-03-28", "Authors@R": "c(\nperson(\"Michael\", \"Hahsler\", , \"mhahsler@lyle.smu.edu\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-2716-1405\")),\nperson(\"Christian\", \"Buchta\", role = c(\"aut\", \"cph\")),\nperson(\"Bettina\", \"Gruen\", role = c(\"aut\", \"cph\")),\nperson(\"Kurt\", \"Hornik\", role = c(\"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-4198-9911\")),\nperson(\"Christian\", \"Borgelt\", role = c(\"ctb\", \"cph\")),\nperson(\"Ian\", \"Johnson\", role = \"ctb\"),\nperson(\"Makhlouf\", \"Ledmi\", role = \"ctb\")\n)", "Description": "Provides the infrastructure for representing, manipulating\nand analyzing transaction data and patterns (frequent itemsets\nand association rules). Also provides C implementations of the\nassociation mining algorithms Apriori and Eclat. Hahsler,\nGruen and Hornik (2005) .", "License": "GPL-3", "URL": "https://github.com/mhahsler/arules", "BugReports": "https://github.com/mhahsler/arules/issues", "Classification/ACM": "G.4, H.2.8, I.5.1", "Copyright": "The source code for Apriori and Eclat was obtained from\nhttp://www.borgelt.net/ and is Copyright (C) 1996-2003\nChristian Borgelt. All other code is Copyright (C) Michael\nHahsler, Christian Buchta, Bettina Gruen and Kurt Hornik.", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Collate": "'AAA_arules-package.R' 'AAA_check_installed.R'\n'AAA_definitions.R' 'AAA_nodots.R' 'Adult.R' 'itemMatrix.R'\n'associations.R' 'transactions.R' 'tidLists.R' 'itemsets.R'\n'rules.R' 'DATAFRAME.R' 'Epub.R' 'Groceries.R' 'Income.R'\n'LIST.R' 'Matrix.R' 'Mushroom.R' 'SunBai.R' 'abbreviate.R'\n'addComplement.R' 'affinity.R' 'appearance.R' 'apriori.R' 'c.R'\n'confint.R' 'control.R' 'coverage.R' 'crossTable.R'\n'discretize.R' 'dissimilarity.R' 'duplicated.R' 'eclat.R'\n'extract.R' 'fim4r.R' 'hierarchy.R' 'image.R' 'inspect.R'\n'interestMeasures.R' 'is.closed.R' 'is.generator.R'\n'is.maximal.R' 'is.redundant.R' 'is.significant.R'\n'is.superset.R' 'itemCoding.R' 'itemFrequency.R' 'match.R'\n'merge.R' 'parameter.R' 'plot.R' 'pmml.R' 'predict.R'\n'random.transactions.R' 'read_write.R' 'ruleInduction.R'\n'sample.R' 'sets.R' 'setsItemwise.R' 'size.R' 'sort.R'\n'subset.R' 'support.R' 'supportingTransactions.R' 'unique.R'\n'warm.R'", "Repository": "https://mhahsler.r-universe.dev", "Date/Publication": "2026-03-29 18:03:36 UTC", "RemoteUrl": "https://github.com/mhahsler/arules", "RemoteRef": "HEAD", "RemoteSha": "7750749ec7e2a0cdc17945746910f421c0707879", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-07 10:40:00 UTC", "User": "root" }, "Author": "Michael Hahsler [aut, cre, cph] (ORCID:\n),\nChristian Buchta [aut, cph],\nBettina Gruen [aut, cph],\nKurt Hornik [aut, cph] (ORCID: ),\nChristian Borgelt [ctb, cph],\nIan Johnson [ctb],\nMakhlouf Ledmi [ctb]", "Maintainer": "Michael Hahsler ", "MD5sum": "c0f2490b0ce3b68c8fcb4a9712ddabc4", "_user": "mhahsler", "_type": "src", "_file": "arules_1.7.14.tar.gz", "_fileid": "046211169b07cbc0258b43a81f59e3704b2458f21fdce0a0564265c3d66aff18", "_filesize": 2687662, "_sha256": 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Categorical Variable", "concept": [ "preprocessing" ], "topics": [ "binning", "discretize", "discretizeDF" ] }, { "page": "dissimilarity", "title": "Dissimilarity Matrix Computation for Associations and Transactions", "concept": [ "proximity classes and functions" ], "topics": [ "dissimilarity", "dissimilarity,associations-method", "dissimilarity,itemMatrix-method", "dissimilarity,matrix-method", "dist" ] }, { "page": "duplicated", "title": "Find Duplicated Elements", "concept": [ "associations functions", "itemMatrix and transactions functions" ], "topics": [ "duplicated", "duplicated,itemMatrix-method", "duplicated,itemsets-method", "duplicated,rules-method" ] }, { "page": "eclat", "title": "Mining Associations with Eclat", "concept": [ "mining algorithms" ], "topics": [ "ECLAT", "Eclat", "eclat" ] }, { "page": "Epub", "title": "The Epub Transactions Data Set", "topics": [ "Epub" ] }, { "page": "extract", "title": "Methods for \"[\": Extraction or Subsetting arules Objects", "concept": [ "associations functions", "itemMatrix and transactions functions" ], "topics": [ "\"[-methods\"", "extract", "[,itemMatrix,ANY,ANY,ANY-method", "[,itemsets,ANY,ANY,ANY-method", "[,rules,ANY,ANY,ANY-method", "[,tidLists,ANY,ANY,ANY-method", "[,transactions,ANY,ANY,ANY-method" ] }, { "page": "fim4r", "title": "Interface to Mining Algorithms from fim4r", "concept": [ "mining algorithms" ], "topics": [ "carpenter", "fim4r", "FPgrowth", "fpgrowth", "IsTa", "ista", "RElim", "relim", "SaM", "sam" ] }, { "page": "Groceries", "title": "The Groceries Transactions Data Set", "topics": [ "Groceries", "groceries" ] }, { "page": "hierarchy", "title": "Support for Item Hierarchies", "concept": [ "itemMatrix and transactions functions", "preprocessing" ], "topics": [ "addAggregate", "aggregate", "aggregate,itemMatrix-method", "aggregate,itemsets-method", "aggregate,rules-method", "filterAggregate", "hierarchy" ] }, { "page": "hits", "title": "Computing Transaction Weights With HITS", "concept": [ "weighted association mining functions" ], "topics": [ "hits" ] }, { "page": "image", "title": "Visual Inspection of Binary Incidence Matrices", "concept": [ "itemMatrix and transactions functions" ], "topics": [ "image", "image,itemMatrix-method", "image,tidLists-method", "image,transactions-method" ] }, { "page": "Income", "title": "The Income Data Set", "topics": [ "Income", "income", "IncomeESL" ] }, { "page": "inspect", "title": "Display Associations and Transactions in Readable Form", "concept": [ "associations functions", "itemMatrix and transactions functions" ], "topics": [ "inspect", "inspect,itemMatrix-method", "inspect,itemsets-method", "inspect,rules-method", "inspect,tidLists-method", "inspect,transactions-method" ] }, { "page": "interestMeasure", "title": "Calculate Additional Interest Measures", "concept": [ "interest measures" ], "topics": [ "interestMeasure", "interestMeasure,itemsets-method", "interestMeasure,rules-method" ] }, { "page": "is.closed", "title": "Find Closed Itemsets", "concept": [ "associations functions", "postprocessing" ], "topics": [ "is.closed", "is.closed,itemsets-method" ] }, { "page": "is.generator", "title": "Find Generator Itemsets", "concept": [ "associations functions", "postprocessing" ], "topics": [ "is.generator", "is.generator,itemsets-method" ] }, { "page": "is.maximal", "title": "Find Maximal Itemsets", "concept": [ "associations functions", "postprocessing" ], "topics": [ "is.maximal", "is.maximal,itemMatrix-method", "is.maximal,itemsets-method", "is.maximal,rules-method" ] }, { "page": "is.redundant", "title": "Find Redundant Rules", "concept": [ "associations functions", "interest measures", "postprocessing" ], "topics": [ "is.redundant", "is.redundant,rules-method" ] }, { "page": "is.significant", "title": "Find Significant Rules", "concept": [ "associations functions", "interest measures", "postprocessing" ], "topics": [ "is.significant", "is.significant,rules-method" ] }, { "page": "is.superset", "title": "Find Super and Subsets", "concept": [ "associations functions", "itemMatrix and transactions functions", "postprocessing" ], "topics": [ "is.subset", "is.subset,associations-method", "is.subset,itemMatrix-method", "is.superset", "is.superset,associations-method", "is.superset,itemMatrix-method" ] }, { "page": "itemCoding", "title": "Item Coding - Conversion between Item Labels and Column IDs", "concept": [ "itemMatrix functions", "preprocessing" ], "topics": [ "compatible", "compatible,associations-method", "compatible,itemMatrix-method", "decode", "decode,list-method", "decode,numeric-method", "encode", "encode,character-method", "encode,list-method", "encode,numeric-method", "itemCoding", "itemcoding", "recode", "recode,itemMatrix-method", "recode,itemsets-method", "recode,rules-method" ] }, { "page": "itemFrequency", "title": "Getting Frequency/Support for Single Items", "concept": [ "itemMatrix and transactions functions" ], "topics": [ "itemFrequency", "itemFrequency,itemMatrix-method", "itemFrequency,tidLists-method" ] }, { "page": "itemFrequencyPlot", "title": "Creating a Item Frequencies/Support Bar Plot", "concept": [ "itemMatrix and transactions functions" ], "topics": [ "itemFrequencyPlot", "itemFrequencyPlot,itemMatrix-method" ] }, { "page": "itemMatrix-class", "title": "Class itemMatrix - Sparse Binary Incidence Matrix to Represent Sets of Items", "concept": [ "itemMatrix and transactions functions" ], "topics": [ "coerce,itemMatrix,list-method", "coerce,itemMatrix,matrix-method", "coerce,itemMatrix,ngCMatrix-method", "coerce,list,itemMatrix-method", "coerce,matrix,itemMatrix-method", "coerce,ngCMatrix,itemMatrix-method", "coercion-itemMatrix", "dim,itemMatrix-method", "dimnames,itemMatrix-method", "dimnames<-,itemMatrix,list-method", "initialize,itemMatrix-method", "itemInfo", "itemInfo,itemMatrix-method", "itemInfo<-", "itemInfo<-,itemMatrix-method", "itemLabels", "itemLabels,itemMatrix-method", "itemLabels<-", 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"tidLists,itemsets-method" ] }, { "page": "itemwiseSetOps", "title": "Itemwise Set Operations", "concept": [ "itemMatrix and transactions Functions" ], "topics": [ "itemIntersect", "itemIntersect,itemMatrix,itemMatrix-method", "itemSetdiff", "itemSetdiff,itemMatrix,itemMatrix-method", "itemSetOperations", "itemUnion", "itemUnion,itemMatrix,itemMatrix-method", "itemwiseSetOps" ] }, { "page": "LIST", "title": "List Representation for Objects Based on Class itemMatrix", "concept": [ "import/export" ], "topics": [ "LIST", "LIST,itemMatrix-method", "LIST,tidLists-method", "LIST,transactions-method" ] }, { "page": "match", "title": "Value Matching", "concept": [ "associations functions", "itemMatrix and transactions functions" ], "topics": [ "%ain%", "%ain%,itemMatrix,character-method", "%in%", "%in%,associations,associations-method", "%in%,itemMatrix,character-method", "%in%,itemMatrix,itemMatrix-method", "%oin%", "%oin%,itemMatrix,character-method", "%pin%", "%pin%,itemMatrix,character-method", "match", "match,itemMatrix,itemMatrix-method", "match,itemsets,itemsets-method", "match,rules,rules-method" ] }, { "page": "merge", "title": "Adding Items to Data", "concept": [ "itemMatrix and transactions functions", "preprocessing" ], "topics": [ "merge", "merge,itemMatrix-method", "merge,transactions-method" ] }, { "page": "Mushroom", "title": "The Mushroom Data Set as Transactions", "topics": [ "Mushroom", "mushroom" ] }, { "page": "pmml", "title": "Read and Write PMML", "concept": [ "import/export" ], "topics": [ "pmml", "read.PMML", "write.PMML" ] }, { "page": "predict", "title": "Model Predictions", "concept": [ "proximity classes and functions" ], "topics": [ "predict", "predict,itemMatrix-method" ] }, { "page": "proximity-classes", "title": "Classes dist, ar_cross_dissimilarity and ar_similarity - Proximity Matrices", "concept": [ "proximity classes and functions" ], "topics": [ "ar_cross_dissimilarity-class", "ar_similarity-class", "proximity-classes" ] }, { "page": "random.transactions", "title": "Simulate a Random Transactions", "concept": [ "itemMatrix and transactions functions" ], "topics": [ "random.patterns", "random.transactions" ] }, { "page": "read", "title": "Read Transaction Data", "concept": [ "import/export" ], "topics": [ "read", "read.transactions" ] }, { "page": "ruleInduction", "title": "Association Rule Induction from Itemsets", "concept": [ "mining algorithms", "postporocessing" ], "topics": [ "ruleInduction", "ruleInduction,itemsets-method" ] }, { "page": "rules-class", "title": "Class rules - A Set of Rules", "concept": [ "associations functions" ], "topics": [ "coerce,rules,data.frame-method", "coercion-rules", "generatingItemsets", "generatingItemsets,rules-method", "initialize,rules-method", "itemInfo,rules-method", "itemLabels,rules-method", "itemLabels<-,rules-method", "items,rules-method", "labels,rules-method", "length,rules-method", "lhs", "lhs,rules-method", "lhs<-", 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