{ "_id": "6a4d83f6d253724d3f6dcd23", "Package": "joinery", "Type": "Package", "Title": "Heuristic Index-Based Record Linkage", "Version": "1.0.1", "Authors@R": "person(\"Eduard\", \"Brüll\", email = \"eduard.bruell@zew.de\", role = c(\"aut\", \"cre\"))", "Description": "Links records that refer to the same entity across sources\nthat share no common key, such as people, firms, or addresses\nwith spelling variation, abbreviations, or reordered words.\nLinkage is described declaratively as a strategy that\nnormalises, tokenises, phonetically encodes, weights, and\nblocks each field; candidate pairs are then scored by the\nrarity-weighted overlap of their tokens and every score is\nattributed back to individual tokens for explainability.\nStrategies compose into staged pipelines of exact, fuzzy, and\noptional embedding-based matching that carry unmatched records\nforward and resolve entities as connected components. The same\nstrategy runs on an in-memory 'data.table' backend or an\nout-of-core 'DuckDB' backend, and diagnostic and calibration\ntools help tune a strategy and filter false positives. 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