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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "joinery" in publications use:'
type: software
license: MIT
title: 'joinery: Heuristic Index-Based Record Linkage'
version: 1.0.0.9000
doi: 10.32614/CRAN.package.joinery
abstract: Links records that refer to the same entity across sources that share no
  common key, such as people, firms, or addresses with spelling variation, abbreviations,
  or reordered words. Linkage is described declaratively as a strategy that normalises,
  tokenises, phonetically encodes, weights, and blocks each field; candidate pairs
  are then scored by the rarity-weighted overlap of their tokens and every score is
  attributed back to individual tokens for explainability. Strategies compose into
  staged pipelines of exact, fuzzy, and optional embedding-based matching that carry
  unmatched records forward and resolve entities as connected components. The same
  strategy runs on an in-memory 'data.table' backend or an out-of-core 'DuckDB' backend,
  and diagnostic and calibration tools help tune a strategy and filter false positives.
  The token-retrieval heuristic follows Doherr (2023) <https://doi.org/10.2139/ssrn.4326848>.
authors:
- family-names: Brüll
  given-names: Eduard
  email: eduard.bruell@zew.de
repository: https://edubruell.r-universe.dev
repository-code: https://github.com/edubruell/joinery
commit: 2ee7c82c52a508d68aa4cae056c49ed673518c4a
url: https://edubruell.github.io/joinery/
date-released: '2026-07-07'
contact:
- family-names: Brüll
  given-names: Eduard
  email: eduard.bruell@zew.de