# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "FlexRL" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'FlexRL: A Flexible Model for Record Linkage'
version: 0.1.0
doi: 10.48550/arXiv.2407.06835
identifiers:
- type: doi
  value: 10.32614/CRAN.package.FlexRL
abstract: Implementation of the Stochastic Expectation Maximisation (StEM) approach
  to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A.
  van de Wiel and M. H. Hof (2024, <https://doi.org/10.48550/arXiv.2407.06835>); see
  'citation("FlexRL")' for details. This is a record linkage method, for finding the
  common set of records among 2 data sources based on Partially Identifying Variables
  (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying
  Variables (e.g. postal code) that may evolve over time and registration errors (missing
  values and mistakes in the registration). Low memory footprint.
authors:
- family-names: ROBACH
  given-names: Kayané
  email: k.c.robach@amsterdamumc.nl
  orcid: https://orcid.org/0000-0002-5725-623X
preferred-citation:
  type: article
  title: A Flexible Model For Record Linkage
  authors:
  - family-names: K.
    given-names: Robach
  - family-names: L.
    given-names: van der Pas S.
  - family-names: A.
    given-names: van de Wiel M.
  - family-names: H.
    given-names: Hof M.
  year: '2024'
  journal: Journal of the Royal Statistical Society, Series C
  doi: 10.48550/arXiv.2407.06835
repository: https://amscausality.r-universe.dev
commit: 1cad9c18ed0d2355e5049797f1741d927ec4bd3f
date-released: '2024-12-09'
contact:
- family-names: ROBACH
  given-names: Kayané
  email: k.c.robach@amsterdamumc.nl
  orcid: https://orcid.org/0000-0002-5725-623X