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FlexRL: A Flexible Model for Record Linkage

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, <doi: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.

Version: 0.1.0
Depends: R (≥ 4.4.0)
Imports: Matrix (≥ 1.7), progress (≥ 1.2.3), testit (≥ 0.13), Rcpp (≥ 1.0.13)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2024-12-09
DOI: 10.32614/CRAN.package.FlexRL
Author: Kayané ROBACH ORCID iD [aut, cre, cph]
Maintainer: Kayané ROBACH <k.c.robach at amsterdamumc.nl>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: FlexRL citation info
Materials: README NEWS
CRAN checks: FlexRL results

Documentation:

Reference manual: FlexRL.pdf
Vignettes: FlexRL-vignette (source, R code)

Downloads:

Package source: FlexRL_0.1.0.tar.gz
Windows binaries: r-devel: FlexRL_0.1.0.zip, r-release: FlexRL_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): FlexRL_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): FlexRL_0.1.0.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FlexRL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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