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fuzzylink: Probabilistic Record Linkage Using Pretrained Text Embeddings
Links datasets through fuzzy string matching using pretrained text embeddings. Produces more accurate record linkage when lexical string distance metrics are a poor guide to match quality (e.g., "Patricia" is more lexically similar to "Patrick" than it is to "Trish"). Capable of performing multilingual record linkage. Methods are described in Ornstein (2025) <https://joeornstein.github.io/publications/fuzzylink.pdf>.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, utils, dplyr, Rfast, reshape2, stringdist, stringr, httr, jsonlite, httr2, ranger |
| Published: |
2025-06-14 |
| DOI: |
10.32614/CRAN.package.fuzzylink |
| Author: |
Joe Ornstein 
[aut, cre, cph] |
| Maintainer: |
Joe Ornstein <jornstein at uga.edu> |
| BugReports: |
https://github.com/joeornstein/fuzzylink/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/joeornstein/fuzzylink |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
fuzzylink results |
Documentation:
Downloads:
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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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