fastLink: Fast Probabilistic Record Linkage with Missing Data

Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data and the inclusion of auxiliary information. This includes functionalities to conduct a merge of two datasets under the Fellegi-Sunter model using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting, and summarizing data merges are included. The package implements methods described in Enamorado, Fifield, and Imai (2017) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'', available at <>.

Package details

AuthorTed Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]
MaintainerTed Enamorado <[email protected]>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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fastLink documentation built on Nov. 12, 2018, 5:05 p.m.