fastLink-package

Fast Probabilistic Record Linkage with Missing Data

fastLink implements methods developed by Enamorado, Fifield, and Imai (2018) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'', to probabilistically merge large datasets using the Fellegi-Sunter model while allowing for missing data and the inclusion of auxiliary information. The current version of this package conducts a merge of two datasets under the Fellegi-Sunter model, using the Expectation-Maximization Algorithm. In addition, tools for conducting and summarizing data merges are included. package

References

Enamorado, Ted, Ben Fifield and Kosuke Imai. (2019) "Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records." American Political Science Review. Vol. 113, No. 2. Available at https://imai.fas.harvard.edu/research/files/linkage.pdf.

Author(s)

Ted Enamorado ted.enamorado@gmail.com , Ben Fifield benfifield@gmail.com , and Kosuke Imai imai@harvard.edu

Maintainer: Ted Enamorado ted.enamorado@gmail.com