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 (2019) ”Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records”
- Version0.6.1
- R version≥ 2.14.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release11/17/2023
Documentation
Team
Ted Enamorado
Ben Fifield
Show author detailsRolesAuthorKosuke Imai
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- Depends1 package
- Imports16 packages
- Suggests1 package
- Linking To3 packages
- Reverse Imports1 package