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
|Author||Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]|
|Date of publication||2018-02-01 16:04:52 UTC|
|Maintainer||Ted Enamorado <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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