This open-source software package
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.''