fastLink-package

<p><code>fastLink</code> implements methods developed by Enamorado, Fifield, and Imai (2017)
''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.</p>

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'', available at <http://imai.princeton.edu/research/linkage.html>.

Package:	fastLink
Type:	Package
Version:	0.1.1-
Date:	2017-07-10
License:	GPL (>= 3)

fastLink-package: Fast Probabilistic Record Linkage with Missing Data

Description

Arguments

Details

References