<p>This data is a randomized and anonymized sample dataset
to display features of fastLink.</p>

dataset

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'', American Political Science Review and is available
at <http://imai.fas.harvard.edu/research/linkage.html>.

Ted Enamorado

fastLink

Fast Probabilistic Record Linkage with Missing Data

Ben Fifield

Kosuke Imai

dfB function

<p>A dataframe containing 350 observations.</p>

State of Data and AI Literacy Report 2025

dfB: Sample dataset B

Description

Usage

Arguments

Format