statefips

<p>This data maps state names to FIPS codes for
use in calculating prior movers rates.</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'' <doi:10.1017/S0003055418000783> and is available
at <https://imai.fas.harvard.edu/research/linkage.html>.

Ted Enamorado

fastLink

Fast Probabilistic Record Linkage with Missing Data

Ben Fifield

Kosuke Imai

statefips function

<p>A dataframe containing 54 observations.</p>

statefips: State-level FIPS Codes

Description

Usage

Arguments

Format