gammaKpar

Field comparisons: 0 disagreement, 2 total agreement.

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

gammaKpar function

<dl><dt>matAp</dt>
<dd>vector storing the comparison field in data set 1</dd>
<dt>matBp</dt>
<dd>vector storing the comparison field in data set 2</dd>
<dt>gender</dt>
<dd>Whether the matching variable is gender. Will override
standard warnings of missingness/nonvariability. Default is FALSE.</dd>
<dt>n.cores</dt>
<dd>Number of cores to parallelize over. Default is NULL.</dd></dl>

Arguments

Ted Enamorado &lt;ted.enamorado@gmail.com&gt;, Ben Fifield &lt;benfifield@gmail.com&gt;, and Kosuke Imai

Author

gammaKpar — gammaKpar

<dl>

<dt>matAp</dt>
<dd>vector storing the comparison field in data set 1</dd>


<dt>matBp</dt>
<dd>vector storing the comparison field in data set 2</dd>


<dt>gender</dt>
<dd>Whether the matching variable is gender. Will override
standard warnings of missingness/nonvariability. Default is FALSE.</dd>


<dt>n.cores</dt>
<dd>Number of cores to parallelize over. Default is NULL.</dd>

</dl>

gammaKpar: gammaKpar

Description

Usage

Value

Arguments

Author

Examples