inspectEM

Inspect EM objects to analyze successfully and
unsuccessfully matched patterns.

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

inspectEM function

<dl><dt>object</dt>
<dd>The output from either <code>fastLink</code> or <code>emlinkMARmov</code>.</dd>
<dt>posterior.range</dt>
<dd>The range of posterior probabilities to display.
Default is c(0.85, 1).</dd>
<dt>digits</dt>
<dd>How many digits to include in inspectEM dataframe. Default is 3.</dd></dl>

Arguments

Ben Fifield &lt;bfifield@princeton.edu&gt;

Author

inspectEM — inspectEM

<dl>

<dt>object</dt>
<dd>The output from either <code>fastLink</code> or <code>emlinkMARmov</code>.</dd>


<dt>posterior.range</dt>
<dd>The range of posterior probabilities to display.
Default is c(0.85, 1).</dd>


<dt>digits</dt>
<dd>How many digits to include in inspectEM dataframe. Default is 3.</dd>

</dl>

inspectEM: inspectEM

Description

Usage

Value

Arguments

Author