aggregateEM

<code>aggregateEM</code> aggregates EM objects for easy processing by `summary.fastLink()`

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

aggregateEM function

<dl><dt>em.list</dt>
<dd>A list of `fastLink` or `fastLink.EM` objects that should be aggregate
in `summary.fastLink()`</dd>
<dt>within.geo</dt>
<dd>A vector of booleans corresponding to whether each object in `em.list`
is a within-geography match or an across-geography match. Should be of equal length to
`em.list`. Default is NULL (assumes all are within-geography matches).</dd></dl>

Arguments

Aggregate EM objects for use in `summary.fastLink()` — aggregateEM

<dl>

<dt>em.list</dt>
<dd>A list of `fastLink` or `fastLink.EM` objects that should be aggregate
in `summary.fastLink()`</dd>


<dt>within.geo</dt>
<dd>A vector of booleans corresponding to whether each object in `em.list`
is a within-geography match or an across-geography match. Should be of equal length to
`em.list`. Default is NULL (assumes all are within-geography matches).</dd>

</dl>

aggregateEM: Aggregate EM objects for use in `summary.fastLink()`

Description

Usage

Arguments