Implementation of the Stochastic Expectation Maximisation (StEM) approach to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A. van de Wiel and M. H. Hof (2024, <doi:10.48550/arXiv.2407.06835>); see 'citation("FlexRL")' for details. This is a record linkage method, for finding the common set of records among 2 data sources based on Partially Identifying Variables (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying Variables (e.g. postal code) that may evolve over time and registration errors (missing values and mistakes in the registration). Low memory footprint.

Kayané ROBACH

FlexRL

A Flexible Model for Record Linkage

F33 function

<dl><dt>A</dt>
<dd>List with for each pattern in value, count of the records having the pattern in the concerned source</dd>
<dt>B</dt>
<dd>List with for each pattern in value, count of the records having the pattern in the concerned source</dd>
<dt>nvals</dt>
<dd>integer for the total number of possible patterns (among all sources)</dd></dl>

Arguments

F33 — F33

<dl>

<dt>A</dt>
<dd>List with for each pattern in value, count of the records having the pattern in the concerned source</dd>


<dt>B</dt>
<dd>List with for each pattern in value, count of the records having the pattern in the concerned source</dd>


<dt>nvals</dt>
<dd>integer for the total number of possible patterns (among all sources)</dd>

</dl>

F33: F33

Description

Usage

Value

Arguments