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

F2 function

<dl><dt>U</dt>
<dd>IntegerVector with factor values corresponding to the patterns of Partially Identifying Variables (PIVs) observed among records in the concerned source</dd>
<dt>nvals</dt>
<dd>integer for the total number of possible patterns (among all sources)</dd></dl>

Arguments

F2 — F2

<dl>

<dt>U</dt>
<dd>IntegerVector with factor values corresponding to the patterns of Partially Identifying Variables (PIVs) observed among records in the concerned source</dd>


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

</dl>

F2: F2

Description

Usage

Value

Arguments