sampleL

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

sampleL function

<dl><dt>GA</dt>
<dd>IntegerVector of registered values for a certain Partially Identifying Variable (PIV) for linked records from A</dd>
<dt>GB</dt>
<dd>IntegerVector of registered values for a certain PIV for linked records from B</dd>
<dt>survivalpSameH</dt>
<dd>NumericVector of probabilities that the concerned PIV values coincide between file A and file B</dd>
<dt>choice_set</dt>
<dd>IntegerMatrix of 2 columns (for A and for B) with possible joint true values underlying GA and GB</dd>
<dt>choice_equal</dt>
<dd>IntegerVector of booleans indicating whether the 2 true values (from A and B) in the choice set are equal</dd>
<dt>nval</dt>
<dd>integer for the number of unique values in the PIV concerned</dd>
<dt>phikA</dt>
<dd>NumericVector parameter for the registration errors in A for the PIV concerned</dd>
<dt>phikB</dt>
<dd>NumericVector parameter for the registration errors in B for the PIV concerned</dd>
<dt>eta</dt>
<dd>NumericVector parameter for the distribution of the PIV concerned</dd></dl>

Arguments

sampleNL — sampleL

<dl>

<dt>GA</dt>
<dd>IntegerVector of registered values for a certain Partially Identifying Variable (PIV) for linked records from A</dd>


<dt>GB</dt>
<dd>IntegerVector of registered values for a certain PIV for linked records from B</dd>


<dt>survivalpSameH</dt>
<dd>NumericVector of probabilities that the concerned PIV values coincide between file A and file B</dd>


<dt>choice_set</dt>
<dd>IntegerMatrix of 2 columns (for A and for B) with possible joint true values underlying GA and GB</dd>


<dt>choice_equal</dt>
<dd>IntegerVector of booleans indicating whether the 2 true values (from A and B) in the choice set are equal</dd>


<dt>nval</dt>
<dd>integer for the number of unique values in the PIV concerned</dd>


<dt>phikA</dt>
<dd>NumericVector parameter for the registration errors in A for the PIV concerned</dd>


<dt>phikB</dt>
<dd>NumericVector parameter for the registration errors in B for the PIV concerned</dd>


<dt>eta</dt>
<dd>NumericVector parameter for the distribution of the PIV concerned</dd>

</dl>

sampleL: sampleNL

Description

Usage

Value

Arguments