identity.RLdata500

<p>Unique identifier for RLdata500 the corresponds to the record number
format A vector that contains the codeid</p>

datasets

An implementation of the model in Steorts (2015) <DOI:10.1214/15-BA965SI>, which performs Bayesian entity resolution for categorical and text data, for any distance function defined by the user. In addition, the precision and recall are in the package to allow one to compare to any other comparable method such as logistic regression, Bayesian additive regression trees (BART), or random forests. The experiments are reproducible and illustrated using a simple vignette. LICENSE: GPL-3 + file license.

Rebecca Steorts

blink

Record Linkage for Empirically Motivated Priors

identity.RLdata500 function

<p>An object of class <code>numeric</code> of length 500.</p>

identity.RLdata500: identity.RLdata500

Description

Usage

Arguments

Format