automatedRecLin1.0.1 package

Record Linkage Based on an Entropy-Maximizing Classifier

abs_distance

Absolute Distance Comparison Function

comparison_vectors

Create Comparison Vectors for Record Linkage

control_kliep

Controls for the kliep Function

custom_rec_lin_model

Create a Custom Record Linkage Model

jarowinkler_complement

Jaro-Winkler Distance Complement

mec

Unsupervised Maximum Entropy Classifier for Record Linkage

predict.rec_lin_model

Predict Matches Based on a Given Record Linkage Model

train_rec_lin

Train a Record Linkage Model

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The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.

  • Maintainer: Adam Struzik
  • License: GPL-3
  • Last published: 2025-12-13

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