Development

Version 1.0.0

• Implemented comparison functions abs_distance and jarowinkler_complement.
• Added support for comparing two datasets using comparison functions.
• Added support for training a supervised record linkage model using probability or density ratio estimation, based on the following methods: "binary", "continuous_parametric", and "continuous_nonparametric".
• Added support for creating a supervised record linkage model using a custom machine learning (ML) classifier.
• Added support for predicting matches based on a record linkage model.
• Added the unsupervised maximum entropy classification (MEC) algorithm for record linkage. Supported methods are: "binary", "continuous_parametric", "continuous_nonparametric", and "hit-miss".
• Added support for creating the predicted set of matches based on: its estimated size, a target False Link Rate (FLR) or a target Missing Match Rate (MMR).
• Implemented S3 methods for printing.
• Added support for evaluation when true matches are known.
• Added documentation and examples.