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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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