# Development

# Version 1.0.1

+ Fixed CRAN errors.

# 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.

