blink: Record Linkage for Empirically Motivated Priors

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.

Version: 1.1.0
Depends: R (≥ 3.0.2), stringdist, plyr
Imports: stats, utils
Suggests: knitr, rmarkdown
Published: 2020-10-06
Author: Rebecca Steorts [aut, cre]
Maintainer: Rebecca Steorts <beka at stat.duke.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: blink results

Downloads:

Reference manual: blink.pdf
Vignettes: Partitions
Package source: blink_1.1.0.tar.gz
Windows binaries: r-devel: blink_1.1.0.zip, r-release: blink_1.1.0.zip, r-oldrel: blink_1.1.0.zip
macOS binaries: r-release: blink_1.1.0.tgz, r-oldrel: blink_1.1.0.tgz
Old sources: blink archive

Reverse dependencies:

Reverse depends: klsh
Reverse suggests: representr

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