Package: blink Type: Package Title: Record Linkage for Empirically Motivated Priors Version: 1.1.0 Authors@R: person("Rebecca", "Steorts", email = "beka@stat.duke.edu", role = c("aut", "cre")) Depends: R (>= 3.0.2), stringdist, plyr Imports: stats, utils Suggests: knitr, rmarkdown Encoding: UTF-8 VignetteBuilder: knitr Description: An implementation of the model in Steorts (2015) , 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. License: GPL-3 LazyData: TRUE RoxygenNote: 7.1.1.9000 NeedsCompilation: no Packaged: 2026-11-03 19:04:28 UTC; root Author: Rebecca Steorts [aut, cre] Maintainer: Rebecca Steorts Repository: https://cranhaven.r-universe.dev Date/Publication: 2026-11-03 06:02:00 UTC RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev RemoteRef: package/blink RemoteSha: 2622650500ba6c52e00c3f4d9079acf0b64828de RemoteSubdir: blink