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 URL: https://github.com/cleanzr/blink BugReports: https://github.com/cleanzr/blink/issues RoxygenNote: 7.1.1.9000 Repository: https://cleanzr.r-universe.dev Date/Publication: 2024-01-10 00:23:14 UTC RemoteUrl: https://github.com/cleanzr/blink RemoteRef: HEAD RemoteSha: 7aae7e9dbbb8cfd244a5766cb6489b07674b8b8b NeedsCompilation: no Packaged: 2026-07-13 08:54:35 UTC; root Author: Rebecca Steorts [aut, cre] Maintainer: Rebecca Steorts