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) <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. 
License: GPL-3
LazyData: TRUE
RoxygenNote: 7.1.1.9000
NeedsCompilation: no
Packaged: 2020-09-30 21:00:40 UTC; rebeccasteorts
Author: Rebecca Steorts [aut, cre]
Maintainer: Rebecca Steorts <beka@stat.duke.edu>
Repository: CRAN
Date/Publication: 2020-10-06 09:50:02 UTC
Built: R 4.4.0; ; 2024-04-28 06:49:46 UTC; unix
