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blink  

Record Linkage for Empirically Motivated Priors
View on CRAN: Click here


Download and install blink package within the R console
Install from CRAN:
install.packages("blink")

Install from Github:
library("remotes")
install_github("cran/blink")

Install by package version:
library("remotes")
install_version("blink", "1.1.0")



Attach the package and use:
library("blink")
Maintained by
Rebecca Steorts
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-07
Latest Update: 2020-10-06
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.
How to cite:
Rebecca Steorts (2017). blink: Record Linkage for Empirically Motivated Priors. R package version 1.1.0, https://cran.r-project.org/web/packages/blink. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 0.1.0 (2017-08-07 07:53), 1.0.0 (2019-12-25 13:55)
Other packages that cited blink R package
View blink citation profile
Other R packages that blink depends, imports, suggests or enhances
Complete documentation for blink
Functions, R codes and Examples using the blink R package
Some associated functions: RLdata500 . check_IDs . identity.RLdata500 . links.compare . links . mms . mpmms . pairwise . rl.gibbs . 
Some associated R codes: analyzeGibbs.R . data.R . ebGibbsSampler.R .  Full blink package functions and examples
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