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Record Linkage for Empirically Motivated Priors

Installation

About

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.

Key Metrics

Version 1.1.0
R ≥ 3.0.2
Published 2020-10-06 1295 days ago
Needs compilation? no
License GPL-3
CRAN checks blink results

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Maintainer

Maintainer

Rebecca Steorts

beka@stat.duke.edu

Authors

Rebecca Steorts

aut / cre

Material

Reference manual
Package source

Vignettes

Partitions

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

blink archive

Depends

R ≥ 3.0.2
stringdist
plyr

Imports

stats
utils

Suggests

knitr
rmarkdown

Reverse Depends

klsh