Entity Resolution with Random Partition Priors for Microclustering

An implementation of the model in Betancourt, Zanella, Steorts (2020) , which performs microclustering models for categorical data. The package provides a vignette for two proposed methods in the paper as well as two standard Bayesian non-parametric clustering approaches for entity resolution. The experiments are reproducible and illustrated using a simple vignette. LICENSE: GPL-3 + file license.


Reference manual

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0.1.0 by Rebecca C Steorts, a year ago

Browse source code at https://github.com/cran/microclustr

Authors: Rebecca C Steorts [aut, cre] , Brenda Betancourt [aut] , Giacomo Zanella [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, stats

Suggests knitr, rmarkdown

Linking to Rcpp

See at CRAN