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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("microclustr")

0.1.0 by Rebecca C Steorts, a month 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