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microclustr: Entity Resolution with Random Partition Priors for Microclustering
An implementation of the model in Betancourt, Zanella, Steorts (2020) <arXiv:2004.02008>, 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.
Getting started
Browse package contents
Package details |
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| Author | Rebecca C Steorts [aut, cre], Brenda Betancourt [aut], Giacomo Zanella [aut] |
| Maintainer | Rebecca C Steorts <beka@stat.duke.edu> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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