SampleCluster

Data frame containing only categorical variables

data

Specify partition prior: "DP", "PY", "ESCNB"

Prior

burn

nsamples

Thinning for chaperones algorithm (default 1000)

spacing

TRUE for non-uniform chaperones (default)

block_flag

Posterior samples of cluster assignments and Prior parameters

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.

SampleCluster: Posterior samples of cluster assignments and Prior parameters

Description

Usage

Arguments

Value