A Comprehensive Hit or Miss Probabilistic Entity Resolution Model

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Documentation for package ‘chomper’ version 0.1.3

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

Help Pages

chomper-package	chomper: A Comprehensive Hit or Miss Probabilistic Entity Resolution Model
chomper	chomper: A Comprehensive Hit or Miss Probabilistic Entity Resolution Model
chomperCAVI	CHOMPER with a single Coordinate Ascent Variational Inference
chomperEVIL	CHOMPER with Evolutionary Variational Inference for Record Linkage
chomperMCMC	CHOMPER with Markov chain Monte Carlo with Split and Merge Process
flatten_posterior_samples	Flatten the posterior samples, lambda, into a matrix
generate_sample_data	Generate synthetic data for record linkage
italy	Italian Survey on Household Income and Wealth (ISHIW) data from 2020 and 2022
performance	Evaluate the performance of the linkage structure estimation
psm_mcmc	Calculate the posterior similarity matrix
psm_vi	Calculate the posterior similarity matrix
simulation.high	Synthetic data with high overlap ratio (70%)
simulation.low	Synthetic data with low overlap ratio (30%)
simulation.medium	Synthetic data with medium overlap ratio (50%)