R: A Comprehensive Hit or Miss Probabilistic Entity Resolution Model

# A Comprehensive Hit or Miss Probabilistic Entity Resolution Model

## 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%)