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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "chomper" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'chomper: A Comprehensive Hit or Miss Probabilistic Entity Resolution Model'
version: 0.1.3
doi: 10.32614/CRAN.package.chomper
abstract: 'Provides Bayesian probabilistic methods for record linkage and entity resolution
  across multiple datasets using the Comprehensive Hit Or Miss Probabilistic Entity
  Resolution (CHOMPER) model. The package implements three main inference approaches:
  (1) Evolutionary Variational Inference for record Linkage (EVIL), (2) Coordinate
  Ascent Variational Inference (CAVI), and (3) Markov Chain Monte Carlo (MCMC) with
  split and merge process. The model supports both discrete and continuous fields,
  and it performs locally-varying hit mechanism for the attributes with multiple truths.
  It also provides tools for performance evaluation based on either approximated variational
  factors or posterior samples. The package is designed to support parallel computing
  with multi-threading support for EVIL to estimate the linkage structure faster.'
authors:
- family-names: Kim
  given-names: Hyungjoon
  email: hjkim8987@gmail.com
- family-names: Kaplan
  given-names: Andee
  email: Andee.Kaplan@colostate.edu
- family-names: Koslovsky
  given-names: Matthew
  email: Matt.Koslovsky@colostate.edu
repository: https://hjkim8987.r-universe.dev
repository-code: https://github.com/hjkim8987/chomper
commit: 70ff3b0e80d4558ca1d25f325a0462d1d36bdbda
url: https://github.com/hjkim8987/chomper
date-released: '2026-03-18'
contact:
- family-names: Kim
  given-names: Hyungjoon
  email: hjkim8987@gmail.com