Package: chomper Title: A Comprehensive Hit or Miss Probabilistic Entity Resolution Model Version: 0.1.3 Authors@R: c(person("Hyungjoon", "Kim", email = "hjkim8987@gmail.com", role = c("aut", "cre")), person("Andee", "Kaplan", email = "Andee.Kaplan@colostate.edu", role = c("aut")), person("Matthew", "Koslovsky", email = "Matt.Koslovsky@colostate.edu", role = c("aut"))) Description: 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. License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 LinkingTo: Rcpp, RcppArmadillo, RcppThread Imports: Rcpp Depends: R (>= 3.5) LazyData: true Suggests: blink, ggplot2, knitr, patchwork, rmarkdown, salso, spelling VignetteBuilder: knitr URL: https://github.com/hjkim8987/chomper BugReports: https://github.com/hjkim8987/chomper/issues Language: en-US Repository: https://hjkim8987.r-universe.dev Date/Publication: 2026-03-18 00:32:11 UTC RemoteUrl: https://github.com/hjkim8987/chomper RemoteRef: HEAD RemoteSha: 70ff3b0e80d4558ca1d25f325a0462d1d36bdbda NeedsCompilation: yes Packaged: 2026-06-16 07:16:21 UTC; root Author: Hyungjoon Kim [aut, cre], Andee Kaplan [aut], Matthew Koslovsky [aut] Maintainer: Hyungjoon Kim