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
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
NeedsCompilation: yes
Packaged: 2026-03-10 19:14:49 UTC; hyungjoonkim
Author: Hyungjoon Kim [aut, cre],
  Andee Kaplan [aut],
  Matthew Koslovsky [aut]
Maintainer: Hyungjoon Kim <hjkim8987@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-16 16:40:26 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-03-20 18:23:24 UTC; windows
Archs: x64
