DESCRIPTION

Package: exchanger
Type: Package
Title: Bayesian Entity Resolution with Exchangeable Random Partition Priors
Version: 0.3.0
Date: 2023-01-25
Authors@R: c(
    person(given = "Neil", 
           family = "Marchant", 
           email = "ngmarchant@gmail.com", 
           role = c("aut", "cre")),
    person(given = "Rebecca",
           family = "Steorts", 
           email = "beka@stat.duke.edu",
           role = c("aut", "ths")),
    person(given = "Benjamin",
           family = "Rubinstein", 
           email = "brubinstein@unimelb.edu.au", 
           role = c("aut", "ths")))
Maintainer: Neil Marchant <ngmarchant@gmail.com>
Description: Implements a Bayesian model for entity resolution as described 
    in Marchant et al. (2023). The model assumes records are generated from 
    a latent population of entities via a distortion process. The records are 
    assumed to be (infinitely) exchangeable, and several priors on the 
    linkage/clustering structure compatible with this assumption are 
    implemented. The model is fitted using a Markov chain Monte Carlo 
    algorithm. 
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.12),
    coda (>= 0.17-1),
    future.apply (>= 1.0.0),
    comparator (>= 0.1.1),
    methods,
    mcmcse (>= 1.4)
LinkingTo: Rcpp, 
    RcppArmadillo, 
    RcppProgress, 
    BH (>= 1.69.0)
LazyData: true
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
Encoding: UTF-8
BugReports: https://github.com/cleanzr/exchanger/issues
URL: https://github.com/cleanzr/exchanger
Suggests: knitr,
    rmarkdown,
    clevr (>= 0.1.1)
VignetteBuilder: knitr
Collate: 
    'RV.R'
    'GammaRV.R'
    'DirichletProcess.R'
    'utils.R'
    'BetaRV.R'
    'Attribute.R'
    'AttributeIndex.R'
    'DirichletRV.R'
    'RP.R'
    'ExchangERModel.R'
    'ExchangERFit.R'
    'sample_ep.R'
    'GeneralizedCouponRP.R'
    'PitmanYorRP.R'
    'RcppExports.R'
    'ShiftedNegBinomRV.R'
    'analysis.R'
    'coreference_probs.R'
    'data.R'
    'exchanger-package.R'
    'extract.R'
    'run_inference.R'
    'transform_dist_fn.R'