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DESCRIPTION
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DESCRIPTION
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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 = "[email protected]",
role = c("aut", "cre")),
person(given = "Rebecca",
family = "Steorts",
email = "[email protected]",
role = c("aut", "ths")),
person(given = "Benjamin",
family = "Rubinstein",
email = "[email protected]",
role = c("aut", "ths")))
Maintainer: Neil Marchant <[email protected]>
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'