Package: fastLink
Type: Package
Title: Fast Probabilistic Record Linkage with Missing Data
Version: 0.5.0
Date: 2018-11-01
Authors@R: c(
  person("Ted", "Enamorado", email = "fastlinkr@gmail.com", role = c("aut", "cre")),
  person("Ben", "Fifield", email = "fastlinkr@gmail.com", role = c("aut")),
  person("Kosuke", "Imai", email = "kimai@Princeton.edu", role = c("aut"))
  )
Description: Implements a Fellegi-Sunter probabilistic record linkage model that allows for missing data
    and the inclusion of auxiliary information. This includes functionalities to conduct a merge of two datasets under the Fellegi-Sunter model
    using the Expectation-Maximization algorithm. In addition, tools for preparing, adjusting, and summarizing
    data merges are included. The package implements methods described in Enamorado, Fifield,
    and Imai (2017) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative
    Records'', available at <http://imai.princeton.edu/research/linkage.html>.
License: GPL (>= 3)
Imports: Matrix, parallel, foreach, doParallel, gtools, data.table,
        stringdist, stringr, stringi, Rcpp (>= 0.12.7), FactoClass,
        adagio, dplyr, plotrix, grDevices, graphics
Depends: R (>= 2.14.0)
LinkingTo: RcppArmadillo, Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/kosukeimai/fastLink/issues
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2018-11-02 15:23:12 UTC; benfifield
Author: Ted Enamorado [aut, cre],
  Ben Fifield [aut],
  Kosuke Imai [aut]
Maintainer: Ted Enamorado <fastlinkr@gmail.com>
Repository: CRAN
Date/Publication: 2018-11-12 16:50:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 11:31:55 UTC; windows
Archs: i386, x64
