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 (2019) ”Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records” <doi:10.1017/S0003055418000783> and is available at <https://imai.fas.harvard.edu/research/linkage.html>.
Version: 0.6.1 Depends: R (≥ 2.14.0) Imports: Matrix, parallel, foreach, doParallel, gtools, data.table, stringdist, stringr, stringi, Rcpp (≥ 0.12.7), adagio, dplyr, plotrix, grDevices, graphics, methods LinkingTo: RcppArmadillo, Rcpp, RcppEigen Suggests: testthat Published: 2023-11-17 DOI: 10.32614/CRAN.package.fastLink Author: Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut] Maintainer: Ted Enamorado <ted.enamorado at gmail.com> BugReports: https://github.com/kosukeimai/fastLink/issues License: GPL (≥ 3) NeedsCompilation: yes In views: MissingData, OfficialStatistics CRAN checks: fastLink results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastLink to link to this page.
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