Fast Probabilistic Record Linkage with Missing Data R package fastLink version 0.6.1 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) CRAN Task View: OfficialStatistics (https://CRAN.R-project.org/view=OfficialStatistics) 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>. Software 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 Ted Enamorado <ted.enamorado@gmail.com> Comprehensive R Archive Network (CRAN) Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut] GPL (>= 3) 2023-11-17 application/tgz https://CRAN.R-project.org/package=fastLink doi:10.32614/CRAN.package.fastLink