fastLink: Fast Probabilistic Record Linkage with Missing Data
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 |
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