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”, American Political Science Review and is available
at <http://imai.fas.harvard.edu/research/linkage.html>.
| Version: |
0.6.0 |
| Depends: |
R (≥ 2.14.0) |
| Imports: |
Matrix, parallel, foreach, doParallel, gtools, data.table, stringdist, stringr, stringi, Rcpp (≥ 0.12.7), FactoClass, adagio, dplyr, plotrix, grDevices, graphics |
| LinkingTo: |
RcppArmadillo, Rcpp, RcppEigen |
| Suggests: |
testthat |
| Published: |
2020-04-29 |
| 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:
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