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 (2017) ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'', available at < http://imai.princeton.edu/research/linkage.html>.


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install.packages("fastLink")

0.2.0 by Ted Enamorado, 3 months ago


Report a bug at https://github.com/kosukeimai/fastLink/issues


Browse source code at https://github.com/cran/fastLink


Authors: Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Matrix, parallel, foreach, doParallel, gtools, data.table, stringdist, stringr, stringi, Rcpp, FactoClass, adagio, dplyr, plotrix, grDevices, graphics

Linking to RcppArmadillo, Rcpp, RcppEigen


See at CRAN