Fast Probabilistic Record Linkage with Missing Data
c(
person("Ted", "Enamorado", email = "fastlinkr@gmail.com", role = c("aut", "cre")),
person("Ben", "Fifield", email = "fastlinkr@gmail.com", role = c("aut")),
person("Kosuke", "Imai", email = "kimai@Princeton.edu", role = c("aut"))
)
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>.
Matrix, parallel, foreach, doParallel, gtools, data.table,
stringdist, stringr, Rcpp (>= 0.12.9), Hmisc, FactoClass,
adagio, dplyr
Ted Enamorado [aut, cre],
Ben Fifield [aut],
Kosuke Imai [aut]

Matrix, parallel, foreach, doParallel, gtools, data.table,
stringdist, stringr, Rcpp (>= 0.12.9), FactoClass, adagio,
dplyr

Matrix, parallel, foreach, doParallel, gtools, data.table,
stringdist, stringr, stringi, Rcpp (>= 0.12.7), FactoClass,
adagio, dplyr, plotrix, grDevices, graphics

c(
person("Ted", "Enamorado", email = "ted.enamorado@gmail.com", role = c("aut", "cre")),
person("Ben", "Fifield", email = "benfifield@gmail.com", role = c("aut")),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut"))
)
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>.