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>.
|Author||Ted Enamorado [aut, cre], Ben Fifield [aut], Kosuke Imai [aut]|
|Maintainer||Ted Enamorado <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.