Nothing
#' Fast Probabilistic Record Linkage with Missing Data
#'
#' \code{fastLink} implements methods developed by Enamorado, Fifield, and Imai (2018)
#' ''Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records'',
#' to probabilistically merge large datasets using the Fellegi-Sunter model
#' while allowing for missing data and the inclusion of auxiliary information.
#' The current version of this package conducts a merge of two datasets under
#' the Fellegi-Sunter model, using the Expectation-Maximization Algorithm. In addition,
#' tools for conducting and summarizing data merges are included.
#'
#' @name fastLink-package
#' @useDynLib fastLink, .registration = TRUE
#' @aliases fastLink-package
#' @docType package
#' @author Ted Enamorado \email{ted.enamorado@@gmail.com}, Ben Fifield \email{benfifield@@gmail.com}, and Kosuke Imai \email{imai@@harvard.edu}
#'
#' Maintainer: Ted Enamorado \email{ted.enamorado@@gmail.com}
#' @references Enamorado, Ted, Ben Fifield and Kosuke Imai. (2019) "Using a Probabilistic Model to Assist Merging of
#' Large-scale Administrative Records." American Political Science Review. Vol. 113, No. 2. Available at \url{https://imai.fas.harvard.edu/research/files/linkage.pdf}.
#' @keywords package
#' @import Matrix data.table
#' @importFrom Rcpp evalCpp
#' @importFrom stats kmeans na.omit prcomp predict quantile var
#' @importFrom utils data
NULL
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.