up 0.6.0 submission

DESCRIPTION

@@ -4,16 +4,16 @@ Title: Fast Probabilistic Record Linkage with Missing Data
 Version: 0.6.0
 Date: 2020-04-25
 Authors@R: c(
-  person("Ted", "Enamorado", email = "fastlinkr@gmail.com", role = c("aut", "cre")),
-  person("Ben", "Fifield", email = "fastlinkr@gmail.com", role = c("aut")),
+  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 = "[email protected]", role = c("aut"))
   )
 Description: 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'', forthcoming in American Political Science Review and is available 
+    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>.
 License: GPL(>= 3)
 Imports:

R/fastLink-package.R

@@ -15,11 +15,11 @@
 #' @useDynLib fastLink, .registration = TRUE
 #' @aliases fastLink-package 
 #' @docType package
-#' @author Ted Enamorado \email{fastlinkr@@gmail.com}, Ben Fifield \email{fastlinkr@@gmail.com}, and Kosuke Imai \email{kimai@@princeton.edu}
+#' @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{fastlinkr@@gmail.com}
-#' @references Enamorado, Ted, Ben Fifield and Kosuke Imai. (2018) "Using a Probabilistic Model to Assist Merging of
-#' Large-scale Administrative Records." Forthcoming, American Political Science Review. Available at \url{http://imai.princeton.edu/research/linkage.html}.
+#' 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