diff --git a/DESCRIPTION b/DESCRIPTION
index bcadc74..42a23bb 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: wru
 Title: Who are You? Bayesian Prediction of Racial Category Using Surname,
     First Name, Middle Name, and Geolocation
-Version: 3.0.2
-Date: 2024-04-04
+Version: 3.0.3
+Date: 2024-05-24
 Authors@R: c(
     person("Kabir", "Khanna", , "kabirkhanna@gmail.com", role = "aut"),
     person("Brandon", "Bertelsen", , "brandon@bertelsen.ca", role = c("aut", "cre")),
@@ -55,4 +55,4 @@ LazyData: yes
 LazyDataCompression: xz
 LazyLoad: yes
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.1
diff --git a/R/race_prediction_funs.R b/R/race_prediction_funs.R
index f883336..77ff933 100644
--- a/R/race_prediction_funs.R
+++ b/R/race_prediction_funs.R
@@ -415,16 +415,14 @@ predict_race_new <- function(
     }
   }
   
-  ## Normalize (recycle marginal)
-  preds <- preds/rowSums(preds)
-  ## Revert to Pr(Race|Surname) for missing predictions
   if(impute.missing){
-    miss_ind <- !is.finite(preds$c_whi_last)
-    if(any(miss_ind)){
-      preds[miss_ind,] <- voter.file[miss_ind, grep("_last$", names(voter.file))] * 
-        matrix(race.margin, nrow=nrow(voter.file[miss_ind,]), ncol=length(race.margin), byrow = TRUE)
-    }
+   for(i in ncol(preds)){
+     preds[, i] <- dplyr::coalesce(preds[, i], race.margin[i])
+   }
   }
+  ## Normalize (recycle marginal)
+  preds <- preds/rowSums(preds)
+  ## Revert to national Pr(Race) for missing predictions
   colnames(preds) <- paste("pred", eth, sep = ".")
   
   return(data.frame(cbind(voter.file[c(vars.orig)], preds)))