Hi, I want to impute a data set multiple times, but the data set is large so it takes a long time. As a result, I'm trying to run the multiple imputation with parallel processors in Windows, but am having trouble. Here is a quick example: ###### library(foreach) library(doSNOW) registerDoSNOW(makeCluster(4, type = "SOCK")) getDoParWorkers() getDoParName() getDoParVersion() data(africa) iterations <- 4 foreach(i = 1:iterations) %dopar% { amelia(x = africa, m=1, cs = "country", ts = "year", logs = "gdp_pc") } ###### When I run the foreach loop, I receive the following warning Error in { : task 1 failed - "could not find function "amelia"" This is a bizarre error because I have loaded the amelia package and can impute data sets fine outside of the foreach loop. Moreover, if I change %dopar% to %do% to run the imputations in sequence rather than in parallel, the imputations run fine with no errors. How do I get Amelia to impute one data set (m=1) on each of 4 different processors. Finally, how do I combine the data sets after imputing them in parallel -- I assume using the ameliabind() function? How can I do this? Thanks for all your help. By the way, I'm new to Amelia, so any help would be greatly appreciated!