I'm trying to run overimputation as a diagnostic on a large data set with
20 multiple imputations from Amelia. The overimputation diagnostic on one
variable takes a long time to complete (more than 2 weeks). Is there any
way to expedite the overimputation procedure? For example, would using the
subset argument to select a subset of cases expedite the procedure? If so,
how would one use the subset argument? I tried using a vector of
TRUEs/FALSEs to indicate whether to keep a row, but I received an error.
Any suggestions for expediting overimpute and/or using the subset argument
of overimpute() would be very helpful.
Thanks!
-Isaac