I'm looking to speed up the run time of a single imputation on a large data
set with repeated measures that takes many hours. Will running the
imputation in parallel with the parallel="multicore" option and 6 cores
speed up the run time of a single imputation, or will it only speed up the
run time of multiple imputations (by running them simultaneously)? What
are my best options for making the single imputation run faster while
minimizing any sacrifices in imputation accuracy?
Many thanks!
-Isaac
