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uses random simulation to create multiple imputed datasets.
This is not a compromise, and it makes computations easy that would
otherwise be impossible. If you need more precision, increase
_AMnds. If you really want exactly the same numbers for
each replication, set the Gauss random number seed with the Gauss
command rndseed before running
.
Like every numerical optimization algorithm, the EM stage of the
algorithm can sometimes settle on a local rather than a global
maximum. You could try different starting values for the theta matrix
of sufficient statistics using the global _AMstart in
amelia if this seems likely.
Gary King
2003-07-25