[Mediation-information] Handling missing data

[Isaac Petersen]

Are there plans for the mediation package to handle missing data using all
of the available information (e.g., full information maximum likelihood)
like the bmem package?  Maximum likelihood handling of missing data would
be preferable in my situation to listwise deletion or multiple imputation.
 Bmem doesn't handle clustering, however, so I'm stuck between the two
packages.  If there aren't current plans to implement maximum likelihood
handling of missing data, I hope you'll consider it.  It would greatly
expand the utility of the software so that one doesn't have to rely on
listwise deletion (which is generally ill-advised) or on external packages
for multiple imputation (which works best with larger sample sizes with low
rates of missingness, and can be a headache when combining results across
many data sets).

Thanks!
-Isaac
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