[R-sig-ME] Anova II table, df, drop1 and very complex regression models!
David.Duffy at qimrberghofer.edu.au
Thu Sep 1 05:45:23 CEST 2016
Steven J. Pierce [pierces1 at msu.edu] wrote:
> I'd probably use Mplus (www.statmodel.com) for that, [...]
> Fortunately, the lavaan package in R replicates some of what Mplus can do.
Every couple of years, I mention OpenMx on this list:
I don't know exactly how much of Mplus's functionality it provides, but suspect it would be close to 100%.
As to the OP's question, we don't know how much data is actually missing, or what pattern that takes. We also don't know why some of the fitted models differ by 0 d.f. If we did impute the data 5 times, wouldn't that give us an 80 h run-time?
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