I will check out the lavaan package.
Dear Joshua,
The lavaan package may help you. The FIML estimator typically starts
with the EM algorithm to estimate the moments of the unrestricted model.
There is no 'one-shot' function for it, at the moment, but if you only
need those moments, you
Dear John,
Thanks very much for the reply. Looking at the optimizers, I had
thought that the objectiveML did what I wanted. I appreciate the
clarification.
I think that multiple imputation is more flexible in some ways because
you can easy create different models for every variable. At the
They look fine to me.
luke
On Fri, 13 Jul 2012, Joshua Wiley wrote:
Dear John,
Thanks very much for the reply. Looking at the optimizers, I had
thought that the objectiveML did what I wanted. I appreciate the
clarification.
I think that multiple imputation is more flexible in some ways
Apologies -- replied to the wrong message.
luke
On Fri, 13 Jul 2012, luke-tier...@uiowa.edu wrote:
They look fine to me.
luke
On Fri, 13 Jul 2012, Joshua Wiley wrote:
Dear John,
Thanks very much for the reply. Looking at the optimizers, I had
thought that the objectiveML did what I
Dear Joshua,
If I understand correctly what you want to do, the sem package won't do it.
That is, the sem() function won't do what often is called FIML estimation
for models with missing data. I've been thinking about implementing this
feature, and don't think that it would be too difficult, but
Hello,
There's a package, lavaan, that implements FIML as an option of function
sem(). I have never used it, though, so I can't say much about it.
Hope this helps,
Rui Barradas
Em 12-07-2012 16:20, John Fox escreveu:
Dear Joshua,
If I understand correctly what you want to do, the sem
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