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Re: st: gllamm and mim output for multi-level model

From   Stas Kolenikov <[email protected]>
To   [email protected]
Subject   Re: st: gllamm and mim output for multi-level model
Date   Tue, 19 Oct 2010 17:27:48 -0500

On Mon, Oct 18, 2010 at 8:34 AM, Christian Villenas <[email protected]> wrote:
> Thanks so much for your response. I guess for me the confusion still
> lies in the output. If it's a matter of learning Cholesky
> decomposition, why does the gllamm output (without mim) provide the
> variances/covariances? Are you saying that I need to learn Cholesky
> decomposition in order to somehow aggregate the imputed data to get
> the  level 1 and 2 variance/covariances?

I don't know the exact mechanics, but more likely than not is that
Sophia computes the necessary delta-method derivatives directly in
-gllamm-, rather than uses Stata standard tools like -nlcom- or
-testnl-. In order for you to understand how this stuff works, you do
need to figure out Cholesky decomposition, although in your case you'd
only need to figure out how to get the covariance matrix from its
Cholesky factorization.

Stas Kolenikov, also found at
Small print: I use this email account for mailing lists only.

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