Thanks. This information is helpful.
--- On Fri, 6/19/09, Martin Weiss <[email protected]> wrote:
> From: Martin Weiss <[email protected]>
> Subject: AW: st: growth curve model with weights
> To: [email protected]
> Date: Friday, June 19, 2009, 10:22 AM
>
> <>
>
> He is referring to the MP version of Stata that can utilize
> the computing
> power of several processors, as seen here: http://www.stata.com/statamp/
>
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: [email protected]
> [mailto:[email protected]]
> Im Auftrag von P C
> Gesendet: Freitag, 19. Juni 2009 16:21
> An: [email protected]
> Betreff: Re: st: growth curve model with weights
>
> What do you mean by "on a parallel computer, -gllamm- under
> Stata/MP4 or
> MP8?" What is MP4/MP8?
> Thanks!
>
> --- On Thu, 6/18/09, Stas Kolenikov <[email protected]>
> wrote:
>
> > From: Stas Kolenikov <[email protected]>
> > Subject: Re: st: growth curve model with weights
> > To: [email protected]
> > Date: Thursday, June 18, 2009, 3:00 PM
> > I don't really know if Mplus will
> > handle the weights the way you want.
> > But other than that it might just compute all the
> > within-between-whatever matrices at different levels
> and
> > run the model
> > very quickly with them I don't really know much more
> > though. -gllamm-,
> > on the other hand, works by integrating everything
> > numerically, and
> > that's why it is so slow. Sophia herslef
> discrecommends
> > -gllamm- for
> > continuous response data. If Mplus would also have to
> do
> > integration,
> > it would probably be through a faster binary code
> (rather
> > than the
> > interpreted code of -gllamm-). On the other hand, on
> a
> > parallel
> > computer, -gllamm- under Stata/MP4 or MP8 might beat
> Mplus
> > since Stata
> > is parallelized (and I doubt Mplus is).
> >
> > You should be able to get decent starting values from
> > unweighted
> > analysis using -xtmixed-. Good starting values can
> improve
> > estimation
> > time by a factor of two.
> >
> > On 6/18/09, P C <[email protected]>
> > wrote:
> > > Wow, it does take a lot of time. I heard about
> the
> > negative side of gllamm. I am wondering whether I
> should try
> > Mplus. Do you know if it does a better job (time-wise)
> for
> > this kind of modelling?
> > >
> > > There is a need for special handling of the
> > school-level weights. I am trying to understand it
> from her
> > paper but it's not just as simple as scaling.
> >
> > --
> > Stas Kolenikov, also found at http://stas.kolenikov.name
> > Small print: I use this email account for mailing
> lists
> > only.
> > *
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> > * http://www.ats.ucla.edu/stat/stata/
> >
>
>
>
>
>
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