[R] standard error of variances and covariances of the random effects with LME

[Kjetil Holuerson]

Doran, Harold wrote:
> You cannot.

Yes. But when it is really needed, as the original poster
said, what would be wrong with taking the length of a
95% confidence interval and dividing into 4?

(of course it will be wrong, but so much as to be useless?)

Kjetil



  Also, it's not that the distribution of the random effects
> is not symmetric, but that it *may* not be symmetric, and this is an
> assumption that should be checked. 
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Roel de Jong
> Sent: Thursday, September 29, 2005 9:20 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] standard error of variances and covariances of the random
> effects with LME
> 
> Hello,
> 
> how do I obtain standard errors of variances and covariances of the
> random effects with LME comparable to those of for example MlWin? I know
> you shouldn't use them because the distribution of the estimator isn't
> symmetric blablabla, but I need a measure of the variance of those
> estimates for pooling my multiple imputation results.
> 
> Regards,
>    Roel.
> 
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