[R] standard error of variances and covariances of the random effects with LME
HDoran at air.org
Thu Sep 29 15:24:52 CEST 2005
You cannot. 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.
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
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.
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