Calculating standard errors of variance estimates in ASRemlR

From: michelleclements <asremlforum_at_VSNI.CO.UK>
Date: Wed, 1 Jul 2009 10:26:43 +0100

Dear all,

I am using ASReml-R to run a Gaussian model with a single response variable and multiple fixed and random effects, and I am having problems investigating associations between random effects.

I was under the impression that taking the square root of the diagonal elements of the inverse average information matrix obtained from model$ai , would give you the standard error of the variance component estimates as outputted in summary(model)$varcomp.

However I can only get the residual variance to give the correct answer, even when I have tried to weight by the gamma component and am unsure about how best to proceed.

Any help you could give would be most gratefully received


Michelle Clements

-------------------- m2f --------------------

Sent using Mail2Forum (

Read this topic online here:

-------------------- m2f --------------------
Received on Thu Jul 01 2009 - 10:26:43 EST

This webpage is part of the ASReml-l discussion list archives 2004-2010. More information on ASReml can be found at the VSN website. This discussion list is now deprecated - please use the VSN forum for discussion on ASReml. (These online archives were generated using the hypermail package.)