Re: heterogeneous error structure

Dear Alistair,

I enclose a random regression example for your consideration.

Following is an amended version of your job.

TRAIT ~ mu SEX AGEF !r pol(sAGE,2).ANIMAL pol(sAGE,2).ide(ANIMAL) MOTHER
 !f mv
0 0 2
#1 1 3

#0 0 ID 3 # single homogeneous error variance

pol(sAGE,2).ANIMAL 2
pol(sAGE,2) 0 US !GP
1.64
0.96 7.801
0.01 0.01 0.01
ANIMAL 0 AINV

pol(sAGE,2).ide(ANIMAL) 2
pol(sAGE,2) 0 US !GP
1.64
0.96 7.801
0.01 0.01 0.01
ide(ANIMAL) 0 ID

#MOTHER 1
#MOTHER 0 IDV 0.226

This assumes an animal model with repeat observations in time
for the animals. This has a common independent residual variance plus
the animal level random regression covariance structure at the residual
and the genetic level.

You could extend it to have a random regression for the maternal
component.

It is sometimes difficult to get solutions for the US variance structures
as it is difficult to identify the good starting values. !GP should
help.

Best wishes in the Name of Jesus Christ, my Saviour.
Check out http://members.dodo.net.au/~cargovale

Arthur Gilmour PhD
Principal Research Scientist (Biometrics)
NSW Department of Primary Industries
Orange Agricultural Institute, Forest Rd, ORANGE, 2800, AUSTRALIA

mailto:Arthur.Gilmour_at_agric.nsw.gov.au
fax: 02 6391 3899; 02 6391 3922 Australia +61
telephone work: 02 6391 3815; home: 02 6364 3288;

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Ellen is doing well after her Hip replacement on 24 Feb but
she will need crutches for a while yet.
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