Re: Singularity in Average Information Matrix

Dear Moshen,

You did not include the .giv file so I can't rerun your job.

You reported an iteration sequence

Initial updates will be shrunk by factor 0.224
1 LogL=-43.4186 S2= 613.31 11 df 1.000 0.3000 0.1000
2 LogL=-41.7362 S2= 178.33 11 df 1.000 2.890 0.5409

3 LogL=-40.8129 S2= 19.986 11 df : 2 components constrained
4 LogL=-40.6964 S2= 1.2961 11 df : 2 components constrained
5 LogL=-40.6888 S2= 0.82104E-01 11 df : 2 components constrained
6 LogL=-40.6883 S2= 0.51932E-02 11 df : 1 components constrained

which indicates the residual variance becoming small so this is likely the
problem.
The AI singularity error did not occur in the first iteration so the
problem is not
structural but numeric.

You could test this by adding some extra residual variance i.e.

  phenotype !NORMAL 0.5

With a very small data set, it is not unlikely that estimated parameters
want to
move outside the parameter space, particularly when using an animal model.

I trust this helps.

Grace, mercy and peace to you from God our Saviour Jesus Christ

Arthur Gilmour PhD
mailto:Arthur.Gilmour_at_dpi.nsw.gov.au
Principal Research Scientist (Biometrics)
NSW Department of Primary Industries
Orange Agricultural Institute, Forest Rd, ORANGE, 2800, AUSTRALIA

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Received on Sat Dec 11 2006 - 12:08:30 EST