Dear craig
here it is
cbwa.giv <- asreml.Ainverse(cbwa.ped.df, fgen=list('fgen',0))
cbwa.Ai <- asreml.sparse2mat(cbwa.giv$ginv)
cbwa.A <- solve(cbwa.Ai)
round(A4i.mat,4)
asreml.sparse2mat() is a new method in ASReml 3.0 - download from
austatgen.org/files
warm regards
Brian Cullis
Research Leader, Biometrics &
Senior Principal Research Scientist
NSW Department of Primary Industries
Wagga Wagga Agricultural Institute
Visiting Professorial Fellow
School of Mathematics and Applied Statistics
Faculty of Informatics
University of Wollongong
Professor,
Faculty of Agriculture, Food & Natural Resources
The University of Sydney
Adjunct Professor
School of Computing and Mathematics
Charles Sturt University
Phone: 61 2 6938 1855
Fax: 61 2 6938 1809
Mobile: 0439 448 591
Received on Sat Aug 21 2009 - 13:22:56 EST
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