Post by PJ on May 27, 2014 13:53:51 GMT
Hello,
I am trying to run a bivariate GCTA analysis for a series of traits. Most analyses run correctly, but a few give the following error message:
Error: the information matrix is not invertible.
What does this mean? I also did univariate analysis for all traits, and that worked without problem. That said, the problematic traits did have very high (i.e. non-significant) p-values in the univariate analysis. I am guessing it has to do with lack of power, but any advice would be appreciated.
Thanks!
PJ
I am trying to run a bivariate GCTA analysis for a series of traits. Most analyses run correctly, but a few give the following error message:
Error: the information matrix is not invertible.
What does this mean? I also did univariate analysis for all traits, and that worked without problem. That said, the problematic traits did have very high (i.e. non-significant) p-values in the univariate analysis. I am guessing it has to do with lack of power, but any advice would be appreciated.
Thanks!
PJ
