This confuses me, and leads to my three questions: Even though the result is exactly the same as I get when just reading the coefficients from the data structure of the model using coef, which completes virtually instantaneously. The second approach, predict, itself calls update.asreml which leads to some iterative algorithm, it seems to partially refit the model even though it was already fitted to the data before. predict() (calls asreml:::predict.asreml()) like in this forum post.coef() (calls asreml:::coef.asreml()) like in this SO answer or in this blog entry. ![]() I've found two different ways how people do this: ![]() I am using asreml-R to model genotypic effects of crop field trials and I am confused on how to get best linear unbiased estimates for crop varieties of the model.
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