2/13/2023 0 Comments Dhglm asreml-r![]() ![]() tar.gz for Linux or Mac) is an R source package with no code to be compiled and can be installed in R in the usual way, either after. So when can I use coef() to get the BLUEs, and when is predict() nessecary?Īsr What needs to be done beyond the point of looking up the coefficients? If yes, why is predict() partially refitting the asreml model, which may take several minutes for ~8000 observations (where a complete fit took ~30 minutes).Are BLUEs the coefficients/effects of the mixed effects model in all cases, if no, what is the difference?.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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