Several procedures have been proposed for solving nonlinear mixed effects models. Large models common in animal breeding increase importance of efficient solving methods. One tempting alternative is to approximate likelihood function by linearization, which allows use of linear mixed model methodology in the computations. Our aim was to take advantage of available software for linear models also for use in nonlinear mixed effects models. The approach is demonstrated with a small breeding value estimation problem, where weights are modeled by a Gompertz function. In practice, the approximate linearization provides a potential way to apply nonlinear mixed effects models in large scale breeding value estimation.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 25.15, 2006
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