Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters.

Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models. However, efficiency may be lost due to the need for a large number of iterations of the E...

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Auteurs principaux: Kaarina Matilainen, Esa A Mäntysaari, Martin H Lidauer, Ismo Strandén, Robin Thompson
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2013
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/0a35311431c4489c8c1ec8fd9d18e80c
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