混合模型
计算机科学
R包
最佳线性无偏预测
统计推断
多元统计
统计模型
统计
数量遗传学
选择(遗传算法)
数学
生物
机器学习
遗传变异
遗传学
基因
作者
Per Madsen,Peter Sørensen,SU Gulumbe,Lars Holm Damgaard,Hauke Thomsen,Rodrigo Labouriau
出处
期刊:Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006.
日期:2006-01-01
卷期号:: 0732-
被引量:106
摘要
DMU is a package directed towards applications in quantitative genetics, and it implements powerful tools to estimate variance components and fixed effects (BLUE) and to predict random effects (BLUP). Most of the development of DMU has been in response to the needs in research projects in applied quantitative animal genetics along a period extending for more than 25 years. Indeed, DMU has been the main tool for statistical inference (both estimation and prediction) in the Danish animal breeding research. Moreover, DMU has been used in routine genetic evaluation of cattle, sheep, mink and horse in Denmark, and in several other countries. This led to a package implementing an ample range of statistical methods and computation algorithms, which not only implement high performance methods for specific project-related problems, but also are of general applicability in quantitative genetics.
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