Two linear mixed model approaches: REML(restricted maximum likelihood) and MINQUE (minimum norm quadratic unbiased estimation) approaches and several resampling techniques are integrated for various quantitative genetics analyses. With these two types of approaches, various unbalanced data structures, missing data, and any irregular genetic mating designs can be analyzed and statistically tested. This package also offers fast computations for many large data sets. Other functions will be added to this R tool in the future.
|Depends:||stats, utils, Matrix, MASS|
|Author:||Jixiang Wu (South Dakota State University), Johnie N. Jenkins and Jack C. McCarty (USDA-ARS)|
|Maintainer:||Jixiang Wu <qgtools at gmail.com>|
|CRAN checks:||qgtools results|
|Windows binaries:||r-devel: qgtools_1.0.zip, r-release: qgtools_1.0.zip, r-oldrel: qgtools_1.0.zip|
|OS X El Capitan binaries:||r-release: qgtools_1.0.tgz|
|OS X Mavericks binaries:||r-oldrel: qgtools_1.0.tgz|
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