qgtools: Tools for Quantitative Genetics Data Analyses

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.

Version: 1.0
Depends: stats, utils, Matrix, MASS
Published: 2014-09-17
Author: Jixiang Wu (South Dakota State University), Johnie N. Jenkins and Jack C. McCarty (USDA-ARS)
Maintainer: Jixiang Wu <qgtools at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: qgtools results


Reference manual: qgtools.pdf
Package source: qgtools_1.0.tar.gz
Windows binaries: r-devel: qgtools_1.0.zip, r-release: qgtools_1.0.zip, r-oldrel: qgtools_1.0.zip
OS X Snow Leopard binaries: r-release: qgtools_1.0.tgz, r-oldrel: qgtools_1.0.tgz
OS X Mavericks binaries: r-release: qgtools_1.0.tgz