qgtools: Generalized 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.

Version: 2.0
Depends: stats, utils
Published: 2019-12-18
Author: Jixiang Wu (South Dakota State University), Johnie N. Jenkins and Jack C. McCarty (USDA-ARS)
Maintainer: Jixiang Wu <jixiang.wu at sdstate.edu>
License: GPL-2
NeedsCompilation: no
In views: Agriculture, MissingData, MixedModels
CRAN checks: qgtools results


Reference manual: qgtools.pdf


Package source: qgtools_2.0.tar.gz
Windows binaries: r-devel: qgtools_2.0.zip, r-release: qgtools_2.0.zip, r-oldrel: qgtools_2.0.zip
macOS binaries: r-release (arm64): qgtools_2.0.tgz, r-oldrel (arm64): qgtools_2.0.tgz, r-release (x86_64): qgtools_2.0.tgz
Old sources: qgtools archive


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