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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.
Getting started
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Package details |
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| Author | Jixiang Wu (South Dakota State University), Johnie N. Jenkins and Jack C. McCarty (USDA-ARS) |
| Maintainer | Jixiang Wu <jixiang.wu@sdstate.edu> |
| License | GPL-2 |
| Version | 2.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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