This package implements GWA from GBLUP model following Gualdron Duarte et al (2014) - http://www.biomedcentral.com/1471-2105/15/246/abstract
The packagte is under developement, but it is functional.
To install use: devtools::install_github("steibelj/gwaR",build_vignettes=T)
A quick introduction: vignette("intro-to-gblup")
###Future commits:
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ONGOING: improve documentation to expand to other capabilities
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DONE: improve plot functions: better graphics
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include predict method - DONE for training set (summary.gblup) PENDING: validation set
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implement multi-core computation
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DONE: LRT functions for forward, backward comparison
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implement high-throughput functions for massively paralell phenotypes
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include functions for GWA peak annotation from genomic dBs
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make memory efficient for extra-large systems of equations (seveal 10000s animals)
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implement META-ANALYSIS according to Yeni's paper
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implement shrinkage tests according to Misztal's groups papers