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")
1) ONGOING: improve documentation to expand to other capabilities
2) DONE: improve plot functions: better graphics
3) include predict method - DONE for training set (summary.gblup) PENDING: validation set
4) implement multi-core computation
5) DONE: LRT functions for forward, backward comparison
6) implement high-throughput functions for massively paralell phenotypes
7) include functions for GWA peak annotation from genomic dBs
8) make memory efficient for extra-large systems of equations (seveal 10000s animals)
9) implement META-ANALYSIS according to Yeni's paper
10) implement shrinkage tests according to Misztal's groups papers
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