BGGE: Bayesian Genomic Linear Models Applied to GE Genome Selection

Application of genome prediction for a continuous variable, focused on genotype by environment (GE) genomic selection models (GS). It consists a group of functions that help to create regression kernels for some GE genomic models proposed by Jarquín et al. (2014) <doi:10.1007/s00122-013-2243-1> and Lopez-Cruz et al. (2015) <doi:10.1534/g3.114.016097>. Also, it computes genomic predictions based on Bayesian approaches. The prediction function uses an orthogonal transformation of the data and specific priors present by Cuevas et al. (2014) <doi:10.1534/g3.114.013094>.

Version: 0.6.1
Depends: R (≥ 3.1.1)
Imports: stats
Suggests: BGLR, coda
Published: 2017-11-30
Author: Italo Granato [aut, cre], Luna-Vázquez Francisco J. [aut], Cuevas Jaime [aut]
Maintainer: Italo Granato <italo.granato at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: BGGE results

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Reference manual: BGGE.pdf
Package source: BGGE_0.6.1.tar.gz
Windows binaries: r-devel: BGGE_0.6.1.zip, r-release: BGGE_0.6.1.zip, r-oldrel: BGGE_0.6.1.zip
OS X El Capitan binaries: r-release: BGGE_0.6.1.tgz
OS X Mavericks binaries: r-oldrel: BGGE_0.6.1.tgz

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