Bayesian Genomic Linear Models Applied to GE Genome Selection R package BGGE version 0.6.5 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) 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>. Software Depends: R (>= 3.1.1) Imports: stats, Suggests: BGLR, coda Italo Granato <italo.granato@gmail.com> Comprehensive R Archive Network (CRAN) Italo Granato [aut, cre], Luna-Vázquez Francisco J. [aut], Cuevas Jaime [aut] GPL-3 2018-08-10 application/tgz https://CRAN.R-project.org/package=BGGE doi:10.32614/CRAN.package.BGGE