Bayesian Genomic Linear Models Applied to GE Genome Selection
Description
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 Jarqun et al. (2014)
and Lopez-Cruz et al. (2015) . 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) .