italo-granato/BGGE: Bayesian Genomic Linear Models Applied to GE Genome Selection
Version 0.6.2

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) 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) .

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.6.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("italo-granato/BGGE")
italo-granato/BGGE documentation built on May 18, 2018, 11:26 p.m.