italo-granato/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>.

Getting started

Package details

MaintainerItalo Granato <[email protected]>
LicenseGPL-3
Version0.6.6
URL https://github.com/italo-granato/BGGE
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 Nov. 18, 2018, 12:22 p.m.