DESCRIPTION

Package: BGGE
Title: Bayesian Genomic Linear Models Applied to GE Genome Selection
Version: 0.6.6
Date: 2018-10-25
Authors@R: c(person("Italo", "Granato", email = "italo.granato@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2093-6810")),
             person("Luna-Vázquez", "Francisco J.", email = "frahik@gmail.com ", role = c("aut"), comment = c(ORCID = "0000-0002-5370-7152")),
             person("Cuevas", "Jaime", email = "jaicueva@uqroo.edu.mx", role = c("aut"), comment = c(ORCID = "0000-0002-0685-2867")))
Maintainer: Italo Granato <italo.granato@gmail.com>
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 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>.
Depends: R (>= 3.1.1)
URL: https://github.com/italo-granato/BGGE
BugReports: https://github.com/italo-granato/BGGE/issues/new
NeedsCompilation: no
Imports: 
      stats,
Suggests:
      BGLR,
      coda,
      testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0