Package: BGGE
Title: Bayesian Genomic Linear Models Applied to GE Genome Selection
Version: 0.6.5
Date: 2018-08-10
Authors@R: c(person("Italo", "Granato", email = "italo.granato@gmail.com", role = c("aut", "cre")),
             person("Luna-Vázquez", "Francisco J.", email = "frahik@gmail.com ", role =c("aut")),
             person("Cuevas", "Jaime", email = "jaicueva@uqroo.edu.mx", role =c("aut")))
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)
Imports: stats,
Suggests: BGLR, coda
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-08-10 14:54:06 UTC; Italo Granato
Author: Italo Granato [aut, cre],
  Luna-Vázquez Francisco J. [aut],
  Cuevas Jaime [aut]
Maintainer: Italo Granato <italo.granato@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-10 16:40:03 UTC
Built: R 4.6.0; ; 2026-04-26 12:47:16 UTC; unix
