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>.
| Version: | 0.6.5 |
| Depends: | R (≥ 3.1.1) |
| Imports: | stats |
| Suggests: | BGLR, coda |
| Published: | 2018-08-10 |
| Author: | Italo Granato [aut, cre], Luna-Vázquez Francisco J. [aut], Cuevas Jaime [aut] |
| Maintainer: | Italo Granato <italo.granato at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | BGGE results |
| Reference manual: | BGGE.pdf |
| Package source: | BGGE_0.6.5.tar.gz |
| Windows binaries: | r-devel: BGGE_0.6.5.zip, r-release: BGGE_0.6.5.zip, r-oldrel: BGGE_0.6.5.zip |
| macOS binaries: | r-release: BGGE_0.6.5.tgz, r-oldrel: BGGE_0.6.5.tgz |
| Old sources: | BGGE archive |
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