BGGE

Bayesian Genomic Linear Models Applied to GE Genome Selection

CRAN Package

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.

  • Version0.6.5
  • R version≥ 3.1.1
  • LicenseGPL-3
  • Needs compilation?No
  • Last release08/10/2018

Documentation

Team

Insights

Last 30 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN

Binaries

Dependencies

  • Suggests2 packages