Package: BGGE 0.6.6

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>.

Authors:Italo Granato [aut, cre], Luna-Vázquez Francisco J. [aut], Cuevas Jaime [aut]

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NEWS

# Install 'BGGE' in R:
install.packages('BGGE', repos = c('https://italo-granato.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/italo-granato/bgge/issues

On CRAN:

Conda:

bayesian-inferencege-genomic-modelsgenomicgenotype-by-environmentpredictionstatistics

3.60 score 1 stars 5 scripts 258 downloads 8 mentions 2 exports 0 dependencies

Last updated 6 years agofrom:93851736e2. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winWARNINGMar 24 2025
R-4.5-macWARNINGMar 24 2025
R-4.5-linuxWARNINGMar 24 2025
R-4.4-winWARNINGMar 24 2025
R-4.4-macWARNINGMar 24 2025
R-4.4-linuxWARNINGMar 24 2025
R-4.3-winWARNINGMar 24 2025
R-4.3-macWARNINGMar 24 2025

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