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bWGR (version 2.2.18)
Bayesian Whole-Genome Regression
Description
Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (
), univariate and multivariate (
,
), with optional kernel term and sampling techniques (
).
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Install
install.packages('bWGR')
Monthly Downloads
470
Version
2.2.18
License
GPL-3
Maintainer
Alencar Xavier
Last Published
July 25th, 2026
Functions in bWGR (2.2.18)
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bWGR-package
Bayesian Whole-Genome Regression
Dataset
Tetra-seed Pods
XTRA 2
Additional tools
WGR2 (EM)
Expectation-Maximization WGR
XTRA 1
Mixed model solver
WGR1 (MC)
MCMC Whole-genome Regression
WGR3 (MV)
Multivariate Regression