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bWGR (version 2.2.13)
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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Version
2.2.13
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Install
install.packages('bWGR')
Monthly Downloads
823
Version
2.2.13
License
GPL-3
Maintainer
Alencar Xavier
Last Published
December 5th, 2024
Functions in bWGR (2.2.13)
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XTRA 1
Mixed model solver
bWGR-package
Bayesian Whole-Genome Regression
WGR3 (MV)
Multivariate Regression
WGR2 (EM)
Expectation-Maximization WGR
Dataset
Tetra-seed Pods
XTRA 2
Additional tools
WGR1 (MC)
MCMC Whole-genome Regression
