bWGR-package {bWGR}R Documentation

Bayesian Whole-Genome Regression

Description

Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).

Details

Package: bWGR
Type: Package
Version: 2.2.5
Date: 2023-11-21
License: GPL-3

Author(s)

Alencar Xavier, William Muir, David Habier, Kyle Kocak, Shizhong Xu, Katy Rainey. Maintainer: Alencar Xavier <alenxav@gmail.com>

Examples

data(tpod)
Fit = wgr(y,gen)
cor(y,Fit$hat)

[Package bWGR version 2.2.5 Index]