Pseudo-Expectation Gauss-Seidel
Description
A lightweight, dependency-free, and simplified implementation of the
Pseudo-Expectation Gauss-Seidel (PEGS) algorithm. It fits the multivariate
ridge regression model for genomic prediction Xavier and Habier (2022)
and Xavier et al. (2025)
, providing heritability estimates, genetic
correlations, breeding values, and regression coefficient estimates for
prediction. This package provides an alternative to the 'bWGR' package by
Xavier et al. (2019) by using 'LAPACK'
for its algebraic operations.