pegs: Pseudo-Expectation Gauss-Seidel

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) <doi:10.1186/s12711-022-00730-w> and Xavier et al. (2025) <doi:10.1093/genetics/iyae179>, 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) <doi:10.1093/bioinformatics/btz794> by using 'LAPACK' for its algebraic operations.

Version:	0.2
Depends:	R (≥ 2.10)
Published:	2025-12-12
DOI:	10.32614/CRAN.package.pegs
Author:	Alencar Xavier [aut, cre], David Habier [aut]
Maintainer:	Alencar Xavier <alenxav at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
Citation:	pegs citation info
CRAN checks:	pegs results

Documentation:

Reference manual:

pegs.html , pegs.pdf

Downloads:

Package source:	pegs_0.2.tar.gz
Windows binaries:	r-devel: not available, r-release: pegs_0.2.zip, r-oldrel: pegs_0.2.zip
macOS binaries:	r-release (arm64): pegs_0.2.tgz, r-oldrel (arm64): pegs_0.2.tgz, r-release (x86_64): pegs_0.2.tgz, r-oldrel (x86_64): pegs_0.2.tgz

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