Package: pegs
Type: Package
Title: Pseudo-Expectation Gauss-Seidel
Version: 0.2
Date: 2025-12-07
Maintainer: Alencar Xavier <alenxav@gmail.com>
Authors@R: c(person("Alencar", "Xavier", role=c("aut", "cre"), email = "alenxav@gmail.com"), person("David", "Habier", role=c("aut")))
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) 
    <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.
License: GPL-3
Depends: R (>= 2.10)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-12-08 01:35:31 UTC; rd7564
Author: Alencar Xavier [aut, cre],
  David Habier [aut]
Date/Publication: 2025-12-12 21:00:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 21:06:44 UTC; unix
Archs: pegs.so.dSYM
