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 |
| Reference manual: | pegs.html , pegs.pdf |
| Package source: | pegs_0.2.tar.gz |
| Windows binaries: | r-devel: pegs_0.2.zip, 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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