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pegs  

Pseudo-Expectation Gauss-Seidel
View on CRAN: Click here


Download and install pegs package within the R console
Install from CRAN:
install.packages("pegs")

Install from Github:
library("remotes")
install_github("cran/pegs")

Install by package version:
library("remotes")
install_version("pegs", "0.2")



Attach the package and use:
library("pegs")
Maintained by
Alencar Xavier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-12
Latest Update: 2025-12-12
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.
How to cite:
Alencar Xavier (2025). pegs: Pseudo-Expectation Gauss-Seidel. R package version 0.2, https://cran.r-project.org/web/packages/pegs. Accessed 24 Oct. 2026.
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