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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2 |
rolling linux/jammy R-4.5 | pegs_0.2.tar.gz |
127.0 KiB |
0.2 |
rolling linux/noble R-4.5 | pegs_0.2.tar.gz |
127.7 KiB |
0.2 |
rolling source/ R- | pegs_0.2.tar.gz |
106.0 KiB |
0.2 |
latest linux/jammy R-4.5 | pegs_0.2.tar.gz |
127.0 KiB |
0.2 |
latest linux/noble R-4.5 | pegs_0.2.tar.gz |
127.7 KiB |
0.2 |
latest source/ R- | pegs_0.2.tar.gz |
106.0 KiB |
0.2 |
2026-04-26 source/ R- | pegs_0.2.tar.gz |
106.0 KiB |
0.2 |
2026-04-23 source/ R- | pegs_0.2.tar.gz |
106.0 KiB |
0.2 |
2026-04-09 windows/windows R-4.5 | pegs_0.2.zip |
196.5 KiB |