Package: pegs 0.2
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.
Authors:
pegs_0.2.tar.gz
pegs_0.2.zip(r-4.7)pegs_0.2.zip(r-4.6)pegs_0.2.zip(r-4.5)
pegs_0.2.tgz(r-4.6-x86_64)pegs_0.2.tgz(r-4.6-arm64)pegs_0.2.tgz(r-4.5-x86_64)pegs_0.2.tgz(r-4.5-arm64)
pegs_0.2.tar.gz(r-4.7-arm64)pegs_0.2.tar.gz(r-4.7-x86_64)pegs_0.2.tar.gz(r-4.6-arm64)pegs_0.2.tar.gz(r-4.6-x86_64)
pegs_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pegs/json (API)
| # Install 'pegs' in R: |
| install.packages('pegs', repos = c('https://alenxav.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:25a60499b7. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 97 | ||
| linux-devel-x86_64 | OK | 103 | ||
| source / vignettes | OK | 156 | ||
| linux-release-arm64 | OK | 97 | ||
| linux-release-x86_64 | OK | 108 | ||
| macos-release-arm64 | OK | 88 | ||
| macos-release-x86_64 | OK | 203 | ||
| macos-oldrel-arm64 | OK | 87 | ||
| macos-oldrel-x86_64 | OK | 137 | ||
| windows-devel | OK | 102 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 133 | ||
| wasm-release | OK | 87 |
Exports:pegs
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Pseudo-Expectation Gauss-Seidel | pegs-package simu X Y |
| Pseudo-Expectation Gauss-Seidel for Multi-Trait Models | pegs |
