# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pegs" in publications use:'
type: software
license: GPL-3.0-only
title: 'pegs: Pseudo-Expectation Gauss-Seidel'
version: '0.2'
doi: 10.1186/s12711-022-00730-w
identifiers:
- type: doi
  value: 10.32614/CRAN.package.pegs
abstract: 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) <https://doi.org/10.1186/s12711-022-00730-w>
  and Xavier et al. (2025) <https://doi.org/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) <https://doi.org/10.1093/bioinformatics/btz794> by using 'LAPACK'
  for its algebraic operations.
authors:
- family-names: Xavier
  given-names: Alencar
  email: alenxav@gmail.com
- family-names: Habier
  given-names: David
preferred-citation:
  type: article
  title: A new approach fits multivariate genomic prediction models efficiently
  authors:
  - family-names: Xavier
    given-names: Alencar
    email: alenxav@gmail.com
    orcid: https://orcid.org/0000-0001-5034-9954
  - family-names: Habier
    given-names: David
  journal: Genetics Selection Evolution
  volume: '54'
  issue: '1'
  year: '2022'
  doi: 10.1186/s12711-022-00730-w
  start: '45'
repository: https://alenxav.r-universe.dev
commit: 25a60499b799aea4603404d6b656407a3ac08746
date-released: '2025-12-07'
contact:
- family-names: Xavier
  given-names: Alencar
  email: alenxav@gmail.com