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# 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 "sommer" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'sommer: Solving Mixed Model Equations in R'
version: 4.3.6
identifiers:
- type: doi
  value: 10.32614/CRAN.package.sommer
abstract: Structural multivariate-univariate linear mixed model solver for estimation
  of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous
  and unstructured) and known covariance among levels of random effects (e.g., pedigree
  and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <https://doi.org/10.1371/journal.pone.0156744>;
  Maier et al., 2015 <https://doi.org/10.1016/j.ajhg.2014.12.006>; Jensen et al.,
  1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson
  and Direct-Inversion Average Information algorithms for the problems r x r (r being
  the number of records) or using the Henderson-based average information algorithm
  for the problem c x c (c being the number of coefficients to estimate). Spatial
  models can also be fitted using the two-dimensional spline functionality available.
authors:
- family-names: Covarrubias-Pazaran
  given-names: Giovanny
  email: cova_ruber@live.com.mx
  orcid: https://orcid.org/0000-0002-7194-3837
preferred-citation:
  type: article
  title: Genome assisted prediction of quantitative traits using the R package sommer
  authors:
  - family-names: Giovanny
    given-names: Covarrubias-Pazaran
  journal: PLoS ONE
  year: '2016'
  volume: '11'
  start: 1-15
repository: https://covaruber.r-universe.dev
repository-code: https://github.com/covaruber/sommer
commit: 8336bdba2802c56bf3346274c87eab99a924054d
url: https://github.com/covaruber/sommer
date-released: '2024-10-20'
contact:
- family-names: Covarrubias-Pazaran
  given-names: Giovanny
  email: cova_ruber@live.com.mx
  orcid: https://orcid.org/0000-0002-7194-3837