Package: sommer
Type: Package
Title: Solving Mixed Model Equations in R
Version: 4.4.3
Date: 2025-07-29
Authors@R: c(
    person("Giovanny","Covarrubias-Pazaran", email="cova_ruber@live.com.mx", role=c("aut","cre"),
	comment=c(ORCID="0000-0002-7194-3837"))
	)
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: 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 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi: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.
Depends: R (>= 3.5.0), Matrix (>= 1.1.1), methods, stats, MASS, crayon
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.19)
BugReports: https://github.com/covaruber/sommer/issues
URL: https://github.com/covaruber/sommer
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: rmarkdown, knitr, plyr, parallel, orthopolynom, RSpectra,
        lattice, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-07-30 03:41:25 UTC; giovannycovarrubias
Author: Giovanny Covarrubias-Pazaran [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7194-3837>)
Repository: CRAN
Date/Publication: 2025-07-30 04:50:02 UTC
Built: R 4.4.1; x86_64-apple-darwin20; 2025-07-30 07:27:05 UTC; unix
Archs: sommer.so.dSYM
