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.
Version: 4.4.2 Depends: R (≥ 3.5.0), Matrix (≥ 1.1.1), methods, stats, MASS, crayon Imports: Rcpp (≥ 0.12.19) LinkingTo: Rcpp, RcppArmadillo, RcppProgress Suggests: rmarkdown, knitr, plyr, parallel, orthopolynom, RSpectra, lattice, testthat (≥ 3.0.0) Published: 2025-05-26 DOI: 10.32614/CRAN.package.sommer Author: Giovanny Covarrubias-Pazaran [aut, cre] Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber at live.com.mx> BugReports: https://github.com/covaruber/sommer/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/covaruber/sommer NeedsCompilation: yes Citation: sommer citation info Materials: README ChangeLog In views: Agriculture, MixedModels CRAN checks: sommer results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=sommer to link to this page.
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