Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., unstructured, diagonal, autoregressive, factor analytic, reduced rank, among others) 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).
| Version: |
4.4.87 |
| Depends: |
R (≥ 3.5.0), Matrix (≥ 1.6-2), methods, stats, MASS, crayon, enhancer |
| Imports: |
Rcpp (≥ 0.12.19) |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppProgress, RcppEigen, Matrix |
| Suggests: |
rmarkdown, knitr, plyr, parallel, orthopolynom, RSpectra, lattice, emmeans (≥ 1.4), estimability, testthat (≥ 3.0.0) |
| Published: |
2026-10-04 |
| 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-3 |
| URL: |
https://github.com/covaruber/sommer |
| NeedsCompilation: |
yes |
| SystemRequirements: |
METIS graph partitioning library (optional; enables
nested-dissection sparse ordering for large relationship
matrices, auto-detected at configure time, falls back to AMD
ordering when absent) |
| Citation: |
sommer citation info |
| Materials: |
README, ChangeLog |
| In views: |
Agriculture, MixedModels |
| CRAN checks: |
sommer results |