sommer: Solving Mixed Model Equations in R
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: | 4.4.4 |
| Depends: | R (≥ 3.5.0),Matrix (≥ 1.1.1), methods, stats,MASS,crayon,enhancer |
| Imports: | Rcpp (≥ 0.12.19) |
| LinkingTo: | Rcpp,RcppArmadillo,RcppProgress |
| Suggests: | rmarkdown,knitr,plyr, parallel,orthopolynom,RSpectra,lattice,testthat (≥ 3.0.0) |
| Published: | 2025-11-26 |
| 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:
| Reverse imports: | EstimateBreed,gpcp,IPLGP,lmDiallel,mlmm.gwas,pcgen,statgenGWAS,statgenQTLxT |
| Reverse suggests: | enhancer,lucid,MoBPS |
| Reverse enhances: | biometryassist,emmeans |
Linking:
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