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>). 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 mixed-model-equations-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 in sommer.
| Version: |
4.2.0 |
| Depends: |
R (≥ 3.5.0), Matrix (≥ 1.1.1), methods, stats, MASS, lattice, crayon |
| Imports: |
Rcpp (≥ 0.12.19) |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppProgress |
| Suggests: |
rmarkdown, knitr, plyr, parallel, orthopolynom, testthat (≥
3.0.0) |
| Published: |
2022-09-10 |
| Author: |
Giovanny Covarrubias-Pazaran |
| Maintainer: |
Giovanny Covarrubias-Pazaran <cova_ruber at live.com.mx> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
sommer citation info |
| Materials: |
README ChangeLog |
| 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.