sommer: Solving Mixed Model Equations in R (original) (raw)
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: | 4.3.5 |
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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: | 2024-07-31 |
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 |
In views: | Agriculture, MixedModels |
CRAN checks: | sommer results |
Documentation:
Downloads:
Reverse dependencies:
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