Package: sommer
Type: Package
Title: Solving Mixed Model Equations in R
Version: 4.3.4
Date: 2024-03-01
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: 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.
Depends: R (>= 3.5.0), Matrix (>= 1.1.1), methods, stats, MASS, crayon
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.19)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: rmarkdown, knitr, plyr, parallel, orthopolynom, RSpectra,
        lattice, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2024-03-17 03:00:16 UTC; giovannycovarrubias
Repository: CRAN
Date/Publication: 2024-03-17 05:30:06 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 01:26:44 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
