Package: sommer
Type: Package
Title: Solving Mixed Model Equations in R
Version: 4.0.4
Date: 2019-08-21
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 and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using i.e. the two-dimensional spline functionality available in sommer.
Depends: R (>= 2.10), Matrix (>= 1.1.1), methods, stats, MASS, lattice,
        crayon
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.19)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, plyr, parallel, orthopolynom
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-08-24 13:09:07 UTC; giovannycovarrubias
Repository: CRAN
Date/Publication: 2019-08-24 16:20:02 UTC
Built: R 3.6.1; x86_64-conda_cos6-linux-gnu; 2019-12-03 19:24:36 UTC; unix
