Package: sommer
Type: Package
Title: Solving Mixed Model Equations in R
Version: 3.4
Date: 2018-04-06
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous 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 Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.
Depends: R (>= 2.10), Matrix (>= 1.1.1), methods, stats, MASS, lattice
Imports: data.table
License: GPL-3
URL: http://www.wisc.edu
Packaged: 2018-04-06 20:07:48 UTC; cova_ruber
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-04-06 20:58:02 UTC
Suggests: knitr, plyr
VignetteBuilder: knitr
Built: R 3.3.3; ; 2018-04-22 15:35:55 UTC; windows
