Structural multivariateunivariate linear mixed model solver for estimation of multiple random effects and unknown variancecovariance structures (i.e. heterogeneous and unstructured variance models) (CovarrubiasPazaran, 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 DirectInversion NewtonRaphson and DirectInversion 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 the twodimensional spline functionality available in sommer.
Package details 


Author  Giovanny CovarrubiasPazaran 
Maintainer  Giovanny CovarrubiasPazaran <cova_ruber@live.com.mx> 
License  GPL (>= 2) 
Version  4.1.4 
Package repository  View on CRAN 
Installation 
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