Structural multivariateunivariate linear mixed model solver for multiple random effects allowing the specification of variancecovariance structures for random effects and allowing the fit of heterogeneous and special variance models (CovarrubiasPazaran, 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 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) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the twodimensional spline functionality in sommer.
Package details 


Author  Giovanny CovarrubiasPazaran 
Maintainer  Giovanny CovarrubiasPazaran <[email protected]> 
License  GPL (>= 2) 
Version  3.7.3 
Package repository  View on CRAN 
Installation 
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