sommer: Solving Mixed Model Equations in R
Version 3.6

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 ; Maier et al., 2015 ). 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.

Package details

AuthorGiovanny Covarrubias-Pazaran
Date of publication2018-10-08 19:00:03 UTC
MaintainerGiovanny Covarrubias-Pazaran <[email protected]>
Package repositoryView on CRAN
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sommer documentation built on Oct. 9, 2018, 1:04 a.m.