sommer: Solving Mixed Model Equations in R
Version 3.2

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.

Package details

AuthorGiovanny Covarrubias-Pazaran
Date of publication2018-01-09 20:36:54 UTC
MaintainerGiovanny Covarrubias-Pazaran <[email protected]>
Package repositoryView on CRAN
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sommer documentation built on Jan. 10, 2018, 1:06 a.m.