sommer: Solving Mixed Model Equations in R

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 and special 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 Direct-Inversion 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 two-dimensional spline functionality in sommer.

Package details

AuthorGiovanny Covarrubias-Pazaran
MaintainerGiovanny Covarrubias-Pazaran <[email protected]>
LicenseGPL (>= 2)
Version3.7.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sommer")

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sommer documentation built on Dec. 10, 2018, 1:04 a.m.