sommer: Solving Mixed Model Equations in R

Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects and unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 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 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) and dense known covariance structures for levels of random effects. Spatial models can also be fitted using the two-dimensional spline functionality available in sommer.

Package details

AuthorGiovanny Covarrubias-Pazaran
MaintainerGiovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
LicenseGPL (>= 2)
Version4.1.4
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 July 30, 2021, 1:06 a.m.