sommer: Solving Mixed Model Equations in R

Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.

Package details

AuthorGiovanny Covarrubias-Pazaran [aut, cre] (<https://orcid.org/0000-0002-7194-3837>)
MaintainerGiovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
LicenseGPL (>= 2)
Version4.3.5
URL https://github.com/covaruber/sommer
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 Sept. 11, 2024, 6:22 p.m.