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 variance models. 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) to include additive, dominance and epistatic relationship structures or other covariance structures, but also functional as a regular mixed model program.

Version: 3.0
Depends: R (≥ 2.10), Matrix (≥ 1.1.1), methods, stats, MASS, parallel
Suggests: knitr, plyr
Published: 2017-08-24
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber at live.com.mx>
License: GPL-3
URL: http://www.wisc.edu
NeedsCompilation: no
Citation: sommer citation info
Materials: ChangeLog
CRAN checks: sommer results

Downloads:

Reference manual: sommer.pdf
Vignettes: Quantitative genetics using the sommer package
Quick start for the sommer package
Package source: sommer_3.0.tar.gz
Windows binaries: r-devel: sommer_3.0.zip, r-release: sommer_3.0.zip, r-oldrel: sommer_3.0.zip
OS X El Capitan binaries: r-release: sommer_3.0.tgz
OS X Mavericks binaries: r-oldrel: sommer_3.0.tgz
Old sources: sommer archive

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