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 <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 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.
| Version: | 3.2 |
| Depends: | R (≥ 2.10), Matrix (≥ 1.1.1), methods, stats, MASS, lattice |
| Imports: | data.table |
| Suggests: | knitr, plyr |
| Published: | 2018-01-09 |
| 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 |
| Reference manual: | sommer.pdf |
| Vignettes: |
Quantitative genetics using the sommer package Quick start for the sommer package |
| Package source: | sommer_3.2.tar.gz |
| Windows binaries: | r-devel: sommer_3.2.zip, r-release: sommer_3.2.zip, r-oldrel: sommer_3.2.zip |
| OS X El Capitan binaries: | r-release: sommer_3.2.tgz |
| OS X Mavericks binaries: | r-oldrel: sommer_3.2.tgz |
| Old sources: | sommer archive |
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