Description
Breeding-Related Mixed-Effects Models.
Description
Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
README.md
lme4breeding: Linear Mixed Equations 4 Breeding
Extension of the popular lme4 package from Bates et al. to easily fit the most popular breeding models heterogeneous and unstructured variance models, genomic models, competition models, overlayed models, etc.
Installation
You can install the development version of lme4breeding from GitHub:
devtools::install_github('covaruber/lme4breeding')
In addition, the package is also available on CRAN:
install.packages("lme4breeding")
Vignettes
The package is equiped with many datasets and vignettes to learn how to use the package.