Breeding-Related Mixed-Effects Models
Adjusting fixed effects for intercept
Balance a dataset
Get the rotated conditional variance matrix
Get the hypertable for predictions
Build the mixed model equations from a lmeb object
L inear m ixed e quations 4 B reeding
Relationship-based mixed-effects model fits
Fit breeding-related mixed-effects models
Table to track effects
Predict form of a LMM fitted with lmeb/lmebreed
sparse model matrix
Rotation matrix UDU' decomposition
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'.