<code>smm</code> creates a sparse model matrix for the levels of the random effect to be used with the <code>lmebreed</code> solver.

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'.

Giovanny Covarrubias-Pazaran

lme4breeding

Relationship-Based Mixed-Effects Models

smm function

<dl> <dt>x</dt>
<dd>vector of observations for the random effect.</dd></dl>

Arguments

Author

sparse model matrix — smm

<dl>

 <dt>x</dt>
<dd>vector of observations for the random effect.</dd>

</dl>

smm: sparse model matrix

Description

Usage

Value

Arguments

Author

References

See Also

Examples