simage2

models

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

Breeding-Related Mixed-Effects Models

simage2 function

<dl> <dt>X</dt>
<dd>object of class <code>"matrix"</code></dd> <dt>...</dt>
<dd>Further arguments to be passed to the image function.</dd></dl>

Arguments

Author

Shortcut to sparse matrix image — simage2

<dl>

 <dt>X</dt>
<dd>object of class <code>"matrix"</code></dd>

 <dt>...</dt>
<dd>Further arguments to be passed to the image function.</dd>

</dl>

simage2: Shortcut to sparse matrix image

Description

Usage

Value

Arguments

Author

See Also

Examples