plot.cv.glmmsel

Plot the cross-validation loss as a function of the regularisation parameter.

Provides tools for fitting sparse generalised linear mixed models with l0
regularisation. Selects fixed and random effects under the hierarchy constraint that fixed effects
must precede random effects. Uses coordinate descent and local search algorithms to rapidly
deliver near-optimal estimates. Gaussian and binomial response families are currently supported.
For more details see Thompson, Wand, and Wang (2025) <doi:10.48550/arXiv.2506.20425>.

Ryan Thompson

glmmsel

Generalised Linear Mixed Model Selection

plot.cv.glmmsel function

<dl><dt>x</dt>
<dd>an object of class <code>cv.glmmsel</code></dd>
<dt>...</dt>
<dd>any other arguments</dd></dl>

Arguments

Ryan Thompson &lt;ryan.thompson-1@uts.edu.au&gt;

Author

Plot function for cv.glmmsel object — plot.cv.glmmsel

<dl>

<dt>x</dt>
<dd>an object of class <code>cv.glmmsel</code></dd>


<dt>...</dt>
<dd>any other arguments</dd>

</dl>

plot.cv.glmmsel: Plot function for `cv.glmmsel` object

Description

Usage

Value

Arguments

Author