plot.sb_confidence

Two-panel plot: (1) scatter of area_pos vs cover (size by rank), (2) barplot of top-N rank_score.

Extends the 'SelectBoost' approach to Generalized Additive Models for
Location, Scale and Shape (GAMLSS). Implements bootstrap stability-selection
across parameter-specific formulas (mu, sigma, nu, tau) via gamlss::stepGAIC().
Includes optional standardization of predictors and helper functions for
corrected AIC calculation. More details can be found in Bertrand and Maumy (2024)
<https://hal.science/hal-05352041> that highlights correlation-aware resampling to improve
variable selection for GAMLSS and quantile regression when predictors are
numerous and highly correlated.

Frederic Bertrand

SelectBoost.gamlss

Stability-Selection via Correlated Resampling for 'GAMLSS'
Models

plot.sb_confidence function

<dl><dt>x</dt>
<dd>An object from <code>confidence_functionals()</code>.</dd>
<dt>top</dt>
<dd>Show top-N terms in the barplot (default 15).</dd>
<dt>label_top</dt>
<dd>Integer; number of points to label in the scatter (default 10).</dd>
<dt>...</dt>
<dd>Graphical parameters passed to plotting backend.</dd></dl>

Arguments

Plot confidence functionals — plot.sb_confidence

<dl>

<dt>x</dt>
<dd>An object from <code>confidence_functionals()</code>.</dd>


<dt>top</dt>
<dd>Show top-N terms in the barplot (default 15).</dd>


<dt>label_top</dt>
<dd>Integer; number of points to label in the scatter (default 10).</dd>


<dt>...</dt>
<dd>Graphical parameters passed to plotting backend.</dd>

</dl>

plot.sb_confidence: Plot confidence functionals

Description

Usage

Value

Arguments