plot.SelectBoost_gamlss

Plot selection proportions for a single sb_gamlss

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.SelectBoost_gamlss function

<dl><dt>x</dt>
<dd>A <code>sb_gamlss</code> object.</dd>
<dt>...</dt>
<dd>Graphical parameters.</dd></dl>

Arguments

Plot selection proportions for a single sb_gamlss — plot.SelectBoost_gamlss

<dl>

<dt>x</dt>
<dd>A <code>sb_gamlss</code> object.</dd>


<dt>...</dt>
<dd>Graphical parameters.</dd>

</dl>

plot.SelectBoost_gamlss: Plot selection proportions for a single sb_gamlss

Description

Usage

Value

Arguments