plot.SelectBoost_gamlss_grid

Plot summary for sb_gamlss_c0_grid

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_grid function

<dl><dt>x</dt>
<dd>A <code>SelectBoost_gamlss_grid</code> object.</dd>
<dt>top</dt>
<dd>Integer; how many top terms to show in the confidence barplot.</dd>
<dt>...</dt>
<dd>Ignored (reserved for future).</dd></dl>

Arguments

Plot summary for sb_gamlss_c0_grid — plot.SelectBoost_gamlss_grid

<dl>

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


<dt>top</dt>
<dd>Integer; how many top terms to show in the confidence barplot.</dd>


<dt>...</dt>
<dd>Ignored (reserved for future).</dd>

</dl>

plot.SelectBoost_gamlss_grid: Plot summary for sb_gamlss_c0_grid

Description

Usage

Value

Arguments