.gen_family

Try to generate values for a family

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

.gen_family function

<dl><dt>fam</dt>
<dd>Character scalar naming the family. This should correspond to a
distribution available in the <code>gamlss.dist</code> package, as used when
constructing <code>r&lt;family&gt;</code> generator functions (for example, <code>NO'' or </code>LOGNO'').</dd>
<dt>n</dt>
<dd>Positive integer giving the number of observations to generate for
the requested family.</dd></dl>

Arguments

Try to generate values for a family — .gen_family

<dl>

<dt>fam</dt>
<dd>Character scalar naming the family. This should correspond to a
distribution available in the <code>gamlss.dist</code> package, as used when
constructing <code>r&lt;family&gt;</code> generator functions (for example, <code>NO'' or </code>LOGNO'').</dd>


<dt>n</dt>
<dd>Positive integer giving the number of observations to generate for
the requested family.</dd>

</dl>

.gen_family: Try to generate values for a family

Description

Usage

Value

Arguments