A thin wrapper around sb_gamlss() with SelectBoost-flavored arguments.
SelectBoost_gamlss(
formula,
data,
family,
mu_scope,
sigma_scope = NULL,
nu_scope = NULL,
tau_scope = NULL,
base_sigma = ~1,
base_nu = ~1,
base_tau = ~1,
B = 100,
sample_fraction = 0.7,
pi_thr = 0.6,
k = 2,
direction = c("both", "forward", "backward"),
pre_standardize = FALSE,
use_groups = TRUE,
c0 = 0.5,
trace = TRUE,
...
)# S3 method for SelectBoost_gamlss
summary(object, prop.level = 0.6, ...)
# S3 method for summary.SelectBoost_gamlss
plot(x, ...)
An object of class c("SelectBoost_gamlss"), with slots similar to sb_gamlss.
A list with selection, threshold and confidence.
Invisibly returns x.
Base formula for the location \(\mu\) parameter (in the main model call).
Data frame.
A gamlss.dist family object (e.g., gamlss.dist::NO()).
Formula of candidate terms for \(\mu\).
Formulas of candidate terms for \(\sigma\), \(\nu\), \(\tau\).
Optional base (always-included) formulas for \(\sigma\), \(\nu\), \(\tau\).
Number of bootstrap subsamples for stability selection.
Fraction of rows per subsample (e.g., 0.7).
Selection proportion threshold to define “stable” terms (e.g., 0.6).
Penalty weight for stepwise GAIC when engine = "stepGAIC" (default 2).
Stepwise direction for stepGAIC ("both", "forward", "backward").
Logical; standardize numeric predictors before penalized fits.
Logical; enable SelectBoost grouping.
Correlation threshold for grouping (as in SelectBoost::group_func_2).
Logical; print progress messages.
Not used.
A asb_gamlss object.
A target proportion level.
A summary of asb_gamlss object.