Stability curves over a c0 grid for sb_gamlss
sb_gamlss_c0_grid(
formula,
data,
family,
mu_scope,
sigma_scope = NULL,
nu_scope = NULL,
tau_scope = NULL,
base_sigma = ~1,
base_nu = ~1,
base_tau = ~1,
c0_grid = seq(0.1, 0.9, by = 0.1),
B = 60,
sample_fraction = 0.7,
pi_thr = 0.6,
k = 2,
direction = c("both", "forward", "backward"),
pre_standardize = FALSE,
trace = TRUE,
progress = TRUE,
use_groups = TRUE,
corr_func = "cor",
group_fun = SelectBoost::group_func_2,
...
)An object of class "SelectBoost_gamlss_grid" containing
results: named list of sb_gamlss fits, names are c0 values
table: data.frame with parameter, term, count, prop, c0
pi_thr: the threshold used
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 \(\sigma\), \(\nu\), \(\tau\).
Numeric vector of c0 thresholds in (0,1).
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; print progress messages.
Logical; show a progress bar across c0_grid.
Logical; treat SelectBoost correlation groups during resampling.
Correlation function passed to SelectBoost::boost.compcorrs.
Grouping function passed to SelectBoost::boost.findgroups.
Passed to underlying engines (e.g., to gamlss::gamlss, glmnet, etc.).