Package index • SelectBoost.beta

All functions

betareg_enet_gamlss(): Beta regression Elastic-Net via GAMLSS (gamlss.lasso)

betareg_glmnet(): Pure glmnet IRLS selector for Beta regression

betareg_lasso_gamlss(): Beta regression LASSO via GAMLSS

betareg_step_aic(): Stepwise Beta regression by AIC

betareg_step_aicc(): Stepwise Beta regression by AICc (finite-sample corrected AIC)

betareg_step_bic(): Stepwise Beta regression by BIC

compare_selectors_bootstrap(): Bootstrap selection frequencies across selectors

compare_selectors_single(): Run all selectors once on a dataset

compare_table(): Merge single-run results and bootstrap frequencies

fastboost_interval(): Interval-response stability selection (fastboost variant)

plot_compare_coeff(): Side-by-side coefficient heatmap

plot_compare_freq(): Side-by-side selection-frequency heatmap

sb_apply_selector_manual(): Apply a selector to a collection of resampled designs

sb_beta(): SelectBoost for beta-regression models

sb_beta_interval(): SelectBoost workflow for interval responses

print(<sb_beta>) summary(<sb_beta>) print(<summary.sb_beta>) autoplot.sb_beta(): User-friendly methods for sb_beta() results

sb_normalize() sb_compute_corr() sb_group_variables(): Core helpers for SelectBoost-style beta regression

sb_resample_groups(): Generate correlated design replicates for a set of groups

sb_selection_frequency(): Compute selection frequencies from coefficient paths

simulation_DATA.beta(): Simulate interval Beta-regression data (flexible)