Package index
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AICc_gamlss() - AICc for a gamlss fit
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SelectBoost_gamlss()summary(<SelectBoost_gamlss>)plot(<summary.SelectBoost_gamlss>) - SelectBoost-style wrapper for GAMLSS
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autoboost_gamlss() - AutoBoost for GAMLSS (SelectBoost-style)
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boys7482 - Anthropometric measurements for Dutch boys (1997 reference)
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check_fast_vs_generic() - Numerical check: fast vs generic deviance log-likelihood
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confidence_functionals() - Confidence functionals from a c0 grid
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confidence_table() - Compute SelectBoost-like confidence table across c0
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cv_deviance_sb() - K-fold deviance for an sb_gamlss configuration
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.family_defaults() - Reasonable defaults
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.family_tolerance() - Per-family numeric tolerance for equality checks
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.gen_family() - Try to generate values for a family
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effect_plot()print(<effect_plot_failure>) - One-variable effect plot from an sb_gamlss (or gamlss) fit
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fast_vs_generic_ll() - Compare fast vs generic deviance log-likelihood evaluation
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fastboost_gamlss() - FastBoost for GAMLSS (lightweight stability selection)
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get_density_fun() - Get a density function for a gamlss family
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knockoff_filter_mu() - Knockoff filter for mu (approximate group control)
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knockoff_filter_param() - Knockoff filter for sigma/nu/tau (approximate group control)
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loglik_gamlss_newdata() - Log-likelihood (sum) on newdata given a gamlss fit
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plot(<SelectBoost_gamlss>) - Plot selection proportions for a single sb_gamlss
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plot(<SelectBoost_gamlss_grid>) - Plot summary for sb_gamlss_c0_grid
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plot(<sb_confidence>) - Plot confidence functionals
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plot_sb_gamlss() - Plot selection frequencies for sb_gamlss
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plot_stability_curves() - Plot stability curves p(c0) for selected terms
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predict_params() - Predict distribution parameters on newdata
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sb_gamlss() - SelectBoost for GAMLSS (stability selection)
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sb_gamlss_c0_grid() - Stability curves over a c0 grid for sb_gamlss
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selection_table() - Selection table accessor
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tune_sb_gamlss() - Tune select engines/penalties via a small stability run