Package index • glmsusie

All functions

AIC(<glmsusie>): Extract AIC from a glmsusie Object

BIC(<glmsusie>): Extract BIC from a glmsusie Object

additive_effect_fit: Fit Likelihood-based Additive Single-Effect Regression (LASER) Model

benchmark(): Benchmark Multiple Variable Selection Methods

coef(<glmsusie>): Extract Model Coefficients from a glmsusie Object

combine_fisher(): Combine p-values using Fisher's Method

combine_simes(): Combine p-values using Simes' Method

confidence_set(): Construct Confidence Sets from Posterior Model Probabilities

cox(): Cox Proportional Hazards "family" Object

decompose_theta: Decompose Row Sums of a Theta Matrix into Single-Effect Components

deviance(<glmsusie>): Calculate Deviance for a glmsusie Object

dispersion.glmsusie(): Extract Dispersion Parameter from a glmsusie Object

fitted(<glmsusie>): Extract Fitted Values from a glmsusie Object

generate(): Generate Synthetic Data for Benchmark Simulations

glmsusie(): Generalized Linear Models with Confidence Sets (glmsusie)

is_covered(): Check Whether True Actives Are Covered by Confidence Sets

iskept(): Select Columns with Significant and Non-Diffuse Credible Sets

logLik(<glmsusie>): Extract Log-Likelihood from a glmsusie Object

plot(<glmsusie>): Plot a glmsusie Model Object

plot_cs_matrix(): Plot inclusion probabilities for a set of "credible sets"

predict(<glmsusie>): Model Predictions from a glmsusie Object

print(<glmsusie>): Print a glmsusie Model Object

print(<summary.glmsusie>): Print a glmsusie Model Summary

residuals(<glmsusie>): Extract Residuals from a glmsusie Object

run_elastic_net(): Run Elastic Net Regression with Cross-Validation

run_glmnet(): Run glmnet with Cross-Validation

run_lasso(): Run LASSO Regression with Cross-Validation

single_effect_fit: Compute Single‐Effect Fit for GLM or Cox with Optional Truncated‐L1 Penalty

summarize_coef(): Summarize Coefficient Estimates Across Simulations

summarize_cs(): Summarize Multi‐Set Confidence Regions Across Simulations

summary(<glmsusie>): Summarize a glmsusie Model Fit

univariate_fit: Compute Univariate Fit with Optional Truncated‐L1 Penalty

univariate_irls_cox: Estimate Univariate Cox Model via Iteratively Reweighted Least Squares (IRLS)

univariate_irls_glm: Compute Generalized Linear Model Estimate for Univariate Predictor with Intercept

univariate_irls_glm_no_intercept: Fit a Univariate GLM Without Intercept Using IRLS

univariate_loglik: Compute Univariate Log-Likelihood for GLM or Cox Model

univariate_loglik_cox: Compute Log-Likelihood for Univariate Cox Model

univariate_loglik_glm: Compute Log-Likelihood for Univariate GLM