Inference after Cox-Lasso Variable Selection


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Documentation for package ‘selSurv’ version 0.1.1

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selSurv-package Selective inference workflows for penalized Cox models
compare_selection_diagnostics Compare selection diagnostics across bootstrap workflows
coxlasso_boot Unified bootstrap inference for Cox-Lasso models
coxlasso_boot_parametric Model-based bootstrap for Cox-Lasso post-selection workflows
coxlasso_boot_reselect Model-based Cox bootstrap with re-selection
coxlasso_debias Approximate debiasing for a Cox-Lasso fit
coxlasso_efron_events Event-level bootstrap for debiased Cox-Lasso score contributions
coxlasso_fit Fit a Cox-Lasso workflow
coxlasso_refit Refit Cox model on selected support
coxlasso_split Split-sample inference after Cox-Lasso selection
coxlasso_wildboot Multiplier wild bootstrap for debiased Cox-Lasso estimator
plot_selection_diagnostics Plot selection diagnostics across bootstrap workflows
print.selSurv_boot Print methods for selSurv objects
print.selSurv_debias Print methods for selSurv objects
print.selSurv_fit Print methods for selSurv objects
print.selSurv_split Print methods for selSurv objects
selSurv_methods List implemented package methods
selSurv_targets Explain the implemented inferential targets
selSurv_workflows Choosing an inference method in selSurv