compute_c1f_weights     Compute basis-adaptive variable weights
compute_icomp           Compute information criteria for reduced Cox
                        model
evaluate_ssurvdr        Evaluate ssurvdr fitted model against known
                        simulation truth
extract_sdr_basis       Extract sufficient dimension reduction basis
fit_reduced_cox         Fit reduced Cox proportional hazards model
fit_ssurvdr             Fit sparse survival dimension reduction model
fit_ssurvdr_grid        Fit ssurvdr model over a tuning grid
fit_ssurvdr_sparse_path
                        Fit an ICOMP-guided row-sparsity path
mec_covariance          Maximum Entropy Covariance Estimator
run_ssurvdr_simulation
                        Run Monte Carlo simulation for ssurvdr
save_kernel             Compute survival SAVE kernel matrix
screen_survival_variables
                        Screen variables using univariate Cox models
select_variables        Select variables from SDR basis
simulate_ssurvdr        Simulate high-dimensional censored survival
                        data for ssurvdr
sparse_projection       Sparse projection from SAVE kernel
sparsify_sdr_basis      Row-sparsify an SDR basis
summarise_ssurvdr       Summarise ssurvdr model output
survival_slicing        Construct survival-informed slices for censored
                        survival data
