Sparse Survival Dimension Reduction for High-Dimensional Censored Data

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Documentation for package ‘ssurvdr’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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