Package: selSurv 0.1.1

Lena Schemet

selSurv: Inference after Cox-Lasso Variable Selection

Methods for inference after Cox-Lasso variable selection in right-censored survival data. The package provides Cox-Lasso fitting, support-restricted Cox refitting, sample splitting, approximately debiased coefficient estimates, score-level bootstrap intervals, and model-based bootstrap intervals with fixed-support or repeated-selection procedures. The methods differ in their inferential targets and theoretical guarantees. Relevant methodological investigations are presented in Schemet and Friedrich-Welz (2026) <doi:10.1186/s12874-026-02887-0>, Schemet, Groll and Friedrich-Welz (2026) <doi:10.48550/arXiv.2608.18893>, and Schemet and Friedrich-Welz (2026) <doi:10.48550/arXiv.2608.24230>.

Authors:Lena Schemet [aut, cre], Sarah Friedrich-Welz [aut], Andreas Groll [aut]

selSurv_0.1.1.tar.gz
selSurv_0.1.1.zip(r-4.7-any)selSurv_0.1.1.zip(r-4.6-any)
selSurv_0.1.1.tar.gz(r-4.7-any)selSurv_0.1.1.tar.gz(r-4.6-any)
selSurv_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
selSurv/json (API)

# Install 'selSurv' in R:
install.packages('selSurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.40 score 17 exports 11 dependencies

Last updated from:427eadb58b. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK131
source / vignettesOK178
linux-releaseOK132
windows-develOK101
windows-releaseOK101
wasm-releaseOK96

Exports:compare_selection_diagnosticscoxlasso_bootcoxlasso_boot_parametriccoxlasso_boot_reselectcoxlasso_debiascoxlasso_efron_eventscoxlasso_fitcoxlasso_refitcoxlasso_splitcoxlasso_wildbootplot_selection_diagnosticsprint.selSurv_bootprint.selSurv_debiasprint.selSurv_fitprint.selSurv_splitselSurv_methodsselSurv_targets

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival

Debiased inference, wild bootstrap, and Efron's bootstrap
Debiased estimator | Wild bootstrap and Efron's bootstrap | Interpretation

Last update: 2026-10-31
Started: 2026-10-31

Fixed-support model-based bootstrap
Public interface | Bootstrap construction | Reporting

Last update: 2026-10-31
Started: 2026-10-31

Getting started with selSurv
A common Cox-Lasso fit | Choose the inferential target | Inspecting results

Last update: 2026-10-31
Started: 2026-10-31

Procedure-level re-selection after Cox-Lasso selection
Why this is a separate analysis | Available procedures | Interpretation of zeroes and failures | Small reproducible example | Reproducibility mode

Last update: 2026-10-31
Started: 2026-10-31

Sample-splitting inference after Cox-Lasso selection
Basic call | Target and interpretation

Last update: 2026-10-31
Started: 2026-10-31