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>.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	stats, utils, survival, glmnet, MASS
Suggests:	knitr, Matrix, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-10-31
DOI:	10.32614/CRAN.package.selSurv (may not be active yet)
Author:	Lena Schemet [aut, cre], Sarah Friedrich-Welz [aut], Andreas Groll [aut]
Maintainer:	Lena Schemet <lena.schemet at uni-a.de>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	selSurv results

Documentation:

Reference manual:	selSurv.html , selSurv.pdf
Vignettes:	Debiased inference, wild bootstrap, and Efron's bootstrap (source, R code) Fixed-support model-based bootstrap (source, R code) Getting started with selSurv (source, R code) Procedure-level re-selection after Cox-Lasso selection (source, R code) Sample-splitting inference after Cox-Lasso selection (source, R code)

Downloads:

Package source:	selSurv_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): selSurv_0.1.1.tgz, r-oldrel (arm64): selSurv_0.1.1.tgz, r-release (x86_64): selSurv_0.1.1.tgz, r-oldrel (x86_64): selSurv_0.1.1.tgz

Linking:

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