sox: Structured Learning in Time-Dependent Cox Models

Efficient procedures for fitting and cross-validating the structurally-regularized time-dependent Cox models. The penalty term is a weighted sum of infinity norms of (overlapping) groups of coefficients, which can select variables following a user-specified grouping structure.

Version: 1.0
Depends: R (≥ 3.5.0), survival, glmnet
Imports: Rcpp (≥ 1.0.10)
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0)
Published: 2023-03-22
Author: Yi Lian [aut, cre], Guanbo Wang [aut], Archer Y. Yang [aut], Mireille E. Schnitzer [aut], Robert W. Platt [aut], Rui Wang [aut], Marc Dorais [aut], Sylvie Perreault [aut], Julien Mairal [ctb], Yuansi Chen [ctb]
Maintainer: Yi Lian <yi.lian at>
License: GPL (≥ 3)
Copyright: file inst/COPYRIGHTS
sox copyright details
NeedsCompilation: yes
Materials: README
CRAN checks: sox results


Reference manual: sox.pdf


Package source: sox_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sox_1.0.tgz, r-oldrel (arm64): sox_1.0.tgz, r-release (x86_64): sox_1.0.tgz, r-oldrel (x86_64): sox_1.0.tgz


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