Package: sox 1.2.3

sox: Structured Learning in Time-Dependent Cox Models

Efficient procedures for fitting and cross-validating the structurally-regularized time-dependent Cox models.

Authors: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]

sox_1.2.3.tar.gz
sox_1.2.3.zip(r-4.7-x86_64)sox_1.2.3.zip(r-4.7-arm64)sox_1.2.3.zip(r-4.6-x86_64)sox_1.2.3.zip(r-4.6-arm64)sox_1.2.3.zip(r-4.5-x86_64)
sox_1.2.3.tgz(r-4.6-x86_64)sox_1.2.3.tgz(r-4.6-arm64)sox_1.2.3.tgz(r-4.5-x86_64)sox_1.2.3.tgz(r-4.5-arm64)
sox_1.2.3.tar.gz(r-4.7-arm64)sox_1.2.3.tar.gz(r-4.7-x86_64)sox_1.2.3.tar.gz(r-4.6-arm64)sox_1.2.3.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sox/json (API)

# Install 'sox' in R:
install.packages('sox', repos = c('https://ly129.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • sim - A simulated demo dataset 'sim'

On CRAN:

Conda:

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

openblascppopenmp

1.70 score 2 scripts 478 downloads 6 exports 10 dependencies

Last updated from:b9ca37f942. Checks:14 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK162
source / vignettesOK194
linux-release-arm64OK126
linux-release-x86_64OK150
macos-release-arm64OK146
macos-release-x86_64OK244
macos-oldrel-arm64OK109
macos-oldrel-x86_64OK354
windows-devel-arm64OK243
windows-devel-x86_64OK192
windows-release-arm64OK225
windows-release-x86_64OK135
windows-oldrel-x86_64OK131
wasm-releaseFAIL99

Exports:nested_structureoverlap_structureplot.soxplot.sox_cvsoxsox_cv

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival