The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

netcox: Structural Learning in Cox Models with Time-Dependent Covariates

Efficient procedures for fitting and cross-validating the overlapping group Lasso (implemented in C++) for Cox models with time-dependent covariates. The penalty term is a weighted sum of infinity norms of (overlapping) groups of coefficients, which can select variables structurally with a specific grouping structure.

Version: 1.0.1
Depends: R (≥ 3.5.0), survival, glmnet
Imports: Rcpp (≥ 1.0.10)
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0)
Published: 2023-02-27
Author: Yi Lian [aut, cre], Guanbo Wang [aut], Archer Y. Yang [aut], Julien Mairal [ctb]
Maintainer: Yi Lian <yi.lian at mail.mcgill.ca>
License: GPL (≥ 3)
Copyright: file inst/COPYRIGHTS
netcox copyright details
NeedsCompilation: yes
Materials: README
CRAN checks: netcox results

Documentation:

Reference manual: netcox.pdf

Downloads:

Package source: netcox_1.0.1.tar.gz
Windows binaries: r-devel: netcox_1.0.1.zip, r-release: netcox_1.0.1.zip, r-oldrel: netcox_1.0.1.zip
macOS binaries: r-release (arm64): netcox_1.0.1.tgz, r-oldrel (arm64): netcox_1.0.1.tgz, r-release (x86_64): netcox_1.0.1.tgz, r-oldrel (x86_64): netcox_1.0.1.tgz
Old sources: netcox archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=netcox to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.