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CoxBoost: Cox Models by Likelihood Based Boosting for a Single Survival Endpoint or Competing Risks

Provides routines for fitting Cox models by likelihood based boosting for single event survival data with right censoring or in the presence of competing risks. The methodology is described in Binder and Schumacher (2008) <doi:10.1186/1471-2105-9-14> and Binder et al. (2009) <doi:10.1093/bioinformatics/btp088>.

Version: 1.5.1
Depends: R (≥ 3.6.0)
Imports: Matrix, survival
Suggests: parallel, prodlim, snowfall
Published: 2025-12-11
DOI: 10.32614/CRAN.package.CoxBoost
Author: John Zobolas ORCID iD [cre, aut], Harald Binder ORCID iD [aut]
Maintainer: John Zobolas <bblodfon at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: CoxBoost citation info
Materials: README, NEWS
CRAN checks: CoxBoost results

Documentation:

Reference manual: CoxBoost.html , CoxBoost.pdf

Downloads:

Package source: CoxBoost_1.5.1.tar.gz
Windows binaries: r-devel: CoxBoost_1.5.1.zip, r-release: CoxBoost_1.5.1.zip, r-oldrel: CoxBoost_1.5.1.zip
macOS binaries: r-release (arm64): CoxBoost_1.5.1.tgz, r-oldrel (arm64): CoxBoost_1.5.1.tgz, r-release (x86_64): CoxBoost_1.5.1.tgz, r-oldrel (x86_64): CoxBoost_1.5.1.tgz
Old sources: CoxBoost archive

Linking:

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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.
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