coxphf: Cox Regression with Firth's Penalized Likelihood

Implements Firth's penalized maximum likelihood bias reduction method for Cox regression which has been shown to provide a solution in case of monotone likelihood (nonconvergence of likelihood function). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.

Version: 1.13
Depends: R (≥ 3.0.2)
Imports: survival
Published: 2018-03-03
Author: Georg Heinze [aut, cre], Meinhard Ploner [aut]
Maintainer: Georg Heinze <georg.heinze at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
In views: Survival
CRAN checks: coxphf results


Reference manual: coxphf.pdf
Package source: coxphf_1.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: coxphf_1.13.tgz
OS X Mavericks binaries: r-oldrel: coxphf_1.12.tgz
Old sources: coxphf archive


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