Package: coxphf 1.13.4

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), see Heinze and Schemper (2001) and Heinze and Dunkler (2008). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.

Authors:Georg Heinze [aut, cre], Meinhard Ploner [aut], Lena Jiricka [aut], Gregor Steiner [aut]

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coxphf.pdf |coxphf.html
coxphf/json (API)

# Install 'coxphf' in R:
install.packages('coxphf', repos = c('https://georgheinze.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/georgheinze/coxphf/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • breast - Breast Cancer Data Set

On CRAN:

6 exports 2 stars 3.22 score 15 dependencies 1 dependents 16 mentions 24 scripts 1.2k downloads

Last updated 1 years agofrom:6277613757. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-win-x86_64OKSep 04 2024
R-4.5-linux-x86_64OKSep 04 2024
R-4.4-win-x86_64OKSep 04 2024
R-4.4-mac-x86_64OKSep 04 2024
R-4.4-mac-aarch64OKSep 04 2024
R-4.3-win-x86_64OKSep 04 2024
R-4.3-mac-x86_64OKSep 04 2024
R-4.3-mac-aarch64OKSep 04 2024

Exports:augment.coxphfcoxphfcoxphfplotcoxphftestglancetidy.coxphf

Dependencies:clifansigenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigrlangsurvivaltibbleutf8vctrs