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]

coxphf_1.13.4.tar.gz
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coxphf_1.13.4.tgz(r-4.6-x86_64)coxphf_1.13.4.tgz(r-4.6-arm64)coxphf_1.13.4.tgz(r-4.5-x86_64)coxphf_1.13.4.tgz(r-4.5-arm64)
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coxphf_1.13.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
coxphf/json (API)

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

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:

Conda:

fortran

5.77 score 2 stars 1 packages 73 scripts 1.4k downloads 16 mentions 6 exports 14 dependencies

Last updated from:6277613757. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK122
linux-devel-x86_64OK119
source / vignettesOK149
linux-release-arm64OK116
linux-release-x86_64OK117
macos-release-arm64OK89
macos-release-x86_64OK236
macos-oldrel-arm64OK149
macos-oldrel-x86_64OK244
windows-develOK111
windows-releaseOK96
windows-oldrelOK89
wasm-releaseOK103

Exports:augment.coxphfcoxphfcoxphfplotcoxphftestglancetidy.coxphf

Dependencies:cligenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigrlangsurvivaltibbleutf8vctrs