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✨
DESCRIPTION
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

6.12 score 2 stars 1 packages 84 scripts 2.6k downloads 16 mentions 6 exports 14 dependencies

Last updated from:6277613757. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK163
linux-devel-x86_64OK109
source / vignettesOK152
linux-release-arm64OK105
linux-release-x86_64OK117
macos-release-arm64OK117
macos-release-x86_64OK271
macos-oldrel-arm64OK134
macos-oldrel-x86_64OK356
windows-devel-arm64OK319
windows-devel-x86_64OK125
windows-release-arm64WARNING306
windows-release-x86_64OK83
windows-oldrel-x86_64OK92
wasm-releaseOK75

Exports:augment.coxphfcoxphfcoxphfplotcoxphftestglancetidy.coxphf

Dependencies:cligenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigrlangsurvivaltibbleutf8vctrs