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-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

5.85 score 2 stars 1 packages 76 scripts 1.6k downloads 16 mentions 6 exports 14 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK130
linux-devel-x86_64OK155
source / vignettesOK179
linux-release-arm64OK127
linux-release-x86_64OK124
macos-release-arm64OK90
macos-release-x86_64OK203
macos-oldrel-arm64OK109
macos-oldrel-x86_64OK169
windows-develOK101
windows-releaseOK103
windows-oldrelOK116
wasm-releaseOK96

Exports:augment.coxphfcoxphfcoxphfplotcoxphftestglancetidy.coxphf

Dependencies:cligenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigrlangsurvivaltibbleutf8vctrs