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

5.82 score 2 stars 1 packages 75 scripts 1.5k downloads 16 mentions 6 exports 14 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK116
linux-devel-x86_64OK123
source / vignettesOK153
linux-release-arm64OK115
linux-release-x86_64OK126
macos-release-arm64OK83
macos-release-x86_64OK208
macos-oldrel-arm64OK103
macos-oldrel-x86_64OK217
windows-develOK96
windows-releaseOK84
windows-oldrelOK119
wasm-releaseOK96

Exports:augment.coxphfcoxphfcoxphfplotcoxphftestglancetidy.coxphf

Dependencies:cligenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigrlangsurvivaltibbleutf8vctrs