Package: coxphf 1.13.4

Georg Heinze

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
coxphf_1.13.4.zip(r-4.7-x86_64)coxphf_1.13.4.zip(r-4.7-arm64)coxphf_1.13.4.zip(r-4.6-x86_64)coxphf_1.13.4.zip(r-4.6-arm64)
coxphf_1.13.4.tar.gz(r-4.7-arm64)coxphf_1.13.4.tar.gz(r-4.7-x86_64)coxphf_1.13.4.tar.gz(r-4.6-arm64)coxphf_1.13.4.tar.gz(r-4.6-x86_64)
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://cran.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

4.52 score 1 stars 1 packages 81 scripts 2.7k downloads 16 mentions 6 exports 14 dependencies

Last updated from:e03ee72be0. Checks:9 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK161
source / vignettesOK161
linux-release-arm64OK108
linux-release-x86_64OK111
windows-devel-arm64OK239
windows-devel-x86_64OK396
windows-release-arm64WARNING216
windows-release-x86_64OK128
wasm-releaseOK946

Exports:augment.coxphfcoxphfcoxphfplotcoxphftestglancetidy.coxphf

Dependencies:cligenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigrlangsurvivaltibbleutf8vctrs