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coxphf  

Cox Regression with Firth's Penalized Likelihood
View on CRAN: Click here


Download and install coxphf package within the R console
Install from CRAN:
install.packages("coxphf")

Install from Github:
library("remotes")
install_github("cran/coxphf")

Install by package version:
library("remotes")
install_version("coxphf", "1.13.4")



Attach the package and use:
library("coxphf")
Maintained by
Georg Heinze
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-04-11
Latest Update: 2023-08-11
Description:
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.
How to cite:
Georg Heinze (2007). coxphf: Cox Regression with Firth's Penalized Likelihood. R package version 1.13.4, https://cran.r-project.org/web/packages/coxphf. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-2 (2007-04-11 10:21), 1.05 (2010-04-22 10:16), 1.08 (2011-10-27 21:35), 1.09 (2012-09-14 14:04), 1.10 (2013-07-08 12:01), 1.11 (2015-01-21 18:02), 1.12 (2016-12-22 12:27), 1.13.1 (2020-09-28 11:00), 1.13.3 (2023-07-18 19:40), 1.13 (2018-03-03 10:50)
Other packages that cited coxphf R package
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Other R packages that coxphf depends, imports, suggests or enhances
Complete documentation for coxphf
Functions, R codes and Examples using the coxphf R package
Some associated functions: augment.coxphf . breast . coxphf-package . coxphf . coxphfplot . coxphftest . glance.coxphf . reexports . tidy.coxphf . 
Some associated R codes: coxphf-package.R . coxphf-tidiers.R . coxphf.R . coxphfplot.R . coxphftest.R . data.R . print.coxphf.R . print.coxphftest.R . summary.coxphf.R .  Full coxphf package functions and examples
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