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.
| Version: | 1.13.1 |
| Depends: | R (≥ 3.0.2) |
| Imports: | survival |
| Published: | 2020-09-28 |
| Author: | Georg Heinze [aut, cre], Meinhard Ploner [aut], Lena Jiricka [aut] |
| Maintainer: | Georg Heinze <georg.heinze at meduniwien.ac.at> |
| BugReports: | https://github.com/georgheinze/coxphf/issues/ |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://cemsiis.meduniwien.ac.at/kb/wf/software/statistische-software/fccoxphf/ |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | Survival |
| CRAN checks: | coxphf results |
| Reference manual: | coxphf.pdf |
| Package source: | coxphf_1.13.1.tar.gz |
| Windows binaries: | r-devel: coxphf_1.13.1.zip, r-release: coxphf_1.13.1.zip, r-oldrel: coxphf_1.13.1.zip |
| macOS binaries: | r-release (arm64): coxphf_1.13.1.tgz, r-oldrel (arm64): coxphf_1.13.1.tgz, r-release (x86_64): coxphf_1.13.1.tgz, r-oldrel (x86_64): coxphf_1.13.1.tgz |
| Old sources: | coxphf archive |
| Reverse depends: | PHInfiniteEstimates |
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