The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

splineCox: A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function

Implements a two-stage estimation approach for Cox regression using five-parameter M-spline functions to model the baseline hazard. It allows for flexible hazard shapes and model selection based on log-likelihood criteria.

Version: 0.0.1
Imports: joint.Cox
Suggests: knitr, rmarkdown, spelling
Published: 2024-12-18
DOI: 10.32614/CRAN.package.splineCox
Author: Ren Teranishi [aut, cre]
Maintainer: Ren Teranishi <ren.teranishi1227 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: splineCox results

Documentation:

Reference manual: splineCox.pdf
Vignettes: Introduction to splineCox (source, R code)

Downloads:

Package source: splineCox_0.0.1.tar.gz
Windows binaries: r-devel: splineCox_0.0.1.zip, r-release: splineCox_0.0.1.zip, r-oldrel: splineCox_0.0.1.zip
macOS binaries: r-release (arm64): splineCox_0.0.1.tgz, r-oldrel (arm64): splineCox_0.0.1.tgz, r-release (x86_64): splineCox_0.0.1.tgz, r-oldrel (x86_64): splineCox_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=splineCox to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.