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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: not available, 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:

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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.
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