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 as described in Teranishi et al.(2025). In addition, the package provides functions for constructing and evaluating B-spline copulas based on five M-spline or I-spline basis functions, allowing users to flexibly model and compute bivariate dependence structures. Both the copula function and its density can be evaluated.

Version:	0.0.4
Imports:	joint.Cox, ggplot2
Suggests:	knitr, rmarkdown, spelling
Published:	2025-06-12
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
Citation:	splineCox citation info
Materials:	README NEWS
CRAN checks:	splineCox results

Documentation:

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

Downloads:

Package source:	splineCox_0.0.4.tar.gz
Windows binaries:	r-devel: splineCox_0.0.4.zip, r-release: splineCox_0.0.4.zip, r-oldrel: splineCox_0.0.4.zip
macOS binaries:	r-release (arm64): splineCox_0.0.4.tgz, r-oldrel (arm64): splineCox_0.0.4.tgz, r-release (x86_64): splineCox_0.0.4.tgz, r-oldrel (x86_64): splineCox_0.0.4.tgz
Old sources:	splineCox archive

Linking:

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