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. Furthermore, the package supports computation of dependence measures such as Kendall's tau and Spearman's rho, derived analytically from the copula parameters.

Version: 0.0.5
Imports: joint.Cox, ggplot2
Suggests: knitr, rmarkdown, spelling
Published: 2025-07-10
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_0.0.5.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:

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