splineCox 0.0.1

• Initial release on CRAN.

• Implements a two-stage estimation approach for Cox regression.

• Uses five-parameter M-spline functions for baseline hazard modeling.

• Provides model selection based on log-likelihood criteria.

• Initial CRAN submission.

splineCox 0.0.2

• Fixed bugs in the splineCox.reg2 function when handling custom numeric vectors.
• Added examples for custom vector normalization in the vignette.
• Improved documentation and error messages.

splineCox 0.0.3

New Features

• Added plotting functionality to splineCox.reg1 and splineCox.reg2 for visualizing the estimated baseline hazard function with confidence intervals.
• Updated the vignette to include descriptions and examples of the plotting feature.

Documentation Improvements

• Improved documentation for splineCox.reg1 and splineCox.reg2 to clearly describe the new plotting feature.
• Updated the vignette to demonstrate how to use the plotting functionality.

splineCox 0.0.3

New Features

• Added plotting functionality to splineCox.reg1 and splineCox.reg2 for visualizing the estimated baseline hazard function with confidence intervals.
• Updated the vignette to include descriptions and examples of the plotting feature.

Documentation Improvements

• Improved documentation for splineCox.reg1 and splineCox.reg2 to clearly describe the new plotting feature.
• Updated the vignette to demonstrate how to use the plotting functionality.

splineCox 0.0.4

New Features

• Added a new function spline.copula implementing a B-spline copula model based on the five-parameter M-spline basis functions.
• The copula function offers both copula density and distribution function evaluations, with a variety of built-in coefficient matrices (presets) for modeling a wide range of dependence structures.

Documentation and Publication

• The main methodology of this package, including the spline-based Cox regression has been published in a peer-reviewed journal.
• Updated documentation to reference the published article.

splineCox 0.0.5

• Added analytical computation of Kendall’s tau and Spearman’s rho in spline.copula()
• Updated documentation and vignette accordingly

splineCox 0.0.6

• Added spline.copula.simu() to report Kendall’s tau and Spearman’s rho(empirical and theoretical).

splineCox 0.0.7

• Fixed missing importFrom(stats, integrate)
• Updated spline.copula.simu with improved functionality

splineCox 0.0.8

Changes

• Updated the constraint tolerance used in spline.copula() to 3e-4 to improve numerical stability while maintaining estimation accuracy.
• Added spline.copula.MLE() as a dedicated maximum likelihood estimation routine for spline-based copula models, intended for stable and reproducible estimation workflows. # splineCox 0.0.9

Changes

• Added R0 = “I” to spline.copula.MLE() as a user-facing option for independence-copula initialization.
• Preserved the existing data-driven initialization with R0 = NULL and custom matrix initialization.
• Updated documentation and added regression tests for all initialization modes.
• Reduced the sample size in the executable MLE example to keep CRAN example runtime below the check threshold.