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.