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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

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.