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.
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